Improving long-tail classification via decoupling and regularisation - Shuzheng Gao; Chaozheng Wang; Cuiyun Gao; Wenjian Luo; Peiyi Han; Qing Liao; Guandong Xu (CAAI Trans. Intell. Technol., 2025)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey - Zihao Li; Chao Yang; Yakun Chen; Xianzhi Wang; Hongxu Chen; Guandong Xu; Lina Yao; Michael Sheng (ACM Comput. Surv., 2025)

DyBooster: Leveraging large language model as booster for dynamic recommendation - Haoran Tang; Xueyao Sun; Shiqing Wu; Zhihong Cui; Guandong Xu; Qing Li (Expert Syst. Appl., 2025)

Deep multimodal learning for time series analysis in social computing: a survey - Chao Yang; Yakun Chen; Zihao Li; Xianzhi Wang; Kaize Shi; Lina Yao; Guandong Xu; Zhongwen Guo (Int. J. Multim. Inf. Retr., 2025)

Fraud detection in multi-relation graph: Contrastive Learning on Feature and Structural Levels - Jiangnan Tang; Huanhuan Gu; Darko B. Vukovic; Guandong Xu; Youquan Wang; Haicheng Tao; Jie Cao (Neurocomputing, 2025)

Causal cascading convolution networks for multi-behavior sequential recommendation - Dan Lu; Shiqing Wu; Hao Zhang; Guandong Xu; Qilong Han (Inf. Sci., 2025)

Self-supervised dual graph learning for recommendation - Anchen Li; Bo Yang; Huan Huo; Farookh Khadeer Hussain; Guandong Xu (Knowl. Based Syst., 2025)

Graph Intention Embedding Neural Network for tag-aware recommendation - Dongjing Wang; Haojiang Yao; Dongjin Yu; Shiyu Song; He Weng; Guandong Xu; Shuiguang Deng (Neural Networks, 2025)

A Lightweight Spatio-Temporal Neural Network With Sampling-Based Time Series Decomposition for Traffic Forecasting - Dongjing Wang; Gangming Guo; Tianpei OuYang; Dongjin Yu; Haiping Zhang; Bao Li; Rong Jiang; Guandong Xu; Shuiguang Deng (IEEE Trans. Intell. Transp. Syst., 2025)

A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems - Dianer Yu; Qian Li; Xiangmeng Wang; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2025)

Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation - Haoran Tang; Shiqing Wu; Zhihong Cui; Yicong Li; Guandong Xu; Qing Li (IEEE Trans. Knowl. Data Eng., 2025)

Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation - Xueyao Sun; Kaize Shi; Haoran Tang; Dingxian Wang; Guandong Xu; Qing Li (IEEE Trans. Knowl. Data Eng., 2025)

HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network - Qian Li; Zhichao Wang; Haiyang Xia; Gang Li; Yanan Cao; Lina Yao; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)

TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation - Haoran Tang; Shiqing Wu; Xueyao Sun; Jun Zeng; Guandong Xu; Qing Li (ACM Trans. Inf. Syst., 2025)

Distributed Recommendation Systems: Survey and Research Directions - Qiqi Cai; Jian Cao; Guandong Xu; Nengjun Zhu (ACM Trans. Inf. Syst., 2025)

Contrastive Modality-Disentangled Learning for Multimodal Recommendation - Xixun Lin; Rui Liu; Yanan Cao; Lixin Zou; Qian Li; Yongxuan Wu; Yang Liu; Dawei Yin; Guandong Xu (ACM Trans. Inf. Syst., 2025)

Dynamic Spatial-Temporal Graph Convolution Network for E-Bike Traffic Flow Forecasting - Dongjin Yu; Gangming Guo; Dongjing Wang; Tianpei OuYang; Feng Wan; Jitao Liu; Guandong Xu; Shuiguang Deng (IEEE Trans. Veh. Technol., 2025)

A cross-domain knowledge tracing model based on graph optimal transport - Zhengyang Wu; Yuqi Liu; Jianwei Cen; Zetao Zheng; Guandong Xu (World Wide Web (WWW), 2025)

CUGF: A Reliable and Fair Recommendation Framework - Nitin Bisht; Xiuwen Gong; Guandong Xu (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

Conformal Prediction for Partial Label Learning - Xiuwen Gong; Nitin Bisht; Guandong Xu (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

StructFact: Reasoning Factual Knowledge from Structured Data with Large Language Models - Sirui Huang; Yanggan Gu; Zhonghao Li; Xuming Hu; Qing Li; Guandong Xu (Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025)

LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following - Kaize Shi; Xueyao Sun; Dingxian Wang; Yinlin Fu; Guandong Xu; Qing Li (Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025, Abu Dhabi, UAE, January 19-24, 2025, 2025)

Expert-Guided Toxicity Filtration for Debiased Generation - Xueyao Sun; Kaize Shi; Haoran Tang; Guandong Xu; Qing Li (Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part IV, 2025)

How to Select Pre-Trained Code Models for Reuse? A Learning Perspective - Zhangqian Bi; Yao Wan; Zhaoyang Chu; Yufei Hu; Junyi Zhang; Hongyu Zhang; Guandong Xu; Hai Jin (IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2025, Montreal, QC, Canada, March 4-7, 2025, 2025)

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge - Sirui Huang; Hanqian Li; Yanggan Gu; Xuming Hu; Qing Li; Guandong Xu (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 2025)

Hypercomplex Knowledge Graph-Aware Recommendation - Anchen Li; Bo Yang; Huan Huo; Farookh Hussain; Guandong Xu (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 2025)

How to Select Pre-Trained Code Models for Reuse? A Learning Perspective - Zhangqian Bi; Yao Wan; Zhaoyang Chu; Yufei Hu; Junyi Zhang; Hongyu Zhang; Guandong Xu; Hai Jin (CoRR, 2025)

STAR: Stepwise Task Augmentation and Relation Learning for Aspect Sentiment Quad Prediction - Wenna Lai; Haoran Xie; Guandong Xu; Qing Li (CoRR, 2025)

Large Language Models are Few-shot Multivariate Time Series Classifiers - Yakun Chen; Zihao Li; Chao Yang; Xianzhi Wang; Guandong Xu (CoRR, 2025)

From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT - Dawei Xu; Haoran Yang; Marian-Andrei Rizoiu; Guandong Xu (CoRR, 2025)

HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge - Sirui Huang; Hanqian Li; Yanggan Gu; Xuming Hu; Qing Li; Guandong Xu (CoRR, 2025)

UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training - Jiaqi Deng; Kaize Shi; Zonghan Wu; Huan Huo; Dingxian Wang; Guandong Xu (CoRR, 2025)

A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task - Jiaqi Deng; Zonghan Wu; Huan Huo; Guandong Xu (CoRR, 2025)

When LLMs Team Up: The Emergence of Collaborative Affective Computing - Wenna Lai; Haoran Xie; Guandong Xu; Qing Li; S. Joe Qin (CoRR, 2025)

Listwise Preference Alignment Optimization for Tail Item Recommendation - Zihao Li; Chao Yang; Tong Zhang; Yakun Chen; Xianzhi Wang; Guandong Xu; Daoyi Dong (CoRR, 2025)

Natural language interactions enhanced by data visualization to explore insurance claims and manage risk - Md. Rafiqul Islam; Imran Razzak; Xianzhi Wang; Peter Tilocca; Guandong Xu (Ann. Oper. Res., 2024)

A topic-controllable keywords-to-text generator with knowledge base network - Li He; Kaize Shi; Dingxian Wang; Xianzhi Wang; Guandong Xu (CAAI Trans. Intell. Technol., 2024)

A novel complex network prediction method based on multi-granularity contrastive learning - Shanshan Sui; Qilong Han; Dan Lu; Shiqing Wu; Guandong Xu (CCF Trans. Pervasive Comput. Interact., 2024)

API Recommendation For Mashup Creation: A Comprehensive Survey - Hadeel Alhosaini; Sultan Alharbi; Xianzhi Wang; Guandong Xu (Comput. J., 2024)

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit - Yao Wan; Zhangqian Bi; Yang He; Jianguo Zhang; Hongyu Zhang; Yulei Sui; Guandong Xu; Hai Jin; Philip S. Yu (ACM Comput. Surv., 2024)

Exploring explicit and implicit graph learning for multivariate time series imputation - Yakun Chen; Ruotong Hu; Zihao Li; Chao Yang; Xianzhi Wang; Guodong Long; Guandong Xu (Eng. Appl. Artif. Intell., 2024)

Achieving counterfactual fairness with imperfect structural causal model - Tri Dung Duong; Qian Li; Guandong Xu (Expert Syst. Appl., 2024)

Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction - Dongjin Yu; Gangming Guo; Dongjing Wang; Haiping Zhang; Bao Li; Guandong Xu; Shuiguang Deng (Expert Syst. Appl., 2024)

Dyformer: A dynamic transformer-based architecture for multivariate time series classification - Chao Yang; Xianzhi Wang; Lina Yao; Guodong Long; Guandong Xu (Inf. Sci., 2024)

Neural Causal Graph collaborative filtering - Xiangmeng Wang; Qian Li; Dianer Yu; Wei Huang; Qing Li; Guandong Xu (Inf. Sci., 2024)

Strategies for evaluating visual analytics systems: A systematic review and new perspectives - Md. Rafiqul Islam; Shanjita Akter; Linta Islam; Imran Razzak; Xianzhi Wang; Guandong Xu (Inf. Vis., 2024)

Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation - Pan Gu; Haiyang Hu; Guandong Xu (Knowl. Based Syst., 2024)

Causality-based counterfactual explanation for classification models - Tri Dung Duong; Qian Li; Guandong Xu (Knowl. Based Syst., 2024)

Multi-view GCN for loan default risk prediction - Zihao Li; Yakun Chen; Xianzhi Wang; Lina Yao; Guandong Xu (Neural Comput. Appl., 2024)

Temporal Diversity-Aware Micro-Video Recommendation with Long- and Short-Term Interests Modeling - Pan Gu; Haiyang Hu; Dongjing Wang; Dongjin Yu; Guandong Xu (Neural Process. Lett., 2024)

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study - Yang Wu; Yao Wan; Hongyu Zhang; Yulei Sui; Wucai Wei; Wei Zhao; Guandong Xu; Hai Jin (Proc. ACM Manag. Data, 2024)

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve - Zhihong Cui; Xiangguo Sun; Hongxu Chen; Li Pan; Lizhen Cui; Shijun Liu; Guandong Xu (IEEE Trans. Comput. Soc. Syst., 2024)

Guest Editorial: Special Issue on Generating Human Readable Explanations in NLP - Imran Razzak; Mohamed Reda Bouadjenek; Muhammad Aamir Cheema; Ibrahim A. Hameed; Guangdong Xu; Amin Beheshti (IEEE Trans. Comput. Soc. Syst., 2024)

MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games - Dongjin Yu; Xingliang Wang; Yu Xiong; Xudong Shen; Runze Wu; Dongjing Wang; Zhene Zou; Guandong Xu (ACM Trans. Intell. Syst. Technol., 2024)

Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (IEEE J. Biomed. Health Informatics, 2024)

Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies - Yao Wu; Jian Cao; Guandong Xu (ACM Trans. Knowl. Discov. Data, 2024)

Counterfactual Explainable Conversational Recommendation - Dianer Yu; Qian Li; Xiangmeng Wang; Qing Li; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Reinforced Path Reasoning for Counterfactual Explainable Recommendation - Xiangmeng Wang; Qian Li; Dianer Yu; Qing Li; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation - Yicong Li; Xiangguo Sun; Hongxu Chen; Sixiao Zhang; Yu Yang; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Multi-Level Graph Knowledge Contrastive Learning - Haoran Yang; Yuhao Wang; Xiangyu Zhao; Hongxu Chen; Hongzhi Yin; Qing Li; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment - Yangyang Shu; Qian Li; Lingqiao Liu; Guandong Xu (IEEE Trans. Multim., 2024)

FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems - Yao Wu; Jian Cao; Guandong Xu (ACM Trans. Inf. Syst., 2024)

Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation - Dongjing Wang; Xin Zhang; Yuyu Yin; Dongjin Yu; Guandong Xu; Shuiguang Deng (ACM Trans. Inf. Syst., 2024)

Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics - Kaixi Hu; Lin Li; Qing Xie; Jianquan Liu; Xiaohui Tao; Guandong Xu (ACM Trans. Inf. Syst., 2024)

Counterfactual Explanation for Fairness in Recommendation - Xiangmeng Wang; Qian Li; Dianer Yu; Qing Li; Guandong Xu (ACM Trans. Inf. Syst., 2024)

Editorial to Special Issue on Multimedia Cognitive Computing for Intelligent Transportation System - Shaohua Wan; Yi Jin; Guangdong Xu; Michele Nappi (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation - Xiangmeng Wang; Qian Li; Dianer Yu; Qing Li; Guandong Xu (Trans. Recomm. Syst., 2024)

Category-aware self-supervised graph neural network for session-based recommendation - Dongjing Wang; Ruijie Du; Qimeng Yang; Dongjin Yu; Feng Wan; Xiaojun Gong; Guandong Xu; Shuiguang Deng (World Wide Web (WWW), 2024)

Graph Reasoning Transformers for Knowledge-Aware Question Answering - Ruilin Zhao; Feng Zhao; Liang Hu; Guandong Xu (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Learning Influential Relationships for Implicit Influence Maximization in Unknown Networks - Shiqing Wu; Guandong Xu (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

Preface - Chengtao Cai; Xiaohui Tao; Jian Cao; Qilong Han; Guandong Xu (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

Welcome Message - Chengtao Cai; Xiaohui Tao; Jian Cao; Qilong Han; Guandong Xu (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

Leveraging Artificial Intelligence for Affordable and Clean Energy: Advancing UN Sustainable Development Goal 7 - Bavly Hanna; Guandong Xu; Xianzhi Wang; Md. Jahangir Hossain (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

Exclusion Vis: A Visual Interactive System for Exclusion Analysis in Life Insurance Using Machine Learning Techniques - Md Rafiqul Islam; Thanh Thao Lam Nguyen; Shanjita Akter Prome; Md. Kowsar Hossain Sakib; Cesar Sanín; Guandong Xu; Weidong Huang (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

Fairness-Aware Mutual Information for Multimodal Recommendation - Dan Lu; Xu Chen; Rui Chen; Shiqing Wu; Guandong Xu (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation - Dan Lu; Hao Zhang; Lijie Li; Shiqing Wu; Guandong Xu (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

Speech Emotion Recognition Using Mel Spectrogram HPCA and Variational Mode Decomposition - David Hason Rudd; Xingyi Gao; Md Rafiqul Islam; Huan Huo; Guandong Xu (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism - Shanshan Sui; Qilong Han; Dan Lu; Shiqing Wu; Guandong Xu (11th International Conference on Behavioural and Social Computing, BESC 2024, Harbin, China, August 16-18, 2024, 2024)

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction - Kaixi Hu; Lin Li; Qing Xie; Xiaohui Tao; Guandong Xu (Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII, 2024)

Counterfactual Debasing for Multi-behavior Recommendations - Sirui Huang; Qian Li; Xiangmeng Wang; Dianer Yu; Guandong Xu; Qing Li (Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part III, 2024)

Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning - Qilong Han; Shanshan Sui; Dan Lu; Shiqing Wu; Guandong Xu (Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part II, 2024)

Developing an LLM-Empowered Agent to Enhance Student Collaborative Learning Through Group Discussion - Sixu An; Yicong Li; Yunsi Ma; Gary Cheng; Guandong Xu (Proceeding of the 32nd International Conference on Computers in Education, ICCE 2024, Quezon City, Philippines, November 25-29, 2024, 2024)

Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation - Anchen Li; Bo Yang; Huan Huo; Farookh Khadeer Hussain; Guandong Xu (40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024, 2024)

Does Label Smoothing Help Deep Partial Label Learning? - Xiuwen Gong; Nitin Bisht; Guandong Xu (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering - Ruilin Zhao; Feng Zhao; Long Wang; Xianzhi Wang; Guandong Xu (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation - Zhaoyang Chu; Yao Wan; Qian Li; Yang Wu; Hongyu Zhang; Yulei Sui; Guandong Xu; Hai Jin (Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2024, Vienna, Austria, September 16-20, 2024, 2024)

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach - Yicong Li; Yu Yang; Jiannong Cao; Shuaiqi Liu; Haoran Tang; Guandong Xu (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 2024)

DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning - Kangzheng Liu; Feng Zhao; Yu Yang; Guandong Xu (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

Homogeneous-listing-augmented Self-supervised Multimodal Product Title Refinement - Jiaqi Deng; Kaize Shi; Huan Huo; Dingxian Wang; Guandong Xu (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels - Abdullah Alsuhaibani; Imran Razzak; Shoaib Jameel; Xianzhi Wang; Guandong Xu (Web Information Systems Engineering - WISE 2024 - 25th International Conference, Doha, Qatar, December 2-5, 2024, Proceedings, Part IV, 2024)

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification - Abdullah Alsuhaibani; Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024, 2024)

Challenging Low Homophily in Social Recommendation - Wei Jiang; Xinyi Gao; Guandong Xu; Tong Chen; Hongzhi Yin (Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024)

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit - Yao Wan; Yang He; Zhangqian Bi; Jianguo Zhang; Hongyu Zhang; Yulei Sui; Guandong Xu; Hai Jin; Philip S. Yu (CoRR, 2024)

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification - Abdullah Alsuhaibani; Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2024)

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation - Yicong Li; Xiangguo Sun; Hongxu Chen; Sixiao Zhang; Yu Yang; Guandong Xu (CoRR, 2024)

APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning - Guiming Cao; Kaize Shi; Hong Fu; Huaiwen Zhang; Guandong Xu (CoRR, 2024)

Challenging Low Homophily in Social Recommendation - Wei Jiang; Xinyi Gao; Guandong Xu; Tong Chen; Hongzhi Yin (CoRR, 2024)

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation - Yakun Chen; Kaize Shi; Zhangkai Wu; Juan Chen; Xianzhi Wang; Julian J. McAuley; Guandong Xu; Shui Yu (CoRR, 2024)

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction - Kaixi Hu; Lin Li; Qing Xie; Xiaohui Tao; Guandong Xu (CoRR, 2024)

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation - Zhaoyang Chu; Yao Wan; Qian Li; Yang Wu; Hongyu Zhang; Yulei Sui; Guandong Xu; Hai Jin (CoRR, 2024)

Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study - Yang Wu; Yao Wan; Hongyu Zhang; Yulei Sui; Wucai Wei; Wei Zhao; Guandong Xu; Hai Jin (CoRR, 2024)

Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation - Kaize Shi; Xueyao Sun; Qing Li; Guandong Xu (CoRR, 2024)

Expert-Guided Extinction of Toxic Tokens for Debiased Generation - Xueyao Sun; Kaize Shi; Haoran Tang; Guandong Xu; Qing Li (CoRR, 2024)

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach - Yicong Li; Yu Yang; Jiannong Cao; Shuaiqi Liu; Haoran Tang; Guandong Xu (CoRR, 2024)

RVISA: Reasoning and Verification for Implicit Sentiment Analysis - Wenna Lai; Haoran Xie; Guandong Xu; Qing Li (CoRR, 2024)

NarrationDep: Narratives on Social Media For Automatic Depression Detection - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2024)

Reasoning Factual Knowledge in Structured Data with Large Language Models - Sirui Huang; Yanggan Gu; Xuming Hu; Zhonghao Li; Qing Li; Guandong Xu (CoRR, 2024)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey - Zihao Li; Chao Yang; Yakun Chen; Xianzhi Wang; Hongxu Chen; Guandong Xu; Lina Yao; Quan Z. Sheng (CoRR, 2024)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning - Haoran Yang; Xiangyu Zhao; Sirui Huang; Qing Li; Guandong Xu (CoRR, 2024)

Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation - Sixu An; Xiangguo Sun; Yicong Li; Yu Yang; Guandong Xu (CoRR, 2024)

An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals - Jiahui Jin; Yi Hong; Guandong Xu; Jinghui Zhang; Jun Tang; Hancheng Wang (CoRR, 2024)

Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning - Wenna Lai; Haoran Xie; Guandong Xu; Qing Li (CoRR, 2024)

Social responses to the COVID-19 pandemic - Wu He; Guandong Xu; Imran Razzak (Behav. Inf. Technol., 2023)

Deconfounded recommendation via causal intervention - Dianer Yu; Qian Li; Xiangmeng Wang; Guandong Xu (Neurocomputing, 2023)

Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation - Xingliang Wang; Dongjing Wang; Dongjin Yu; Runze Wu; Qimeng Yang; Shuiguang Deng; Guandong Xu (Neurocomputing, 2023)

AIoT for sustainable manufacturing: Overview, challenges, and opportunities - Abdul Matin; Md. Rafiqul Islam; Xianzhi Wang; Huan Huo; Guandong Xu (Internet Things, 2023)

Event-based incremental recommendation via factors mixed Hawkes process - Zhihong Cui; Xiangguo Sun; Li Pan; Shijun Liu; Guandong Xu (Inf. Sci., 2023)

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning - Haoran Yang; Xiangyu Zhao; Muyang Li; Hongxu Chen; Guandong Xu (Inf. Sci., 2023)

Attentional Gated Res2Net for Multivariate Time Series Classification - Chao Yang; Xianzhi Wang; Lina Yao; Guodong Long; Jing Jiang; Guandong Xu (Neural Process. Lett., 2023)

A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval - Zongda Wu; Jian Xie; Shigen Shen; Chongze Lin; Guandong Xu; Enhong Chen (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Graph-Aware Deep Fusion Networks for Online Spam Review Detection - Li He; Guandong Xu; Shoaib Jameel; Xianzhi Wang; Hongxu Chen (IEEE Trans. Comput. Soc. Syst., 2023)

Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks - Abdul Rehman Javed; Imran Razzak; Guandong Xu (IEEE J. Biomed. Health Informatics, 2023)

Guest Editorial Open and Interpretable AI in Computational Pathology - Imran Razzak; Muhammad Khuram Khan; Guandong Xu; Fahmi Khalifa (IEEE J. Biomed. Health Informatics, 2023)

Be Causal: De-Biasing Social Network Confounding in Recommendation - Qian Li; Xiangmeng Wang; Zhichao Wang; Guandong Xu (ACM Trans. Knowl. Discov. Data, 2023)

Hyperbolic Neural Collaborative Recommender - Anchen Li; Bo Yang; Huan Huo; Hongxu Chen; Guandong Xu; Zhen Wang (IEEE Trans. Knowl. Data Eng., 2023)

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation - Xiangmeng Wang; Qian Li; Dianer Yu; Peng Cui; Zhichao Wang; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation - Yicong Li; Hongxu Chen; Yile Li; Lin Li; Philip S. Yu; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

Self-Supervised Hypergraph Representation Learning for Sociological Analysis - Xiangguo Sun; Hong Cheng; Bo Liu; Jia Li; Hongyang Chen; Guandong Xu; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2023)

Causal Optimal Transport for Treatment Effect Estimation - Qian Li; Zhichao Wang; Shaowu Liu; Gang Li; Guandong Xu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1 - Hongzhi Yin; Yizhou Sun; Guandong Xu; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2023)

Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2 - Hongzhi Yin; Yizhou Sun; Guandong Xu; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2023)

An effective method for the protection of user health topic privacy for health information services - Zongda Wu; Huawen Liu; Jian Xie; Guandong Xu; Gang Li; Chenglang Lu (World Wide Web (WWW), 2023)

HaPPy: Harnessing the Wisdom from Multi-Perspective Graphs for Protein-Ligand Binding Affinity Prediction (Student Abstract) - Xianfeng Zhang; Yanhui Gu; Guandong Xu; Yafei Li; Jinlan Wang; Zhenglu Yang (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

AMR-TST: Abstract Meaning Representation-based Text Style Transfer - Kaize Shi; Xueyao Sun; Li He; Dingxian Wang; Qing Li; Guandong Xu (Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations - Chao Yang; Xianzhi Wang; Lina Yao; Guodong Long; Guandong Xu (Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part I, 2023)

MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation - Yakun Chen; Kaize Shi; Xianzhi Wang; Guandong Xu (Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part V, 2023)

Local Outlier Detection Based on K-distance Variation to Enhancing Imaging-aided Diagnosis - Huiwen Dong; Rongcheng Li; Wenhua Wang; Shangrui Wu; Guandong Xu; Zhiwen Zhao; Qing-Guo Wang (10th International Conference on Behavioural and Social Computing, BESC 2023, Larnaca, Cyprus, October 30 - Nov. 1, 2023, 2023)

Underwriting Knowledge Graph Construction, Maintenance and Its Application on Explainable Exclusion - Khanh-Van Nguyen; Peter Tilocca; Huan Huo; Guandong Xu (10th International Conference on Behavioural and Social Computing, BESC 2023, Larnaca, Cyprus, October 30 - Nov. 1, 2023, 2023)

Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data - David Hason Rudd; Huan Huo; Md Rafiqul Islam; Guandong Xu (10th International Conference on Behavioural and Social Computing, BESC 2023, Larnaca, Cyprus, October 30 - Nov. 1, 2023, 2023)

From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT - Dawei Xu; Haoran Yang; Marian-Andrei Rizoiu; Guandong Xu (10th International Conference on Behavioural and Social Computing, BESC 2023, Larnaca, Cyprus, October 30 - Nov. 1, 2023, 2023)

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation - Xin Xia; Junliang Yu; Guandong Xu; Hongzhi Yin (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

Causality-guided Graph Learning for Session-based Recommendation - Dianer Yu; Qian Li; Hongzhi Yin; Guandong Xu (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation - Kangzheng Liu; Feng Zhao; Guandong Xu; Xianzhi Wang; Hai Jin (39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023, 2023)

IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting - Kangzheng Liu; Feng Zhao; Guandong Xu; Shiqing Wu (IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023, 2023)

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems - Shiqing Wu; Guandong Xu; Xianzhi Wang (IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023, 2023)

Explainable exclusion in the life insurance using multi-label classifier - Khanh-Van Nguyen; Md. Rafiqul Islam; Huan Huo; Peter Tilocca; Guandong Xu (International Joint Conference on Neural Networks, IJCNN 2023, Gold Coast, Australia, June 18-23, 2023, 2023)

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations - Haoran Yang; Xiangyu Zhao; Yicong Li; Hongxu Chen; Guandong Xu (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows - Tri Dung Duong; Qian Li; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part II, 2023)

An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance - David Hason Rudd; Huan Huo; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25-28, 2023, Proceedings, Part III, 2023)

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation - Jing Long; Tong Chen; Quoc Viet Hung Nguyen; Guandong Xu; Kai Zheng; Hongzhi Yin (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

Dynamic Graph Evolution Learning for Recommendation - Haoran Tang; Shiqing Wu; Guandong Xu; Qing Li (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

Simplifying Graph-based Collaborative Filtering for Recommendation - Li He; Xianzhi Wang; Dingxian Wang; Haoyuan Zou; Hongzhi Yin; Guandong Xu (Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023, 2023)

Exploiting Explicit and Implicit Item relationships for Session-based Recommendation - Zihao Li; Xianzhi Wang; Chao Yang; Lina Yao; Julian J. McAuley; Guandong Xu (Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023, 2023)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning - Haoran Yang; Hongxu Chen; Sixiao Zhang; Xiangguo Sun; Qian Li; Xiangyu Zhao; Guandong Xu (Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023)

Advances in Web-Based Learning - ICWL 2023 - 22nd International Conference, ICWL 2023, Sydney, NSW, Australia, November 26-28, 2023, Proceedings - Haoran Xie; Chiu-Lin Lai; Wei Chen; Guandong Xu; Elvira Popescu (Springer, 2023)

Knowledge Management and Acquisition for Intelligent Systems - 19th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2023, Jakarta, Indonesia, November 15-16, 2023, Proceedings - Shiqing Wu; Wenli Yang; Muhammad Bilal Amin; Byeong-Ho Kang; Guandong Xu (Springer, 2023)

Achieving Counterfactual Fairness with Imperfect Structural Causal Model - Tri Dung Duong; Qian Li; Guandong Xu (CoRR, 2023)

CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows - Tri Dung Duong; Qian Li; Guandong Xu (CoRR, 2023)

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation - Jing Long; Tong Chen; Nguyen Quoc Viet Hung; Guandong Xu; Kai Zheng; Hongzhi Yin (CoRR, 2023)

Causal Analysis of Customer Churn Using Deep Learning - David Hason Rudd; Huan Huo; Guandong Xu (CoRR, 2023)

Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions - David Hason Rudd; Huan Huo; Guandong Xu (CoRR, 2023)

Causal Neural Graph Collaborative Filtering - Xiangmeng Wang; Qian Li; Dianer Yu; Wei Huang; Guandong Xu (CoRR, 2023)

Counterfactual Explanation for Fairness in Recommendation - Xiangmeng Wang; Qian Li; Dianer Yu; Qing Li; Guandong Xu (CoRR, 2023)

LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following - Kaize Shi; Xueyao Sun; Dingxian Wang; Yinlin Fu; Guandong Xu; Qing Li (CoRR, 2023)

Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation - Xin Xia; Junliang Yu; Guandong Xu; Hongzhi Yin (CoRR, 2023)

GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation - Yakun Chen; Xianzhi Wang; Guandong Xu (CoRR, 2023)

Churn Prediction via Multimodal Fusion Learning: Integrating Customer Financial Literacy, Voice, and Behavioral Data - David Hason Rudd; Huan Huo; Md. Rafiqul Islam; Guandong Xu (CoRR, 2023)

An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance - David Hason Rudd; Huan Huo; Guandong Xu (CoRR, 2023)

Leveraged Mel spectrograms using Harmonic and Percussive Components in Speech Emotion Recognition - David Hason Rudd; Huan Huo; Guandong Xu (CoRR, 2023)

Predicting Financial Literacy via Semi-supervised Learning - David Hason Rudd; Huan Huo; Guandong Xu (CoRR, 2023)

Domain-specific NLP system to support learning path and curriculum design at tech universities - Nhi N. Y. Vo; Quang T. Vu; Nam H. Vu; Tu A. Vu; Bang D. Mach; Guandong Xu (Comput. Educ. Artif. Intell., 2022)

Learning persona-driven personalized sentimental representation for review-based recommendation - Peipei Wang; Lin Li; Ru Wang; Xinhao Zheng; Jiaxi He; Guandong Xu (Expert Syst. Appl., 2022)

Online Spam Review Detection: A Survey of Literature - Li He; Xianzhi Wang; Hongxu Chen; Guandong Xu (Hum. Centric Intell. Syst., 2022)

Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions - David Hason Rudd; Huan Huo; Guandong Xu (Hum. Centric Intell. Syst., 2022)

One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data - Imran Razzak; Nour Moustafa; Shahid Mumtaz; Guangdong Xu (Int. J. Intell. Syst., 2022)

Social dual-effect driven group modeling for neural group recommendation - Peipei Wang; Lin Li; Qing Xie; Ru Wang; Guandong Xu (Neurocomputing, 2022)

Stochastic intervention for causal inference via reinforcement learning - Tri Dung Duong; Qian Li; Guandong Xu (Neurocomputing, 2022)

Detecting Duplicate Questions in Stack Overflow via Source Code Modeling - Wei Gao; Jian Wu; Guandong Xu (Int. J. Softw. Eng. Knowl. Eng., 2022)

Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19 - Omar Sharif; Md. Rafiqul Islam; Md Zobaer Hasan; Muhammad Ashad Kabir; Md Emran Hasan; Salman A. AlQahtani; Guandong Xu (J. Heal. Informatics Res., 2022)

Improving healthcare outcomes using multimedia big data analytics - Imran Razzak; Peter W. Eklund; Guandong Xu (Neural Comput. Appl., 2022)

Privileged multi-task learning for attribute-aware aesthetic assessment - Yangyang Shu; Qian Li; Lingqiao Liu; Guandong Xu (Pattern Recognit., 2022)

Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention - Dongjing Wang; Xin Zhang; Zhengzhe Xiang; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Cybern., 2022)

Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures - Imran Razzak; Guandong Xu; Muhammad Khurram Khan (IEEE Trans. Ind. Informatics, 2022)

V-SVR+: Support Vector Regression With Variational Privileged Information - Yangyang Shu; Qian Li; Chang Xu; Shaowu Liu; Guandong Xu (IEEE Trans. Multim., 2022)

Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation - Dongjing Wang; Xin Zhang; Yao Wan; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Multim., 2022)

Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention - Wenhua Wang; Yuqun Zhang; Yulei Sui; Yao Wan; Zhou Zhao; Jian Wu; Philip S. Yu; Guandong Xu (IEEE Trans. Software Eng., 2022)

Deep treatment-adaptive network for causal inference - Qian Li; Zhichao Wang; Shaowu Liu; Gang Li; Guandong Xu (VLDB J., 2022)

Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic - Nhi N. Y. Vo; Guandong Xu; Dat Anh Le (Web Intell., 2022)

API-GNN: attribute preserving oriented interactive graph neural network - Yuchen Zhou; Yanmin Shang; Yanan Cao; Qian Li; Chuan Zhou; Guandong Xu (World Wide Web, 2022)

Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media - Hamad Zogan; Imran Razzak; Xianzhi Wang; Shoaib Jameel; Guandong Xu (World Wide Web, 2022)

Reinforced KGs reasoning for explainable sequential recommendation - Zhihong Cui; Hongxu Chen; Lizhen Cui; Shijun Liu; Xueyan Liu; Guandong Xu; Hongzhi Yin (World Wide Web, 2022)

Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs - Hadeel Alhosaini; Xianzhi Wang; Lina Yao; Yakun Chen; Guandong Xu (IEEE International Conference on Services Computing, SCC 2022, Barcelona, Spain, July 10-16, 2022, 2022)

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks - Dawei Xu; Haoran Yang; Marian-Andrei Rizoiu; Guandong Xu (Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I, 2022)

Blockchain-based solutions for Humanitarian supply Chain Management - Bavly Hanna; Guandong Xu; Xianzhi Wang; Md. Jahangir Hossain (28th Americas Conference on Information Systems, AMCIS 2022, Minneapolis, MN, USA, August 10-14, 2022, 2022)

An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification - Chao Yang; Xianzhi Wang; Lina Yao; Jing Jiang; Guandong Xu (AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, 2022)

Predicting Financial Literacy via Semi-supervised Learning - David Hason Rudd; Huan Huo; Guandong Xu (AI 2021: Advances in Artificial Intelligence - 34th Australasian Joint Conference, AI 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, 2022)

Evidence-Based Process in Research Involving Machine Learning Algorithms - Wilson Kurnia Lukmanjaya; Md. Rafiqul Islam; Guandong Xu (9th International Conference on Behavioural and Social Computing, BESC 2022, Matsuyama, Japan, October 29-31, 2022, 2022)

ECTRS: A Personalised Early Career Trajectory Recommender System for Youths - Avery Tzeng Chiet Ngiam; Md. Rafiqul Islam; Guandong Xu (9th International Conference on Behavioural and Social Computing, BESC 2022, Matsuyama, Japan, October 29-31, 2022, 2022)

Big Data and Artificial Intelligence (AI) to Detect Glaucoma - Lei Yang; Yao Xie; Md. Rafiqul Islam; Guandong Xu (9th International Conference on Behavioural and Social Computing, BESC 2022, Matsuyama, Japan, October 29-31, 2022, 2022)

DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning - Kangzheng Liu; Feng Zhao; Hongxu Chen; Yicong Li; Guandong Xu; Hai Jin (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

DialMed: A Dataset for Dialogue-based Medication Recommendation - Zhenfeng He; Yuqiang Han; Zhenqiu Ouyang; Wei Gao; Hongxu Chen; Guandong Xu; Jian Wu (Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022, 2022)

Can Language Models Serve as Temporal Knowledge Bases? - Ruilin Zhao; Feng Zhao; Guandong Xu; Sixiao Zhang; Hai Jin (Findings of the Association for Computational Linguistics: EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

Attentional Gated Res2net for Multivariate Time Series Classification - Chao Yang; Xianzhi Wang; Lina Yao; Guodong Long; Jing Jiang; Guandong Xu (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning - Kangzheng Liu; Feng Zhao; Guandong Xu; Xianzhi Wang; Hai Jin (IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022, 2022)

Adaptive Graph Recurrent Network for Multivariate Time Series Imputation - Yakun Chen; Zihao Li; Chao Yang; Xianzhi Wang; Guodong Long; Guandong Xu (Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V, 2022)

NaturalCC: An Open-Source Toolkit for Code Intelligence - Yao Wan; Yang He; Zhangqian Bi; Jianguo Zhang; Yulei Sui; Hongyu Zhang; Kazuma Hashimoto; Hai Jin; Guandong Xu; Caiming Xiong; Philip S. Yu (44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, ICSE Companion 2022, Pittsburgh, PA, USA, May 22-24, 2022, 2022)

What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code - Yao Wan; Wei Zhao; Hongyu Zhang; Yulei Sui; Guandong Xu; Hai Jin (44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022, 2022)

Semantics-Guided Disentangled Learning for Recommendation - Dianer Yu; Qian Li; Xiangmeng Wang; Zhichao Wang; Yanan Cao; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I, 2022)

Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition - David Hason Rudd; Huan Huo; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II, 2022)

A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction - Yansong Shen; Lin Li; Qing Xie; Xin Li; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I, 2022)

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation - Xin Xia; Hongzhi Yin; Junliang Yu; Qinyong Wang; Guandong Xu; Quoc Viet Hung Nguyen (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations - Xiangmeng Wang; Qian Li; Dianer Yu; Zhichao Wang; Hongxu Chen; Guandong Xu (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

You see what I want you to see: poisoning vulnerabilities in neural code search - Yao Wan; Shijie Zhang; Hongyu Zhang; Yulei Sui; Guandong Xu; Dezhong Yao; Hai Jin; Lichao Sun (Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022, 2022)

Cross-Language Binary-Source Code Matching with Intermediate Representations - Yi Gui; Yao Wan; Hongyu Zhang; Huifang Huang; Yulei Sui; Guandong Xu; Zhiyuan Shao; Hai Jin (IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022, Honolulu, HI, USA, March 15-18, 2022, 2022)

Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction - Zihao Li; Xianzhi Wang; Lina Yao; Yakun Chen; Guandong Xu; Ee-Peng Lim (Web Information Systems Engineering - WISE 2022 - 23rd International Conference, Biarritz, France, November 1-3, 2022, Proceedings, 2022)

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing - Chengkun Zhang; Hongxu Chen; Sixiao Zhang; Guandong Xu; Junbin Gao (WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, 2022)

Dual Space Graph Contrastive Learning - Haoran Yang; Hongxu Chen; Shirui Pan; Lin Li; Philip S. Yu; Guandong Xu (WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, 2022)

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation - Sixiao Zhang; Hongxu Chen; Xiangguo Sun; Yicong Li; Guandong Xu (WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, 2022)

Off-policy Learning over Heterogeneous Information for Recommendation - Xiangmeng Wang; Qian Li; Dianer Yu; Guandong Xu (WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, 2022)

PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I - Sankalp Khanna; Jian Cao; Quan Bai; Guandong Xu (Springer, 2022)

PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part II - Sankalp Khanna; Jian Cao; Quan Bai; Guandong Xu (Springer, 2022)

PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part III - Sankalp Khanna; Jian Cao; Quan Bai; Guandong Xu (Springer, 2022)

Dual Space Graph Contrastive Learning - Haoran Yang; Hongxu Chen; Shirui Pan; Lin Li; Philip S. Yu; Guandong Xu (CoRR, 2022)

Cross-Language Binary-Source Code Matching with Intermediate Representations - Yi Gui; Yao Wan; Hongyu Zhang; Huifang Huang; Yulei Sui; Guandong Xu; Zhiyuan Shao; Hai Jin (CoRR, 2022)

Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation - Sixiao Zhang; Hongxu Chen; Xiangguo Sun; Yicong Li; Guandong Xu (CoRR, 2022)

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation - Xiangmeng Wang; Qian Li; Dianer Yu; Peng Cui; Zhichao Wang; Guandong Xu (CoRR, 2022)

What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code - Yao Wan; Wei Zhao; Hongyu Zhang; Yulei Sui; Guandong Xu; Hai Jin (CoRR, 2022)

Graph Masked Autoencoder - Hongxu Chen; Sixiao Zhang; Guandong Xu (CoRR, 2022)

DialMed: A Dataset for Dialogue-based Medication Recommendation - Zhenfeng He; Yuqiang Han; Zhenqiu Ouyang; Wei Gao; Hongxu Chen; Guandong Xu; Jian Wu (CoRR, 2022)

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation - Xin Xia; Hongzhi Yin; Junliang Yu; Qinyong Wang; Guandong Xu; Nguyen Quoc Viet Hung (CoRR, 2022)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning - Haoran Yang; Hongxu Chen; Sixiao Zhang; Xiangguo Sun; Qian Li; Guandong Xu (CoRR, 2022)

Reinforced Path Reasoning for Counterfactual Explainable Recommendation - Xiangmeng Wang; Qian Li; Dianer Yu; Guandong Xu (CoRR, 2022)

Federated Graph Contrastive Learning - Haoran Yang; Xiangyu Zhao; Muyang Li; Hongxu Chen; Guandong Xu (CoRR, 2022)

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks - Dawei Xu; Haoran Yang; Marian-Andrei Rizoiu; Guandong Xu (CoRR, 2022)

COV19IR : COVID-19 Domain Literature Information Retrieval - Arusarka Bose; Zili Zhou; Guandong Xu (CoRR, 2022)

Self-supervised Hypergraph Representation Learning for Sociological Analysis - Xiangguo Sun; Hong Cheng; Bo Liu; Jia Li; Hongyang Chen; Guandong Xu; Hongzhi Yin (CoRR, 2022)

Time-aware sequence model for next-item recommendation - Dongjing Wang; Dengwei Xu; Dongjin Yu; Guandong Xu (Appl. Intell., 2021)

Human-Centric Intelligent Systems: A Welcome Note from Editor(s)-in-Chief - Tianrui Li; Guandong Xu (Hum. Centric Intell. Syst., 2021)

Deep Visual Analytics (DVA): Applications, Challenges and Future Directions - Md. Rafiqul Islam; Shanjita Akter; Md Rakybuzzaman Ratan; Abu Raihan M. Kamal; Guandong Xu (Hum. Centric Intell. Syst., 2021)

DiaVis: Exploration and Analysis of Diabetes through Visual Interactive System - Mosiur Rahman; Md. Rafiqul Islam; Sharmin Akter; Shanjita Akter; Linta Islam; Guandong Xu (Hum. Centric Intell. Syst., 2021)

Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling - Pan Gu; Yuqiang Han; Wei Gao; Guandong Xu; Jian Wu (Neurocomputing, 2021)

Leveraging multi-level dependency of relational sequences for social spammer detection - Jun Yin; Qian Li; Shaowu Liu; Zhiang Wu; Guandong Xu (Neurocomputing, 2021)

Leveraging unstructured call log data for customer churn prediction - Nhi N. Y. Vo; Shaowu Liu; Xitong Li; Guandong Xu (Knowl. Based Syst., 2021)

From text to graph: a general transition-based AMR parsing using neural network - Min Gu; Yanhui Gu; Weilan Luo; Guandong Xu; Zhenglu Yang; Junsheng Zhou; Weiguang Qu (Neural Comput. Appl., 2021)

Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information - Zongxi Li; Haoran Xie; Guandong Xu; Qing Li; Mingming Leng; Chi Zhou (Pattern Recognit., 2021)

Socially-driven multi-interaction attentive group representation learning for group recommendation - Peipei Wang; Lin Li; Ru Wang; Guandong Xu; Jianwei Zhang (Pattern Recognit. Lett., 2021)

Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond - Jun Jason Zhang; Fei-Yue Wang; Yong Yuan; Guandong Xu; Huan Liu; Wei Gao; Shoaib Jameel; Imran Razzak; Peter W. Eklund; Sheraz Ahmed; Rui Qin; Juanjuan Li; et al. (IEEE Trans. Comput. Soc. Syst., 2021)

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia - Jianlong Zhou; Hamad Zogan; Shuiqiao Yang; Shoaib Jameel; Guandong Xu; Fang Chen (IEEE Trans. Comput. Soc. Syst., 2021)

CAME: Content- and Context-Aware Music Embedding for Recommendation - Dongjing Wang; Xin Zhang; Dongjin Yu; Guandong Xu; Shuiguang Deng (IEEE Trans. Neural Networks Learn. Syst., 2021)

FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks - Wei Hua; Yulei Sui; Yao Wan; Guangzhong Liu; Guandong Xu (IEEE Trans. Reliab., 2021)

Constructing dummy query sequences to protect location privacy and query privacy in location-based services - Zongda Wu; Guiling Li; Shigen Shen; Xinze Lian; Enhong Chen; Guandong Xu (World Wide Web, 2021)

RLINK: Deep reinforcement learning for user identity linkage - Xiaoxue Li; Yanan Cao; Qian Li; Yanmin Shang; Yangxi Li; Yanbing Liu; Guandong Xu (World Wide Web, 2021)

Aspect-level sentiment capsule network for micro-video click-through rate prediction - Yuqiang Han; Pan Gu; Wei Gao; Guandong Xu; Jian Wu (World Wide Web, 2021)

DFIAM: deep factorization integrated attention mechanism for smart TV recommendation - Yijie Zhou; Xuewen Shen; Suiyu Zhang; Dingguo Yu; Guandong Xu (World Wide Web, 2021)

Attentive sequential model based on graph neural network for next poi recommendation - Dongjing Wang; Xingliang Wang; Zhengzhe Xiang; Dongjin Yu; Shuiguang Deng; Guandong Xu (World Wide Web, 2021)

Harnessing Privileged Information for Hyperbole Detection - Rhys Biddle; Maciek Rybinski; Qian Li; Cécile Paris; Guandong Xu (Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association, ALTA 2021, online, December 8-10, 2021, 2021)

ExVis: Explainable Visual Decision Support System for Risk Management - Md. Rafiqul Islam; Jiaming Zhang; Md. Hamjajul Ashmafee; Imran Razzak; Jianlong Zhou; Xianzhi Wang; Guandong Xu (8th International Conference on Behavioral and Social Computing, BESC 2021, Doha, Qatar, October 29-31, 2021, 2021)

Click-Through Rate Prediction with Multi-Modal Hypergraphs - Li He; Hongxu Chen; Dingxian Wang; Shoaib Jameel; Philip S. Yu; Guandong Xu (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Hyperbolic Hypergraphs for Sequential Recommendation - Yicong Li; Hongxu Chen; Xiangguo Sun; Zhenchao Sun; Lin Li; Lizhen Cui; Philip S. Yu; Guandong Xu (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Causal-Aware Generative Imputation for Automated Underwriting - Qian Li; Tri Dung Duong; Zhichao Wang; Shaowu Liu; Dingxian Wang; Guandong Xu (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories - Li He; Dingxian Wang; Hanzhang Wang; Hongxu Chen; Guandong Xu (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Hilbert Sinkhorn Divergence for Optimal Transport - Qian Li; Zhichao Wang; Gang Li; Jun Pang; Guandong Xu (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation - Haoran Yang; Hongxu Chen; Lin Li; Philip S. Yu; Guandong Xu (IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021, 2021)

Stochastic Intervention for Causal Effect Estimation - Tri Dung Duong; Qian Li; Guandong Xu (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System - Md. Rafiqul Islam; Imran Razzak; Xianzhi Wang; Peter Tilocca; Guandong Xu (International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021, 2021)

ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System - Joshua Zerafa; Md. Rafiqul Islam; Muhammad Ashad Kabir; Guandong Xu (25th International Conference Information Visualisation, IV 2021, Sydney, Australia, July 5-9, 2021, 2021)

Where are we in embedding spaces? - Sixiao Zhang; Hongxu Chen; Xiao Ming; Lizhen Cui; Hongzhi Yin; Guandong Xu (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

C\(^2\)-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction - Yu Chu; Lin Li; Qing Xie; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I, 2021)

DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers - Yao Wu; Jian Cao; Guandong Xu; Yudong Tan (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

HACK: A Hierarchical Model for Fake News Detection - Yanqi Li; Ke Ji; Kun Ma; Zhenxiang Chen; Jun Wu; Yidong Li; Guandong Xu (Web Information Systems Engineering - WISE 2021 - 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26-29, 2021, Proceedings, Part I, 2021)

Expert Recommendations with Temporal Dynamics of User Interest in CQA - Xiaoqi Lv; Ke Ji; Zhenxiang Chen; Kun Ma; Jun Wu; Yidong Li; Guandong Xu (Web Information Systems Engineering - WISE 2021 - 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26-29, 2021, Proceedings, Part I, 2021)

Temporal Meta-path Guided Explainable Recommendation - Hongxu Chen; Yicong Li; Xiangguo Sun; Guandong Xu; Hongzhi Yin (WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021, 2021)

Temporal Meta-path Guided Explainable Recommendation - Hongxu Chen; Yicong Li; Xiangguo Sun; Guandong Xu; Hongzhi Yin (CoRR, 2021)

A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics - Hongru Liang; Haozheng Wang; Qian Li; Jun Wang; Guandong Xu; Jiawei Chen; Jin-Mao Wei; Zhenglu Yang (CoRR, 2021)

Hyperbolic Neural Collaborative Recommender - Anchen Li; Bo Yang; Hongxu Chen; Guandong Xu (CoRR, 2021)

TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers - Yao Wu; Jian Cao; Guandong Xu; Yudong Tan (CoRR, 2021)

Prototype-based Counterfactual Explanation for Causal Classification - Tri Dung Duong; Qian Li; Guandong Xu (CoRR, 2021)

Be Causal: De-biasing Social Network Confounding in Recommendation - Qian Li; Xiangmeng Wang; Guandong Xu (CoRR, 2021)

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems - Sixiao Zhang; Hongxu Chen; Xiao Ming; Lizhen Cui; Hongzhi Yin; Guandong Xu (CoRR, 2021)

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media - Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (CoRR, 2021)

Stochastic Intervention for Causal Effect Estimation - Tri Dung Duong; Qian Li; Guandong Xu (CoRR, 2021)

Stochastic Intervention for Causal Inference via Reinforcement Learning - Tri Dung Duong; Qian Li; Guandong Xu (CoRR, 2021)

Hyperbolic Hypergraphs for Sequential Recommendation - Yicong Li; Hongxu Chen; Xiangguo Sun; Zhenchao Sun; Lin Li; Lizhen Cui; Philip S. Yu; Guandong Xu (CoRR, 2021)

TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories - Li He; Dingxian Wang; Hanzhang Wang; Hongxu Chen; Guandong Xu (CoRR, 2021)

Click-Through Rate Prediction with Multi-Modal Hypergraphs - Li He; Hongxu Chen; Dingxian Wang; Shoaib Jameel; Philip S. Yu; Guandong Xu (CoRR, 2021)

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation - Haoran Yang; Hongxu Chen; Lin Li; Philip S. Yu; Guandong Xu (CoRR, 2021)

Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation - Yicong Li; Hongxu Chen; Yile Li; Lin Li; Philip S. Yu; Guandong Xu (CoRR, 2021)

Deep Treatment-Adaptive Network for Causal Inference - Qian Li; Zhichao Wang; Shaowu Liu; Gang Li; Guandong Xu (CoRR, 2021)

Randomized nonlinear one-class support vector machines with bounded loss function to detect of outliers for large scale IoT data - Imran Razzak; Khurram Zafar; Muhammad Imran; Guandong Xu (Future Gener. Comput. Syst., 2020)

Learning with privileged information for photo aesthetic assessment - Yangyang Shu; Qian Li; Shaowu Liu; Guandong Xu (Neurocomputing, 2020)

Big data analytics for preventive medicine - Muhammad Imran Razzak; Muhammad Imran; Guandong Xu (Neural Comput. Appl., 2020)

Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection - Imran Razzak; Raghib M. Abu-Saris; Michael Blumenstein; Guandong Xu (Neural Networks, 2020)

Deep learning for misinformation detection on online social networks: a survey and new perspectives - Md. Rafiqul Islam; Shaowu Liu; Xianzhi Wang; Guandong Xu (Soc. Netw. Anal. Min., 2020)

A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services - Zongda Wu; Ruiqin Wang; Qi Li; Xinze Lian; Guandong Xu; Enhong Chen; Xiyang Liu (IEEE Trans. Veh. Technol., 2020)

Generative temporal link prediction via self-tokenized sequence modeling - Yue Wang; Chenwei Zhang; Shen Wang; Philip S. Yu; Lu Bai; Lixin Cui; Guandong Xu (World Wide Web, 2020)

MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry - Md. Rafiqul Islam; Shaowu Liu; Imran Razzak; Muhammad Ashad Kabir; Xianzhi Wang; Peter Tilocca; Guandong Xu (7th International Conference on Behavioural and Social Computing, BESC 2020, Bournemouth, United Kingdom, November 5-7, 2020, 2020)

Electricity Price Forecasting using Convolution and LSTM Models - Dhruv Aditya Mittal; Shaowu Liu; Guandong Xu (7th International Conference on Behavioural and Social Computing, BESC 2020, Bournemouth, United Kingdom, November 5-7, 2020, 2020)

Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning - Yangyang Shu; Yulei Sui; Hongyu Zhang; Guandong Xu (ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Bari, Italy, October 5-7, 2020, 2020)

FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint - Yao Wu; Jian Cao; Guandong Xu (Service-Oriented Computing - 18th International Conference, ICSOC 2020, Dubai, United Arab Emirates, December 14-17, 2020, Proceedings, 2020)

Joint Relational Dependency Learning for Sequential Recommendation - Xiangmeng Wang; Qian Li; Wu Zhang; Guandong Xu; Shaowu Liu; Wenhao Zhu (Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I, 2020)

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter - Rhys Biddle; Aditya Joshi; Shaowu Liu; Cécile Paris; Guandong Xu (WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020)

TranS^3: A Transformer-based Framework for Unifying Code Summarization and Code Search - Wenhua Wang; Yuqun Zhang; Zhengran Zeng; Guandong Xu (CoRR, 2020)

Causality Learning: A New Perspective for Interpretable Machine Learning - Guandong Xu; Tri Dung Duong; Qian Li; Shaowu Liu; Xianzhi Wang (CoRR, 2020)

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia - Jianlong Zhou; Hamad Zogan; Shuiqiao Yang; Shoaib Jameel; Guandong Xu; Fang Chen (CoRR, 2020)

Depression Detection with Multi-Modalities Using a Hybrid Deep Learning Model on Social Media - Hamad Zogan; Xianzhi Wang; Shoaib Jameel; Guandong Xu (CoRR, 2020)

Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection - Jun Yin; Qian Li; Shaowu Liu; Zhiang Wu; Guandong Xu (CoRR, 2020)

FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint - Yao Wu; Jian Cao; Guandong Xu (CoRR, 2020)

NaturalCC: A Toolkit to Naturalize the Source Code Corpus - Yao Wan; Yang He; Jianguo Zhang; Yulei Sui; Hai Jin; Guandong Xu; Caiming Xiong; Philip S. Yu (CoRR, 2020)

Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach [Application Notes] - Zafar Saeed; Rabeeh Ayaz Abbasi; Muhammad Imran Razzak; Guandong Xu (IEEE Comput. Intell. Mag., 2019)

Deep learning for decision making and the optimization of socially responsible investments and portfolio - Nhi N. Y. Vo; Xuezhong He; Shaowu Liu; Guandong Xu (Decis. Support Syst., 2019)

Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks - Zafar Saeed; Rabeeh Ayaz Abbasi; Imran Razzak; Onaiza Maqbool; Abida Sadaf; Guandong Xu (Expert Syst. Appl., 2019)

What's Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter - Zafar Saeed; Rabeeh Ayaz Abbasi; Onaiza Maqbool; Abida Sadaf; Imran Razzak; Ali Daud; Naif Radi Aljohani; Guandong Xu (J. Grid Comput., 2019)

Constrained nonnegative matrix factorization-based semi-supervised multilabel learning - Dingguo Yu; Bin Fu; Guandong Xu; Aihong Qin (Int. J. Mach. Learn. Cybern., 2019)

BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data - Xiaofeng Cao; Baozhi Qiu; Guandong Xu (Pattern Anal. Appl., 2019)

Efficient Brain Tumor Segmentation With Multiscale Two-Pathway-Group Conventional Neural Networks - Muhammad Imran Razzak; Muhammad Imran; Guandong Xu (IEEE J. Biomed. Health Informatics, 2019)

Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data - Xiaofeng Cao; Baozhi Qiu; Xiangli Li; Zenglin Shi; Guandong Xu; Jianliang Xu (IEEE Trans. Neural Networks Learn. Syst., 2019)

SMS: A Framework for Service Discovery by Incorporating Social Media Information - Tingting Liang; Liang Chen; Jian Wu; Guandong Xu; Zhaohui Wu (IEEE Trans. Serv. Comput., 2019)

Time-aware metric embedding with asymmetric projection for successive POI recommendation - Haochao Ying; Jian Wu; Guandong Xu; Yanchi Liu; Tingting Liang; Xiao Zhang; Hui Xiong (World Wide Web, 2019)

A general framework for learning prosodic-enhanced representation of rap lyrics - Hongru Liang; Haozheng Wang; Qian Li; Jun Wang; Guandong Xu; Jiawei Chen; Jin-Mao Wei; Zhenglu Yang (World Wide Web, 2019)

On Completing Sparse Knowledge Base with Transitive Relation Embedding - Zili Zhou; Shaowu Liu; Guandong Xu; Wu Zhang (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Prediction and Analysis of Rumour's Impact on Social Media - Jun Yin; Shaowu Liu; Qian Li; Guandong Xu (6th International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2019, Beijing, China, October 28-30, 2019, 2019)

Electricity Price Forecast using Meteorology data: A study in Australian Energy Market - Ming Zhao; Yangyang Shu; Shaowu Liu; Guandong Xu (6th International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2019, Beijing, China, October 28-30, 2019, 2019)

Polynomial Representation for Persistence Diagram - Zhichao Wang; Qian Li; Gang Li; Guandong Xu (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

A Boundary-aware Neural Model for Nested Named Entity Recognition - Changmeng Zheng; Yi Cai; Jingyun Xu; Ho-fung Leung; Guandong Xu (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Multi-modal Attention Network Learning for Semantic Source Code Retrieval - Yao Wan; Jingdong Shu; Yulei Sui; Guandong Xu; Zhou Zhao; Jian Wu; Philip S. Yu (34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019, San Diego, CA, USA, November 11-15, 2019, 2019)

Emotion Recognition from Music Enhanced by Domain Knowledge - Yangyang Shu; Guandong Xu (PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26-30, 2019, Proceedings, Part I, 2019)

Event Detection in Twitter Stream using Weighted Dynamic Heartbeat Graph Approach - Zafar Saeed; Rabeeh Ayaz Abbasi; Muhammad Imran Razzak; Guandong Xu (CoRR, 2019)

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation - Peipei Wang; Lin Li; Yi Yu; Guandong Xu (CoRR, 2019)

Multi-Modal Attention Network Learning for Semantic Source Code Retrieval - Yao Wan; Jingdong Shu; Yulei Sui; Guandong Xu; Zhou Zhao; Jian Wu; Philip S. Yu (CoRR, 2019)

Generative Temporal Link Prediction via Self-tokenized Sequence Modeling - Yue Wang; Chenwei Zhang; Shen Wang; Philip S. Yu; Lu Bai; Lixin Cui; Guandong Xu (CoRR, 2019)

An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection - Hongzhi Zhang; Guandong Xu; Xiao Liang; Guangluan Xu; Feng Li; Kun Fu; Lei Wang; Tinglei Huang (IEEE Access, 2018)

An approach for the protection of users' book browsing preference privacy in a digital library - Zongda Wu; Chengren Zheng; Jian Xiejian; Zhifeng Zhou; Guandong Xu; Enhong Chen (Electron. Libr., 2018)

GIST: A generative model with individual and subgroup-based topics for group recommendation - Ke Ji; Zhenxiang Chen; Runyuan Sun; Kun Ma; Zhongjie Yuan; Guandong Xu (Expert Syst. Appl., 2018)

Exploiting cross-source knowledge for warming up community question answering services - Yao Wan; Guandong Xu; Liang Chen; Zhou Zhao; Jian Wu (Neurocomputing, 2018)

Sequence-based context-aware music recommendation - Dongjing Wang; Shuiguang Deng; Guandong Xu (Inf. Retr. J., 2018)

An Approach for Generation of SPARQL Query from SQL Algebra based Transformation Rules of RDB to Ontology - Mohamed A. G. Hazber; Bing Li; Guandong Xu; Mohammed A. S. Mosleh; Xiwu Gu; Yuhua Li (J. Softw., 2018)

Unsupervised Keyword Extraction from Microblog Posts via Hashtags - Lin Li; Jinghang Liu; Yueqing Sun; Guandong Xu; Jingling Yuan; Luo Zhong (J. Web Eng., 2018)

Fuzzy Cognitive Diagnosis for Modelling Examinee Performance - Qi Liu; Runze Wu; Enhong Chen; Guandong Xu; Yu Su; Zhigang Chen; Guoping Hu (ACM Trans. Intell. Syst. Technol., 2018)

Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation - Zongda Wu; Guiling Li; Qi Liu; Guandong Xu; Enhong Chen (IEEE Trans. Serv. Comput., 2018)

An effective approach for the protection of privacy text data in the CloudDB - Zongda Wu; Guandong Xu; Chenglang Lu; Enhong Chen; Fang Jiang; Guiling Li (World Wide Web, 2018)

Learning to embed music and metadata for context-aware music recommendation - Dongjing Wang; Shuiguang Deng; Xin Zhang; Guandong Xu (World Wide Web, 2018)

SCSMiner: mining social coding sites for software developer recommendation with relevance propagation - Yao Wan; Liang Chen; Guandong Xu; Zhou Zhao; Jie Tang; Jian Wu (World Wide Web, 2018)

An enhanced short text categorization model with deep abundant representation - Yanhui Gu; Min Gu; Yi Long; Guandong Xu; Zhenglu Yang; Junsheng Zhou; Weiguang Qu (World Wide Web, 2018)

Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach - Ben Culbert; Bin Fu; James Brownlow; Charles Chu; Qinxue Meng; Guandong Xu (Databases Theory and Applications - 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, May 24-27, 2018, Proceedings, 2018)

Automated Underwriting in Life Insurance: Predictions and Optimisation - Rhys Biddle; Shaowu Liu; Peter Tilocca; Guandong Xu (Databases Theory and Applications - 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, May 24-27, 2018, Proceedings, 2018)

Research Performance Reporting is Fallacious - Adam Butler; Guandong Xu; Katarzyna Musial (5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2018, Kaohsiung, Taiwan, November 12-14, 2018, 2018)

Taxpayer Behavior Prediction in SMS Campaigns - Guiming Cao; Alan Downes; Shuraia Khan; Wendy Wong; Guandong Xu (5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2018, Kaohsiung, Taiwan, November 12-14, 2018, 2018)

Semi-Supervised Soft K-Means Clustering of Life Insurance Questionnaire Responses - Rhys Biddle; Shaowu Liu; Guandong Xu (5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2018, Kaohsiung, Taiwan, November 12-14, 2018, 2018)

Client Churn Prediction with Call Log Analysis - Nhi N. Y. Vo; Shaowu Liu; James Brownlow; Charles Chu; Ben Culbert; Guandong Xu (Database Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part II, 2018)

Cost-Sensitive Churn Prediction in Fund Management Services - James Brownlow; Charles Chu; Bin Fu; Guandong Xu; Ben Culbert; Qinxue Meng (Database Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part II, 2018)

Sequential Recommender System based on Hierarchical Attention Networks - Haochao Ying; Fuzhen Zhuang; Fuzheng Zhang; Yanchi Liu; Guandong Xu; Xing Xie; Hui Xiong; Jian Wu (Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, 2018)

A Multiple Source based Transfer Learning Framework for Marketing Campaigns - James Brownlow; Charles Chu; Guandong Xu; Ben Culbert; Bin Fu; Qinxue Meng (2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018)

Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA - Muhammad Imran Razzak; Raghib M. Abu-Saris; Michael Blumenstein; Guandong Xu (2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018)

Workshop Proposal on Knowledge Discovery from Digital Libraries - Hui Shi; Wu He; Guandong Xu (Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, JCDL 2018, Fort Worth, TX, USA, June 03-07, 2018, 2018)

Improving automatic source code summarization via deep reinforcement learning - Yao Wan; Zhou Zhao; Min Yang; Guandong Xu; Haochao Ying; Jian Wu; Philip S. Yu (Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, ASE 2018, Montpellier, France, September 3-7, 2018, 2018)

Knowledge-Based Recommendation with Hierarchical Collaborative Embedding - Zili Zhou; Shaowu Liu; Guandong Xu; Xing Xie; Jun Yin; Yidong Li; Wu Zhang (Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II, 2018)

Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter - Zafar Saeed; Rabeeh Ayaz Abbasi; Abida Sadaf; Muhammad Imran Razzak; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II, 2018)

Social Spammer Detection: A Multi-Relational Embedding Approach - Jun Yin; Zili Zhou; Shaowu Liu; Zhiang Wu; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I, 2018)

Multimodal Mixture Density Boosting Network for Personality Mining - Nhi N. Y. Vo; Shaowu Liu; Xuezhong He; Guandong Xu (Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I, 2018)

An Effective Joint Framework for Document Summarization - Min Gui; Zhengkun Zhang; Zhenglu Yang; Yanhui Gu; Guandong Xu (Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, 2018)

Singular Value Decomposition - Yanchun Zhang; Guandong Xu (Encyclopedia of Database Systems, Second Edition, 2018)

Models for Community Dynamics - Guandong Xu; Zhiang Wu; Jie Cao; Haicheng Tao (Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018)

An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering - Hongzhi Zhang; Guandong Xu; Xiao Liang; Tinglei Huang; Kun Fu (CoRR, 2018)

Improving Automatic Source Code Summarization via Deep Reinforcement Learning - Yao Wan; Zhou Zhao; Min Yang; Guandong Xu; Haochao Ying; Jian Wu; Philip S. Yu (CoRR, 2018)

A topic modeling based approach to novel document automatic summarization - Zongda Wu; Li Lei; Guiling Li; Hui Huang; Chengren Zheng; Enhong Chen; Guandong Xu (Expert Syst. Appl., 2017)

An efficient Wikipedia semantic matching approach to text document classification - Zongda Wu; Hui Zhu; Guiling Li; Zongmin Cui; Hui Huang; Jun Li; Enhong Chen; Guandong Xu (Inf. Sci., 2017)

On Deep Learning for Trust-Aware Recommendations in Social Networks - ShuiGuang Deng; Longtao Huang; Guandong Xu; Xindong Wu; Zhaohui Wu (IEEE Trans. Neural Networks Learn. Syst., 2017)

Improving the Quality of Recommendations for Users and Items in the Tail of Distribution - Liang Hu; Longbing Cao; Jian Cao; Zhiping Gu; Guandong Xu; Jie Wang (ACM Trans. Inf. Syst., 2017)

Combining heterogeneous features for time series prediction - Charles Chu; James Brownlow; Qinxue Meng; Bin Fu; Ben Culbert; Min Zhu; Guandong Xu; Xuezhong He (2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017, 2017)

Towards simplified insurance application via sparse questionnaire optimization - Shaowu Liu; Guandong Xu; Xiao Zhu; Zili Zhou (2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017, 2017)

The volatility of Bitcoin returns and its correlation to financial markets - Nhi N. Y. Vo; Guandong Xu (2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017, 2017)

Latent factor analysis for low-dimensional implicit preference prediction - Zili Zhou; Guandong Xu; Xiao Zhu; Shaowu Liu (2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017, 2017)

Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition - Yueqing Sun; Lin Li; Zhongwei Xie; Qing Xie; Xin Li; Guandong Xu (Database Systems for Advanced Applications - 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II, 2017)

Diversifying Personalized Recommendation with User-session Context - Liang Hu; Longbing Cao; Shoujin Wang; Guandong Xu; Jian Cao; Zhiping Gu (Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, 2017)

Music recommendation via heterogeneous information graph embedding - Dongjing Wang; Guandong Xu; ShuiGuang Deng (2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017, 2017)

Structure embedding for knowledge base completion and analytics - Zili Zhou; Guandong Xu; Wenhao Zhu; Jinyan Li; Wu Zhang (2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017, 2017)

Collaborative Filtering via Different Preference Structures - Shaowu Liu; Na Pang; Guandong Xu; Huan Liu (Knowledge Science, Engineering and Management - 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings, 2017)

What comes first the Co-authorship Network or the Citation? - Adam Butler; Guandong Xu; Xuezhong He (Proceedings of the 4th Multidisciplinary International Social Networks Conference, MISNC '17, Bangkok, Thailand, July 17-19, 2017, 2017)

Exploiting Geographical Location for Team Formation in Social Coding Sites - Yuqiang Han; Yao Wan; Liang Chen; Guandong Xu; Jian Wu (Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I, 2017)

Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response - Runze Wu; Guandong Xu; Enhong Chen; Qi Liu; Wan Ng (Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, 2017)

An Enhanced Convolutional Neural Network Model for Answer Selection - Jiahui Guo; Bin Yue; Guandong Xu; Zhenglu Yang; Jin-Mao Wei (Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017, 2017)

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31 - August 03, 2017 - Jana Diesner; Elena Ferrari; Guandong Xu (ACM, 2017)

2017 International Conference on Behavioral, Economic, Socio-cultural Computing, BESC 2017, Krakow, Poland, October 16-18, 2017 - Yves Demazeau; Jianbo Gao; Guandong Xu; Jaroslaw Kozlak; Klaus Müller; Imran Razzak; Hao Chen; Yanhui Gu (IEEE, 2017)

Point-of-Interest Recommendations via a Supervised Random Walk Algorithm - Guandong Xu; Bin Fu; Yanhui Gu (IEEE Intell. Syst., 2016)

Protecting private geosocial networks against practical hybrid attacks with heterogeneous information - Yuechuan Li; Yidong Li; Guandong Xu (Neurocomputing, 2016)

Recommendation using DMF-based fine tuning method - Zhiyuan Zhang; Yun Liu; Guandong Xu; Gui Xun Luo (J. Intell. Inf. Syst., 2016)

A weighted adaptation method on learning user preference profile - Zhiyuan Zhang; Yun Liu; Guandong Xu; Haiqiang Chen (Knowl. Based Syst., 2016)

Two-level matrix factorization for recommender systems - Fangfang Li; Guandong Xu; Longbing Cao (Neural Comput. Appl., 2016)

Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information - Wu He; Guandong Xu (Online Inf. Rev., 2016)

Private Cell Retrieval From Data Warehouses - Xun Yi; Russell Paulet; Elisa Bertino; Guandong Xu (IEEE Trans. Inf. Forensics Secur., 2016)

Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains - Liang Hu; Longbing Cao; Jian Cao; Zhiping Gu; Guandong Xu; Dingyu Yang (ACM Trans. Inf. Syst., 2016)

Classifying sybil in MSNs using C4.5 - Anand Chinchore; Guandong Xu; Frank Jiang (2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016, 2016)

Deployment of churn prediction model in financial services industry - Charles Chu; Guandong Xu; James Brownlow; Bin Fu (2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016, 2016)

Coupled behavioral analysis for user preference-based email spamming - Frank Jiang; Jin Gan; Yuanyuan Xu; Guandong Xu (2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016, 2016)

Applying client churn prediction modeling on home-based care services industry - Raul Manongdo; Guandong Xu (2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016, 2016)

Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation - Yan Chen; Xin Li; Lin Li; Guiquan Liu; Guandong Xu (Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings, Part I, 2016)

Applying Visual Analytics on Traditional Data Mining Process: Quick Prototype, Simple Expertise Transformation, and Better Interpretation - Xiao Zhu; Guandong Xu (4th International Conference on Enterprise Systems, ES 2016, Melbourne, Australia, November 2-3, 2016, 2016)

An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases - Mohamed A. G. Hazber; Ruixuan Li; Guandong Xu; Khaled M. Alalayah (Social Computing - Second International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2016, Harbin, China, August 20-22, 2016, Proceedings, Part I, 2016)

CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation - Hao Guo; Xin Li; Ming He; Xiangyu Zhao; Guiquan Liu; Guandong Xu (Knowledge Science, Engineering and Management - 9th International Conference, KSEM 2016, Passau, Germany, October 5-7, 2016, Proceedings, 2016)

Learning Music Embedding with Metadata for Context Aware Recommendation - Dongjing Wang; ShuiGuang Deng; Xin Zhang; Guandong Xu (Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, ICMR 2016, New York, New York, USA, June 6-9, 2016, 2016)

GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach - Dongjing Wang; ShuiGuang Deng; Guandong Xu (Web Information Systems Engineering - WISE 2016 - 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I, 2016)

Predicting Replacement of Smartphones with Mobile App Usage - Dun Yang; Zhiang Wu; Xiaopeng Wang; Jie Cao; Guandong Xu (Web Information Systems Engineering - WISE 2016 - 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part I, 2016)

Improving Music Recommendation Using Distributed Representation - Dongjing Wang; ShuiGuang Deng; Songguo Liu; Guandong Xu (Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11-15, 2016, Companion Volume, 2016)

2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2016, Durham, NC, USA, November 11-13, 2016 - Gang Li; Yves Demazeau; Guandong Xu; Paul Wang; Leon S. L. Wang; Guanfeng Liu (IEEE, 2016)

Learning recency based comparative choice towards point-of-interest recommendation - Xin Li; Guandong Xu; Enhong Chen; Yu Zong (Expert Syst. Appl., 2015)

Exploring user emotion in microblogs for music recommendation - ShuiGuang Deng; Dongjing Wang; Xitong Li; Guandong Xu (Expert Syst. Appl., 2015)

Social networking meets recommender systems: survey - Guandong Xu; Zhiang Wu; Yanchun Zhang; Jie Cao (Int. J. Soc. Netw. Min., 2015)

Constructing plausible innocuous pseudo queries to protect user query intention - Zongda Wu; Jie Shi; Chenglang Lu; Enhong Chen; Guandong Xu; Guiling Li; Sihong Xie; Philip S. Yu (Inf. Sci., 2015)

KIPTC: a kernel information propagation tag clustering algorithm - Guandong Xu; Yu Zong; Ping Jin; Rong Pan; Zongda Wu (J. Intell. Inf. Syst., 2015)

Improving contextual advertising matching by using Wikipedia thesaurus knowledge - Guandong Xu; Zongda Wu; Guiling Li; Enhong Chen (Knowl. Inf. Syst., 2015)

Guest Editorial: Advanced Technologies and Services for Multimedia Big Data Processing - Young-Sik Jeong; Mei-Ling Shyu; Guandong Xu; Roland R. Wagner (Multim. Tools Appl., 2015)

An Approach for Mapping Relational Database into Ontology - Mohamed A. G. Hazber; Ruixuan Li; Yuxi Zhang; Guandong Xu (12th Web Information System and Application Conference, WISA 2015, Jinan, China, September 11-13, 2015, 2015)

Learning to rank domain experts in microblogging by combining text and non-text features - Lu Qi; Yanyi Huang; Lin Li; Guandong Xu (2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015, 2015)

An analysis of new visitors' website behaviour before & after TV advertising - Kyrylo Medvediev; Guandong Xu; Shlomo Berkovsky; Yury Onikienko (2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015, 2015)

Cloud-Based OLAP over Big Data: Application Scenarios and Performance Analysis - Alfredo Cuzzocrea; Rim Moussa; Guandong Xu; Giorgio Mario Grasso (15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2015, Shenzhen, China, May 4-7, 2015, 2015)

MARS: A multi-aspect Recommender system for Point-of-Interest - Xin Li; Guandong Xu; Enhong Chen; Lin Li (31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015, 2015)

Learning User Preferences across Multiple Aspects for Merchant Recommendation - Xin Li; Guandong Xu; Enhong Chen; Lin Li (2015 IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, NJ, USA, November 14-17, 2015, 2015)

OLAP-enabled web search of complex objects - Alfredo Cuzzocrea; Guandong Xu; Giorgio Mario Grasso (Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, iiWAS 2015, Brussels, Belgium, December 11-13, 2015, 2015)

Intelligent Sybil Attack Detection on Abnormal Connectivity Behavior in Mobile Social Networks - Anand Chinchore; Frank Jiang; Guandong Xu (Knowledge Management in Organizations - 10th International Conference, KMO 2015, Maribor, Slovenia, August 24-28, 2015, Proceedings, 2015)

Hashtag Biased Ranking for Keyword Extraction from Microblog Posts - Lin Li; Chang Su; Yueqing Sun; Shengwu Xiong; Guandong Xu (Knowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Chongqing, China, October 28-30, 2015, Proceedings, 2015)

Coupled Matrix Factorization Within Non-IID Context - Fangfang Li; Guandong Xu; Longbing Cao (Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, 2015)

Coupling Multiple Views of Relations for Recommendation - Bin Fu; Guandong Xu; Longbing Cao; Zhihai Wang; Zhiang Wu (Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, 2015)

Semantic SPARQL Query in a Relational Database Based on Ontology Construction - Mohamed A. G. Hazber; Ruixuan Li; Xiwu Gu; Guandong Xu; Yuhua Li (11th International Conference on Semantics, Knowledge and Grids, SKG 2015, Beijing, China, August 19-21, 2015, 2015)

2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015 - Guandong Xu; Yves Demazeau; Shu-Heng Chen; Junjie Wu; Michael Gavin; Irwin King; Jie Cao; Zhiang Wu; Zhan Bu (IEEE, 2015)

CSAL: Self-adaptive Labeling based Clustering Integrating Supervised Learning on Unlabeled Data - Fangfang Li; Guandong Xu; Longbing Cao (CoRR, 2015)

Coupling Analysis Between Twitter and Call Centre - Fangfang Li; Yanchang Zhao; Klaus Felsche; Guandong Xu; Longbing Cao (CoRR, 2015)

Special Issue on Social Computing and its Applications - Guandong Xu; Aoying Zhou; Nitin Agarwal (Comput. J., 2014)

Social network-based service recommendation with trust enhancement - ShuiGuang Deng; Longtao Huang; Guandong Xu (Expert Syst. Appl., 2014)

Behavior Informatics: A New Perspective - Longbing Cao; Thorsten Joachims; Can Wang; Éric Gaussier; Jinjiu Li; Yuming Ou; Dan Luo; Reza Zafarani; Huan Liu; Guandong Xu; Zhiang Wu; Gabriella Pasi; et al. (IEEE Intell. Syst., 2014)

Online IS Education for the 21st Century - Wu He; Guandong Xu; S. E. Kruck (J. Inf. Syst. Educ., 2014)

Social cyber systems - Challenges, opportunities, and beyond - Nitin Agarwal; Aoying Zhou; Guandong Xu (J. Syst. Softw., 2014)

Expanding user's query with tag-neighbors for effective medical information retrieval - Frederico Araújo Durão; Karunakar Bayyapu; Guandong Xu; Peter Dolog; Ricardo Lage (Multim. Tools Appl., 2014)

Multi-label learning based on iterative label propagation over graph - Bin Fu; Zhihai Wang; Guandong Xu; Longbing Cao (Pattern Recognit. Lett., 2014)

Exploration on efficient similar sentences extraction - Yanhui Gu; Zhenglu Yang; Guandong Xu; Miyuki Nakano; Masashi Toyoda; Masaru Kitsuregawa (World Wide Web, 2014)

Deep Modeling of Group Preferences for Group-Based Recommendation - Liang Hu; Jian Cao; Guandong Xu; Longbing Cao; Zhiping Gu; Wei Cao (Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada, 2014)

Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach - Nian Liu; Lin Li; Guandong Xu; Zhenglu Yang (Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada, 2014)

A backbone extraction method with Local Search for complex weighted networks - Zhan Bu; Zhiang Wu; Liqiang Qian; Jie Cao; Guandong Xu (2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014, 2014)

The Application of Cartesian-Join of Bloom Filters to Supporting Membership Query of Multidimensional Data - Zhu Wang; Tiejian Luo; Guandong Xu; Xiang Wang (2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27 - July 2, 2014, 2014)

A confidence-based entity resolution approach with incomplete information - Qi Gu; Yan Zhang; Jian Cao; Guandong Xu; Alfredo Cuzzocrea (International Conference on Data Science and Advanced Analytics, DSAA 2014, Shanghai, China, October 30 - November 1, 2014, 2014)

Towards a Framework for Supporting Web Search of Complex Objects via Multidimensional Paradigms - Alfredo Cuzzocrea; Guandong Xu (2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30 - July 3, 2014, 2014)

Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval - Liang Wu; Liang Du; Bo Liu; Guandong Xu; Yong Ge; Yanjie Fu; Jianhui Li; Yuanchun Zhou; Hui Xiong (2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014, 2014)

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages - Liang Hu; Wei Cao; Jian Cao; Guandong Xu; Longbing Cao; Zhiping Gu (2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014, 2014)

Mining user tasks from print logs - Xin Li; Lei Zhang; Ping Luo; Enhong Chen; Guandong Xu; Yu Zong; Chu Guan (2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, July 6-11, 2014, 2014)

A Novel Heuristic Scheme for Modeling and Managing Time Bound Constraints in Data-Intensive Grid and Cloud Infrastructures - Alfredo Cuzzocrea; Guandong Xu (On the Move to Meaningful Internet Systems: OTM 2014 Workshops - Confederated International Workshops: OTM Academy, OTM Industry Case Studies Program, C&TC, EI2N, INBAST, ISDE, META4eS, MSC and OnToContent 2014, Amantea, Italy, October 27-31, 2014. Proceedings, 2014)

Coupled Item-Based Matrix Factorization - Fangfang Li; Guandong Xu; Longbing Cao (Web Information Systems Engineering - WISE 2014 - 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I, 2014)

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014 - Xindong Wu; Martin Ester; Guandong Xu (IEEE Computer Society, 2014)

Models for Community Dynamics - Guandong Xu; Zhiang Wu; Jie Cao; Haicheng Tao (Encyclopedia of Social Network Analysis and Mining, 2014)

CMF: Coupled Matrix Factorization for Recommender Systems - Fangfang Li; Guandong Xu; Longbing Cao; Xiaozhong Fan; Zhendong Niu (CoRR, 2014)

Coupled Item-based Matrix Factorization - Fangfang Li; Guandong Xu; Longbing Cao (CoRR, 2014)

Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval - Liang Wu; Hui Xiong; Liang Du; Bo Liu; Guandong Xu; Yong Ge; Yanjie Fu; Yuanchun Zhou; Jianhui Li (CoRR, 2014)

Position-wise contextual advertising: Placing relevant ads at appropriate positions of a web page - Zongda Wu; Guandong Xu; Chenglang Lu; Enhong Chen; Yanchun Zhang; Hong Zhang (Neurocomputing, 2013)

An efficient approach to suggesting topically related web queries using hidden topic model - Lin Li; Guandong Xu; Zhenglu Yang; Peter Dolog; Yanchun Zhang; Masaru Kitsuregawa (World Wide Web, 2013)

Guest editorial: social networks and social Web mining - Guandong Xu; Jeffrey Xu Yu; Wookey Lee (World Wide Web, 2013)

Mining Frequent Patterns in Print Logs with Semantically Alternative Labels - Xin Li; Lei Zhang; Enhong Chen; Yu Zong; Guandong Xu (Advanced Data Mining and Applications - 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II, 2013)

A Spectral Clustering Algorithm Based on Hierarchical Method - Xiwei Chen; Li Liu; Dashi Luo; Guandong Xu; Yonggang Lu; Ming Liu; Rongmin Gao (Agents and Data Mining Interaction - 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers, 2013)

Leveraging Visual Features and Hierarchical Dependencies for Conference Information Extraction - Yue You; Guandong Xu; Jian Cao; Yanchun Zhang; Guangyan Huang (Web Technologies and Applications - 15th Asia-Pacific Web Conference, APWeb 2013, Sydney, Australia, April 4-6, 2013. Proceedings, 2013)

Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers - Liang Wu; Alvin Chin; Guandong Xu; Liang Du; Xia Wang; Kangjian Meng; Yonggang Guo; Yuanchun Zhou (Database Systems for Advanced Applications, 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013. Proceedings, Part II, 2013)

Leveraging Supervised Label Dependency Propagation for Multi-label Learning - Bin Fu; Guandong Xu; Zhihai Wang; Longbing Cao (2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, 2013)

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis - Liang Hu; Jian Cao; Guandong Xu; Jie Wang; Zhiping Gu; Longbing Cao (IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013, 2013)

OLAP*: Effectively and Efficiently Supporting Parallel OLAP over Big Data - Alfredo Cuzzocrea; Rim Moussa; Guandong Xu (Model and Data Engineering - Third International Conference, MEDI 2013, Amantea, Italy, September 25-27, 2013. Proceedings, 2013)

Suggestions for Fresh Search Queries by Mining Mircoblog Topics - Lin Li; Xing Chen; Guandong Xu (Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers, 2013)

Private data warehouse queries - Xun Yi; Russell Paulet; Elisa Bertino; Guandong Xu (18th ACM Symposium on Access Control Models and Technologies, SACMAT '13, Amsterdam, The Netherlands, June 12-14, 2013, 2013)

A New Indexing Technique for Supporting By-attribute Membership Query of Multidimensional Data - Zhu Wang; Tiejian Luo; Guandong Xu; Xiang Wang (Web-Age Information Management - WAIM 2013 International Workshops: HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Beidaihe, China, June 14-16, 2013. Proceedings, 2013)

Community Detection in Multi-relational Social Networks - Zhiang Wu; Wenpeng Yin; Jie Cao; Guandong Xu; Alfredo Cuzzocrea (Web Information Systems Engineering - WISE 2013 - 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part II, 2013)

CGMF: Coupled Group-Based Matrix Factorization for Recommender System - Fangfang Li; Guandong Xu; Longbing Cao; Xiaozhong Fan; Zhendong Niu (Web Information Systems Engineering - WISE 2013 - 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part I, 2013)

Personalized recommendation via cross-domain triadic factorization - Liang Hu; Jian Cao; Guandong Xu; Longbing Cao; Zhiping Gu; Can Zhu (22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, 2013)

Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I - Jian Pei; Vincent S. Tseng; Longbing Cao; Hiroshi Motoda; Guandong Xu (Springer, 2013)

Advances in Knowledge Discovery and Data Mining, 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II - Jian Pei; Vincent S. Tseng; Longbing Cao; Hiroshi Motoda; Guandong Xu (Springer, 2013)

Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers - Longbing Cao; Hiroshi Motoda; Jaideep Srivastava; Ee-Peng Lim; Irwin King; Philip S. Yu; Wolfgang Nejdl; Guandong Xu; Gang Li; Ya Zhang (Springer, 2013)

Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors - Frederico Araújo Durão; Karunakar Bayyapu; Guandong Xu; Peter Dolog; Ricardo Lage (Handbook of Medical and Healthcare Technologies, 2013)

An Improved Contextual Advertising Matching Approach based on Wikipedia Knowledge - Zongda Wu; Guandong Xu; Yanchun Zhang; Peter Dolog; Chenglang Lu (Comput. J., 2012)

A feature-free search query classification approach using semantic distance - Lin Li; Luo Zhong; Guandong Xu; Masaru Kitsuregawa (Expert Syst. Appl., 2012)

GMQL: A graphical multimedia query language - Zongda Wu; Guandong Xu; Yanchun Zhang; Zhongsheng Cao; Guiling Li; Zhiwen Hu (Knowl. Based Syst., 2012)

Executing SQL queries over encrypted character strings in the Database-As-Service model - Zongda Wu; Guandong Xu; Yu Zong; Xun Yi; Enhong Chen; Yanchun Zhang (Knowl. Based Syst., 2012)

Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches - Xing Chen; Lin Li; Guandong Xu; Zhenglu Yang; Masaru Kitsuregawa (Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, July 22-26, 2012, Toronto, Ontario, Canada, 2012)

A MapReduce-Based Parallel Clustering Algorithm for Large Protein-Protein Interaction Networks - Li Liu; Dangping Fan; Ming Liu; Guandong Xu; Shiping Chen; Yuan Zhou; Xiwei Chen; Qianru Wang; Yufeng Wei (Advanced Data Mining and Applications, 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings, 2012)

KNN-Based Clustering for Improving Social Recommender Systems - Rong Pan; Peter Dolog; Guandong Xu (Agents and Data Mining Interaction - 8th International Workshop, ADMI 2012, Valencia, Spain, June 4-5, 2012, Revised Selected Papers, 2012)

Academic Recommendation on Graph with Dynamic Transfer Chain - Jia Zhou; Tiejian Luo; Guandong Xu (2012 Second International Conference on Cloud and Green Computing, CGC 2012, Xiangtan, Hunan, China, November 1-3, 2012, 2012)

Group Division for Recommendation in Tag-Based Systems - Rong Pan; Guandong Xu; Peter Dolog; Yu Zong (2012 Second International Conference on Cloud and Green Computing, CGC 2012, Xiangtan, Hunan, China, November 1-3, 2012, 2012)

Book Recommendation Based on Joint Multi-relational Model - Qiuzi Shangguan; Liang Hu; Jian Cao; Guandong Xu (2012 Second International Conference on Cloud and Green Computing, CGC 2012, Xiangtan, Hunan, China, November 1-3, 2012, 2012)

On Smart and Accurate Contextual Advertising - Guandong Xu; Zongda Wu (Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, International Workshops: FlashDB, ITEMS, SNSM, SIM3, DQDI, Busan, South Korea, April 15-19, 2012. Proceedings, 2012)

Finding Related Micro-blogs Based on WordNet - Lin Li; Huifan Xiao; Guandong Xu (Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, International Workshops: FlashDB, ITEMS, SNSM, SIM3, DQDI, Busan, South Korea, April 15-19, 2012. Proceedings, 2012)

A projective clustering algorithm based on significant local dense areas - Yu Zong; Guandong Xu; Ping Jin; Xun Yi; Enhong Chen; Zongda Wu (The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012, 2012)

Latent Informative Links Detection - Liang Hu; Jian Cao; Guandong Xu; Zhiping Gu (Advances in Knowledge-Based and Intelligent Information and Engineering Systems - 16th Annual KES Conference, San Sebastian, Spain, 10-12 September 2012, 2012)

An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity - Bin Fu; Zhihai Wang; Rong Pan; Guandong Xu; Peter Dolog (7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, KMO 2012, Salamanca, Spain, 11-13 July, 2012, 2012)

Learning Tree Structure of Label Dependency for Multi-label Learning - Bin Fu; Zhihai Wang; Rong Pan; Guandong Xu; Peter Dolog (Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Kuala Lumpur, Malaysia, May 29-June 1, 2012, Proceedings, Part I, 2012)

Preemptive Hadoop Jobs Scheduling under a Deadline - Li Liu; Yuan Zhou; Ming Liu; Guandong Xu; Xiwei Chen; Dangping Fan; Qianru Wang (Eighth International Conference on Semantics, Knowledge and Grids, SKG 2012, Beijing, China, October 22-24, 2012, 2012)

Web Technologies and Applications - 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings - Quan Z. Sheng; Guoren Wang; Christian S. Jensen; Guandong Xu (Springer, 2012)

2012 Second International Conference on Cloud and Green Computing, CGC 2012, Xiangtan, Hunan, China, November 1-3, 2012 - Jianxun Liu; Jinjun Chen; Guandong Xu (IEEE Computer Society, 2012)

Health Information Science - First International Conference, HIS 2012, Beijing, China, April 8-10, 2012. Proceedings - Jing He; Xiaohui Liu; Elizabeth A. Krupinski; Guandong Xu (Springer, 2012)

HC_AB: A new heuristic clustering algorithm based on Approximate Backbone - Yu Zong; Guandong Xu; Ping Jin; Yanchun Zhang; Enhong Chen (Inf. Process. Lett., 2011)

Random walk based rank aggregation to improving web search - Lin Li; Guandong Xu; Yanchun Zhang; Masaru Kitsuregawa (Knowl. Based Syst., 2011)

Modeling user hidden navigational behavior for Web recommendation - Guandong Xu; Lin Li; Yanchun Zhang; Xun Yi; Masaru Kitsuregawa (Web Intell. Agent Syst., 2011)

SemRec: A Semantic Enhancement Framework for Tag Based Recommendation - Guandong Xu; Yanhui Gu; Peter Dolog; Yanchun Zhang; Masaru Kitsuregawa (Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011, 2011)

APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags - Yu Zong; Guandong Xu; Ping Jin; Yanchun Zhang; Enhong Chen; Rong Pan (Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I, 2011)

Leveraging Wikipedia concept and category information to enhance contextual advertising - Zongda Wu; Guandong Xu; Rong Pan; Yanchun Zhang; Zhiwen Hu; Jianfeng Lu (Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, 2011)

Incorporating Sentiment Analysis for Improved Tag-Based Recommendation - Qingbiao Zhou; Jie Fang; Guandong Xu (IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing, DASC 2011, 12-14 December 2011, Sydney, Australia, 2011)

A Local Information Passing Clustering Algorithm for Tagging Systems - Yu Zong; Guandong Xu; Ping Jin; Peter Dolog; Shan Jiang (Database Systems for Adanced Applications - 16th International Conference, DASFAA 2011, International Workshops: GDB, SIM3, FlashDB, SNSMW, DaMEN, DQIS, Hong Kong, China, April 22-25, 2011. Proceedings, 2011)

On Kernel Information Propagation for Tag Clustering in Social Annotation Systems - Guandong Xu; Yu Zong; Rong Pan; Peter Dolog; Ping Jin (Knowlege-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Kaiserslautern, Germany, September 12-14, 2011, Proceedings, Part II, 2011)

A Feature-Free Flexible Approach to Topical Classification of Web Queries - Lin Li; Guandong Xu; Zhenglu Yang; Yanchun Zhang; Masaru Kitsuregawa (Seventh International Conference on Semantics Knowledge and Grid (SKG 2011), Beijing, China, October 24-26, 2011, 2011)

TOAST: A Topic-Oriented Tag-Based Recommender System - Guandong Xu; Yanhui Gu; Yanchun Zhang; Zhenglu Yang; Masaru Kitsuregawa (Web Information System Engineering - WISE 2011 - 12th International Conference, Sydney, Australia, October 13-14, 2011. Proceedings, 2011)

A robust iterative refinement clustering algorithm with smoothing search space - Yu Zong; Guandong Xu; Yanchun Zhang; He Jiang; Mingchu Li (Knowl. Based Syst., 2010)

A framework of data integration, knowledge management and user behaviour modelling in healthcare applications of diabetes - Yanchun Zhang; Guandong Xu; Liping Wang; Kerry Bennett (Database Technologies 2010, Twenty-First Australasian Database Conference (ADC 2010), Brisbane, Australia, 18-22 January, 2010, Proceedings, 2010)

SNSMW 2010 Workshop Organizers' Message - Yoshinori Hijikata; Guandong Xu (Database Systems for Advanced Applications, 15th International Conference, DASFAA 2010, International Workshops: GDM, BenchmarX, MCIS, SNSMW, DIEW, UDM, Tsukuba, Japan, April 1-4, 2010, Revised Selected Papers, 2010)

Co-clustering Analysis of Weblogs Using Bipartite Spectral Projection Approach - Guandong Xu; Yu Zong; Peter Dolog; Yanchun Zhang (Knowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Cardiff, UK, September 8-10, 2010, Proceedings, Part III, 2010)

A User Group Clustering Approach in Tagging Systems - Rong Pan; Guandong Xu; Peter Dolog (LWA 2010 - Lernen, Wissen & Adaptivität, Workshop Proceedings, Kassel, 4.-6. Oktober 2010, 2010)

Co-clustering for Weblogs in Semantic Space - Yu Zong; Guandong Xu; Peter Dolog; Yanchun Zhang; Renjin Liu (Web Information Systems Engineering - WISE 2010 - 11th International Conference, Hong Kong, China, December 12-14, 2010. Proceedings, 2010)

On web communities mining and recommendation - Yanchun Zhang; Guandong Xu (Concurr. Comput. Pract. Exp., 2009)

Toward breast cancer survivability prediction models through improving training space - Jaree Thongkam; Guandong Xu; Yanchun Zhang; Fuchun Huang (Expert Syst. Appl., 2009)

Web Co-clustering of Usage Network Using Tensor Decomposition - Qingbiao Zhou; Guandong Xu; Yu Zong (Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, Milan, Italy, 15-18 September 2009, 2009)

Enhancing Web Search by Aggregating Results of Related Web Queries - Lin Li; Guandong Xu; Yanchun Zhang; Masaru Kitsuregawa (Web Information Systems Engineering - WISE 2009, 10th International Conference, Poznan, Poland, October 5-7, 2009. Proceedings, 2009)

Singular Value Decomposition - Yanchun Zhang; Guandong Xu (Encyclopedia of Database Systems, 2009)

Support Vector Machine for Outlier Detection in Breast Cancer Survivability Prediction - Jaree Thongkam; Guandong Xu; Yanchun Zhang; Fuchun Huang (Advanced Web and NetworkTechnologies, and Applications, APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers, 2008)

Modelling User Behaviour for Web Recommendation Using LDA Model - Guandong Xu; Yanchun Zhang; Xun Yi (Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology - Workshops, 9-12 December 2008, Sydney, NSW, Australia, 2008)

AdaBoost algorithm with random forests for predicting breast cancer survivability - Jaree Thongkam; Guandong Xu; Yanchun Zhang (Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008, 2008)

Using Web Clustering for Web Communities Mining and Analysis - Yanchun Zhang; Guandong Xu (2008 IEEE / WIC / ACM International Conference on Web Intelligence, WI 2008, 9-12 December 2008, Sydney, NSW, Australia, Main Conference Proceedings, 2008)

Progress in WWW Research and Development, 10th Asia-Pacific Web Conference, APWeb 2008, Shenyang, China, April 26-28, 2008. Proceedings - Yanchun Zhang; Ge Yu; Elisa Bertino; Guandong Xu (Springer, 2008)

Advanced Web and NetworkTechnologies, and Applications, APWeb 2008 International Workshops: BIDM, IWHDM, and DeWeb Shenyang, China, April 26-28, 2008. Revised Selected Papers - Yoshiharu Ishikawa; Jing He; Guandong Xu; Yong Shi; Guangyan Huang; Chaoyi Pang; Qing Zhang; Guoren Wang (Springer, 2008)

On Web Communities Mining and Analysis - Yanchun Zhang; Guandong Xu (Third International Conference on Semantics, Knowledge and Grid, Xian, Shan Xi, China, October 29-31, 2007, 2007)

Tumor tissue identification based on gene expression data using DWT feature extraction and PNN classifier - Guangmin Sun; Xiaoying Dong; Guandong Xu (Neurocomputing, 2006)

Discovering task-oriented usage pattern for web recommendation - Guandong Xu; Yanchun Zhang; Xiaofang Zhou (Database Technologies 2006, Proceedings of the 17th Australasian Database Conference, ADC 2006, Hobart, Tasmania, Australia, January 16-19 2006, 2006)

Mining Gait Pattern for Clinical Locomotion Diagnosis Based on Clustering Techniques - Guandong Xu; Yanchun Zhang; Rezaul K. Begg (Advanced Data Mining and Applications, Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings, 2006)

Discovering User Access Pattern Based on Probabilistic Latent Factor Model - Guandong Xu; Yanchun Zhang; Jiangang Ma; Xiaofang Zhou (Database Technologies 2005, Proceedings of the Sixteenth Australasian Database Conference, ADC 2005, Newcastle, Australia, January 31st - February 3rd 2005, 2005)

A Latent Usage Approach for Clustering Web Transaction and Building User Profile - Yanchun Zhang; Guandong Xu; Xiaofang Zhou (Advanced Data Mining and Applications, First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings, 2005)

Towards User Profiling for Web Recommendation - Guandong Xu; Yanchun Zhang; Xiaofang Zhou (AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005, Proceedings, 2005)

A DNA Based Evolutionary Algorithm for the Minimal Set Cover Problem - Wenbin Liu; Xiangou Zhu; Guandong Xu; Qiang Zhang; Lin Gao (Advances in Intelligent Computing, International Conference on Intelligent Computing, ICIC 2005, Hefei, China, August 23-26, 2005, Proceedings, Part II, 2005)

Using Probabilistic Latent Semantic Analysis for Web Page Grouping - Guandong Xu; Yanchun Zhang; Xiaofang Zhou (15th International Workshop on Research Issues in Data Engineering (RIDE-SDMA 2005), Stream Data Mining and Applications, 3-7 April 2005, Tokyo, Japan, 2005)

A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis - Guandong Xu; Yanchun Zhang; Xiaofang Zhou (Web Information Systems Engineering - WISE 2005, 6th International Conference on Web Information Systems Engineering, New York, NY, USA, November 20-22, 2005, Proceedings, 2005)

DWT based feature extraction of gene expression data for tissue classification - Xiaoying Dong; Guangmin Sun; Guandong Xu (Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, NCI 2004, February 23-25, 2004, Grindelwald, Switzerland, 2004)