A novel high step-up, low switching voltage stress DC-DC converter using leakage inductance for resonant boosting - Yin Chen; Haibin Li; Huaming Chen; Tao Jin (Int. J. Circuit Theory Appl., 2025)

FairCompass: Operationalizing Fairness in Machine Learning - Jessica Liu; Huaming Chen; Jun Shen; Kim-Kwang Raymond Choo (IEEE Trans. Artif. Intell., 2025)

Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution - Zhiyu Zhu; Zhibo Jin; Xinyi Wang; Jiayu Zhang; Huaming Chen; Kim-Kwang Raymond Choo (IEEE Trans. Artif. Intell., 2025)

On Security Weaknesses and Vulnerabilities in Deep Learning Systems - Zhongzheng Lai; Huaming Chen; Ruoxi Sun; Yu Zhang; Minhui Xue; Dong Yuan (IEEE Trans. Dependable Secur. Comput., 2025)

Look Before You Leap: An Exploratory Study of Uncertainty Analysis for Large Language Models - Yuheng Huang; Jiayang Song; Zhijie Wang; Shengming Zhao; Huaming Chen; Felix Juefei-Xu; Lei Ma (IEEE Trans. Software Eng., 2025)

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling - Haoran Li; Xingjian Li; Jiahua Shi; Huaming Chen; Bo Du; Daisuke Kihara; Johan Barthelemy; Jun Shen; Min Xu (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

CrossFL: A Cross-Round Federated Learning Framework with Asynchronous Client Selection - Zikang Wen; Nan Yang; Yuning Zhang; Yanli Li; Zihao Yao; Huaming Chen; Dong Yuan (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 II, 2025)

SplineFormer: Improving Time Series Forecasting with Kolmogorov-Arnold Networks and Enhanced ProbSparse Self-Attention - Qingwen Zeng; Nan Yang; Jushang Qiu; Junbin Gao; Huaming Chen (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)

Improving Adversarial Transferability via Decision Boundary Adaptation - Jiayu Zhang; Zhiyu Zhu; Zhibo Jin; Xinyi Wang; Huaming Chen; Kim-Kwang Raymond Choo (Conference on Uncertainty in Artificial Intelligence, Rio Othon Palace, Rio de Janeiro, Brazil, 21-25 July 2025, 2025)

Construction of Domain-Specific Knowledge Graph for Advanced Persistent Threat Behaviour Analysis and Detection - Yitian Yang; Huaming Chen (Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025, 2025)

Towards Advancing Code Generation with Large Language Models: A Research Roadmap - Haolin Jin; Huaming Chen; Qinghua Lu; Liming Zhu (CoRR, 2025)

Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future - Qingwen Zeng; Hanlin Xu; Nanjun Xu; Flora D. Salim; Junbin Gao; Huaming Chen (CoRR, 2025)

'Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs - Chun Wai Chiu; Linghan Huang; Bo Li; Huaming Chen (CoRR, 2025)

PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN - Jiayu Zhang; Zhiyu Zhu; Xinyi Wang; Silin Liao; Zhibo Jin; Flora D. Salim; Huaming Chen (CoRR, 2025)

The Tower of Babel Revisited: Multilingual Jailbreak Prompts on Closed-Source Large Language Models - Linghan Huang; Haolin Jin; Zhaoge Bi; Pengyue Yang; Peizhou Zhao; Taozhao Chen; Xiongfei Wu; Lei Ma; Huaming Chen (CoRR, 2025)

FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration - Huan Wang; Haoran Li; Huaming Chen; Jun Yan; Lijuan Wang; Jiahua Shi; Shiping Chen; Jun Shen (CoRR, 2025)

NSW-EPNews: A News-Augmented Benchmark for Electricity Price Forecasting with LLMs - Zhaoge Bi; Linghan Huang; Haolin Jin; Qingwen Zeng; Huaming Chen (CoRR, 2025)

FedSC: Federated Learning with Semantic-Aware Collaboration - Huan Wang; Haoran Li; Huaming Chen; Jun Yan; Jiahua Shi; Jun Shen (CoRR, 2025)

FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning - Huan Wang; Haoran Li; Huaming Chen; Jun Yan; Jiahua Shi; Jun Shen (CoRR, 2025)

GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction - Guoqiang Zhou; Yuke Qin; Qiansen Hong; Haoran Li; Huaming Chen; Jun Shen (Briefings Bioinform., 2024)

Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges - Huaming Chen; Muhammad Ali Babar (ACM Comput. Surv., 2024)

Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning - Yanli Li; Weiping Ding; Huaming Chen; Wei Bao; Dong Yuan (Inf. Sci., 2024)

Global disentangled graph convolutional neural network based on a graph topological metric - Wenzhen Liu; Guoqiang Zhou; Xiaoyu Mao; Shudi Bao; Haoran Li; Jiahua Shi; Huaming Chen; Jun Shen; Yuanming Huang (Knowl. Based Syst., 2024)

MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks - Zhiyu Zhu; Huaming Chen; Jiayu Zhang; Xinyi Wang; Zhibo Jin; Minhui Xue; Dongxiao Zhu; Kim-Kwang Raymond Choo (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)

Improving Carbon Price Prediction by Decomposing Single Influencing Factor with XGBoost - Hanlin Xu; Qingwen Zeng; Huaming Chen (Twelfth International Conference on Advanced Cloud and Big Data, CBD 2024, Brisbane, Australia, November 28 - Dec. 2, 2024, 2024)

Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack - Xinyi Wang; Zhibo Jin; Zhiyu Zhu; Jiayu Zhang; Huaming Chen (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

Trustworthy and Responsible AI for Information and Knowledge Management System - Huaming Chen; Jun Zhuang; Yu Yao; Wei Jin; Haohan Wang; Yong Xie; Chi-Hung Chi; Kim-Kwang Raymond Choo (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

Holistic Evaluation Metrics for Federated Learning - Jehad Ibrahim; Yanli Li; Huaming Chen; Dong Yuan (27th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2024, Tianjin, China, May 8-10, 2024, 2024)

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance - Haolin Jin; Zechao Sun; Huaming Chen (IEEE International Conference on Agents, ICA 2024, Wollongong, Australia, December 4-6, 2024, 2024)

CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence - Zao Zhang; Huaming Chen; Pei Ning; Nan Yang; Dong Yuan (IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, United Arab Emirates, December 9-12, 2024, 2024)

Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation - Zhiyu Zhu; Xinyi Wang; Zhibo Jin; Jiayu Zhang; Huaming Chen (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

AttEXplore: Attribution for Explanation with model parameters eXploration - Zhiyu Zhu; Huaming Chen; Jiayu Zhang; Xinyi Wang; Zhibo Jin; Jason Xue; Flora D. Salim (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Iterative Search Attribution for Deep Neural Networks - Zhiyu Zhu; Huaming Chen; Xinyi Wang; Jiayu Zhang; Zhibo Jin; Jason Xue; Jun Shen (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

FDNet: Frequency Domain Denoising Network For Cell Segmentation In Astrocytes Derived From Induced Pluripotent Stem Cells - Haoran Li; Jiahua Shi; Huaming Chen; Bo Du; Simon Maksour; Gabrielle Phillips; Mirella Dottori; Jun Shen (IEEE International Symposium on Biomedical Imaging, ISBI 2024, Athens, Greece, May 27-30, 2024, 2024)

Enhancing Model Interpretability with Local Attribution over Global Exploration - Zhiyu Zhu; Zhibo Jin; Jiayu Zhang; Huaming Chen (Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024, 2024)

Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks - Zhibo Jin; Jiayu Zhang; Zhiyu Zhu; Xinyi Wang; Yiyun Huang; Huaming Chen (PRICAI 2024: Trends in Artificial Intelligence - 21st Pacific Rim International Conference on Artificial Intelligence, PRICAI 2024, Kyoto, Japan, November 18-24, 2024, Proceedings, Part I, 2024)

Code Ownership in Open-Source AI Software Security - Jiawen Wen; Dong Yuan; Lei Ma; Huaming Chen (Proceedings of the 2nd International Workshop on Responsible AI Engineering, RAIE 2024, Lisbon, Portugal, 16 April 2024, 2024)

SBFT Tool Competition 2024 - Fuzzing Track - Philipp Görz; Joschua Schilling; Xi Wu; Huaming Chen; Rahul Gopinath (Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, SBFT 2024, Lisbon, Portugal, 14 April 2024, 2024)

GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model - Zhiyu Zhu; Huaming Chen; Xinyi Wang; Jiayu Zhang; Zhibo Jin; Kim-Kwang Raymond Choo; Jun Shen; Dong Yuan (Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024, 2024)

GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model - Zhiyu Zhu; Huaming Chen; Xinyi Wang; Jiayu Zhang; Zhibo Jin; Kim-Kwang Raymond Choo; Jun Shen; Dong Yuan (CoRR, 2024)

Large Language Models Based Fuzzing Techniques: A Survey - Linghan Huang; Peizhou Zhao; Huaming Chen; Lei Ma (CoRR, 2024)

Benchmarking Transferable Adversarial Attacks - Zhibo Jin; Jiayu Zhang; Zhiyu Zhu; Huaming Chen (CoRR, 2024)

FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells - Haoran Li; Jiahua Shi; Huaming Chen; Bo Du; Simon Maksour; Gabrielle Phillips; Mirella Dottori; Jun Shen (CoRR, 2024)

Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning - Yanli Li; Jehad Ibrahim; Huaming Chen; Dong Yuan; Kim-Kwang Raymond Choo (CoRR, 2024)

DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks - Zhiyu Zhu; Jiayu Zhang; Xinyi Wang; Zhibo Jin; Huaming Chen (CoRR, 2024)

On Security Weaknesses and Vulnerabilities in Deep Learning Systems - Zhongzheng Lai; Huaming Chen; Ruoxi Sun; Yu Zhang; Minhui Xue; Dong Yuan (CoRR, 2024)

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling - Haoran Li; Xingjian Li; Jiahua Shi; Huaming Chen; Bo Du; Daisuke Kihara; Johan Barthelemy; Jun Shen; Min Xu (CoRR, 2024)

Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness - Kacy Zhou; Jiawen Wen; Nan Yang; Dong Yuan; Qinghua Lu; Huaming Chen (CoRR, 2024)

Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges - Yanli Li; Zhongliang Guo; Nan Yang; Huaming Chen; Dong Yuan; Weiping Ding (CoRR, 2024)

From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future - Haolin Jin; Linghan Huang; Haipeng Cai; Jun Yan; Bo Li; Huaming Chen (CoRR, 2024)

Enhancing Model Interpretability with Local Attribution over Global Exploration - Zhiyu Zhu; Zhibo Jin; Jiayu Zhang; Huaming Chen (CoRR, 2024)

Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks - Zhibo Jin; Jiayu Zhang; Zhiyu Zhu; Xinyi Wang; Yiyun Huang; Huaming Chen (CoRR, 2024)

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance - Haolin Jin; Zechao Sun; Huaming Chen (CoRR, 2024)

CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence - Zao Zhang; Huaming Chen; Pei Ning; Nan Yang; Dong Yuan (CoRR, 2024)

AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems - Zhiyu Zhu; Zhibo Jin; Hongsheng Hu; Minhui Xue; Ruoxi Sun; Seyit Camtepe; Praveen Gauravaram; Huaming Chen (CoRR, 2024)

What You See Is Not Always What You Get: An Empirical Study of Code Comprehension by Large Language Models - Bangshuo Zhu; Jiawen Wen; Huaming Chen (CoRR, 2024)

Attribution for Enhanced Explanation with Transferable Adversarial eXploration - Zhiyu Zhu; Jiayu Zhang; Zhibo Jin; Huaming Chen; Jianlong Zhou; Fang Chen (CoRR, 2024)

A Survey on Data-driven Software Vulnerability Assessment and Prioritization - Triet Huynh Minh Le; Huaming Chen; Muhammad Ali Babar (ACM Comput. Surv., 2023)

Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography - Zihan Wang; Olivia Byrnes; Hu Wang; Ruoxi Sun; Congbo Ma; Huaming Chen; Qi Wu; Minhui Xue (IEEE Trans. Comput. Soc. Syst., 2023)

Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact - Yanli Li; Chongbin Ye; Huaming Chen; Shiping Chen; Minhui Xue; Jun Shen (IEEE International Conference on Software Services Engineering, SSE 2023, Chicago, IL, USA, July 2-8, 2023, 2023)

ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning - Yanli Li; Laicheng Zhong; Dong Yuan; Huaming Chen; Wei Bao (Proceedings of the 2023 Australasian Computer Science Week, ACSW 2023, Melbourne, VIC, Australia, 30 January 2023- 3 February 2023, 2023)

DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution - Zhibo Jin; Zhiyu Zhu; Xinyi Wang; Jiayu Zhang; Jun Shen; Huaming Chen (Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part II, 2023)

POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models - Zhibo Jin; Zhiyu Zhu; Hongsheng Hu; Minhui Xue; Huaming Chen (Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, ASIA CCS 2023, Melbourne, VIC, Australia, July 10-14, 2023, 2023)

Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads - Yu Zhang; Huaming Chen; Zhongzheng Lai; Zao Zhang; Dong Yuan (AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I, 2023)

Improving Adversarial Transferability via Frequency-based Stationary Point Search - Zhiyu Zhu; Huaming Chen; Jiayu Zhang; Xinyi Wang; Zhibo Jin; Qinghua Lu; Jun Shen; Kim-Kwang Raymond Choo (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning - Zhiyu Zhu; Huaming Chen; Zhibo Jin; Xinyi Wang; Jiayu Zhang; Minhui Xue; Qinghua Lu; Jun Shen; Kim-Kwang Raymond Choo (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

WirelessDT: A Digital Twin Platform for Real- Time Evaluation of Wireless Software Applications - Zhongzheng Lai; Dong Yuan; Huaming Chen; Yu Zhang; Wei Bao (45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, Melbourne, Australia, May 14-20, 2023, 2023)

Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning - Zhiyu Zhu; Jiayu Zhang; Zhibo Jin; Xinyi Wang; Minhui Xue; Jun Shen; Kim-Kwang Raymond Choo; Huaming Chen (Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part I, 2023)

Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads - Yu Zhang; Huaming Chen; Wei Bao; Zhongzheng Lai; Zao Zhang; Dong Yuan (CoRR, 2023)

Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models - Yuheng Huang; Jiayang Song; Zhijie Wang; Huaming Chen; Lei Ma (CoRR, 2023)

DANAA: Towards transferable attacks with double adversarial neuron attribution - Zhibo Jin; Zhiyu Zhu; Xinyi Wang; Jiayu Zhang; Jun Shen; Huaming Chen (CoRR, 2023)

Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios - Yanli Li; Huaming Chen; Wei Bao; Zhengmeng Xu; Dong Yuan (CoRR, 2023)

Code Ownership in Open-Source AI Software Security - Jiawen Wen; Dong Yuan; Lei Ma; Huaming Chen (CoRR, 2023)

MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks - Zhiyu Zhu; Huaming Chen; Jiayu Zhang; Xinyi Wang; Zhibo Jin; Minhui Xue; Dongxiao Zhu; Kim-Kwang Raymond Choo (CoRR, 2023)

FairCompass: Operationalising Fairness in Machine Learning - Jessica Liu; Huaming Chen; Jun Shen; Kim-Kwang Raymond Choo (CoRR, 2023)

Noisy Label Learning for Security Defects - Roland Croft; Muhammad Ali Babar; Huaming Chen (19th IEEE/ACM International Conference on Mining Software Repositories, MSR 2022, Pittsburgh, PA, USA, May 23-24, 2022, 2022)

LineVD: Statement-level Vulnerability Detection using Graph Neural Networks - David Hin; Andrey Kan; Huaming Chen; Muhammad Ali Babar (19th IEEE/ACM International Conference on Mining Software Repositories, MSR 2022, Pittsburgh, PA, USA, May 23-24, 2022, 2022)

Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges - Huaming Chen; Muhammad Ali Babar (CoRR, 2022)

Noisy Label Learning for Security Defects - Roland Croft; Muhammad Ali Babar; Huaming Chen (CoRR, 2022)

LineVD: Statement-level Vulnerability Detection using Graph Neural Networks - David Hin; Andrey Kan; Huaming Chen; Muhammad Ali Babar (CoRR, 2022)

Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions - Huaming Chen; Fuyi Li; Lei Wang; Yaochu Jin; Chi-Hung Chi; Lukasz A. Kurgan; Jiangning Song; Jun Shen (Briefings Bioinform., 2021)

A Survey on Data-driven Software Vulnerability Assessment and Prioritization - Triet Huynh Minh Le; Huaming Chen; Muhammad Ali Babar (CoRR, 2021)

Mechanical properties of the grooved-wheel drilling particles under multivariate interaction influenced based on 3D printing and EDEM simulation - Jianfeng Sun; Huaming Chen; Jieli Duan; Zhu Liu; Qingchuang Zhu (Comput. Electron. Agric., 2020)

APEX2S: A two-layer machine learning model for discovery of host-pathogen protein-protein interactions on cloud-based multiomics data - Huaming Chen; Jun Shen; Lei Wang; Chi-Hung Chi (Concurr. Comput. Pract. Exp., 2020)

A novel Monte Carlo-based neural network model for electricity load forecasting - Binbin Yong; Zijian Xu; Jun Shen; Huaming Chen; Jianqing Wu; Fucun Li; Qingguo Zhou (Int. J. Embed. Syst., 2020)

An intelligent blockchain-based system for safe vaccine supply and supervision - Binbin Yong; Jun Shen; Xin Liu; Fucun Li; Huaming Chen; Qingguo Zhou (Int. J. Inf. Manag., 2020)

A framework towards data analytics on host-pathogen protein-protein interactions - Huaming Chen; Jun Shen; Lei Wang; Jiangning Song (J. Ambient Intell. Humaniz. Comput., 2020)

A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies - Huaming Chen; Fucun Li; Geng Sun; Xuyun Zhang; Xianjun Dong; Lei Wang; Kewen Liao; Haifeng Shen; Jun Shen (2020 IEEE International Conference on Services Computing, SCC 2020, Beijing, China, November 7-11, 2020, 2020)

Saec: similarity-aware embedding compression in recommendation systems - Xiaorui Wu; Hong Xu; Honglin Zhang; Huaming Chen; Jian Wang (APSys '20: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, Tsukuba, Japan, August 24-25, 2020, 2020)

Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks - Fucun Li; Ailing Yang; Huaming Chen; Geng Sun; Fang Wang; Yunzhou Xie; Jiaqi Li; Jun Shen (2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020, 2020)

HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction - Huaming Chen; Yaochu Jin; Lei Wang; Chi-Hung Chi; Jun Shen (2020 International Joint Conference on Neural Networks, IJCNN 2020, Glasgow, United Kingdom, July 19-24, 2020, 2020)

Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning - Geng Sun; Jiayin Lin; Jun Shen; Tingru Cui; Dongming Xu; Huaming Chen (Intelligent Tutoring Systems - 16th International Conference, ITS 2020, Athens, Greece, June 8-12, 2020, Proceedings, 2020)

Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions - Huaming Chen; Jun Shen; Lei Wang; Yaochu Jin (Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020), L'Aquila, Italy, 17-19 June, 2020, 2020)

Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions - Huaming Chen; Lei Wang; Yaochu Jin; Chi-Hung Chi; Fucun Li; Huaiyuan Chu; Jun Shen (2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019)

Leveraging SMOTE in a Two-Layer Model for Prediction of Protein-Protein Interactions - Huaming Chen; Lei Wang; Chi-Hung Chi; Jun Shen (Seventh International Conference on Advanced Cloud and Big Data, CBD 2019, Suzhou, China, September 21-22, 2019, 2019)

Saec: Similarity-Aware Embedding Compression in Recommendation Systems - Xiaorui Wu; Hong Xu; Honglin Zhang; Huaming Chen; Jian Wang (CoRR, 2019)

Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey - Huaming Chen; William W. Guo; Jun Shen; Lei Wang; Jiangning Song (IEEE Access, 2018)

GVM based intuitive simulation web application for collision detection - Binbin Yong; Jun Shen; Zebang Shen; Huaming Chen; Xin Wang; Qingguo Zhou (Neurocomputing, 2018)

Real-Time Management of Groundwater Resources Based on Wireless Sensors Networks - Qingguo Zhou; Chong Chen; Gaofeng Zhang; Huaming Chen; Dan Chen; Yingnan Yan; Jun Shen; Rui Zhou (J. Sens. Actuator Networks, 2018)

Effective long-term travel time prediction with fuzzy rules for tollway - Ruimin Li; Geoffrey Rose; Huaming Chen; Jun Shen (Neural Comput. Appl., 2018)

Ensemble Machine Learning Systems for the Estimation of Steel Quality Control - Fucun Li; Jianqing Wu; Fang Dong; Jiayin Lin; Geng Sun; Huaming Chen; Jun Shen (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018)

Towards Biological Sequence Data Service with Insights - Huaming Chen; Jun Shen; Lei Wang; Chi-Hung Chi (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018)

Classification of normal/abnormal heart sound recordings based on multi-domain features and back propagation neural network - Hong Tang; Huaming Chen; Ting Li; Mingjun Zhong (CoRR, 2018)

Parallel GPU-based collision detection of irregular vessel wall for massive particles - Binbin Yong; Jun Shen; Hongyu Sun; Huaming Chen; Qingguo Zhou (Clust. Comput., 2017)

A New Model of Effective Carrier-to-Noise Ratio for Global Navigation Satellite System Receiver in the Presence of Continuous Wave Interference - Jian Li; Junwei Nie; Huaming Chen; Guangfu Sun; Feixue Wang (IEICE Trans. Commun., 2017)

Adaptive Time Taps of STAP Under Channel Mismatch for GNSS Antenna Arrays - Zukun Lu; Junwei Nie; Feiqiang Chen; Huaming Chen; Gang Ou (IEEE Trans. Instrum. Meas., 2017)

Intelligent monitor system based on cloud and convolutional neural networks - Binbin Yong; Gaofeng Zhang; Huaming Chen; Qingguo Zhou (J. Supercomput., 2017)

Assisting Open Education Resource Providers and Instructors to Deal with Cold Start Problem in Adaptive Micro Learning: A Service Oriented Solution - Geng Sun; Tingru Cui; Dongming Xu; Huaming Chen; Shiping Chen; Jun Shen (2017 IEEE International Conference on Services Computing, SCC 2017, Honolulu, HI, USA, June 25-30, 2017, 2017)

Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland - Binbin Yong; Zijian Xu; Jun Shen; Huaming Chen; Yan-Shan Tian; Qingguo Zhou (Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2017, Geelong, Australia, January 31 - February 3, 2017, 2017)

Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey - Huaming Chen; Jiangning Song; Geng Sun; Jun Shen; Lei Wang (2017 IEEE International Congress on Big Data, BigData Congress 2017, Honolulu, HI, USA, June 25-30, 2017, 2017)

Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions - Huaming Chen; Jun Shen; Lei Wang; Jiangning Song (2017 IEEE International Congress on Big Data, BigData Congress 2017, Honolulu, HI, USA, June 25-30, 2017, 2017)

Quantitative Measurement of Respiratory Split in the Second Heart Sound - Hong Tang; Huaming Chen; Ting Li (Computing in Cardiology, CinC 2007, Rennes, France, September 24-27, 2017, 2017)

Collaborative data analytics towards prediction on pathogen-host protein-protein interactions - Huaming Chen; Jun Shen; Lei Wang; Jiangning Song (21st IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017, Wellington, New Zealand, April 26-28, 2017, 2017)

An Evaluation of the Dynamics of Diluted Neural Network - Lijuan Wang; Jun Shen; Qingguo Zhou; Zhihao Shang; Huaming Chen; Hong Zhao (Int. J. Comput. Intell. Syst., 2016)

A Local Field Correlated and Monte Carlo Based Shallow Neural Network Model for Nonlinear Time Series Prediction - Qingguo Zhou; Huaming Chen; Hong Zhao; Gaofeng Zhang; Jianming Yong; Jun Shen (EAI Endorsed Trans. Scalable Inf. Syst., 2016)

Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey - Huaming Chen; Jun Shen; Lei Wang; Jiangning Song (2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27 - July 2, 2016, 2016)

Classification of Normal/Abnormal Heart Sound Recordings based on Multi-Domain Features and Back Propagation Neural Network - Hong Tang; Huaming Chen; Ting Li; Mingjun Zhong (Computing in Cardiology, CinC 2016, Vancouver, Canada, September 11-14, 2016, 2016)

RCSoS: An IEC 61508 Compatible Server Model for Reliable Communication - Rui Zhou; Xiaolong Chen; Huaming Chen; Fenglong Yan; Chunlin Chen; Qi Yu; Qingguo Zhou; Kuan-Ching Li (J. Signal Process. Syst., 2015)

Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection - Huaming Chen; Hong Zhao; Jun Shen; Rui Zhou; Qingguo Zhou (2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27 - July 2, 2015, 2015)

Cloud Services Aided e-Tourism: In the Case of Low-Cost Airlines for Backpacking - Qingguo Zhou; Jason C. Hung; Jun Hu; Huaming Chen; Rui Zhou; Ji Qi; Lei Yang; Xuan Wang (Frontier and Innovation in Future Computing and Communications, Proceedings of the 2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014, Auckland, New Zealand, January 13-16, 2014, 2014)

The communication model between humanoid robot and mobile phone - Huaming Chen; Yong Sheng; Rui Zhou; Qingguo Zhou; Shouqing Sun; Jason C. Hung (International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, iCAST 2013 & UMEDIA 2013, Aizuwakamatsu, Japan, November 2-4, 2013, 2013)

Cloud Services Aided E-Tourism: In the Case of Low-Cost Airlines for Backpacking - Jason C. Hung; Rui Zhou; Jun Hu; Huaming Chen; Qingguo Zhou; Ji Qi; Lei Yang (19th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2013, Seoul, Korea, December 15-18, 2013, 2013)

A Server Model for Reliable Communication on Cell/B.E - Rui Zhou; Huaming Chen; Qun Liu; Yong Sheng; Qingguo Zhou; Xuan Wang; Kuan-Ching Li (42nd International Conference on Parallel Processing, ICPP 2013, Lyon, France, October 1-4, 2013, 2013)