Fusion of Personalized Implicit Relations for Social Recommendation - Wei Qin; Jiwei Qin; Tao Wang (IEEE Access, 2024)

PFformer: A Time-Series Forecasting Model for Short-Term Precipitation Forecasting - Luwen Xu; Jiwei Qin; Dezhi Sun; Yuanyuan Liao; Jiong Zheng (IEEE Access, 2024)

Adaptive Frequency Domain Data Augmentation for Sequential Recommendation - Zhibin Yang; Jiwei Qin; Donghao Zhang; Jie Ma; Peichen Ji (IEEE Access, 2024)

CMMamba: channel mixing Mamba for time series forecasting - Qiang Li; Jiwei Qin; Daishun Cui; Dezhi Sun; Dacheng Wang (J. Big Data, 2024)

EP-BoxE: A method for hypernym discovery based on extended patterns and box embeddings - Chongren Feng; Jiwei Qin; Yuhang Zhang (J. Intell. Fuzzy Syst., 2024)

BMDF-SR: bidirectional multi-sequence decoupling fusion method for sequential recommendation - Aohua Gao; Jiwei Qin; Chao Ma; Tao Wang (J. Intell. Inf. Syst., 2024)

Knowledge filter contrastive learning for recommendation - Boshen Xia; Jiwei Qin; Lu Han; Aohua Gao; Chao Ma (Knowl. Inf. Syst., 2024)

Item attributes fusion based on contrastive learning for sequential recommendation - Donghao zhang; Jiwei Qin; Jie Ma; Zhibin Yang; Daishun Cui; Peichen Ji (Multim. Syst., 2024)

Multimodal recommendation algorithm based on Dempster-Shafer evidence theory - Xiaole Wang; Jiwei Qin (Multim. Tools Appl., 2024)

Residual Graph Convolution Collaborative Filtering with Asymmetric neighborhood aggregation - Tao Wang; Jiwei Qin; Chao Ma (Neural Comput. Appl., 2024)

PEB-TAXO: Projecting Entities as Boxes for Taxonomy Expansion - Yuhang Zhang; Jiwei Qin; Chongren Feng (Neural Process. Lett., 2024)

A Phishing Account Detection Model via Network Embedding for Ethereum - Jintao Luo; Jiwei Qin; Ruijin Wang; Lu Li (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Degree-aware embedding-based multi-correlated graph convolutional collaborative filtering - Chao Ma; Jiwei Qin; Tao Wang; Aohua Gao (J. Supercomput., 2024)

Subgraph Collaborative Graph Contrastive Learning for Recommendation - Jie Ma; Jiwei Qin; Peichen Ji; Zhibin Yang; Donghao Zhang; Chaoqun Liu (Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IX, 2024)

MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting - Daishun Cui; Jiwei Qin; Fang He; Fei Shi; Qiang Li; Dezhi Sun; Jiachen Xie (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

LinWA:Linear Weights Attention for Time Series Forecasting - Qiang Li; Jiwei Qin; Dezhi Sun; Fei Shi; Daishun Cui; Jiachen Xie (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

MSFSAN: A Novel Multi-Scale Spatio-Temporal Feature Screening Attention Network for Urban Carbon Emission Prediction - Ben Wang; Xizhong Qin; Jiwei Qin; Xiaoyu Zhang; Haodong Ma (IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024, Kuching, Malaysia, October 6-10, 2024, 2024)

Design and Implementation of an Enterprise Credit Risk Assessment Model Based on Improved Fuzzy Neural Network - Bingzheng Fan; Jiwei Qin (Appl. Artif. Intell., 2023)

A Scalable Byzantine Fault Tolerance Algorithm Based on a Tree Topology Network - Wangxi Jiang; Xiaoxiong Wu; Mingyang Song; Jiwei Qin; Zhenhong Jia (IEEE Access, 2023)

IGAN: A collaborative filtering model based on Improved Generative Adversarial Networks for recommendation - Xiaoyuan Song; Jiwei Qin; Qiulin Ren; Jiong Zheng (Eng. Appl. Artif. Intell., 2023)

GANRec: A negative sampling model with generative adversarial network for recommendation - Zhi Yang; Jiwei Qin; Chuan Lin; Yanping Chen; Ruizhang Huang; Yongbin Qin (Expert Syst. Appl., 2023)

Collaborative variational factorisation machine for recommender system - Jiwei Qin; Honglin Dai (Int. J. Auton. Adapt. Commun. Syst., 2023)

DTGCN: a method combining dependency tree and graph convolutional networks for Chinese long-interval named entity relationship extraction - Taoyuan Li; Liangli Ma; Jiwei Qin; Wei Ren (J. Ambient Intell. Humaniz. Comput., 2023)

Degree-Aware Embedding and Interactive Feature Fusion-Based Graph Convolution Collaborative Filtering - Chao Ma; Jiwei Qin; Aohua Gao (Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part III, 2023)

Improved Fault-Tolerant Consensus Based on the PBFT Algorithm - Jian Yang; Zhenhong Jia; Ruiguo Su; Xiaoxiong Wu; Jiwei Qin (IEEE Access, 2022)

Dual Auto-Encoder Based Rating Prediction Recommendation Algorithm - Gaowei Xin; Jiwei Qin; Xiaoyuan Song; Jiong Zheng (IEEE Access, 2022)

A List-Ranking Framework Based on Linear and Non-Linear Fusion for Recommendation from Implicit Feedback - Buchen Wu; Jiwei Qin (Entropy, 2022)

Fusing pre-trained convolutional neural networks features for multi-differentiated subtypes of liver cancer on histopathological images - Xiaogang Dong; Min Li; Panyun Zhou; Xin Deng; Siyu Li; Xingyue Zhao; Yi Wu; Jiwei Qin; Wenjia Guo (BMC Medical Informatics Decis. Mak., 2022)

A Ranking Recommendation Algorithm Based on Dynamic User Preference - Chunting Wei; Jiwei Qin; Qiulin Ren (Sensors, 2022)

CKEN: Collaborative Knowledge-Aware Enhanced Network for Recommender Systems - Wei Zeng; Jiwei Qin; Xiaole Wang (Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II, 2022)

Boosting Gas Classification with Attention-based Mechanism - Jiwei Qin; Xiang Li; Meiqi Pan; Gaofei Liu; Zhiyuan Ma (IEEE International Conference on Networking, Sensing and Control, ICNSC 2022, Shanghai, China, December 15-18, 2022, 2022)

DNR: A Unified Framework of List Ranking With Neural Networks for Recommendation - Chunting Wei; Jiwei Qin; Wei Zeng (IEEE Access, 2021)

Neural Collaborative Autoencoder for Recommendation With Co-Occurrence Embedding - Wei Zeng; Jiwei Qin; Chunting Wei (IEEE Access, 2021)

Graph-based recommendation by trust - Liejun Wang; Long Pan; Jiwei Qin (Int. J. Internet Protoc. Technol., 2021)

Matrix factorization completed multicontext data for tensor-enhanced recommendation - Shangju Deng; Jiwei Qin (J. Intell. Fuzzy Syst., 2021)

A Social Recommendation Based on Metric Learning and Users' Co-Occurrence Pattern - Xin Zhang; Jiwei Qin; Jiong Zheng (Symmetry, 2021)

Asymmetric convolution with densely connected networks - Liejun Wang; Huanglu Wen; Jiwei Qin; Shuli Cheng (Int. J. Comput. Sci. Math., 2020)

An algorithm of decomposition and combinatorial optimisation based on 3-Otsu - Liejun Wang; Junhui Wu; Jiwei Qin (Int. J. Inf. Commun. Technol., 2020)

Video encryption scheme using hybrid encryption technology - Qingqing Han; Liejun Wang; Yongming Lee; Jiwei Qin (Int. J. Internet Protoc. Technol., 2020)

User Embedding for Rating Prediction in SVD++-Based Collaborative Filtering - Wenchuan Shi; Liejun Wang; Jiwei Qin (Symmetry, 2020)

A Low-Rank Tensor Factorization Using Implicit Similarity in Trust Relationships - Pei Ma; Liejun Wang; Jiwei Qin (Symmetry, 2020)

Metric Factorization with Item Cooccurrence for Recommendation - Honglin Dai; Liejun Wang; Jiwei Qin (Symmetry, 2020)

Pruning Optimization over Threshold-Based Historical Continuous Query - Jiwei Qin; Liangli Ma; Qing Liu (Algorithms, 2019)

THBase: A Coprocessor-Based Scheme for Big Trajectory Data Management - Jiwei Qin; Liangli Ma; Jinghua Niu (Future Internet, 2019)

A personalised recommendation algorithm based on probabilistic neural networks - Long Pan; Jiwei Qin; Liejun Wang (Int. J. Inf. Commun. Technol., 2019)

Modelling of learner behaviour in massive open online video-on-demand services - Jiwei Qin; Qinghua Zheng (Int. J. Inf. Commun. Technol., 2019)

An item recommendation model with content semantic - Yunpeng Jiang; Liejun Wang; Jiwei Qin (Int. J. Inf. Commun. Technol., 2019)

Recommender resources based on acquiring user's requirement and exploring user's preference with Word2Vec model in web service - Jiwei Qin; Yunpeng Jiang (Int. J. Internet Protoc. Technol., 2019)

DFTHR: A Distributed Framework for Trajectory Similarity Query Based on HBase and Redis - Jiwei Qin; Liangli Ma; Qing Liu (Inf., 2019)

A novel deep hashing method for fast image retrieval - Shuli Cheng; Huicheng Lai; Liejun Wang; Jiwei Qin (Vis. Comput., 2019)

Combine availability with user preferences for efficient WSC - Xiaofeng Han; Liejun Wang; Jiwei Qin (Web Intell., 2019)

Discovery of Rare Key Phrases - Yanping Chen; Sha Liu; Qinghua Zheng; Ruizhang Huang; Yongbin Qin; Jiwei Qin; Ping Chen (15th IEEE International Conference on e-Business Engineering, ICEBE 2018, Xi'an, China, October 12-14, 2018, 2018)

Super-resolution reconstruction of sparse dictionaries based on integrated feature - Dan Li; Liejun Wang; Jiwei Qin (Proceedings of the 3rd International Conference on Communication and Information Processing, ICCIP 2017, Tokyo, Japan, November 24-26, 2017, 2017)

A Study of Learner-Oriented Negative Emotion Compensation in E-learning - Jiwei Qin; Qinghua Zheng; Haifei Li (J. Educ. Technol. Soc., 2014)

An Emotion-oriented Music Recommendation Algorithm Fusing Rating and Trust - Jiwei Qin; Qinghua Zheng; Feng Tian; Deli Zheng (Int. J. Comput. Intell. Syst., 2014)

E-Learning oriented emotion regulation Mechanism and strategies in interactive text applications - Feng Tian; Baicheng An; Deli Zheng; Jiwei Qin; Qinghua Zheng; Yang Yang (Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2011, June 8-10, 2011, Lausanne, Switzerland, 2011)

A Trust-Personality Mechanism for Emotion Compensation - Jiwei Qin; Qinghua Zheng; Feng Tian (ICALT 2011, 11th IEEE International Conference on Advanced Learning Technologies, Athens, Georgia, USA, 6-8 July 2011, 2011)

An Emotion Regulation Model in an E-Learning Environment - Jiwei Qin; Qinghua Zheng; Haifei Li; Huisan Zhang (Advances in Web-Based Learning - ICWL 2010 - 9th International Conference, Shanghai, China, December 8-10, 2010. Proceedings, 2010)