Wei Zhou

Publication Activity (10 Years)

Years Active: 2014-2025
Publications (10 Years): 50

Top Topics

Recommender Systems

Social Recommendation

Attack Detection

Tensor Decomposition

Top Venues

Expert Syst. Appl.

Publications

Yulin Wang, Yihao Zhang, Junlin Zhu, Yao Li, Wei Zhou
MCKP: Multi-aspect contextual knowledge-enhanced prompting for conversational recommender systems. Inf. Sci. 686 (2025)
Hu Liu, Xuanyu Lu, Wei Zhou, Junhao Wen
Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning. ICIC (13) (2024)
Xunan Dong, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
SFL: A semantic-based federated learning method for POI recommendation. Inf. Sci. 679 (2024)
Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen
Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning. IEEE Trans. Serv. Comput. 17 (3) (2024)
Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. ICASSP (2024)
Yihao Zhang, Yuhao Wang, Wei Zhou, Pengxiang Lan, Haoran Xiang, Junlin Zhu, Meng Yuan
Conversational recommender based on graph sparsification and multi-hop attention. Intell. Data Anal. 28 (1) (2024)
Yihao Zhang, Junlin Zhu, Ruizhen Chen, Weiwen Liao, Yulin Wang, Wei Zhou
Mixed-curvature knowledge-enhanced graph contrastive learning for recommendation. Expert Syst. Appl. 237 (Part B) (2024)
Hongyu Wang, Wei Zhou, Junhao Wen, Shutong Qiao
Multiple hypergraph convolutional network social recommendation using dual contrastive learning. Data Min. Knowl. Discov. 38 (4) (2024)
Yuhang Chang, Wei Zhou, Junhao Wen
IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation. Expert Syst. Appl. 228 (2023)
Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Wang, Linfeng Hu, Shuang Ni
Multi-perspective enhanced representation for effective session-based recommendation. Knowl. Based Syst. 263 (2023)
Linfeng Hu, Junhao Wen, Hanwen Zhang, Wei Zhou, Hongyu Wang
Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems. Intell. Data Anal. 27 (3) (2023)
Linfeng Hu, Wei Zhou, Fengji Luo, Shuang Ni, Junhao Wen
Enhanced contrastive learning with multi-aspect information for recommender systems. Knowl. Based Syst. 277 (2023)
Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
Point-of-interest Recommendation using Deep Semantic Model. Expert Syst. Appl. 231 (2023)
Xinyu Xiao, Wei Zhou, Junhao Wen
LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network. Inf. Sci. 642 (2023)
Yulin Wang, Yihao Zhang, Junlin Zhu, Weiwen Liao, Meng Yuan, Wei Zhou
Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations. Knowl. Based Syst. 282 (2023)
Yuhang He, Wei Zhou, Fengji Luo, Min Gao, Junhao Wen
Feature-based POI grouping with transformer for next point of interest recommendation. Appl. Soft Comput. 147 (2023)
Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao
Enhancing sequential recommendation with contrastive Generative Adversarial Network. Inf. Process. Manag. 60 (3) (2023)
Liping Wang, Wei Zhou, Ling Liu, Zhengyi Yang, Junhao Wen
Deep adaptive collaborative graph neural network for social recommendation. Expert Syst. Appl. 229 (Part A) (2023)
Yihao Zhang, Chu Zhao, Weiwen Liao, Wei Zhou, Meng Yuan
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Yao Chang, Wei Zhou, Haini Cai, Wei Fan, Linfeng Hu, Junhao Wen
Meta-relation assisted knowledge-aware coupled graph neural network for recommendation. Inf. Process. Manag. 60 (3) (2023)
Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. CIKM (2023)
Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Shutong Qiao, Wei Zhou, Fengji Luo, Junhao Wen
Noise-reducing graph neural network with intent-target co-action for session-based recommendation. Inf. Process. Manag. 60 (6) (2023)
Yubiao Wang, Junhao Wen, Wei Zhou, Bamei Tao, Quanwang Wu, Chunlei Fu, Heng Li
An early warning method for abnormal behavior of college students based on multimodal fusion and improved decision tree. J. Intell. Fuzzy Syst. 45 (5) (2023)
Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. CIKM (2023)
Yubiao Wang, Junhao Wen, Wei Zhou, Xibin Wang, Quanwang Wu, Bamei Tao
A cloud service recommendation method based on extended multi-source information fusion. Concurr. Comput. Pract. Exp. 34 (10) (2022)
Guanzhong Liang, Junhao Wen, Wei Zhou
Individual Diversity Preference Aware Neural Collaborative Filtering. Knowl. Based Syst. 258 (2022)
Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen
Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. IJCNN (2022)
Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen, Min Gao, Xiuhua Li, Jun Zeng
SocialLGN: Light graph convolution network for social recommendation. Inf. Sci. 589 (2022)
Guanzhong Liang, Jie Liao, Wei Zhou, Junhao Wen
Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation. ICWS (2022)
Xinyu Xiao, Junhao Wen, Wei Zhou, Fengji Luo, Min Gao, Jun Zeng
Multi-interaction fusion collaborative filtering for social recommendation. Expert Syst. Appl. 205 (2022)
Zhiwen Xu, Haijun Ren, Wei Zhou, Zhichao Liu
ISANET: Non-small cell lung cancer classification and detection based on CNN and attention mechanism. Biomed. Signal Process. Control. 77 (2022)
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou, Junhao Wen
BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model. EURASIP J. Wirel. Commun. Netw. 2022 (1) (2022)
Chuan Lin, Wei Zhou, Junhao Wen
Interest-Aware Contrastive-Learning-Based GCN for Recommendation. IEEE Access 10 (2022)
Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen
Ada: Adversarial learning based data augmentation for malicious users detection. Appl. Soft Comput. 117 (2022)
Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. PAKDD (1) (2022)
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou
The Missing POI Completion Based on Bidirectional Masked Trajectory Model. CollaborateCom (1) (2021)
Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao
Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. SCC (2021)
Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao
Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. IJCNN (2021)
Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Wei Zhou
Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey. IEEE Access 8 (2020)
Yubiao Wang, Junhao Wen, Xibin Wang, Bamei Tao, Wei Zhou
A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis. Secur. Commun. Networks 2019 (2019)
Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou
From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. IJCNN (2019)
Yubiao Wang, Junhao Wen, Wei Zhou
A trust-based evaluation model for data privacy protection in cloud computing. Int. J. High Perform. Comput. Netw. 14 (2) (2019)
Tian Chen, Junhao Wen, Qingyu Xiong, Jun Zeng, Wei Zhou, Xueyuan Cai
Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition. IEEE Access 7 (2019)
Yubiao Wang, Junhao Wen, Wei Zhou, Bamei Tao, Quanwang Wu, Zhiyong Tao
A Cloud Service Selection Method Based on Trust and User Preference Clustering. IEEE Access 7 (2019)
Jun Zeng, Xin He, Yinghua Li, Junhao Wen, Wei Zhou
A Point-of-Interest recommendation method using user similarity. Web Intell. 16 (2) (2018)
Yubiao Wang, Junhao Wen, Wei Zhou, Fengji Luo
A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing. TrustCom/BigDataSE (2018)
Jun Zeng, Feng Li, Junhao Wen, Wei Zhou
A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks. CollaborateCom (2017)
Wei Zhou, Junhao Wen, Qingyu Xiong, Min Gao, Jun Zeng
SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems. Neurocomputing 210 (2016)
Wei Zhou, Junhao Wen, Qingyu Xiong, Jun Zeng, Ling Liu, Haini Cai, Tian Chen
Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series. CollaborateCom (2016)
Xibin Wang, Junhao Wen, Fengji Luo, Wei Zhou, Haijun Ren
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization. KSEM (2015)
Wei Zhou, Junhao Wen, Min Gao, Ling Liu, Haini Cai, Xibin Wang
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems. KSEM (2015)
Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie
Detection of abnormal profiles on group attacks in recommender systems. SIGIR (2014)
Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie
Attack detection in recommender systems based on target item analysis. IJCNN (2014)