Attack detection in recommender systems based on target item analysis. - Wei Zhou 028; Junhao Wen 001; Yun Sing Koh; Shafiq Alam; Gillian Dobbie (IJCNN, 2014)

Detection of abnormal profiles on group attacks in recommender systems. - Wei Zhou 028; Yun Sing Koh; Junhao Wen 001; Shafiq Alam; Gillian Dobbie (SIGIR, 2014)

Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization. - Xibin Wang; Junhao Wen 001; Fengji Luo; Wei Zhou 028; Haijun Ren (KSEM, 2015)

A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems. - Wei Zhou 028; Junhao Wen 001; Min Gao 001; Ling Liu 001; Haini Cai; Xibin Wang (KSEM, 2015)

Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series. - Wei Zhou 028; Junhao Wen 001; Qingyu Xiong; Jun Zeng 003; Ling Liu 001; Haini Cai; Tian Chen (CollaborateCom, 2016)

SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems. - Wei Zhou 028; Junhao Wen 001; Qingyu Xiong; Min Gao 001; Jun Zeng 003 (Neurocomputing, 2016)

A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks. - Jun Zeng 003; Feng Li 038; Junhao Wen 001; Wei Zhou 028 (CollaborateCom, 2017)

A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028; Fengji Luo (TrustCom/BigDataSE, 2018)

A Point-of-Interest recommendation method using user similarity. - Jun Zeng 003; Xin He; Yinghua Li; Junhao Wen 001; Wei Zhou 028 (Web Intell., 2018)

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. - Min Yang 007; Lei Chen 072; Xiaojun Chen 006; Qingyao Wu; Wei Zhou 028; Ying Shen 001 (IJCAI, 2019)

From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. - Jianing Zhou; Junhao Wen 001; Shun Li; Wei Zhou 028 (IJCNN, 2019)

Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition. - Tian Chen; Junhao Wen 001; Qingyu Xiong; Jun Zeng 003; Wei Zhou 028; Xueyuan Cai (IEEE Access, 2019)

A Cloud Service Selection Method Based on Trust and User Preference Clustering. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028; Bamei Tao; Quanwang Wu; Zhiyong Tao (IEEE Access, 2019)

A trust-based evaluation model for data privacy protection in cloud computing. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028 (Int. J. High Perform. Comput. Netw., 2019)

Advanced community question answering by leveraging external knowledge and multi-task learning. - Min Yang 007; Wenting Tu; Qiang Qu; Wei Zhou 028; Qiao Liu 003; Jia Zhu 003 (Knowl. Based Syst., 2019)

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. - Min Yang 007; Qingnan Jiang; Ying Shen 001; Qingyao Wu; Zhou Zhao 001; Wei Zhou 028 (Neural Networks, 2019)

A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis. - Yubiao Wang; Junhao Wen 001; Xibin Wang; Bamei Tao; Wei Zhou 028 (Secur. Commun. Networks, 2019)

Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey. - Chuan Sun; Hui Li; Xiuhua Li; Junhao Wen 001; Qingyu Xiong; Wei Zhou 028 (IEEE Access, 2020)

Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. - Hanwen Zhang; Wei Zhou 028; Junhao Wen 001; Ling Liu 001; Jun Zeng 003; Min Gao 001 (SCC, 2021)

The Missing POI Completion Based on Bidirectional Masked Trajectory Model. - Jun Zeng 003; Yizhu Zhao; Yang Yu 033; Min Gao 001; Wei Zhou 028 (CollaborateCom (1), 2021)

GRU with Level-Aware Attention for Rumor Early Detection in Social Networks. - Yu Wang 267; Wei Zhou 028; Junhao Wen 001; Jun Zeng 003; Haoran He; Lin Liu (ICONIP (2), 2021)

Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing. - Juan Yao; Jun Zeng 003; Junhao Wen 001; Wei Zhou 028; Min Gao 001 (IJCNN, 2021)

A Flow Prediction Model of Bike-Sharing Based on Cycling Context. - Yizhu Zhao; Jun Zeng 003; Min Gao 001; Wei Zhou 028; Junhao Wen 001 (CollaborateCom (1), 2022)

Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation. - Guanzhong Liang; Jie Liao; Wei Zhou 028; Junhao Wen 001 (ICWS, 2022)

Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. - Xuqi Yang; Xinyu Xiao; Wei Zhou 028; Junhao Wen 001 (IJCNN, 2022)

Leveraging GCN and User Friendship for Next POI Recommendation. - Cheng Fu; Wei Zhou 028; Junhao Wen 001; Xiangxing Guo; Yuhang Chang (MLNLP, 2022)

LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. - Lin Liu; Wei Zhou 028; Junhao Wen 001; Yihao Zhang 002; Yu Wang 267; Hanwen Zhang (PAKDD (1), 2022)

Interest-Aware Contrastive-Learning-Based GCN for Recommendation. - Chuan Lin; Wei Zhou 028; Junhao Wen 001 (IEEE Access, 2022)

Ada: Adversarial learning based data augmentation for malicious users detection. - Jia Wang; Min Gao 001; Zongwei Wang 002; Chenghua Lin; Wei Zhou 028; Junhao Wen 001 (Appl. Soft Comput., 2022)

ISANET: Non-small cell lung cancer classification and detection based on CNN and attention mechanism. - Zhiwen Xu; Haijun Ren; Wei Zhou 028; Zhichao Liu (Biomed. Signal Process. Control., 2022)

A cloud service recommendation method based on extended multi-source information fusion. - Yubiao Wang; Junhao Wen 001; Wei Zhou 028; Xibin Wang; Quanwang Wu; Bamei Tao (Concurr. Comput. Pract. Exp., 2022)

BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model. - Jun Zeng 003; Yizhu Zhao; Yang Yu 033; Min Gao 001; Wei Zhou 028; Junhao Wen 001 (EURASIP J. Wirel. Commun. Netw., 2022)

Multi-interaction fusion collaborative filtering for social recommendation. - Xinyu Xiao; Junhao Wen 001; Wei Zhou 028; Fengji Luo; Min Gao 001; Jun Zeng 003 (Expert Syst. Appl., 2022)

SocialLGN: Light graph convolution network for social recommendation. - Jie Liao; Wei Zhou 028; Fengji Luo; Junhao Wen 001; Min Gao 001; Xiuhua Li; Jun Zeng 003 (Inf. Sci., 2022)

Individual Diversity Preference Aware Neural Collaborative Filtering. - Guanzhong Liang; Junhao Wen 001; Wei Zhou 028 (Knowl. Based Syst., 2022)

CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation. - Chenghua Duan; Wei Fan; Wei Zhou 028; Hu Liu; Junhao Wen 001 (CIKM, 2023)

Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. - Shutong Qiao; Wei Zhou 028; Junhao Wen 001; Hongyu Zhang 002; Min Gao 001 (CIKM, 2023)

Spatio-Temporal Position-Extended and Gated-Deep Network for Next POI Recommendation. - Pengxiang Lan; Yihao Zhang 002; Haoran Xiang; Yuhao Wang; Wei Zhou 028 (DASFAA (2), 2023)

Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems. - Linfeng Hu; Junhao Wen 001; Hanwen Zhang; Wei Zhou 028; Hongyu Wang (Intell. Data Anal., 2023)

LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network. - Xinyu Xiao; Wei Zhou 028; Junhao Wen 001 (Inf. Sci., 2023)

Multi-perspective enhanced representation for effective session-based recommendation. - Shutong Qiao; Wei Zhou 028; Junhao Wen 001; Hongyu Wang; Linfeng Hu; Shuang Ni (Knowl. Based Syst., 2023)

Meta-relation assisted knowledge-aware coupled graph neural network for recommendation. - Yao Chang; Wei Zhou 028; Haini Cai; Wei Fan; Linfeng Hu; Junhao Wen 001 (Inf. Process. Manag., 2023)

Enhancing sequential recommendation with contrastive Generative Adversarial Network. - Shuang Ni; Wei Zhou 028; Junhao Wen 001; Linfeng Hu; Shutong Qiao (Inf. Process. Manag., 2023)

Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. - Ziyu Lyu; Yue Wu 013; Junjie Lai; Min Yang 007; Chengming Li; Wei Zhou 028 (IEEE Trans. Knowl. Data Eng., 2023)

IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation. - Yuhang Chang; Wei Zhou 028; Junhao Wen 001 (Expert Syst. Appl., 2023)

Enhanced contrastive learning with multi-aspect information for recommender systems. - Linfeng Hu; Wei Zhou 028; Fengji Luo; Shuang Ni; Junhao Wen 001 (Knowl. Based Syst., 2023)

Feature-based POI grouping with transformer for next point of interest recommendation. - Yuhang He; Wei Zhou 028; Fengji Luo; Min Gao 001; Junhao Wen 001 (Appl. Soft Comput., 2023)

Deep adaptive collaborative graph neural network for social recommendation. - Liping Wang; Wei Zhou 028; Ling Liu 001; Zhengyi Yang 003; Junhao Wen 001 (Expert Syst. Appl., 2023)

Point-of-interest Recommendation using Deep Semantic Model. - Ziwei Wang; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Expert Syst. Appl., 2023)

Noise-reducing graph neural network with intent-target co-action for session-based recommendation. - Shutong Qiao; Wei Zhou 028; Fengji Luo; Junhao Wen 001 (Inf. Process. Manag., 2023)

Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations. - Yulin Wang; Yihao Zhang 002; Junlin Zhu; Weiwen Liao; Meng Yuan; Wei Zhou 028 (Knowl. Based Syst., 2023)

Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation. - Yihao Zhang 002; Chu Zhao; Weiwen Liao; Wei Zhou 028; Meng Yuan (ACM Trans. Intell. Syst. Technol., 2023)

Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features. - Xinyu Zhang; Zixin Chang; Li Li 029; Wei Zhou 028; Junhao Wen 001 (APSEC, 2024)

Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. - Junwei Yin; Min Gao 001; Kai Shu; Jia Wang; Yinqiu Huang; Wei Zhou 028 (ICASSP, 2024)

Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning. - Hu Liu; Xuanyu Lu; Wei Zhou 028; Junhao Wen 001 (ICIC (13), 2024)

ALGIN: Adaptive Local and Global Interests Network for Click-Through Rate Prediction. - Yingjia Xiang; Xuanyu Lu; Wei Zhou 028; Junhao Wen 001 (SMC, 2024)

LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. - Shutong Qiao; Chen Gao 001; Junhao Wen 001; Wei Zhou 028; Qun Luo; Peixuan Chen; Yong Li 008 (CoRR, 2024)

Conversational recommender based on graph sparsification and multi-hop attention. - Yihao Zhang 002; Yuhao Wang; Wei Zhou 028; Pengxiang Lan; Haoran Xiang; Junlin Zhu; Meng Yuan (Intell. Data Anal., 2024)

SCFL: Spatio-temporal consistency federated learning for next POI recommendation. - Lin Zhong; Jun Zeng 003; Ziwei Wang; Wei Zhou 028; Junhao Wen 001 (Inf. Process. Manag., 2024)

SFL: A semantic-based federated learning method for POI recommendation. - Xunan Dong; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Inf. Sci., 2024)

CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. - Bo Liu; Jun Zeng 003; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (Knowl. Based Syst., 2024)

Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning. - Jie Liao; Wei Zhou 028; Fengji Luo; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2024)

Mixed-curvature knowledge-enhanced graph contrastive learning for recommendation. - Yihao Zhang 002; Junlin Zhu; Ruizhen Chen; Weiwen Liao; Yulin Wang; Wei Zhou 028 (Expert Syst. Appl., 2024)

Multiple hypergraph convolutional network social recommendation using dual contrastive learning. - Hongyu Wang; Wei Zhou 028; Junhao Wen 001; Shutong Qiao (Data Min. Knowl. Discov., 2024)

EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. - Yinqiu Huang; Min Gao 001; Kai Shu; Chenghua Lin; Jia Wang; Wei Zhou 028 (ACM Trans. Knowl. Discov. Data, 2024)

SCML-GNN: A Graph Neural Network Model Leveraging Sensor Causality and Meta-Learning for Mechanical Fault Classification. - Ziyi Xiao; Yueyang Wang; Gang Tan; Dandan He; Jianing Li; Wei Zhou 028 (Int. J. Pattern Recognit. Artif. Intell., 2024)

STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation. - Jiaming Li 004; Yukun Chen; Ziqiang Liu; Minghuan Tan; Lei Zhang 201; Yunshui Li; Run Luo; Longze Chen; Jing Luo; Ahmadreza Argha; Hamid Alinejad-Rokny; Wei Zhou 028; et al. (ACL (Findings), 2025)

Modality Perception Network for Multi-modal Rumor Detection. - Yuchao Chen; Xiangyuan Jiang; Yiheng Xu; Wei Zhou 028 (ICIC (1), 2025)

Dual-Perspective Modeling: Interest Trend-Detection and Diversity-Aware for Multi-behavior Sequential Recommendation. - Peixuan Sun; Zhida Zheng; Yuhan Yang; Wei Zhou 028; Junhao Wen 001 (ICIC (19), 2025)

Multi-view collaborative signal fusion and representation property optimization for recommendation. - Pengfan Chen; Wei Zhou 028; Yao Chang; Jun Zeng 003; Junhao Wen 001 (Eng. Appl. Artif. Intell., 2025)

Learning robust travel preferences via check-in masking for next POI recommendation. - Chenghua Duan; Junhao Wen 001; Wei Zhou 028; Jun Zeng 003; Yihao Zhang 002 (Expert Syst. Appl., 2025)

Disentangling Long- and Short-term Preferences Based on Latent Commonalities Enhancement for Next Point-of-Interest Recommendation. - Qing Zhang; Xiao Huang; Qi Zhang 009; Wei Zhou 028; Junhao Wen 001 (Expert Syst. Appl., 2025)

Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation. - Wei Zhou 028; Xianyi Zhang; Junhao Wen 001; Xibin Wang (Expert Syst. Appl., 2025)

MCKP: Multi-aspect contextual knowledge-enhanced prompting for conversational recommender systems. - Yulin Wang; Yihao Zhang 002; Junlin Zhu; Yao Li; Wei Zhou 028 (Inf. Sci., 2025)

Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. - Shuang Ni; Wei Zhou 028; Fengji Luo; Yihao Zhang 002; Jun Zeng 003; Junhao Wen 001 (Knowl. Based Syst., 2025)

Adversarial regularized diffusion model for fair recommendations. - Ran Yang; Yihao Zhang 002; Kaibei Li; Qinyang He; Xiaokang Li; Wei Zhou 028 (Neural Networks, 2025)

Simplified self-supervised learning for hybrid propagation graph-based recommendation. - Jianing Zhou; Jie Liao; Xi Zhu; Junhao Wen 001; Wei Zhou 028 (Neural Networks, 2025)

MA-GCL4SR: Improving Graph Contrastive Learning-Based Sequential Recommendation with Model Augmentation. - Chun-Yan Sang; Ming Gong; Shigen Liao; Wei Zhou 028 (ACM Trans. Knowl. Discov. Data, 2025)

DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation. - Yue Li; Jun Zeng 003; Haoran Tang; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (IEEE Trans. Serv. Comput., 2025)

Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation. - Junhui Niu; Wei Zhou 028; Fengji Luo; Yihao Zhang 002; Jun Zeng 003; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2025)

Next PoI Recommendation Based on Graph Convolutional Networks and Multiple Context-Awareness. - Wei Zhou 028; Cheng Fu; Chunyan Sang; Min Gao 001; Junhao Wen 001 (IEEE Trans. Serv. Comput., 2025)

Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks. - Wei Zhou 028; Chenzhan Wang; Fengji Luo; Yu Wang 267; Min Gao 001; Junhao Wen 001 (IEEE Trans. Comput. Soc. Syst., 2025)

Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. - Shutong Qiao; Wei Zhou 028; Junhao Wen 001; Chen Gao 001; Qun Luo; Peixuan Chen; Yong Li 008 (ACM Trans. Inf. Syst., 2025)

Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation. - Kaibei Li; Yihao Zhang 002; Xiaokang Li; Meng Yuan; Wei Zhou 028 (IEEE Trans. Knowl. Data Eng., 2025)