Wei Zhou

According to our database, Wei Zhou authored at least 65 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MCKP: Multi-aspect contextual knowledge-enhanced prompting for conversational recommender systems.

Yulin Wang, Yihao Zhang, Junlin Zhu, Yao Li, Wei Zhou

Inf. Sci., 2025

Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation.

Wei Zhou, Xianyi Zhang, Junhao Wen, Xibin Wang

Expert Syst. Appl., 2025

2024

EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection.

Yinqiu Huang, Min Gao, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou

ACM Trans. Knowl. Discov. Data, September, 2024

Multiple hypergraph convolutional network social recommendation using dual contrastive learning.

Hongyu Wang, Wei Zhou, Junhao Wen, Shutong Qiao

Data Min. Knowl. Discov., July, 2024

Mixed-curvature knowledge-enhanced graph contrastive learning for recommendation.

Yihao Zhang, Junlin Zhu, Ruizhen Chen, Weiwen Liao, Yulin Wang, Wei Zhou

Expert Syst. Appl., March, 2024

Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning.

Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen

IEEE Trans. Serv. Comput., 2024

CBRec: A causal way balancing multidimensional attraction effect in POI recommendations.

Bo Liu, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou

Knowl. Based Syst., 2024

SFL: A semantic-based federated learning method for POI recommendation.

Xunan Dong, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou

Inf. Sci., 2024

SCFL: Spatio-temporal consistency federated learning for next POI recommendation.

Lin Zhong, Jun Zeng, Ziwei Wang, Wei Zhou, Junhao Wen

Inf. Process. Manag., 2024

Conversational recommender based on graph sparsification and multi-hop attention.

Yihao Zhang, Yuhao Wang, Wei Zhou, Pengxiang Lan, Haoran Xiang, Junlin Zhu, Meng Yuan

Intell. Data Anal., 2024

LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation.

Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li

CoRR, 2024

Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning.

Hu Liu, Xuanyu Lu, Wei Zhou, Junhao Wen

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection.

Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation.

Yihao Zhang, Chu Zhao, Weiwen Liao, Wei Zhou, Meng Yuan

ACM Trans. Intell. Syst. Technol., December, 2023

Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations.

Yulin Wang, Yihao Zhang, Junlin Zhu, Weiwen Liao, Meng Yuan, Wei Zhou

Knowl. Based Syst., December, 2023

An early warning method for abnormal behavior of college students based on multimodal fusion and improved decision tree.

Yubiao Wang, Junhao Wen, Wei Zhou, Bamei Tao, Quanwang Wu, Chunlei Fu, Heng Li

J. Intell. Fuzzy Syst., November, 2023

Noise-reducing graph neural network with intent-target co-action for session-based recommendation.

Shutong Qiao, Wei Zhou, Fengji Luo, Junhao Wen

Inf. Process. Manag., November, 2023

Point-of-interest Recommendation using Deep Semantic Model.

Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou

Expert Syst. Appl., November, 2023

Deep adaptive collaborative graph neural network for social recommendation.

Liping Wang, Wei Zhou, Ling Liu, Zhengyi Yang, Junhao Wen

Expert Syst. Appl., November, 2023

Feature-based POI grouping with transformer for next point of interest recommendation.

Yuhang He, Wei Zhou, Fengji Luo, Min Gao, Junhao Wen

Appl. Soft Comput., November, 2023

Enhanced contrastive learning with multi-aspect information for recommender systems.

Linfeng Hu, Wei Zhou, Fengji Luo, Shuang Ni, Junhao Wen

Knowl. Based Syst., October, 2023

IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation.

Yuhang Chang, Wei Zhou, Junhao Wen

Expert Syst. Appl., October, 2023

Knowledge Enhanced Graph Neural Networks for Explainable Recommendation.

Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou

IEEE Trans. Knowl. Data Eng., May, 2023

Enhancing sequential recommendation with contrastive Generative Adversarial Network.

Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao

Inf. Process. Manag., May, 2023

Meta-relation assisted knowledge-aware coupled graph neural network for recommendation.

Yao Chang, Wei Zhou, Haini Cai, Wei Fan, Linfeng Hu, Junhao Wen

Inf. Process. Manag., May, 2023

Multi-perspective enhanced representation for effective session-based recommendation.

Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Wang, Linfeng Hu, Shuang Ni

Knowl. Based Syst., March, 2023

LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network.

Xinyu Xiao, Wei Zhou, Junhao Wen

Inf. Sci., 2023

Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems.

Linfeng Hu, Junhao Wen, Hanwen Zhang, Wei Zhou, Hongyu Wang

Intell. Data Anal., 2023

Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation.

Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation.

Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Individual Diversity Preference Aware Neural Collaborative Filtering.

Guanzhong Liang, Junhao Wen, Wei Zhou

Knowl. Based Syst., 2022

SocialLGN: Light graph convolution network for social recommendation.

Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen, Min Gao, Xiuhua Li, Jun Zeng

Inf. Sci., 2022

Multi-interaction fusion collaborative filtering for social recommendation.

Xinyu Xiao, Junhao Wen, Wei Zhou, Fengji Luo, Min Gao, Jun Zeng

Expert Syst. Appl., 2022

BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model.

Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou, Junhao Wen

EURASIP J. Wirel. Commun. Netw., 2022

A cloud service recommendation method based on extended multi-source information fusion.

Yubiao Wang, Junhao Wen, Wei Zhou, Xibin Wang, Quanwang Wu, Bamei Tao

Concurr. Comput. Pract. Exp., 2022

ISANET: Non-small cell lung cancer classification and detection based on CNN and attention mechanism.

Zhiwen Xu, Haijun Ren, Wei Zhou, Zhichao Liu

Biomed. Signal Process. Control., 2022

Ada: Adversarial learning based data augmentation for malicious users detection.

Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen

Appl. Soft Comput., 2022

Interest-Aware Contrastive-Learning-Based GCN for Recommendation.

Chuan Lin, Wei Zhou, Junhao Wen

IEEE Access, 2022

LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation.

Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Leveraging GCN and User Friendship for Next POI Recommendation.

Cheng Fu, Wei Zhou, Junhao Wen, Xiangxing Guo, Yuhang Chang

Proceedings of the 5th International Conference on Machine Learning and Natural Language Processing, 2022

Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions.

Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen

Proceedings of the International Joint Conference on Neural Networks, 2022

Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation.

Guanzhong Liang, Jie Liao, Wei Zhou, Junhao Wen

Proceedings of the IEEE International Conference on Web Services, 2022

A Flow Prediction Model of Bike-Sharing Based on Cycling Context.

Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2021

Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing.

Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao

Proceedings of the International Joint Conference on Neural Networks, 2021

GRU with Level-Aware Attention for Rumor Early Detection in Social Networks.

Yu Wang, Wei Zhou, Junhao Wen, Jun Zeng, Haoran He, Lin Liu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

The Missing POI Completion Based on Bidirectional Masked Trajectory Model.

Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System.

Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao

Proceedings of the IEEE International Conference on Services Computing, 2021

2020

Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey.

Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Wei Zhou

IEEE Access, 2020

2019

A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis.

Yubiao Wang, Junhao Wen, Xibin Wang, Bamei Tao, Wei Zhou

Secur. Commun. Networks, 2019

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.

Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou

Neural Networks, 2019

Advanced community question answering by leveraging external knowledge and multi-task learning.

Min Yang, Wenting Tu, Qiang Qu, Wei Zhou, Qiao Liu, Jia Zhu

Knowl. Based Syst., 2019

A trust-based evaluation model for data privacy protection in cloud computing.

Yubiao Wang, Junhao Wen, Wei Zhou

Int. J. High Perform. Comput. Netw., 2019

A Cloud Service Selection Method Based on Trust and User Preference Clustering.

Yubiao Wang, Junhao Wen, Wei Zhou, Bamei Tao, Quanwang Wu, Zhiyong Tao

IEEE Access, 2019

Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition.

Tian Chen, Junhao Wen, Qingyu Xiong, Jun Zeng, Wei Zhou, Xueyuan Cai

IEEE Access, 2019

From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System.

Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou

Proceedings of the International Joint Conference on Neural Networks, 2019

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.

Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A Point-of-Interest recommendation method using user similarity.

Jun Zeng, Xin He, Yinghua Li, Junhao Wen, Wei Zhou

Web Intell., 2018

A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing.

Yubiao Wang, Junhao Wen, Wei Zhou, Fengji Luo

Proceedings of the 17th IEEE International Conference On Trust, 2018

2017

A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks.

Jun Zeng, Feng Li, Junhao Wen, Wei Zhou

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

2016

SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems.

Wei Zhou, Junhao Wen, Qingyu Xiong, Min Gao, Jun Zeng

Neurocomputing, 2016

Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series.

Wei Zhou, Junhao Wen, Qingyu Xiong, Jun Zeng, Ling Liu, Haini Cai, Tian Chen

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015

A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems.

Wei Zhou, Junhao Wen, Min Gao, Ling Liu, Haini Cai, Xibin Wang

Proceedings of the Knowledge Science, Engineering and Management, 2015

Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization.

Xibin Wang, Junhao Wen, Fengji Luo, Wei Zhou, Haijun Ren

Proceedings of the Knowledge Science, Engineering and Management, 2015

2014

Detection of abnormal profiles on group attacks in recommender systems.

Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Attack detection in recommender systems based on target item analysis.

Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014