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Wei Zhou 0028
Person information
- affiliation (PhD 2014): Chongqing University, School of Big Data and Software Engineering, China
Other persons with the same name
- Wei Zhou — disambiguation page
- Wei Zhou 0001
— ESCP Europe, Information & Operations Management, Paris, France (and 1 more) - Wei Zhou 0002
— Yunnan University of Finance and Economics, International Business School, Kunming, China - Wei Zhou 0003
— Shenyang Aerospace University, School of Computing, China (and 1 more) - Wei Zhou 0004
(aka: Wendy Zhou) — Colorado School of Mines, Department of Geology and Geological Engineering, Golden, CO, USA - Wei Zhou 0005
— The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong - Wei Zhou 0006 — University of Potsdam, Hasso-Plattner-Instute, Germany (and 1 more)
- Wei Zhou 0007
— Lund University, Department of Electrical and Information Technology, Sweden - Wei Zhou 0008
— Southwest University for Nationalities, College of Computer Science and Technology, Chengdu, China (and 2 more) - Wei Zhou 0009
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Wei Zhou 0010 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Wei Zhou 0011
— Yunnan University, School of Software, Kunming, China (and 1 more) - Wei Zhou 0012
— Northwest University, School of Information Science and Technology, Xi'an, China (and 3 more) - Wei Zhou 0013 — Huazhong University of Science and Technology, Wuhan National Laboratory for Optoelectronics, China
- Wei Zhou 0014 — Northwest A&F University, College of Life Science, Center for Bioinformatics, Yangling, China
- Wei Zhou 0015
— Western Sydney University, School of Engineering, Design and Built Environment, Australia (and 1 more) - Wei Zhou 0016 — Universität Paderborn, Germany
- Wei Zhou 0017
— Chongqing University of Science and Technology, College of Electronic and Information Engineering, China - Wei Zhou 0018
— Weifang Medical University, Network Information Center, China - Wei Zhou 0019
— Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China - Wei Zhou 0020
— Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China - Wei Zhou 0021
— Cardiff University, School of Computer Science and Informatics, UK (and 2 more) - Wei Zhou 0022
— Nanjing University of Aeronautics and Astronautics, College of Astronautics, China - Wei Zhou 0023
— Harbin Institute of Technology, Department of Electronic Engineering, Key Laboratory of Marine Environmental Monitoring and Information Processing, China - Wei Zhou 0024
— Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China (and 1 more) - Wei Zhou 0025
— University of Sydney, Australian Centre for Field Robotics, NSW, Australia - Wei Zhou 0026
— University of Chinese Academy of Sciences, National Computer Network Intrusion Protection Center, Beijing, China - Wei Zhou 0027
— Xiangtan University, College of Information Engineering, China - Wei Zhou 0029 — University of Waterloo, David R. Cheriton School of Computer Science, ON, Canada
- Wei Zhou 0030
— Central South University, School of Traffic and Transportation Engineering, Research Laboratory of Key Technology for Rail Traffic Safety, Changsha, China - Wei Zhou 0031
— Shanghai Jiao Tong University, School of Mechanical Engineering, China - Wei Zhou 0032
— Leiden University Medical Center, Department of Biomedical Data Sciences, The Netherlands (and 1 more) - Wei Zhou 0033
— Lanzhou Jiaotong University, School of Mathematics and Physics / Research Centre of Game Theory and Economics Mathematics, China - Wei Zhou 0034
— China University of Mining and Technology, State Key Laboratory of Coal Resources and Safe Mining, Xuzhou, China - Wei Zhou 0035
— Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Key Laboratory of Image Processing and Intelligent Control, Wuhan, China - Wei Zhou 0036
— A*STAR, Institute of Microelectronics, Singapore (and 1 more) - Wei Zhou 0037
— ShanghaiTech University, School of Information Science and Technology, China (and 1 more) - Wei Zhou 0038
— China University of Geosciences, School of Land Science and Technology, Beijing, China - Wei Zhou 0039
— National University of Defense Technology, College of System Engineering, Changsha, China - Wei Zhou 0040
— Southeast University, School of Transportation, Nanjing, China - Wei Zhou 0041
— North China University of Science and Technology Affiliated Hospital, Tangshan, China - Wei Zhou 0042
— Sun Yat-sen University, School of Electronics and Information Technology, Guangzhou, China (and 1 more) - Wei Zhou 0043
— RWTH Aachen University, Computer Science Department, Human Language Technology and Pattern Recognition,, Germany (and 1 more) - Wei Zhou 0044
— Swinburne University of Technology, Australia - Wei Zhou 0045
— Lyceum of the Philippines University, Manila, Philippines - Wei Zhou 0046
— China Mobile Group Design Institute Co., Ltd., Beijing, China - Wei Zhou 0047
— Tongji University, School of Electronic and Information Engineering, Shanghai, China - Wei Zhou 0048
— Northwestern Polytechnical University, School of Electronic Information, Xi'an, China - Wei Zhou 0049
— Qingdao University, Department of Student Affairs, China - Wei Zhou 0050
— Peking University First Hospital, Department of Rheumatology and Clinical Immunology, Beijing, China - Wei Zhou 0051
— Jilin University, College of Computer Science and Technology, Changchun, China - Wei Zhou 0052
— China Automotive Technology and Research Center (CATARC), Beijing, China (and 1 more) - Wei Zhou 0053
— Shanghai Jiao Tong University, China - Wei Zhou 0054
— Guangzhou University, Guangzhou, School of Electronics and Communication Engineering, Key Laboratory of Si-Based Information Materials and Devices and Integrated Circuits Design, China - Wei Zhou 0055
— Guangdong Power Grid Co. Ltd., Power Dispatching and Controlling Center, China - Wei Zhou 0056
— Jiangsu Vocational Institute of Commerce, China - Wei Zhou 0057
— Suzhou University, Suzhou School of Information Engineering, China - Wei Zhou 0058
— Tsinghua Shenzhen International Graduate School, China (and 1 more) - Wei Zhou 0059
— Wuhan University, School of Political Science and Public Administration, China - Wei Zhou 0060
— Nanyang Technological University, School of Mechanical and Aerospace Engineering, Singapore - Wei Zhou 0061
— China University of Geosciences, School of Computer Science, Wuhan, China - Wei Zhou 0062
— Agricultural University of Hebei, College of Food Science and Technology, Baoding, China (and 1 more) - Wei Zhou 0063
— Nanjing University of Information Science and Technology, School of Future Technology, Jiangsu Provincial Key Laboratory of Intelligent Medical Image Computing, China (and 1 more) - Wei Zhou 0064
— Zhejiang University, Hangzhou, China - Wei Zhou 0065
— Wuhan University of Science and Technology, School of Information Science and Engineering, China - Wei Zhou 0066
— Beijing Jiaotong University, School of Economics and Management, China - Wei Zhou 0067
— Bosch Center for Artificial Intelligence, Renningen, Germany (and 1 more) - Wei Zhou 0068
— Huawei Technologies Co. Ltd., Cloud BU, Shenzhen, China - Wei Zhou 0069
— Hebei University, School of Quality and Technical Supervision, Baoding, China (and 1 more) - Wei Zhou 0070
— Siemens Technology, Wuhan, China - Wei Zhou 0071
— Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China - Wei Zhou 0072
— Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, China - Wei Zhou 0073
— Xiamen University, Institute of Micro-Nano Science and Technology, China (and 1 more) - Wei Zhou 0074
— Huaibei Normal University, China - Wei Zhou 0075
— Ling Yang Industrial Internet Company Ltd., Anhui, China (and 1 more) - Wei Zhou 0076
— China Academy of Information and Communications Technology, Mobile Communications Innovation Center, Beijing, China - Wei Zhou 0077
— University of Southern California, Los Angeles, CA, USA - Wei Zhou 0078
— Nanchang Institute of Technology, College of Information Engineering, China - Wei Zhou 0079
— Guilin University of Electronic Technology, School of Information and Communication, China - Wei Zhou 0080
— Massachusetts General Hospital, Broad Institute, Boston, MA, USA - Wei Zhou 0081
— Beijing Jiaotong University, School of Computer Science and Technology, China - Wei Zhou 0082
— China Electric Power Research Institute, Wuhan, China - Wei Zhou 0083
— University of California San Diego, Department of Mechanical and Aerospace Engineering, La Jolla, CA, USA - Wei Zhou 0084
— Virginia Polytechnic Institute and State University, Department of Electrical and Computer Engineering, Blacksburg, VA, USA - Wei Zhou 0085
— Southwest Jiaotong University, Institute of Artificial Intelligence, School of Computing and Artificial Intelligence, Chengdu, China - Wei Zhou 0086
— University of Arizona, College of Management, Department of Economics, Tucson, AZ, USA - Wei Zhou 0087
— Beijing University of Posts and Telecommunications, China - Wei Zhou 0088
— Nanjing University of Science and Technology, School of Automation, China (and 1 more) - Wei Zhou 0089
— Southwest University, School of Geographical Sciences, Chongqing, China (and 1 more) - Wei Zhou 0090
— Sun Yat-sen University, School of Intelligent Systems Engineering, Shenzhen, China - Wei Zhou 0091
— Xi'an University of Technology, China - Wei Zhou 0092
— Zhejiang Institute of Economics and Trade, School of Business Administration, Hangzhou, China - Wei Zhou 0093
— Hebei University of Technology, School of Mechanical Engineering, Tianjin, China - Wei Zhou 0094
— Huazhong Agricultural University, College of Veterinary Medicine, State Key Laboratory of Agricultural Microbiology, Wuhan, China - Wei Zhou 0095
— Dalian University of Technology, School of Control Science and Engineering, MOE Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, China (and 1 more) - Wei Zhou 0096
— Soochow University, School of Mechanical and Electrical Engineering, China - Wei Zhou 0097
— Chinese Academy of Sciences, South China Sea Institute of Oceanology, Guangzhou, China - Wei Zhou 0098
— Naval University of Engineering, College of Electrical Engineering, Wuhan, China - Wei Zhou 0099
— Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, MOE Key Laboratory of Image Processing and Intelligent Control, Wuhan, China - Wei Zhou 0100
— National University of Defense Technology, College of Electronic Science and Technology, Changsha, China - Wei Zhou 0101
— Zhejiang University, Hangzhou, China - Wei Zhou 0102
— Anhui University, School of Computer Science and Technology, Hefei, China - Wei Zhou 0103
— Zaozhuang University, Department of Economy and Management, China - Wei Zhou 0104
— Shandong University, Geotechnical and Structural Engineering Research Center, School of Qilu Transportation, Jinan, China - Wei Zhou 0105
— China Nuclear Power Engineering Company, Ltd, Shenzhen, China - Wei Zhou 0106
— King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
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2020 – today
- 2026
[j69]Ran Yang
, Yihao Zhang
, Kaibei Li
, Qinyang He
, Xiaokang Li
, Wei Zhou
:
Bifurcated adversarial networks for intersectional fairness in graph neural network recommendations. Eng. Appl. Artif. Intell. 167: 113839 (2026)
[j68]Bo Liu
, Jun Zeng
, Haoran Tang
, Junhao Wen
, Min Gao
, Wei Zhou
:
AGSRec: Mitigating popularity bias via attraction-aware graph and semantic enhancement for POI recommendations. Expert Syst. Appl. 301: 130298 (2026)
[j67]Jiangchuan Liu
, Yihao Zhang
, Qinyang He
, Ran Yang, Xibin Wang
, Wei Zhou
:
Prototype learning based hierarchical decoupling for multimodal recommendation. Expert Syst. Appl. 304: 130763 (2026)
[j66]Shuhui Shan
, Chunhui Han
, Wei Zhou
, Guanghui Sun
, Junhao Wen
:
Multi-cluster division fine-grained heterogeneous graph contrastive learning for multi-behavior recommendation. Expert Syst. Appl. 306: 130949 (2026)
[j65]Chenghao Li
, Wei Zhou
, Yihao Zhang
, Jiahao Hu
, Huayi Shen
, Junhao Wen
:
MSCF-net: Multi-scale frequency denoising and co-frequency enhancement network for multimodal recommendation. Expert Syst. Appl. 309: 131159 (2026)
[j64]Qi Zhang, Qing Zhang, Jin Xu, Wei Zhou, Junhao Wen:
Multi-channel next point-of-interest recommendation with user multi-dimensional preferences. Expert Syst. Appl. 313: 131500 (2026)
[j63]Shuangdi Ma, Wei Zhou, Jun Zeng, Junhao Wen, Luwen Huangfu:
DCE-MBR: Multi-behavior recommendation via hierarchical denoising and cascade enhancement. Expert Syst. Appl. 315: 131701 (2026)
[j62]Qilin Zhou, Jinkang Ye, Wei Zhou, Junhao Wen
:
Multi-scale hypergraph representation learning with channel attention for next POI recommendation. Neurocomputing 660: 131908 (2026)
[j61]Hu Liu, Chunhui Han, Wei Zhou, Junhao Wen:
Hierarchical contrastive frequency-enhanced polynomial graph collaborative filtering for recommendation. Neurocomputing 677: 133106 (2026)
[j60]Yongjian Zhou, Wei Zhou, Luwen Huangfu, Jun Zeng, Tingyue He, Junhao Wen:
Multi-granularity preference enhancement with hierarchical feature extraction for session-based recommendations. Neural Networks 200: 108766 (2026)- 2025
[j59]Pengfan Chen
, Wei Zhou
, Yao Chang, Jun Zeng, Junhao Wen
:
Multi-view collaborative signal fusion and representation property optimization for recommendation. Eng. Appl. Artif. Intell. 144: 110085 (2025)
[j58]Wei Zhou
, Xianyi Zhang
, Junhao Wen
, Xibin Wang:
Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation. Expert Syst. Appl. 264: 125812 (2025)
[j57]Chenghua Duan
, Junhao Wen
, Wei Zhou
, Jun Zeng, Yihao Zhang
:
Learning robust travel preferences via check-in masking for next POI recommendation. Expert Syst. Appl. 267: 126106 (2025)
[j56]Qing Zhang
, Xiao Huang, Qi Zhang, Wei Zhou
, Junhao Wen
:
Disentangling Long- and Short-term Preferences Based on Latent Commonalities Enhancement for Next Point-of-Interest Recommendation. Expert Syst. Appl. 284: 127850 (2025)
[j55]Yulin Wang, Yihao Zhang
, Junlin Zhu, Yao Li, Wei Zhou:
MCKP: Multi-aspect contextual knowledge-enhanced prompting for conversational recommender systems. Inf. Sci. 686: 121315 (2025)
[j54]Chenghua Duan, Wei Zhou
, Yuhang He, Junhao Wen:
User multi-dimensional prior preferences adaptive balancing based next POI recommendation. Knowl. Inf. Syst. 67(12): 11455-11479 (2025)
[j53]Shuang Ni
, Wei Zhou
, Fengji Luo, Yihao Zhang
, Jun Zeng, Junhao Wen
:
Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation. Knowl. Based Syst. 324: 113606 (2025)
[j52]Qinyang He
, Kaibei Li
, Yihao Zhang
, Xiaokang Li
, Wei Zhou
:
Smooth diffusion model for multimodal recommendation. Knowl. Based Syst. 331: 114807 (2025)
[j51]Jianing Zhou, Jie Liao
, Xi Zhu, Junhao Wen
, Wei Zhou:
Simplified self-supervised learning for hybrid propagation graph-based recommendation. Neural Networks 185: 107145 (2025)
[j50]Ran Yang, Yihao Zhang
, Kaibei Li
, Qinyang He, Xiaokang Li, Wei Zhou:
Adversarial regularized diffusion model for fair recommendations. Neural Networks 190: 107695 (2025)
[j49]Wei Zhou
, Chenzhan Wang
, Fengji Luo
, Yu Wang
, Min Gao
, Junhao Wen
:
Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks. IEEE Trans. Comput. Soc. Syst. 12(2): 818-831 (2025)
[j48]Chun-Yan Sang
, Ming Gong
, Shigen Liao
, Wei Zhou
:
MA-GCL4SR: Improving Graph Contrastive Learning-Based Sequential Recommendation with Model Augmentation. ACM Trans. Knowl. Discov. Data 19(5): 1-21 (2025)
[j47]Kaibei Li
, Yihao Zhang
, Xiaokang Li
, Meng Yuan
, Wei Zhou
:
Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation. IEEE Trans. Knowl. Data Eng. 37(9): 5407-5419 (2025)
[j46]Shutong Qiao
, Wei Zhou
, Junhao Wen
, Chen Gao
, Qun Luo
, Peixuan Chen
, Yong Li
:
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation. ACM Trans. Inf. Syst. 43(4): 91:1-91:25 (2025)
[j45]Junhui Niu, Wei Zhou
, Fengji Luo
, Yihao Zhang
, Jun Zeng
, Junhao Wen
:
Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation. IEEE Trans. Serv. Comput. 18(1): 212-225 (2025)
[j44]Wei Zhou
, Cheng Fu, Chunyan Sang
, Min Gao
, Junhao Wen
:
Next PoI Recommendation Based on Graph Convolutional Networks and Multiple Context-Awareness. IEEE Trans. Serv. Comput. 18(1): 302-313 (2025)
[j43]Yue Li
, Jun Zeng
, Haoran Tang
, Junhao Wen
, Min Gao
, Wei Zhou
:
DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation. IEEE Trans. Serv. Comput. 18(4): 2024-2037 (2025)
[j42]Huayi Shen
, Wei Zhou
, Fengji Luo
, Xuhan Zhou
, Jun Zeng
, Junhao Wen
:
Spatio-Temporal Intent Modeling for Sequential Recommendation. IEEE Trans. Serv. Comput. 18(6): 4181-4193 (2025)
[c31]Jiaming Li, Yukun Chen, Ziqiang Liu, Minghuan Tan, Lei Zhang, Yunshui Li, Run Luo, Longze Chen, Jing Luo, Ahmadreza Argha, Hamid Alinejad-Rokny, Wei Zhou, Min Yang:
STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation. ACL (Findings) 2025: 20818-20846
[c30]Xiao Huang, Wu Chen, Wei Zhou
:
Class-wise Adaptive Logits Distillation with Meta-Learning. ICASSP 2025: 1-5
[c29]Xuhan Zhou, Qitong Zhao, Wei Zhou, Junhao Wen:
Global-Local Collaborative Learning for Intent-Aware Sequential Recommendation. ICIC (8) 2025: 51-62
[c28]Peixuan Sun
, Zhida Zheng, Yuhan Yang
, Wei Zhou
, Junhao Wen
:
Dual-Perspective Modeling: Interest Trend-Detection and Diversity-Aware for Multi-behavior Sequential Recommendation. ICIC (19) 2025: 331-342
[c27]Yuchao Chen, Xiangyuan Jiang, Yiheng Xu, Wei Zhou
:
Modality Perception Network for Multi-modal Rumor Detection. ICIC (1) 2025: 354-365
[c26]Jiayin Luo
, Yuxin Ma, Xinkui Zhao
, Wei Zhou
, Jianwei Yin
:
Bridging Service Diversity and CPU Heterogeneity Through Program Similarity-Driven Scheduling. ICSOC (2) 2025: 107-121
[i4]Tao Huang, Yihong Chen, Wei Fan, Wei Zhou, Junhao Wen:
Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation. CoRR abs/2505.09590 (2025)
[i3]Jiaming Li, Yukun Chen, Ziqiang Liu, Minghuan Tan, Lei Zhang, Yunshui Li, Run Luo, Longze Chen, Jing Luo, Ahmadreza Argha, Hamid Alinejad-Rokny, Wei Zhou, Min Yang:
STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation. CoRR abs/2506.02347 (2025)
[i2]Juntao Hu
, Wei Zhou, Huayi Shen, Xiao Du, Jie Liao, Junhao Wen, Min Gao:
Gated Rotary-Enhanced Linear Attention for Long-term Sequential Recommendation. CoRR abs/2506.13315 (2025)- 2024
[j41]Hongyu Wang, Wei Zhou
, Junhao Wen, Shutong Qiao:
Multiple hypergraph convolutional network social recommendation using dual contrastive learning. Data Min. Knowl. Discov. 38(4): 1929-1957 (2024)
[j40]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): 121569 (2024)
[j39]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): 99-119 (2024)
[j38]Ziyi Xiao
, Yueyang Wang
, Gang Tan, Dandan He, Jianing Li, Wei Zhou
:
SCML-GNN: A Graph Neural Network Model Leveraging Sensor Causality and Meta-Learning for Mechanical Fault Classification. Int. J. Pattern Recognit. Artif. Intell. 38(15): 2456011:1-2456011:28 (2024)
[j37]Lin Zhong, Jun Zeng, Ziwei Wang
, Wei Zhou
, Junhao Wen:
SCFL: Spatio-temporal consistency federated learning for next POI recommendation. Inf. Process. Manag. 61(6): 103852 (2024)
[j36]Xunan Dong, Jun Zeng
, Junhao Wen, Min Gao, Wei Zhou
:
SFL: A semantic-based federated learning method for POI recommendation. Inf. Sci. 679: 121057 (2024)
[j35]Bo Liu
, Jun Zeng
, Junhao Wen, Min Gao, Wei Zhou:
CBRec: A causal way balancing multidimensional attraction effect in POI recommendations. Knowl. Based Syst. 305: 112607 (2024)
[j34]Yinqiu Huang
, Min Gao
, Kai Shu
, Chenghua Lin
, Jia Wang
, Wei Zhou
:
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection. ACM Trans. Knowl. Discov. Data 18(8): 185:1-185:25 (2024)
[j33]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): 921-933 (2024)
[c25]Xinyu Zhang, Zixin Chang, Li Li, Wei Zhou, Junhao Wen:
Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features. APSEC 2024: 11-20
[c24]Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou:
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection. ICASSP 2024: 12541-12545
[c23]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: 287-299
[c22]Yingjia Xiang, Xuanyu Lu, Wei Zhou, Junhao Wen:
ALGIN: Adaptive Local and Global Interests Network for Click-Through Rate Prediction. SMC 2024: 2186-2193
[i1]Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li:
LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation. CoRR abs/2402.13840 (2024)- 2023
[j32]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: 110754 (2023)
[j31]Yuhang Chang, Wei Zhou
, Junhao Wen:
IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation. Expert Syst. Appl. 228: 120321 (2023)
[j30]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): 120410 (2023)
[j29]Ziwei Wang
, Jun Zeng
, Junhao Wen, Min Gao
, Wei Zhou:
Point-of-interest Recommendation using Deep Semantic Model. Expert Syst. Appl. 231: 120727 (2023)
[j28]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): 691-708 (2023)
[j27]Shuang Ni
, Wei Zhou
, Junhao Wen
, Linfeng Hu, Shutong Qiao
:
Enhancing sequential recommendation with contrastive Generative Adversarial Network. Inf. Process. Manag. 60(3): 103331 (2023)
[j26]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): 103353 (2023)
[j25]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): 103517 (2023)
[j24]Xinyu Xiao, Wei Zhou
, Junhao Wen:
LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network. Inf. Sci. 642: 119138 (2023)
[j23]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: 110284 (2023)
[j22]Linfeng Hu
, Wei Zhou
, Fengji Luo, Shuang Ni, Junhao Wen:
Enhanced contrastive learning with multi-aspect information for recommender systems. Knowl. Based Syst. 277: 110825 (2023)
[j21]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: 111129 (2023)
[j20]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): 100:1-100:24 (2023)
[j19]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): 4954-4968 (2023)
[c21]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: 473-482
[c20]Shutong Qiao
, Wei Zhou
, Junhao Wen
, Hongyu Zhang
, Min Gao
:
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation. CIKM 2023: 2075-2084
[c19]Pengxiang Lan, Yihao Zhang
, Haoran Xiang, Yuhao Wang, Wei Zhou:
Spatio-Temporal Position-Extended and Gated-Deep Network for Next POI Recommendation. DASFAA (2) 2023: 505-520- 2022
[j18]Chuan Lin, Wei Zhou
, Junhao Wen
:
Interest-Aware Contrastive-Learning-Based GCN for Recommendation. IEEE Access 10: 126315-126325 (2022)
[j17]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: 108414 (2022)
[j16]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: 103773 (2022)
[j15]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)
[j14]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): 53 (2022)
[j13]Xinyu Xiao
, Junhao Wen
, Wei Zhou
, Fengji Luo, Min Gao
, Jun Zeng:
Multi-interaction fusion collaborative filtering for social recommendation. Expert Syst. Appl. 205: 117610 (2022)
[j12]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: 595-607 (2022)
[j11]Guanzhong Liang
, Junhao Wen
, Wei Zhou
:
Individual Diversity Preference Aware Neural Collaborative Filtering. Knowl. Based Syst. 258: 109730 (2022)
[c18]Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen:
A Flow Prediction Model of Bike-Sharing Based on Cycling Context. CollaborateCom (1) 2022: 73-92
[c17]Guanzhong Liang
, Jie Liao
, Wei Zhou
, Junhao Wen
:
Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation. ICWS 2022: 27-36
[c16]Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen:
Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions. IJCNN 2022: 1-8
[c15]Cheng Fu
, Wei Zhou
, Junhao Wen
, Xiangxing Guo
, Yuhang Chang
:
Leveraging GCN and User Friendship for Next POI Recommendation. MLNLP 2022: 222-228
[c14]Lin Liu, Wei Zhou
, Junhao Wen
, Yihao Zhang
, Yu Wang, Hanwen Zhang:
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. PAKDD (1) 2022: 81-92- 2021
[c13]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: 71-78
[c12]Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou:
The Missing POI Completion Based on Bidirectional Masked Trajectory Model. CollaborateCom (1) 2021: 229-243
[c11]Yu Wang, Wei Zhou
, Junhao Wen
, Jun Zeng, Haoran He, Lin Liu:
GRU with Level-Aware Attention for Rumor Early Detection in Social Networks. ICONIP (2) 2021: 548-559
[c10]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: 1-8- 2020
[j10]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: 47118-47132 (2020)
2010 – 2019
- 2019
[j9]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: 62221-62230 (2019)
[j8]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: 110279-110292 (2019)
[j7]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): 147-156 (2019)
[j6]Wei Zhou
, P. Y. Mok
, Yanghong Zhou
, Yangping Zhou, Jialie Shen, Qiang Qu
, K. P. Chau:
Fashion recommendations through cross-media information retrieval. J. Vis. Commun. Image Represent. 61: 112-120 (2019)
[j5]Min Yang, Wenting Tu, Qiang Qu
, Wei Zhou, Qiao Liu
, Jia Zhu
:
Advanced community question answering by leveraging external knowledge and multi-task learning. Knowl. Based Syst. 171: 106-119 (2019)
[j4]Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou
:
Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. Neural Networks 117: 240-248 (2019)
[j3]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: 2437062:1-2437062:11 (2019)
[c9]Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou
, Ying Shen:
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. IJCAI 2019: 5349-5355
[c8]Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou:
From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System. IJCNN 2019: 1-8- 2018
[j2]Jun Zeng, Xin He, Yinghua Li
, Junhao Wen, Wei Zhou:
A Point-of-Interest recommendation method using user similarity. Web Intell. 16(2): 105-112 (2018)
[c7]Yubiao Wang, Junhao Wen, Wei Zhou, Fengji Luo:
A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing. TrustCom/BigDataSE 2018: 10-15- 2017
[c6]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: 232-242- 2016
[j1]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: 197-205 (2016)
[c5]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: 373-383- 2015
[c4]Xibin Wang, Junhao Wen, Fengji Luo, Wei Zhou, Haijun Ren:
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization. KSEM 2015: 489-495
[c3]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: 751-763- 2014
[c2]Wei Zhou
, Junhao Wen, Yun Sing Koh
, Shafiq Alam
, Gillian Dobbie:
Attack detection in recommender systems based on target item analysis. IJCNN 2014: 332-339
[c1]Wei Zhou
, Yun Sing Koh
, Junhao Wen, Shafiq Alam
, Gillian Dobbie:
Detection of abnormal profiles on group attacks in recommender systems. SIGIR 2014: 955-958
Coauthor Index

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