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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 — Chinese Academy of Sciences, Xi'an Institute of Optics and Precision Mechanics, China (and 2 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)
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2020 – today
- 2025
- [j40]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) - 2024
- [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [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) - [c22]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 - [c21]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 - [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]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): 8405-8427 (2023) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [j18]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) - [c20]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 - [c19]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 - 2022
- [j17]Chuan Lin, Wei Zhou, Junhao Wen:
Interest-Aware Contrastive-Learning-Based GCN for Recommendation. IEEE Access 10: 126315-126325 (2022) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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
- [j9]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
- [j8]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) - [j7]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) - [j6]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) - [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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last updated on 2024-11-06 21:36 CET by the dblp team
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