Wei Zhou

108 papers A* 2A 3B 5C 5Misc 2Journal 77Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
AGSRec: Mitigating popularity bias via attraction-aware graph and semantic enhancement for POI recommendations.
Expert Syst. Appl.
Bo Liu, Jun Zeng, Haoran Tang, Junhao Wen, Min Gao, Wei Zhou
2026 J jnl
Bifurcated adversarial networks for intersectional fairness in graph neural network recommendations.
Eng. Appl. Artif. Intell.
Ran Yang, Yihao Zhang, Kaibei Li, Qinyang He, Xiaokang Li, Wei Zhou
2026 J jnl
DCE-MBR: Multi-behavior recommendation via hierarchical denoising and cascade enhancement.
Expert Syst. Appl.
Shuangdi Ma, Wei Zhou, Jun Zeng, Junhao Wen, Luwen Huangfu
2026 J jnl
Double Enhancement Framework for Long-Tail Recommendation.
IEEE Trans. Knowl. Data Eng.
Jie Liao, Wei Zhou, Junhao Wen, Min Gao, Jun Zeng, Min Yang
2026 J jnl
Generalizable zero-shot home energy management via representation learning and behavioral cloning.
Appl. Soft Comput.
Xiao Du, Fengji Luo, Juntao Hu, Wei Zhou, Junhao Wen
2026 J jnl
Hierarchical contrastive frequency-enhanced polynomial graph collaborative filtering for recommendation.
Neurocomputing
Hu Liu, Chunhui Han, Wei Zhou, Junhao Wen
2026 J jnl
Latent Diffusion Model for Social Recommendation.
IEEE Trans. Syst. Man Cybern. Syst.
Qinyang He, Yihao Zhang, Kaibei Li, Xiaokang Li, Wei Zhou
2026 J jnl
MSCF-net: Multi-scale frequency denoising and co-frequency enhancement network for multimodal recommendation.
Expert Syst. Appl.
Chenghao Li, Wei Zhou, Yihao Zhang, Jiahao Hu, Huayi Shen, Junhao Wen
2026 J jnl
Multi-channel next point-of-interest recommendation with user multi-dimensional preferences.
Expert Syst. Appl.
Qi Zhang, Qing Zhang, Jin Xu, Wei Zhou, Junhao Wen
2026 J jnl
Multi-cluster division fine-grained heterogeneous graph contrastive learning for multi-behavior recommendation.
Expert Syst. Appl.
Shuhui Shan, Chunhui Han, Wei Zhou, Guanghui Sun, Junhao Wen
2026 J jnl
Multi-granularity preference enhancement with hierarchical feature extraction for session-based recommendations.
Neural Networks
Yongjian Zhou, Wei Zhou, Luwen Huangfu, Jun Zeng, Tingyue He, Junhao Wen
2026 J jnl
Multi-scale hypergraph representation learning with channel attention for next POI recommendation.
Neurocomputing
Qilin Zhou, Jinkang Ye, Wei Zhou, Junhao Wen
2026 J jnl
Prototype learning based hierarchical decoupling for multimodal recommendation.
Expert Syst. Appl.
Jiangchuan Liu, Yihao Zhang, Qinyang He, Ran Yang, Xibin Wang, Wei Zhou
2026 J jnl
Representation-Enhanced Cascading Multi-Level Interest Learning for Multi-Behavior Recommendation.
ACM Trans. Inf. Syst.
Hu Liu, Xiao Huang, Wei Zhou, Fengji Luo, Junhao Wen, Hongyu Zhang
2025 J jnl
Adversarial regularized diffusion model for fair recommendations.
Neural Networks
Ran Yang, Yihao Zhang, Kaibei Li, Qinyang He, Xiaokang Li, Wei Zhou
2025 — conf
Bridging Service Diversity and CPU Heterogeneity Through Program Similarity-Driven Scheduling.
ICSOC (2)
Jiayin Luo, Yuxin Ma, Xinkui Zhao, Wei Zhou, Jianwei Yin
2025 Misc conf
Class-wise Adaptive Logits Distillation with Meta-Learning.
ICASSP
Xiao Huang, Wu Chen, Wei Zhou
2025 J jnl
Community-Enhanced Dynamic Graph Convolutional Networks for Rumor Detection on Social Networks.
IEEE Trans. Comput. Soc. Syst.
Wei Zhou, Chenzhan Wang, Fengji Luo, Yu Wang, Min Gao, Junhao Wen
2025 J jnl
DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation.
IEEE Trans. Serv. Comput.
Yue Li, Jun Zeng, Haoran Tang, Junhao Wen, Min Gao, Wei Zhou
2025 J jnl
Disentangling Long- and Short-term Preferences Based on Latent Commonalities Enhancement for Next Point-of-Interest Recommendation.
Expert Syst. Appl.
Qing Zhang, Xiao Huang, Qi Zhang, Wei Zhou, Junhao Wen
2025 J jnl
Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation.
CoRR
Tao Huang, Yihong Chen, Wei Fan, Wei Zhou, Junhao Wen
2025 — conf
Dual-Perspective Modeling: Interest Trend-Detection and Diversity-Aware for Multi-behavior Sequential Recommendation.
ICIC (19)
Peixuan Sun, Zhida Zheng, Yuhan Yang, Wei Zhou, Junhao Wen
2025 J jnl
Gated Rotary-Enhanced Linear Attention for Long-term Sequential Recommendation.
CoRR
Juntao Hu, Wei Zhou, Huayi Shen, Xiao Du, Jie Liao, Junhao Wen, Min Gao
2025 — conf
Global-Local Collaborative Learning for Intent-Aware Sequential Recommendation.
ICIC (8)
Xuhan Zhou, Qitong Zhao, Wei Zhou, Junhao Wen
2025 J jnl
Integrating contrastive learning and adversarial learning on graph denoising encoder for recommendation.
Expert Syst. Appl.
Wei Zhou, Xianyi Zhang, Junhao Wen, Xibin Wang
2025 J jnl
Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation.
Knowl. Based Syst.
Shuang Ni, Wei Zhou, Fengji Luo, Yihao Zhang, Jun Zeng, Junhao Wen
2025 J jnl
Intent-Guided Bilateral Long and Short-Term Information Mining With Contrastive Learning for Sequential Recommendation.
IEEE Trans. Serv. Comput.
Junhui Niu, Wei Zhou, Fengji Luo, Yihao Zhang, Jun Zeng, Junhao Wen
2025 J jnl
Learning robust travel preferences via check-in masking for next POI recommendation.
Expert Syst. Appl.
Chenghua Duan, Junhao Wen, Wei Zhou, Jun Zeng, Yihao Zhang
2025 J jnl
MA-GCL4SR: Improving Graph Contrastive Learning-Based Sequential Recommendation with Model Augmentation.
ACM Trans. Knowl. Discov. Data
Chun-Yan Sang, Ming Gong, Shigen Liao, Wei Zhou
2025 J jnl
MCKP: Multi-aspect contextual knowledge-enhanced prompting for conversational recommender systems.
Inf. Sci.
Yulin Wang, Yihao Zhang, Junlin Zhu, Yao Li, Wei Zhou
2025 J jnl
Mask Diffusion-Based Contrastive Learning for Knowledge-Aware Recommendation.
IEEE Trans. Knowl. Data Eng.
Kaibei Li, Yihao Zhang, Xiaokang Li, Meng Yuan, Wei Zhou
2025 — conf
Modality Perception Network for Multi-modal Rumor Detection.
ICIC (1)
Yuchao Chen, Xiangyuan Jiang, Yiheng Xu, Wei Zhou
2025 J jnl
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation.
ACM Trans. Inf. Syst.
Shutong Qiao, Wei Zhou, Junhao Wen, Chen Gao, Qun Luo, Peixuan Chen, Yong Li
2025 J jnl
Multi-view collaborative signal fusion and representation property optimization for recommendation.
Eng. Appl. Artif. Intell.
Pengfan Chen, Wei Zhou, Yao Chang, Jun Zeng, Junhao Wen
2025 J jnl
Next PoI Recommendation Based on Graph Convolutional Networks and Multiple Context-Awareness.
IEEE Trans. Serv. Comput.
Wei Zhou, Cheng Fu, Chunyan Sang, Min Gao, Junhao Wen
2025 — conf
STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation.
ACL (Findings)
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
2025 J jnl
STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation.
CoRR
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
2025 J jnl
Simplified self-supervised learning for hybrid propagation graph-based recommendation.
Neural Networks
Jianing Zhou, Jie Liao, Xi Zhu, Junhao Wen, Wei Zhou
2025 J jnl
Smooth diffusion model for multimodal recommendation.
Knowl. Based Syst.
Qinyang He, Kaibei Li, Yihao Zhang, Xiaokang Li, Wei Zhou
2025 J jnl
Spatio-Temporal Intent Modeling for Sequential Recommendation.
IEEE Trans. Serv. Comput.
Huayi Shen, Wei Zhou, Fengji Luo, Xuhan Zhou, Jun Zeng, Junhao Wen
2025 J jnl
User multi-dimensional prior preferences adaptive balancing based next POI recommendation.
Knowl. Inf. Syst.
Chenghua Duan, Wei Zhou, Yuhang He, Junhao Wen
2024 B conf
ALGIN: Adaptive Local and Global Interests Network for Click-Through Rate Prediction.
SMC
Yingjia Xiang, Xuanyu Lu, Wei Zhou, Junhao Wen
2024 — conf
Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning.
ICIC (13)
Hu Liu, Xuanyu Lu, Wei Zhou, Junhao Wen
2024 C conf
Adversarial Classification Rumor Detection based on Social Communication Networks and Time Series Features.
APSEC
Xinyu Zhang, Zixin Chang, Li Li, Wei Zhou, Junhao Wen
2024 J jnl
CBRec: A causal way balancing multidimensional attraction effect in POI recommendations.
Knowl. Based Syst.
Bo Liu, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2024 J jnl
Conversational recommender based on graph sparsification and multi-hop attention.
Intell. Data Anal.
Yihao Zhang, Yuhao Wang, Wei Zhou, Pengxiang Lan, Haoran Xiang, Junlin Zhu, Meng Yuan
2024 J jnl
EML: Emotion-Aware Meta Learning for Cross-Event False Information Detection.
ACM Trans. Knowl. Discov. Data
Yinqiu Huang, Min Gao, Kai Shu, Chenghua Lin, Jia Wang, Wei Zhou
2024 J jnl
Enhancing Disentanglement of Popularity Bias for Recommendation With Triplet Contrastive Learning.
IEEE Trans. Serv. Comput.
Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen
2024 Misc conf
Fine-Grained Discrepancy Contrastive Learning for Robust Fake News Detection.
ICASSP
Junwei Yin, Min Gao, Kai Shu, Jia Wang, Yinqiu Huang, Wei Zhou
2024 J jnl
LLM4SBR: A Lightweight and Effective Framework for Integrating Large Language Models in Session-based Recommendation.
CoRR
Shutong Qiao, Chen Gao, Junhao Wen, Wei Zhou, Qun Luo, Peixuan Chen, Yong Li
2024 J jnl
Mixed-curvature knowledge-enhanced graph contrastive learning for recommendation.
Expert Syst. Appl.
Yihao Zhang, Junlin Zhu, Ruizhen Chen, Weiwen Liao, Yulin Wang, Wei Zhou
2024 J jnl
Multiple hypergraph convolutional network social recommendation using dual contrastive learning.
Data Min. Knowl. Discov.
Hongyu Wang, Wei Zhou, Junhao Wen, Shutong Qiao
2024 J jnl
SCFL: Spatio-temporal consistency federated learning for next POI recommendation.
Inf. Process. Manag.
Lin Zhong, Jun Zeng, Ziwei Wang, Wei Zhou, Junhao Wen
2024 J jnl
SCML-GNN: A Graph Neural Network Model Leveraging Sensor Causality and Meta-Learning for Mechanical Fault Classification.
Int. J. Pattern Recognit. Artif. Intell.
Ziyi Xiao, Yueyang Wang, Gang Tan, Dandan He, Jianing Li, Wei Zhou
2024 J jnl
SFL: A semantic-based federated learning method for POI recommendation.
Inf. Sci.
Xunan Dong, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2023 J jnl
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation.
ACM Trans. Intell. Syst. Technol.
Yihao Zhang, Chu Zhao, Weiwen Liao, Wei Zhou, Meng Yuan
2023 A conf
Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation.
CIKM
Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Zhang, Min Gao
2023 A conf
CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation.
CIKM
Chenghua Duan, Wei Fan, Wei Zhou, Hu Liu, Junhao Wen
2023 J jnl
Deep adaptive collaborative graph neural network for social recommendation.
Expert Syst. Appl.
Liping Wang, Wei Zhou, Ling Liu, Zhengyi Yang, Junhao Wen
2023 J jnl
Enhanced contrastive learning with multi-aspect information for recommender systems.
Knowl. Based Syst.
Linfeng Hu, Wei Zhou, Fengji Luo, Shuang Ni, Junhao Wen
2023 J jnl
Enhancing conversational recommender systems via multi-level knowledge modeling with semantic relations.
Knowl. Based Syst.
Yulin Wang, Yihao Zhang, Junlin Zhu, Weiwen Liao, Meng Yuan, Wei Zhou
2023 J jnl
Enhancing sequential recommendation with contrastive Generative Adversarial Network.
Inf. Process. Manag.
Shuang Ni, Wei Zhou, Junhao Wen, Linfeng Hu, Shutong Qiao
2023 J jnl
Feature-based POI grouping with transformer for next point of interest recommendation.
Appl. Soft Comput.
Yuhang He, Wei Zhou, Fengji Luo, Min Gao, Junhao Wen
2023 J jnl
IHG4MR: Interest-oriented heterogeneous graph for multirelational recommendation.
Expert Syst. Appl.
Yuhang Chang, Wei Zhou, Junhao Wen
2023 J jnl
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation.
IEEE Trans. Knowl. Data Eng.
Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou
2023 J jnl
LSIAN: Exploiting interval interests for session-based recommendation via sparse attention network.
Inf. Sci.
Xinyu Xiao, Wei Zhou, Junhao Wen
2023 J jnl
Meta-relation assisted knowledge-aware coupled graph neural network for recommendation.
Inf. Process. Manag.
Yao Chang, Wei Zhou, Haini Cai, Wei Fan, Linfeng Hu, Junhao Wen
2023 J jnl
Modeling multi-attribute and implicit relationship factors with self-supervised learning for recommender systems.
Intell. Data Anal.
Linfeng Hu, Junhao Wen, Hanwen Zhang, Wei Zhou, Hongyu Wang
2023 J jnl
Multi-perspective enhanced representation for effective session-based recommendation.
Knowl. Based Syst.
Shutong Qiao, Wei Zhou, Junhao Wen, Hongyu Wang, Linfeng Hu, Shuang Ni
2023 J jnl
Noise-reducing graph neural network with intent-target co-action for session-based recommendation.
Inf. Process. Manag.
Shutong Qiao, Wei Zhou, Fengji Luo, Junhao Wen
2023 J jnl
Point-of-interest Recommendation using Deep Semantic Model.
Expert Syst. Appl.
Ziwei Wang, Jun Zeng, Junhao Wen, Min Gao, Wei Zhou
2023 — conf
Spatio-Temporal Position-Extended and Gated-Deep Network for Next POI Recommendation.
DASFAA (2)
Pengxiang Lan, Yihao Zhang, Haoran Xiang, Yuhao Wang, Wei Zhou
2022 — conf
A Flow Prediction Model of Bike-Sharing Based on Cycling Context.
CollaborateCom (1)
Yizhu Zhao, Jun Zeng, Min Gao, Wei Zhou, Junhao Wen
2022 J jnl
A cloud service recommendation method based on extended multi-source information fusion.
Concurr. Comput. Pract. Exp.
Yubiao Wang, Junhao Wen, Wei Zhou, Xibin Wang, Quanwang Wu, Bamei Tao
2022 J jnl
Ada: Adversarial learning based data augmentation for malicious users detection.
Appl. Soft Comput.
Jia Wang, Min Gao, Zongwei Wang, Chenghua Lin, Wei Zhou, Junhao Wen
2022 J jnl
BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model.
EURASIP J. Wirel. Commun. Netw.
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou, Junhao Wen
2022 J jnl
ISANET: Non-small cell lung cancer classification and detection based on CNN and attention mechanism.
Biomed. Signal Process. Control.
Zhiwen Xu, Haijun Ren, Wei Zhou, Zhichao Liu
2022 B conf
Improving Graph Neural Network For Session-based Recommendation System Via Time Sessions.
IJCNN
Xuqi Yang, Xinyu Xiao, Wei Zhou, Junhao Wen
2022 J jnl
Individual Diversity Preference Aware Neural Collaborative Filtering.
Knowl. Based Syst.
Guanzhong Liang, Junhao Wen, Wei Zhou
2022 A conf
Integrating the Pre-trained Item Representations with Reformed Self-attention Network for Sequential Recommendation.
ICWS
Guanzhong Liang, Jie Liao, Wei Zhou, Junhao Wen
2022 J jnl
Interest-Aware Contrastive-Learning-Based GCN for Recommendation.
IEEE Access
Chuan Lin, Wei Zhou, Junhao Wen
2022 — conf
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation.
PAKDD (1)
Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang
2022 — conf
Leveraging GCN and User Friendship for Next POI Recommendation.
MLNLP
Cheng Fu, Wei Zhou, Junhao Wen, Xiangxing Guo, Yuhang Chang
2022 J jnl
Multi-interaction fusion collaborative filtering for social recommendation.
Expert Syst. Appl.
Xinyu Xiao, Junhao Wen, Wei Zhou, Fengji Luo, Min Gao, Jun Zeng
2022 J jnl
SocialLGN: Light graph convolution network for social recommendation.
Inf. Sci.
Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen, Min Gao, Xiuhua Li, Jun Zeng
2021 — conf
GRU with Level-Aware Attention for Rumor Early Detection in Social Networks.
ICONIP (2)
Yu Wang, Wei Zhou, Junhao Wen, Jun Zeng, Haoran He, Lin Liu
2021 B conf
Hybrid-TC: A Hybrid Teaching-Learning-Based Optimization Algorithm for Service Composition in Cloud Manufacturing.
IJCNN
Juan Yao, Jun Zeng, Junhao Wen, Wei Zhou, Min Gao
2021 — conf
Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System.
SCC
Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao
2021 — conf
The Missing POI Completion Based on Bidirectional Masked Trajectory Model.
CollaborateCom (1)
Jun Zeng, Yizhu Zhao, Yang Yu, Min Gao, Wei Zhou
2020 J jnl
Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey.
IEEE Access
Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Wei Zhou
2019 J jnl
A Cloud Service Selection Method Based on Trust and User Preference Clustering.
IEEE Access
Yubiao Wang, Junhao Wen, Wei Zhou, Bamei Tao, Quanwang Wu, Zhiyong Tao
2019 J jnl
A Cloud Service Trust Evaluation Model Based on Combining Weights and Gray Correlation Analysis.
Secur. Commun. Networks
Yubiao Wang, Junhao Wen, Xibin Wang, Bamei Tao, Wei Zhou
2019 J jnl
A trust-based evaluation model for data privacy protection in cloud computing.
Int. J. High Perform. Comput. Netw.
Yubiao Wang, Junhao Wen, Wei Zhou
2019 J jnl
Advanced community question answering by leveraging external knowledge and multi-task learning.
Knowl. Based Syst.
Min Yang, Wenting Tu, Qiang Qu, Wei Zhou, Qiao Liu, Jia Zhu
2019 J jnl
Fashion recommendations through cross-media information retrieval.
J. Vis. Commun. Image Represent.
Wei Zhou, P. Y. Mok, Yanghong Zhou, Yangping Zhou, Jialie Shen, Qiang Qu, K. P. Chau
2019 B conf
From Content Text Encoding Perspective: A Hybrid Deep Matrix Factorization Approach for Recommender System.
IJCNN
Jianing Zhou, Junhao Wen, Shun Li, Wei Zhou
2019 J jnl
Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.
Neural Networks
Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou
2019 A* conf
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.
IJCAI
Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen
2019 J jnl
Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition.
IEEE Access
Tian Chen, Junhao Wen, Qingyu Xiong, Jun Zeng, Wei Zhou, Xueyuan Cai
2018 — conf
A Novel Dynamic Cloud Service Trust Evaluation Model in Cloud Computing.
TrustCom/BigDataSE
Yubiao Wang, Junhao Wen, Wei Zhou, Fengji Luo
2018 J jnl
A Point-of-Interest recommendation method using user similarity.
Web Intell.
Jun Zeng, Xin He, Yinghua Li, Junhao Wen, Wei Zhou
2017 C conf
A Point of Interest Recommendation Approach by Fusing Geographical and Reputation Influence on Location Based Social Networks.
CollaborateCom
Jun Zeng, Feng Li, Junhao Wen, Wei Zhou
2016 C conf
Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series.
CollaborateCom
Wei Zhou, Junhao Wen, Qingyu Xiong, Jun Zeng, Ling Liu, Haini Cai, Tian Chen
2016 J jnl
SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems.
Neurocomputing
Wei Zhou, Junhao Wen, Qingyu Xiong, Min Gao, Jun Zeng
2015 C conf
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems.
KSEM
Wei Zhou, Junhao Wen, Min Gao, Ling Liu, Haini Cai, Xibin Wang
2015 C conf
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization.
KSEM
Xibin Wang, Junhao Wen, Fengji Luo, Wei Zhou, Haijun Ren
2014 B conf
Attack detection in recommender systems based on target item analysis.
IJCNN
Wei Zhou, Junhao Wen, Yun Sing Koh, Shafiq Alam, Gillian Dobbie
2014 A* conf
Detection of abnormal profiles on group attacks in recommender systems.
SIGIR
Wei Zhou, Yun Sing Koh, Junhao Wen, Shafiq Alam, Gillian Dobbie