DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation. - Xinyi Wang 008; Min Gao 001; Zhenni Lu; Zongwei Wang 002; Junwei Zhang 004; Yi Zhang (ICONIP (4), 2019)

A Minimax Game for Generative and Discriminative Sample Models for Recommendation. - Zongwei Wang 002; Min Gao 001; Xinyi Wang 008; Junliang Yu; Junhao Wen 001; Qingyu Xiong (PAKDD (2), 2019)

Robustness Analysis of Triangle Relations Attack in Social Recommender Systems. - Jia Wang; Min Gao 001; Zongwei Wang 002; Runsheng Wang; Junhao Wen 001 (CLOUD, 2020)

PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems. - Meiling Chao; Min Gao 001; Junwei Zhang 004; Zongwei Wang 002; Quanwu Zhao; Yulin He (CollaborateCom (2), 2021)

Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction. - Shiqi Wang 018; Min Gao 001; Zongwei Wang 002; Jia Wang; Fan Wu; Junhao Wen 001 (CollaborateCom (1), 2021)

Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack. - Fan Wu; Min Gao 001; Junliang Yu; Zongwei Wang 002; Kecheng Liu; Wange Xu (CoRR, 2021)

Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling. - Junwei Zhang 004; Min Gao 001; Junliang Yu; Linda Yang 002; Zongwei Wang 002; Qingyu Xiong (Neurocomputing, 2021)

Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack. - Fan Wu; Min Gao 001; Junliang Yu; Zongwei Wang 002; Kecheng Liu; Xu Wang (Inf. Sci., 2021)

ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction. - Liang Zhao; Min Gao 001; Zongwei Wang 002 (WSDM, 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)

Quick Graph Conversion for Robust Recommendation. - Zongwei Wang 002; Min Gao 001; Wentao Li 001 (CoRR, 2022)

Gray-Box Shilling Attack: An Adversarial Learning Approach. - Zongwei Wang 002; Min Gao 001; Jundong Li; Junwei Zhang 004; Jiang Zhong (ACM Trans. Intell. Syst. Technol., 2022)

What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy. - Hongwei Zhou; Min Gao 001; Zongwei Wang 002; Linxin Guo; Yinghui Tao; Wentao Li 001 (ICTAI, 2023)

Efficient Bi-Level Optimization for Recommendation Denoising. - Zongwei Wang 002; Min Gao 001; Wentao Li 001; Junliang Yu; Linxin Guo; Hongzhi Yin (KDD, 2023)

Poisoning Attacks Against Contrastive Recommender Systems. - Zongwei Wang 002; Junliang Yu; Min Gao 001; Hongzhi Yin; Bin Cui 001; Shazia Sadiq (CoRR, 2023)

Who are the Best Adopters? User Selection Model for Free Trial Item Promotion. - Shiqi Wang 018; Chongming Gao; Min Gao 001; Junliang Yu; Zongwei Wang 002; Hongzhi Yin (IEEE Trans. Big Data, 2023)

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation. - Yinghui Tao; Min Gao 001; Junliang Yu; Zongwei Wang 002; Qingyu Xiong; Xu Wang (IEEE Trans. Comput. Soc. Syst., 2023)

Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation. - Yunhang Yao; Min Gao 001; Hongwei Zhou; Zongwei Wang 002; Zehua Zhao; Qingyu Xiong (ICASSP, 2024)

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks. - Zongwei Wang 002; Junliang Yu; Min Gao 001; Hongzhi Yin; Bin Cui 001; Shazia Sadiq (KDD, 2024)

Poisoning Attacks against Recommender Systems: A Survey. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Hao Ma; Hongzhi Yin; Shazia Sadiq (CoRR, 2024)

Poisoning Attacks and Defenses in Recommender Systems: A Survey. - Zongwei Wang 002; Junliang Yu; Min Gao 001; Wei Yuan 003; Guanhua Ye; Shazia Sadiq; Hongzhi Yin (CoRR, 2024)

LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Xinyi Gao 001; Quoc Viet Hung Nguyen; Shazia Sadiq; Hongzhi Yin (CoRR, 2024)

Stealthy attack on graph recommendation system. - Hao Ma; Min Gao 001; Feng Wei; Zongwei Wang 002; Feng Jiang 006; Zehua Zhao; Zhengyi Yang 003 (Expert Syst. Appl., 2024)

ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Xinyi Gao 001; Quoc Viet Hung Nguyen; Shazia Sadiq; Hongzhi Yin (SIGIR, 2025)

Towards Secure and Robust Recommender Systems: A Data-Centric Perspective. - Zongwei Wang 002; Junliang Yu; Tong Chen 005; Hongzhi Yin; Shazia Sadiq; Min Gao 001 (WSDM, 2025)

Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection. - Junwei Yin; Min Gao 001; Kai Shu; Wentao Li 001; Yinqiu Huang; Zongwei Wang 002 (WWW, 2025)

LARGE: A leadership perception framework for group recommendation. - Dingyi Gan; Min Gao 001; Wentao Li 001; Zongwei Wang 002; Linxin Guo; Feng Jiang 006; Yuqi Song (Expert Syst. Appl., 2025)

A unified adaptive graph structure generation method for spatio-temporal graph forecasting. - Xu Wang; Nanjie Lai; Peiji Liu; Zongwei Wang 002; Min Gao 001 (Knowl. Based Syst., 2025)

Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation. - Wuhan Chen; Zongwei Wang 002; Min Gao 001; Xin Xia 013; Feng Jiang 006; Junhao Wen 001 (CoRR, 2025)

RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Yupeng Hou; Shazia Sadiq; Hongzhi Yin (CoRR, 2025)

When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation. - Zongwei Wang 002; Min Gao 001; Junliang Yu; Shazia Sadiq; Hongzhi Yin; Ling Liu 001 (CoRR, 2025)