Zongwei Wang

According to our database, Zongwei Wang authored at least 24 papers between 2019 and 2025.

Collaborative distances:

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

2025

LARGE: A leadership perception framework for group recommendation.

Dingyi Gan, Min Gao, Wentao Li, Zongwei Wang, Linxin Guo, Feng Jiang, Yuqi Song

Expert Syst. Appl., 2025

2024

Stealthy attack on graph recommendation system.

Hao Ma, Min Gao, Feng Wei, Zongwei Wang, Feng Jiang, Zehua Zhao, Zhengyi Yang

Expert Syst. Appl., 2024

LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems.

Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin

CoRR, 2024

Poisoning Attacks and Defenses in Recommender Systems: A Survey.

Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia W. Sadiq, Hongzhi Yin

CoRR, 2024

Poisoning Attacks against Recommender Systems: A Survey.

Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia W. Sadiq

CoRR, 2024

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks.

Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation.

Yunhang Yao, Min Gao, Hongwei Zhou, Zongwei Wang, Zehua Zhao, Qingyu Xiong

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation.

Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang

IEEE Trans. Comput. Soc. Syst., October, 2023

Who are the Best Adopters? User Selection Model for Free Trial Item Promotion.

Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin

IEEE Trans. Big Data, April, 2023

Poisoning Attacks Against Contrastive Recommender Systems.

Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia W. Sadiq

CoRR, 2023

Efficient Bi-Level Optimization for Recommendation Denoising.

Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy.

Hongwei Zhou, Min Gao, Zongwei Wang, Linxin Guo, Yinghui Tao, Wentao Li

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022

Gray-Box Shilling Attack: An Adversarial Learning Approach.

Zongwei Wang, Min Gao, Jundong Li, Junwei Zhang, Jiang Zhong

ACM Trans. Intell. Syst. Technol., 2022

Quick Graph Conversion for Robust Recommendation.

Zongwei Wang, Min Gao, Wentao Li

CoRR, 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

ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction.

Liang Zhao, Min Gao, Zongwei Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack.

Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wang

Inf. Sci., 2021

Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling.

Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong

Neurocomputing, 2021

Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack.

Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu

CoRR, 2021

Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction.

Shiqi Wang, Min Gao, Zongwei Wang, Jia Wang, Fan Wu, Junhao Wen

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

PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems.

Meiling Chao, Min Gao, Junwei Zhang, Zongwei Wang, Quanwu Zhao, Yulin He

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

2020

Robustness Analysis of Triangle Relations Attack in Social Recommender Systems.

Jia Wang, Min Gao, Zongwei Wang, Runsheng Wang, Junhao Wen

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019

A Minimax Game for Generative and Discriminative Sample Models for Recommendation.

Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation.

Xinyi Wang, Min Gao, Zhenni Lu, Zongwei Wang, Junwei Zhang, Yi Zhang

Proceedings of the Neural Information Processing - 26th International Conference, 2019