Zongwei Wang

49 papers A* 7A 5B 2Misc 1Journal 29Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgentAttack : LLM agents for multi-strategy shilling attacks in recommenders.
Expert Syst. Appl.
Chenyu Li, Zongwei Wang, Hao Ma, Wei Li, Huan Wu, Yuqi Song, Min Gao
2026 J jnl
Ahead of the Spread: Agent-Driven Virtual Propagation for Early Fake News Detection.
CoRR
Bincheng Gu, Min Gao, Junliang Yu, Zongwei Wang, Zhiyi Liu, Kai Shu, Hongyu Zhang
2026 J jnl
DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation.
CoRR
Jiawei Cheng, Min Gao, Zongwei Wang, Xiaofei Zhu, Zhiyi Liu, Wentao Li, Wei Li, Huan Wu
2026 A* conf
PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection.
WWW
Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026 J jnl
PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Tong Chen, Chenghua Lin
2026 A* conf
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection.
WWW
Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin
2026 J jnl
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents.
CoRR
Zongwei Wang, Bincheng Gu, Hongyu Yu, Junliang Yu, Tao He, Jiayin Feng, Chenghua Lin, Min Gao
2026 J jnl
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation.
ACM Trans. Inf. Syst.
Zongwei Wang, Min Gao, Junliang Yu, Shazia Sadiq, Hongzhi Yin, Ling Liu
2025 J jnl
A unified adaptive graph structure generation method for spatio-temporal graph forecasting.
Knowl. Based Syst.
Xu Wang, Nanjie Lai, Peiji Liu, Zongwei Wang, Min Gao
2025 J jnl
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation.
CoRR
Wuhan Chen, Zongwei Wang, Min Gao, Xin Xia, Feng Jiang, Junhao Wen
2025 A conf
Budget and Frequency Controlled Cost-Aware Model Extraction Attack on Sequential Recommenders.
CIKM
Lei Zhou, Min Gao, Zongwei Wang, Yibing Bai
2025 A* conf
FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting.
IJCAI
Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang
2025 A* conf
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
WWW
Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang
2025 A* conf
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems.
SIGIR
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2025 J jnl
LARGE: A leadership perception framework for group recommendation.
Expert Syst. Appl.
Dingyi Gan, Min Gao, Wentao Li, Zongwei Wang, Linxin Guo, Feng Jiang, Yuqi Song
2025 A conf
Linking Ordered and Orderless Modeling for Sequential Recommendation.
CIKM
Sijia Li, Min Gao, Zongwei Wang, Yibing Bai, Wuhan Chen
2025 — conf
Progressive Stacking for Scalable Graph Condensation.
KDD (2)
Yibing Bai, Min Gao, Zongwei Wang, Xinyi Gao, Wentao Li
2025 J jnl
Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection.
CoRR
Chi Wang, Min Gao, Zongwei Wang, Junwei Yin, Kai Shu, Chenghua Lin
2025 J jnl
RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Yupeng Hou, Shazia Sadiq, Hongzhi Yin
2025 A conf
Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models.
CIKM
Xingyu Liu, Min Gao, Zongwei Wang, Yinbing Bai
2025 A conf
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective.
WSDM
Zongwei Wang, Junliang Yu, Tong Chen, Hongzhi Yin, Shazia Sadiq, Min Gao
2025 J jnl
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Shazia Sadiq, Hongzhi Yin, Ling Liu
2024 J jnl
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection.
CoRR
Junwei Yin, Min Gao, Kai Shu, Wentao Li, Yinqiu Huang, Zongwei Wang
2024 J jnl
LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Xinyi Gao, Quoc Viet Hung Nguyen, Shazia Sadiq, Hongzhi Yin
2024 J jnl
Poisoning Attacks against Recommender Systems: A Survey.
CoRR
Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia Sadiq
2024 J jnl
Poisoning Attacks and Defenses in Recommender Systems: A Survey.
CoRR
Zongwei Wang, Junliang Yu, Min Gao, Wei Yuan, Guanhua Ye, Shazia Sadiq, Hongzhi Yin
2024 Misc conf
Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation.
ICASSP
Yunhang Yao, Min Gao, Hongwei Zhou, Zongwei Wang, Zehua Zhao, Qingyu Xiong
2024 J jnl
Stealthy attack on graph recommendation system.
Expert Syst. Appl.
Hao Ma, Min Gao, Feng Wei, Zongwei Wang, Feng Jiang, Zehua Zhao, Zhengyi Yang
2024 A* conf
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks.
KDD
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2023 A* conf
Efficient Bi-Level Optimization for Recommendation Denoising.
KDD
Zongwei Wang, Min Gao, Wentao Li, Junliang Yu, Linxin Guo, Hongzhi Yin
2023 J jnl
Poisoning Attacks Against Contrastive Recommender Systems.
CoRR
Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
2023 J jnl
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation.
IEEE Trans. Comput. Soc. Syst.
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
2023 B conf
What Really Matters for Graph Contrastive Learning-Based Recommendations? A Unified Learning Strategy.
ICTAI
Hongwei Zhou, Min Gao, Zongwei Wang, Linxin Guo, Yinghui Tao, Wentao Li
2023 J jnl
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion.
IEEE Trans. Big Data
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
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
Gray-Box Shilling Attack: An Adversarial Learning Approach.
ACM Trans. Intell. Syst. Technol.
Zongwei Wang, Min Gao, Jundong Li, Junwei Zhang, Jiang Zhong
2022 J jnl
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation.
CoRR
Yinghui Tao, Min Gao, Junliang Yu, Zongwei Wang, Qingyu Xiong, Xu Wang
2022 J jnl
Quick Graph Conversion for Robust Recommendation.
CoRR
Zongwei Wang, Min Gao, Wentao Li
2022 A conf
ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction.
WSDM
Liang Zhao, Min Gao, Zongwei Wang
2022 J jnl
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion.
CoRR
Shiqi Wang, Chongming Gao, Min Gao, Junliang Yu, Zongwei Wang, Hongzhi Yin
2021 — conf
Fine-Grained Spatial-Temporal Representation Learning with Missing Data Completion for Traffic Flow Prediction.
CollaborateCom (1)
Shiqi Wang, Min Gao, Zongwei Wang, Jia Wang, Fan Wu, Junhao Wen
2021 — conf
PATR: A Novel Poisoning Attack Based on Triangle Relations Against Deep Learning-Based Recommender Systems.
CollaborateCom (2)
Meiling Chao, Min Gao, Junwei Zhang, Zongwei Wang, Quanwu Zhao, Yulin He
2021 J jnl
Path-based reasoning over heterogeneous networks for recommendation via bidirectional modeling.
Neurocomputing
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
2021 J jnl
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack.
CoRR
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Wange Xu
2021 J jnl
Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack.
Inf. Sci.
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wang
2020 J jnl
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling.
CoRR
Junwei Zhang, Min Gao, Junliang Yu, Linda Yang, Zongwei Wang, Qingyu Xiong
2020 B conf
Robustness Analysis of Triangle Relations Attack in Social Recommender Systems.
CLOUD
Jia Wang, Min Gao, Zongwei Wang, Runsheng Wang, Junhao Wen
2019 — conf
A Minimax Game for Generative and Discriminative Sample Models for Recommendation.
PAKDD (2)
Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong
2019 — conf
DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation.
ICONIP (4)
Xinyi Wang, Min Gao, Zhenni Lu, Zongwei Wang, Junwei Zhang, Yi Zhang