| 2025 | EMNLP | Towards Universal Debiasing for Language Models-based Tabular Data Generation. | Tianchun Li, Tianci Liu, Xingchen Wang, Rongzhe Wei, Pan Li, Lu Su, Jing Gao |
| 2025 | ICML | Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models. | Haoyu Peter Wang, Shikun Liu, Rongzhe Wei, Pan Li |
| 2025 | ICML | Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning. | Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li, Xiang Yue, Bo Li, Vamsi K. Potluru, Pan Li, Eli Chien |
| 2024 | WWW | Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. | Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava |
| 2022 | CIKM | Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection. | Yizhou Wang, Can Qin, Rongzhe Wei, Yi Xu, Yue Bai, Yun Fu |
| 2020 | COMPSAC | Dual Adversarial Networks for Land-Cover Classification. | Jingyi An, Rongzhe Wei, Zhichao Zha, Bo Dong |
| 2020 | COMPSAC | NEUD-TRI: Network Embedding Based on Upstream and Downstream for Transaction Risk Identification. | Jingyi An, Qinghua Zheng, Rongzhe Wei, Bo Dong, Xuanya Li |
| 2020 | COMPSAC | A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation. | Yingchao Wu, Bo Dong, Qinghua Zheng, Rongzhe Wei, Zhiwen Wang, Xuanya Li |