| 2026 | AAAI | Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering. | Zhongteng Cai, Yaxuan Wang, Yang Liu, Xueru Zhang |
| 2026 | ACL | Observations and Remedies for Large Language Model Bias in Self-Consuming Performative Loop. | Yaxuan Wang, Zhongteng Cai, Yujia Bao, Xueru Zhang, Yang Liu |
| 2025 | ICLR | Improving Data Efficiency via Curating LLM-Driven Rating Systems. | Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei |
| 2025 | ICLR | LLM Unlearning via Loss Adjustment with Only Forget Data. | Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Shah, Yujia Bao, Yang Liu, Wei Wei |
| 2025 | KDD | Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. | Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu |
| 2022 | ACML | Evaluating the perceived safety of urban city via maximum entropy deep inverse reinforcement learning. | Yaxuan Wang, Zhixin Zeng, Qijun Zhao |
| 2021 | ICANN | Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack. | Patrick P. K. Chan, Yaxuan Wang, Natasha Kees, Daniel S. Yeung |
| 2020 | CCS | Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map. | Patrick P. K. Chan, Yaxuan Wang, Daniel S. Yeung |
| 2020 | ICMLC | Segmentation Based Backdoor Attack Detection. | Natasha Kees, Yaxuan Wang, Yiling Jiang, Fang Lue, Patrick P. K. Chan |
| 2016 | DASFAA | Efficient Influence Maximization in Weighted Independent Cascade Model. | Yaxuan Wang, Hongzhi Wang, Jianzhong Li, Hong Gao |