| 2025 | ACL | Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models. | Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang |
| 2025 | NAACL | Avoiding Copyright Infringement via Large Language Model Unlearning. | Guangyao Dou, Zheyuan Liu, Qing Lyu, Kaize Ding, Eric Wong |
| 2025 | NAACL | Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. | Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang |
| 2024 | ACL | Towards Safer Large Language Models through Machine Unlearning. | Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang |
| 2024 | WWW | Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. | Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu |
| 2022 | HCI | Time Majority Voting, a PC-Based EEG Classifier for Non-expert Users. | Guangyao Dou, Zheng Zhou, Xiaodong Qu |
| 2022 | HCI | BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students. | Zheng Zhou, Guangyao Dou, Xiaodong Qu |