Time Majority Voting, a PC-Based EEG Classifier for Non-expert Users. - Guangyao Dou; Zheng Zhou; Xiaodong Qu (HCI (44), 2022)

BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students. - Zheng Zhou; Guangyao Dou; Xiaodong Qu (HCI (48), 2022)

EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning Analysis. - Guangyao Dou; Zheng Zhou (CoRR, 2022)

Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. - Zheyuan Liu 010; Guangyao Dou; Yijun Tian 001; Chunhui Zhang; Eli Chien; Ziwei Zhu 001 (CoRR, 2023)

Towards Safer Large Language Models through Machine Unlearning. - Zheyuan Liu 010; Guangyao Dou; Zhaoxuan Tan; Yijun Tian 001; Meng Jiang 001 (ACL (Findings), 2024)

Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. - Zheyuan Liu 010; Guangyao Dou; Eli Chien; Chunhui Zhang; Yijun Tian 001; Ziwei Zhu 001 (WWW, 2024)

Avoiding Copyright Infringement via Machine Unlearning. - Guangyao Dou; Zheyuan Liu 010; Qing Lyu 001; Kaize Ding; Eric Wong 001 (CoRR, 2024)

Machine Unlearning in Generative AI: A Survey. - Zheyuan Liu 010; Guangyao Dou; Zhaoxuan Tan; Yijun Tian 001; Meng Jiang 001 (CoRR, 2024)

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning. - Guangyao Dou (CoRR, 2024)

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models. - Zheyuan Liu 010; Guangyao Dou; Xiangchi Yuan; Chunhui Zhang; Zhaoxuan Tan; Meng Jiang 001 (ACL (1), 2025)

Avoiding Copyright Infringement via Large Language Model Unlearning. - Guangyao Dou; Zheyuan Liu 010; Qing Lyu 001; Kaize Ding; Eric Wong 001 (NAACL (Findings), 2025)

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. - Zheyuan Liu 010; Guangyao Dou; Mengzhao Jia; Zhaoxuan Tan; Qingkai Zeng 001; Yongle Yuan; Meng Jiang 001 (NAACL (Long Papers), 2025)