Wang, Qizhou

17 publications

ICML 2025 Adaptive Localization of Knowledge Negation for Continual LLM Unlearning Abudukelimu Wuerkaixi, Qizhou Wang, Sen Cui, Wutong Xu, Bo Han, Gang Niu, Masashi Sugiyama, Changshui Zhang

ICML 2025 Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning Puning Yang, Qizhou Wang, Zhuo Huang, Tongliang Liu, Chengqi Zhang, Bo Han

ICML 2025 GRU: Mitigating the Trade-Off Between Unlearning and Retention for LLMs Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han

ICLR 2025 Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie

ICLR 2025 Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond Qizhou Wang, Jin Peng Zhou, Zhanke Zhou, Saebyeol Shin, Bo Han, Kilian Q Weinberger

ICLR 2025 Towards Effective Evaluations and Comparisons for LLM Unlearning Methods Qizhou Wang, Bo Han, Puning Yang, Jianing Zhu, Tongliang Liu, Masashi Sugiyama

NeurIPS 2024 A Sober Look at the Robustness of CLIPs to Spurious Features Qizhou Wang, Yong Lin, Yongqiang Chen, Ludwig Schmidt, Bo Han, Tong Zhang

AAAI 2023 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie

NeurIPS 2023 Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han

NeurIPS 2023 Out-of-Distribution Detection Learning with Unreliable Out-of-Distribution Sources Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han

ICLR 2023 Out-of-Distribution Detection with Implicit Outlier Transformation Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han

CVPR 2022 Real-Time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi

NeurIPS 2022 Towards Lightweight Black-Box Attack Against Deep Neural Networks Chenghao Sun, Yonggang Zhang, Wan Chaoqun, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian

NeurIPS 2022 Watermarking for Out-of-Distribution Detection Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han

AAAI 2021 Learning with Group Noise Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han

NeurIPS 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama

AAAI 2021 Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong