Qizhou WangPh.D. Student
TMLR Group
[Google Scholar]
[Github] |
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I will achieve my PhD degree from Trustworthy Machine Learning and Reasoning (TMLR) Group in the Department of Computer Science, Hong Kong Baptist University, advised by Dr. Bo Han. I have worked as a visiting research student at RIKEN AIP, collaborating with Prof. Masashi Sugiyama and Dr. Gang Niu, and at Cornell University, collaborated with Prof. Kilian Q. Weinberger. I also work closely with Dr. Feng Liu and Dr. Zhen Fang.
I am studying unlearning, fine-tuning, and preference optimization problems for foundation models, and I am eager to collaborate and exchange ideas with others in these fields.
@inproceedings{wuerkaixi2025adaptive,
title={Adaptive Localization of Knowledge Negation for Continual LLM Unlearning},
author={Wuerkaixi, Abudukelimu and Wang, Qizhou and Cui, Sen and Xu, Wutong and Han, Bo and Niu, Gang and Sugiyama, Masashi and Zhang, Changshui},
booktitle = {International Conference on Machine Learning},
year={2025}
}
@inproceedings{yang2025exploring,
title={Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning},
author={Yang, Puning and Wang, Qizhou and Huang, Zhuo and Liu, Tongliang and Zhang, Chengqi and Han, Bo},
booktitle = {International Conference on Machine Learning},
year={2025}
}
@inproceedings{wang2025gru,
title={GRU: Mitigating the Trade-off between Unlearning and Retention for Large Language Models},
author={Wang, Yue and Wang, Qizhou and Liu, Feng and Huang, Wei and Du, Yali and Du, Xiaojiang and Han, Bo},
booktitle = {International Conference on Machine Learning},
year={2025}
}
@article{wang2025wdoe,
title={W-DOE: Wasserstein Distribution-agnostic Outlier Exposure},
author={Qizhou Wang and Bo Han and Yang Liu and Chen Gong and Tongliang Liu and Jiming Liu},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2025},
}
@inproceedings{wang2025rethinking,
title={Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond},
author={Qizhou Wang and Jin Peng Zhou and Zhanke Zhou and Saebyeol Shin and Bo Han and Kilian Q Weinberger},
booktitle = {International Conference on Learning Representations},
year = {2025}
}
@inproceedings{wang2025towards,
title={Towards Effective Evaluations and Comparison for LLM Unlearning Methods},
author={Qizhou Wang and Bo Han and Puning Yang and Jianing Zhu and Tongliang Liu and Masashi Sugiyama},
booktitle = {International Conference on Learning Representations},
year = {2025}
}
@inproceedings{wang2024clips,
title={A Sober Look at the Robustness of CLIPs to Spurious Features},
author={Qizhou Wang and Yong Lin and Yongqiang Chen and Ludwig Schmidt and Bo Han and Tong Zhang},
booktitle={Advances in Neural Information Processing Systems},
year={2024},
}
@inproceedings{wang2023learning,
title={Learning to Augment Distributions for Out-of-distribution Detection},
author={Qizhou Wang and Zhen Fang and Yonggang Zhang and Feng Liu and Yixuan Li and Bo Han},
booktitle={Advances in Neural Information Processing Systems},
year={2023},
}
@inproceedings{zheng2023unreliable,
title={Out-of-distribution Detection with Unreliable Out-of-distribution Sources},
author={Haotian Zheng and Qizhou Wang and Zhen Fang and Xiaobo Xia and Feng Liu and Tongliang Liu and Bo Han},
booktitle={Advances in Neural Information Processing Systems},
year={2023},
}
@inproceedings{wang2023doe,
title={Out-of-distribution Detection with Implicit Outlier Transformation},
author={Qizhou Wang and Junjie Ye and Feng Liu and Quanyu Dai and Marcus Kalander and Tongliang Liu and Jianye Hao and Bo Han},
booktitle = {International Conference on Learning Representations},
year = {2023}
}
@inproceedings{wang2022watermark,
title={Watermarking for Out-of-distribution Detection},
author={Qizhou Wang and Feng Liu and Yonggang Zhang and Jing Zhang and Chen Gong and Tongliang Liu and Bo Han},
booktitle={Advances in Neural Information Processing Systems},
year={2022},
}
@inproceedings{wang2021mail,
title={Probabilistic Margins for Instance Reweighting in Adversarial Training},
author={Qizhou Wang and Feng Liu and Bo Han and Tongliang Liu and Chen Gong and Gang Niu and Mingyuan Zhou and Masashi Sugiyama},
booktitle={NeurIPS},
year={2021}
}