Qizhou WangPh.D. Student
TMLR Group
[Google Scholar]
[Github] |
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I am a fourth-year Ph.D. student at 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.
My research interests lie in the broad areas of robust and reliable machine learning, including OOD Detection, adversarial robustness, and label noise robustness. Currently, I am studying unlearning and fine-tuning problems for foundation models.
@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}
}