Publications

Zhehao Huang, Xinwen Cheng, Jinghao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang (2024). Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. In NeurIPS 2024 Spotlight.

Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang (2024). Online Continual Learning via Logit Adjusted Softmax. In TMLR 05/2024.

Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang (2024). Towards Natural Machine Unlearning. In arXiv.

Xinwen Cheng, Zhehao Huang, Xiaolin Huang (2024). Machine Unlearning by Suppressing Sample Contribution. In arXiv.

Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang (2023). Query Attack by Multi-Identity Surrogates. In TAI 2023.

Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang (2023). Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. In ICLR 2023.

Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang (2022). Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. In NeurIPS 2022.

Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang (2022). Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. In TPAMI 2023.

Zhehao Huang (2019). An example preprint / working paper.

Zhehao Huang, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).