Huang, Zhehao

9 publications

ICLR 2026 Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models Yuhang Liu, Tao Li, Zhehao Huang, Zuopeng Yang, Xiaolin Huang

ICLR 2026 RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format Zhehao Huang, Yuhang Liu, Baijiong Lin, Yixin Lou, Zhengbao He, Hanling Tian, Tao Li, Xiaolin Huang

ICLR 2026 Remaining-Data-Free Machine Unlearning by Suppressing Sample Contribution Xinwen Cheng, Zhehao Huang, Wenxing Zhou, Zhengbao He, Ruikai Yang, Yingwen Wu, Xiaolin Huang

ICLR 2025 Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang

TMLR 2024 Online Continual Learning via Logit Adjusted SoftMax Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang

NeurIPSW 2024 Towards Natural Machine Unlearning Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang

NeurIPS 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang

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

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