He, Zhengbao

8 publications

ICML 2025 Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang

ICLR 2025 Pursuing Feature Separation Based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, 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

NeurIPSW 2024 Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang

CVPR 2024 Friendly Sharpness-Aware Minimization Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, 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

CVPRW 2023 Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-Fitting Perspective Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang