Zhengbao He

21 papers A* 5Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
RAIN-Merging: A Gradient-Free Method to Enhance Instruction Following in Large Reasoning Models with Preserved Thinking Format.
CoRR
Zhehao Huang, Yuhang Liu, Baijiong Lin, Yixin Lou, Zhengbao He, Hanling Tian, Tao Li, Xiaolin Huang
2025 J jnl
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning.
CoRR
Zhehao Huang, Xinwen Cheng, Jie Zhang, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang
2025 A* conf
Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape.
ICML
Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang
2025 J jnl
Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning.
CoRR
Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun
2025 A* conf
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection.
ICLR
Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
2025 A* conf
Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks.
ICLR
Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang
2025 J jnl
T2I-ConBench: Text-to-Image Benchmark for Continual Post-training.
CoRR
Zhehao Huang, Yuhang Liu, Yixin Lou, Zhengbao He, Mingzhen He, Wenxing Zhou, Tao Li, Kehan Li, Zeyi Huang, Xiaolin Huang
2025 J jnl
Towards Natural Machine Unlearning.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang
2024 J jnl
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape.
CoRR
Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang
2024 A* conf
Friendly Sharpness-Aware Minimization.
CVPR
Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang
2024 J jnl
Friendly Sharpness-Aware Minimization.
CoRR
Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang
2024 J jnl
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes.
CoRR
Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang
2024 J jnl
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection.
CoRR
Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang
2024 J jnl
Towards Natural Machine Unlearning.
CoRR
Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang
2024 A* conf
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement.
NeurIPS
Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang
2024 J jnl
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement.
CoRR
Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang
2023 — conf
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective.
CVPR Workshops
Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang
2023 J jnl
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective.
CoRR
Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang
2022 J jnl
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.
IEEE Trans. Pattern Anal. Mach. Intell.
Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang
2020 J jnl
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.
CoRR
Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang
2019 J jnl
DAmageNet: A Universal Adversarial Dataset.
CoRR
Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun