Zhengbao He

According to our database, Zhengbao He authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training.

Zhehao Huang, Yuhang Liu, Yixin Lou, Zhengbao He, Mingzhen He, Wenxing Zhou, Tao Li, Kehan Li, Zeyi Huang, Xiaolin Huang

CoRR, May, 2025

A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning.

Zhehao Huang, Xinwen Cheng, Jie Zhang, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang

CoRR, May, 2025

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection.

Yingwen Wu, Ruiji Yu, Xinwen Cheng, Zhengbao He, Xiaolin Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes.

Ruikai Yang, Mingzhen He, Zhengbao He, Youmei Qiu, Xiaolin Huang

CoRR, 2024

Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape.

Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang

CoRR, 2024

Towards Natural Machine Unlearning.

Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang

CoRR, 2024

Friendly Sharpness-Aware Minimization.

Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang

CoRR, 2024

Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement.

Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Friendly Sharpness-Aware Minimization.

Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective.

Zhengbao He, Tao Li, Sizhe Chen, Xiaolin Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.

Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2020

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.

Sizhe Chen, Zhengbao He, Chengjin Sun, Xiaolin Huang

CoRR, 2020

2019

DAmageNet: A Universal Adversarial Dataset.

Sizhe Chen, Xiaolin Huang, Zhengbao He, Chengjin Sun

CoRR, 2019