Zhehao Huang

According to our database, Zhehao Huang authored at least 22 papers between 2020 and 2026.

Collaborative distances:

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

2026

Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information.

Xinwen Cheng, Jingyuan Zhang, Zhehao Huang, Yingwen Wu, Xiaolin Huang

CoRR, March, 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

CoRR, February, 2026

2025

Towards Natural Machine Unlearning.

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

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

VL-RouterBench: A Benchmark for Vision-Language Model Routing.

Zhehao Huang, Baijiong Lin, Jingyuan Zhang, Jingying Wang, Yuhang Liu, Ning Lu, Tao Li, Xiaolin Huang

CoRR, December, 2025

Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models.

Yuhang Liu, Tao Li, Zhehao Huang, Zuopeng Yang, Xiaolin Huang

CoRR, August, 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

Adaptive polymorphic mode decomposition.

Zhehao Huang, Jinzhao Liu

Digit. Signal Process., 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

Dynamic Ring Signature: Towards Provable Anonymity in Blockchain-Based E-Voting.

Shan Jiang, Zhehao Huang, Shichang Xuan, Jiaxing Shen, Huakun Huang, Xiaojie Zhu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

2024

Query Attack by Multi-Identity Surrogates.

Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang

IEEE Trans. Artif. Intell., February, 2024

Online Continual Learning via Logit Adjusted Softmax.

Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang

Trans. Mach. Learn. Res., 2024

Towards Natural Machine Unlearning.

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

CoRR, 2024

Machine Unlearning by Suppressing Sample Contribution.

Xinwen Cheng, Zhehao Huang, 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 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces.

Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions.

Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Trainable Weight Averaging for Fast Convergence and Better Generalization.

Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities.

Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang

CoRR, 2021

2020

Inequalities and stability of stochastic Hopfield neural networks with discrete and distributed delays.

Dehao Ruan, Zhehao Huang, Xiaoxia Guo

Neurocomputing, 2020

Novel Stability Results for Halanay Inequality and Applications to Delay Neural Networks.

Dehao Ruan, Weiguo Liu, Minran Yang, Zhehao Huang, Xiaoxia Guo

IEEE Access, 2020