Zhehao Huang

25 papers A* 4Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information.
CoRR
Xinwen Cheng, Jingyuan Zhang, Zhehao Huang, Yingwen Wu, Xiaolin Huang
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 J jnl
Adaptive polymorphic mode decomposition.
Digit. Signal Process.
Zhehao Huang, Jinzhao Liu
2025 J jnl
Bi-LoRA: Efficient Sharpness-Aware Minimization for Fine-Tuning Large-Scale Models.
CoRR
Yuhang Liu, Tao Li, Zhehao Huang, Zuopeng Yang, Xiaolin Huang
2025 — conf
Dynamic Ring Signature: Towards Provable Anonymity in Blockchain-Based E-Voting.
ICA3PP (8)
Shan Jiang, Zhehao Huang, Shichang Xuan, Jiaxing Shen, Huakun Huang, Xiaojie Zhu
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
2025 J jnl
VL-RouterBench: A Benchmark for Vision-Language Model Routing.
CoRR
Zhehao Huang, Baijiong Lin, Jingyuan Zhang, Jingying Wang, Yuhang Liu, Ning Lu, Tao Li, Xiaolin Huang
2024 J jnl
Machine Unlearning by Suppressing Sample Contribution.
CoRR
Xinwen Cheng, Zhehao Huang, Xiaolin Huang
2024 J jnl
Online Continual Learning via Logit Adjusted Softmax.
Trans. Mach. Learn. Res.
Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
2024 J jnl
Query Attack by Multi-Identity Surrogates.
IEEE Trans. Artif. Intell.
Sizhe Chen, Zhehao Huang, Qinghua Tao, 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 J jnl
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang
2023 J jnl
Online Continual Learning via Logit Adjusted Softmax.
CoRR
Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang
2023 A* conf
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions.
ICLR
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
2022 A* conf
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.
NeurIPS
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022 J jnl
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.
CoRR
Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang
2022 J jnl
Trainable Weight Averaging for Fast Convergence and Better Generalization.
CoRR
Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
2021 J jnl
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities.
CoRR
Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang
2020 J jnl
Inequalities and stability of stochastic Hopfield neural networks with discrete and distributed delays.
Neurocomputing
Dehao Ruan, Zhehao Huang, Xiaoxia Guo
2020 J jnl
Novel Stability Results for Halanay Inequality and Applications to Delay Neural Networks.
IEEE Access
Dehao Ruan, Weiguo Liu, Minran Yang, Zhehao Huang, Xiaoxia Guo