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ORCIDZhehao Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j6]Zhehao Huang
, Jinzhao Liu:
Adaptive polymorphic mode decomposition. Digit. Signal Process. 161: 104913 (2025)- [c4]Hanling Tian, Yuhang Liu, Mingzhen He, Zhengbao He, Zhehao Huang, Ruikai Yang, Xiaolin Huang:
Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks. ICLR 2025 - 2024
- [j5]Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
Query Attack by Multi-Identity Surrogates. IEEE Trans. Artif. Intell. 5(2): 684-697 (2024) - [j4]Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang:
Online Continual Learning via Logit Adjusted Softmax. Trans. Mach. Learn. Res. 2024 (2024) - [c3]Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang:
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. NeurIPS 2024 - [i7]Xinwen Cheng, Zhehao Huang, Xiaolin Huang:
Machine Unlearning by Suppressing Sample Contribution. CoRR abs/2402.15109 (2024) - [i6]Zhengbao He, Tao Li, Xinwen Cheng, Zhehao Huang, Xiaolin Huang:
Towards Natural Machine Unlearning. CoRR abs/2405.15495 (2024) - [i5]Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang:
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. CoRR abs/2409.19732 (2024) - 2023
- [j3]Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang:
Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3411-3420 (2023) - [c2]Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang:
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. ICLR 2023 - [i4]Zhehao Huang, Tao Li, Chenhe Yuan, Yingwen Wu, Xiaolin Huang:
Online Continual Learning via Logit Adjusted Softmax. CoRR abs/2311.06460 (2023) - 2022
- [c1]Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang:
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. NeurIPS 2022 - [i3]Sizhe Chen, Zhehao Huang, Qinghua Tao, Yingwen Wu, Cihang Xie, Xiaolin Huang:
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks. CoRR abs/2205.12134 (2022) - [i2]Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang:
Trainable Weight Averaging for Fast Convergence and Better Generalization. CoRR abs/2205.13104 (2022) - 2021
- [i1]Sizhe Chen, Zhehao Huang, Qinghua Tao, Xiaolin Huang:
QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. CoRR abs/2105.15010 (2021) - 2020
- [j2]Dehao Ruan, Weiguo Liu, Minran Yang, Zhehao Huang, Xiaoxia Guo:
Novel Stability Results for Halanay Inequality and Applications to Delay Neural Networks. IEEE Access 8: 19504-19511 (2020) - [j1]Dehao Ruan, Zhehao Huang, Xiaoxia Guo:
Inequalities and stability of stochastic Hopfield neural networks with discrete and distributed delays. Neurocomputing 407: 281-291 (2020)
Coauthor Index
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