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)

Inequalities and stability of stochastic Hopfield neural networks with discrete and distributed delays. - Dehao Ruan; Zhehao Huang; Xiaoxia Guo (Neurocomputing, 2020)

QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities. - Sizhe Chen; Zhehao Huang; Qinghua Tao; Xiaolin Huang (CoRR, 2021)

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 (NeurIPS, 2022)

Trainable Weight Averaging for Fast Convergence and Better Generalization. - Tao Li; Zhehao Huang; Qinghua Tao; Yingwen Wu; Xiaolin Huang (CoRR, 2022)

Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. - Tao Li; Zhehao Huang; Qinghua Tao; Yingwen Wu; Xiaolin Huang (ICLR, 2023)

Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces. - Tao Li; Lei Tan; Zhehao Huang; Qinghua Tao; Yipeng Liu 001; Xiaolin Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement. - Zhehao Huang; Xinwen Cheng; JingHao Zheng; Haoran Wang; Zhengbao He; Tao Li; Xiaolin Huang (NeurIPS, 2024)

Machine Unlearning by Suppressing Sample Contribution. - Xinwen Cheng; Zhehao Huang; Xiaolin Huang (CoRR, 2024)

Towards Natural Machine Unlearning. - Zhengbao He; Tao Li; Xinwen Cheng; Zhehao Huang; Xiaolin Huang (CoRR, 2024)

Online Continual Learning via Logit Adjusted Softmax. - Zhehao Huang; Tao Li; Chenhe Yuan; Yingwen Wu; Xiaolin Huang (Trans. Mach. Learn. Res., 2024)

Query Attack by Multi-Identity Surrogates. - Sizhe Chen; Zhehao Huang; Qinghua Tao; Xiaolin Huang (IEEE Trans. Artif. Intell., 2024)

Simulating Training Dynamics to Reconstruct Training Data from Deep Neural Networks. - Hanling Tian; Yuhang Liu 003; Mingzhen He; Zhengbao He; Zhehao Huang; Ruikai Yang; Xiaolin Huang (ICLR, 2025)

Adaptive polymorphic mode decomposition. - Zhehao Huang; Jinzhao Liu (Digit. Signal Process., 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, 2025)

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training. - Zhehao Huang; Yuhang Liu 003; Yixin Lou; Zhengbao He; Mingzhen He; Wenxing Zhou; Tao Li; Kehan Li; Zeyi Huang; Xiaolin Huang (CoRR, 2025)