Un-Rectifying in ReLU Networks and Applications. - Shih-Shuo Tung; Ming-Yu Chung; Jinn Ho; Wen-Liang Hwang (APSIPA ASC, 2023)

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective. - Ming-Yu Chung; Sheng-Yen Chou; Chia-Mu Yu; Pin-Yu Chen; Sy-Yen Kuo; Tsung-Yi Ho (ICLR, 2024)

Global Convergence in Learning Fully-Connected ReLU Networks Via Un-rectifying Based on the Augmented Lagrangian Approach. - Shih-Shuo Tung; Ming-Yu Chung; Jinn Ho; Wen-Liang Hwang (J. Sci. Comput., 2024)

CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models. - Qinsi Wang; Hancheng Ye; Ming-Yu Chung; Yudong Liu; Yueqian Lin; Martin Kuo; Mingyuan Ma; Jianyi Zhang; Yiran Chen 001 (CoRR, 2025)

Model Reprogramming Demystified: A Neural Tangent Kernel Perspective. - Ming-Yu Chung; Jiashuo Fan; Hancheng Ye; Qinsi Wang; Wei-Chen Shen; Chia-Mu Yu; Pin-Yu Chen; Sy-Yen Kuo (CoRR, 2025)