Liang, Ling

6 publications

CVPR 2025 Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients Li Lun, Kunyu Feng, Qinglong Ni, Ling Liang, Yuan Wang, Ying Li, Dunshan Yu, Xiaoxin Cui

JMLR 2024 Accelerating Nuclear-Norm Regularized Low-Rank Matrix Optimization Through Burer-Monteiro Decomposition Ching-pei Lee, Ling Liang, Tianyun Tang, Kim-Chuan Toh

TMLR 2024 On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization Ling Liang, Haizhao Yang

NeurIPS 2022 Toward Robust Spiking Neural Network Against Adversarial Perturbation Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie

NeurIPS 2021 ScaleCert: Scalable Certified Defense Against Adversarial Patches with Sparse Superficial Layers Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen

NeurIPS 2018 TETRIS: TilE-Matching the TRemendous Irregular Sparsity Yu Ji, Ling Liang, Lei Deng, Youyang Zhang, Youhui Zhang, Yuan Xie