Improving Black-box Adversarial Attacks with a Transfer-based Prior. - Shuyu Cheng; Yinpeng Dong; Tianyu Pang; Hang Su 006; Jun Zhu 001 (NeurIPS, 2019)

Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference. - Zhize Li; Tianyi Zhang 008; Shuyu Cheng; Jun Zhu 001; Jian Li 015 (Mach. Learn., 2019)

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. - Ziyu Wang 006; Shuyu Cheng; Yueru Li; Jun Zhu 001; Bo Zhang 010 (AISTATS, 2020)

Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds. - Yueru Li; Shuyu Cheng; Hang Su 006; Jun Zhu 001 (ECCV (28), 2020)

Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks. - Chen Ma 003; Shuyu Cheng; Li Chen 031; Junhai Yong (CoRR, 2020)

On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms. - Shuyu Cheng; Guoqiang Wu; Jun Zhu 001 (NeurIPS, 2021)

Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior. - Yinpeng Dong; Shuyu Cheng; Tianyu Pang; Hang Su 006; Jun Zhu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Research on Transportation Mode Recognition Based on Multi-Head Attention Temporal Convolutional Network. - Shuyu Cheng; Yingan Liu (Sensors, 2023)

Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. - Shuyu Cheng; Yibo Miao; Yinpeng Dong; Xiao Yang; Xiao-Shan Gao; Jun Zhu 001 (ICML, 2024)

Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors. - Chen Ma 003; Xinjie Xu; Shuyu Cheng; Qi Xuan (ICLR, 2025)