Shuyu Cheng

According to our database, Shuyu Cheng authored at least 11 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks.

Xinjie Xu, Shuyu Cheng, Dongwei Xu, Qi Xuan, Chen Ma

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors.

Chen Ma, Xinjie Xu, Shuyu Cheng, Qi Xuan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Research on Transportation Mode Recognition Based on Multi-Head Attention Temporal Convolutional Network.

Shuyu Cheng, Yingan Liu

Sensors, April, 2023

2022

Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior.

Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms.

Shuyu Cheng, Guoqiang Wu, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Switching Gradient Directions for Query-Efficient Black-Box Adversarial Attacks.

Chen Ma, Shuyu Cheng, Li Chen, Junhai Yong

CoRR, 2020

Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds.

Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu

Proceedings of the Computer Vision - ECCV 2020, 2020

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models.

Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference.

Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li

Mach. Learn., 2019

Improving Black-box Adversarial Attacks with a Transfer-based Prior.

Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019