Yanghao Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Eligibility Traces

Diffusion Models

Partially Observable Domains

Reinforcement Learning Problems

Top Venues

Artif. Intell. Rev.

Publications

Ming Zhang, Yi Hu, Xiangchun Liu, Yanghao Zhang, Quan Yi, Wei Song
UAV Swarm Path Planning Algorithm Based on Starling Flocking. CSCWD (2024)
Tianle Zhang, Jiaxu Liu, Yanghao Zhang, Ronghui Mu, Wenjie Ruan
DeepGRE: Global Robustness Evaluation of Deep Neural Networks. ICASSP (2024)
Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang
Safeguarding Large Language Models: A Survey. CoRR (2024)
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57 (7) (2024)
Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan
Reward Certification for Policy Smoothed Reinforcement Learning. AAAI (2024)
Wei Song, Wen Ma, Ming Zhang, Yanghao Zhang, Xiaobing Zhao
Lightweight diffusion models: a survey. Artif. Intell. Rev. 57 (6) (2024)
Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan
Towards Fairness-Aware Adversarial Learning. CoRR (2024)
Fu Wang, Zeyu Fu, Yanghao Zhang, Wenjie Ruan
Self-adaptive Adversarial Training for Robust Medical Segmentation. MICCAI (3) (2023)
Ronghui Mu, Leandro Soriano Marcolino, Tianle Zhang, Yanghao Zhang, Xiaowei Huang, Wenjie Ruan
Reward Certification for Policy Smoothed Reinforcement Learning. CoRR (2023)
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR (2023)
Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang
Generalizing universal adversarial perturbations for deep neural networks. Mach. Learn. 112 (5) (2023)
Fu Wang, Yanghao Zhang, Yanbin Zheng, Wenjie Ruan
Gradient-Guided Dynamic Efficient Adversarial Training. CoRR (2021)
Nicolas Berthier, Youcheng Sun, Wei Huang, Yanghao Zhang, Wenjie Ruan, Xiaowei Huang
Tutorials on Testing Neural Networks. CoRR (2021)
Yanghao Zhang, Fu Wang, Wenjie Ruan
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks. CoRR (2021)
Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations. ICDM (2020)
Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations. CoRR (2020)
Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou
Dual sparse learning via data augmentation for robust facial image classification. Int. J. Mach. Learn. Cybern. 11 (8) (2020)
Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou
Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification. ACML (2018)