| 2025 | ICCV | AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts. | Yufan Liu, Wanqian Zhang, Huashan Chen, Lin Wang, Xiaojun Jia, Zheng Lin, Weiping Wang |
| 2025 | SIGIR | Two-Stage Adversarial Training for Deep Hashing via Representation Distillation. | Fei Zhu, Huashan Chen, Wanqian Zhang, Lin Wang, Zheng Lin, Bo Li |
| 2024 | HPCC | A Learning-Based POMDP Approach for Adaptive Cyber Defense Against Multi-Stage Attacks. | Yuantian Zhang, Weixia Cai, Huashan Chen, Zhenyu Qi, Hong Chen, Feng Liu, Sen He |
| 2023 | KDD | Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. | Yangyang Wang, Xiao Zhang, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu |
| 2022 | HPCC | Optimal strategy selection for attack graph games using deep reinforcement learning. | Yuantian Zhang, Feng Liu, Huashan Chen |
| 2022 | UIC | Optimal Strategy Selection for Cyber Deception via Deep Reinforcement Learning. | Yuantian Zhang, Feng Liu, Huashan Chen |
| 2006 | ICNC | Improved Approach of Genetic Programming and Applications for Data Mining. | Yongqiang Zhang, Huashan Chen |
| 2006 | ISDA | Predicting for MTBF Failure Data Series of Software Reliability by Genetic Programming Algorithm. | Yongqiang Zhang, Huashan Chen |