| 2025 | EMNLP | UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation. | Yuanzhang Lin, Zhe Zhang, He Rui, Qingao Dong, Mingyi Zhou, Jing Zhang, Xiang Gao, Hailong Sun |
| 2024 | AAAI | Concealing Sensitive Samples against Gradient Leakage in Federated Learning. | Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi |
| 2024 | ICSE | Investigating White-Box Attacks for On-Device Models. | Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li |
| 2024 | ISSTA | Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models. | Mingyi Zhou, Xiang Gao, Pei Liu, John Grundy, Chunyang Chen, Xiao Chen, Li Li |
| 2023 | ISSTA | ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems. | Mingyi Zhou, Xiang Gao, Jing Wu, John C. Grundy, Xiao Chen, Chunyang Chen, Li Li |
| 2021 | ICIG | Deep Learning-Based Regional Sub-models Integration for Parkinson's Disease Diagnosis Using Diffusion Tensor Imaging. | Hengling Zhao, Chih-Chien Tsai, Ce Zhu, Mingyi Zhou, Jiun-Jie Wang, Yipeng Liu |
| 2020 | CVPR | DaST: Data-Free Substitute Training for Adversarial Attacks. | Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu |