Xiaomin OUYANG
| xmouyang@cse.ust.hk | |
| (852) 2358 8330 | |
| Room 3562, Academic Building | |
| Website | |
| @Xiaomin_Ouyang |
Xiaomin OUYANG
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Areas of Expertise
Smart Healthcare, Artificial intelligence, Internet of Things, Mobile computing, Alzheimer’s Disease
Short Bio
Xiaomin Ouyang is an Assistant Professor at CSE. Previously, she was a postdoctoral researcher at UCLA and received her Ph.D. degree from CUHK. Her research interest is building AI-powered mobile and Internet of Things (IoT) systems for smart health applications. Her work bridges artificial intelligence, ubiquitous computing, and Internet of Things to create next-generation personalized healthcare solutions. She leads interdisciplinary teams to design and deploy AI and IoT systems for personalized health monitoring and intervention, e.g., monitoring digital biomarkers of Alzheimer’s Disease in a clinical trial. She received the ACM MobiSys 2023 Best Paper Award and ACM SIGBED China Outstanding Doctoral Dissertation Award. She was named one of EECS Rising Stars in 2023 and mHealth Scholars by NIH in the U.S. in 2024.
Selected papers and publications
- Ouyang, Xiaomin, Xian Shuai, Yang Li, Li Pan, Xifan Zhang, Heming Fu, Sitong Cheng et al. "ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease." In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, pp. 404-419. 2024.
- Xie, Zhiyuan, Xiaomin Ouyang, Li Pan, Wenrui Lu, Guoliang Xing, and Xiaoming Liu. "Mozart: A mobile tof system for sensing in the dark through phase manipulation." In Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services, pp. 163-176. 2023. Best Paper Award.
- Ouyang, Xiaomin, Xian Shuai, Jiayu Zhou, Ivy Wang Shi, Zhiyuan Xie, Guoliang Xing, and Jianwei Huang. "Cosmo: contrastive fusion learning with small data for multimodal human activity recognition." In Proceedings of the 28th Annual International Conference on Mobile Computing And Networking, pp. 324-337. 2022.
- Ouyang, Xiaomin, Zhiyuan Xie, Jiayu Zhou, Jianwei Huang, and Guoliang Xing. "Clusterfl: a similarity-aware federated learning system for human activity recognition." In Proceedings of the 19th annual international conference on mobile systems, applications, and services, pp. 54-66. 2021.
