Research
My research interest is building AI-powered mobile and IoT systems, with a primary focus on developing efficient machine learning and sensing systems for smart health applications.
- Machine learning systems for IoT: addresses real-world challenges for advancing ML in mobile/IoT systems, such as distributed and imperfect IoT data, scalability, limited resources, and real-world system dynamics.
- Smart health: design and deploy real-world IoT systems for personalized health monitoring and intervention, e.g., developing multi-modal federated learning systems for monitoring digital biomarkers of Alzheimer’s Disease.
- Mobile Sensing: enhance sensing quality with physics-strengthened AI techniques, e.g., exposing texture information from ToF cameras for sensing in the dark.
Key words of my recent research topics: Multi-Modal Sensing and Learning, Federated Learning Systems, Large Language Models, Activity Recognition, Digital Biomarkers, ToF Depth Sensing Systems.
Selected Awards
- Rising Stars in EECS, Georgia Institute of Technology, 2023
- Outstanding Doctoral Dissertation Award, ACM SIGBED China, 2023
- Best Paper Award (1/198), ACM MobiSys, 2023
- Best Presentation Award of Rising Stars Forum, ACM MobiSys, 2023
- N2Women Young Researcher Fellowship, ACM MobiSys, 2023
- Reaching Out Award, The Chinese University of Hong Kong, 2023
- Student Travel Grant, ACM MobiCom 2022 & ACM MobiSys 2023
- National Scholarship (highest honor in China), Ministry of Education of China, 2018 & 2017 & 2016
- First Prize (1.8% of 14406 teams) of National Undergraduate Electronic Design Contest, 2017
Major Publications
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LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
Xiaomin Ouyang, Mani Srivastava
[SenSys-ML 2024] The 3rd Workshop on Machine Learning on Edge in Sensor Systems
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ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer’s Disease
Xiaomin Ouyang, Xian Shuai, Yang Li, Li Pan, Xifan Zhang, Heming Fu, Sitong Chen, Xinyan Wang, Shihua Cao, Jiang Xin, Hazel Mok, Zhenyu Yan, Doris Yu, Timothy Kwok, Guoliang Xing
[MobiCom 2024] In the 30th Annual International Conference On Mobile Computing And Networking (Winter Acceptance ratio: 48/207=23.1%)
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Mozart: A Mobile ToF System for Sensing in the Dark through Phase Manipulation
Zhiyuan Xie*, Xiaomin Ouyang* (*co-first authors), Li Pan, Wenrui Lu, Guoliang Xing, Xiaoming Liu
[MobiSys 2023] In the 21th Annual International Conference on Mobile Systems, Applications, and Services (Acceptance ratio: 41/198=20.7%)
Best Paper Award (1 out of 198 submissions)
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Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training
Xiaomin Ouyang, Zhiyuan Xie, Heming Fu, Sitong Cheng, Li Pan, Neiwen Ling, Guoliang Xing, Jiayu Zhou, Jianwei Huang
[MobiSys 2023] In the 21th Annual International Conference on Mobile Systems, Applications, and Services (Acceptance ratio: 41/198=20.7%)
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Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition
Xiaomin Ouyang, Xian Shuai, Jiayu Zhou, Ivy Wang Shi, Zhiyuan Xie, Guoliang Xing, Jianwei Huang
[MobiCom 2022] In the 28th Annual International Conference On Mobile Computing And Networking (Acceptance ratio: 56/314=17.8%)
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ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition
Xiaomin Ouyang, Zhiyuan Xie, Jiayu Zhou, Jianwei Huang, Guoliang Xing
[MobiSys 2021] In the 19th Annual International Conference on Mobile Systems, Applications, and Services (Acceptance ratio: 36/166=21.6%)
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Other Publications
- ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition [ paper]
Xiaomin Ouyang, Zhiyuan Xie, Jiayu Zhou, Guoliang Xing, Jianwei Huang
[TOSN] ACM Transactions on Sensor Networks, 2022
- FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition
[ paper]
[ video]
[ sldies]
Linlin Tu, Xiaomin Ouyang, Jiayu Zhou, Yuze He, Guoliang Xing
[SenSys 2021] In the 19th ACM Conference on Embedded Networked Sensor Systems (Acceptance ratio: 25/139=17.9%)
- UltraDepth: Exposing High-resolution Texture from Depth Cameras
[ paper]
[ video]
[ sldies]
Zhiyuan Xie, Xiaomin Ouyang, Xiaoming Liu, Guoliang Xing
[SenSys 2021] In the 19th ACM Conference on Embedded Networked Sensor Systems (Acceptance ratio: 25/139=17.9%)
- HiToF: A ToF Camera System for Capturing High-Resolution Textures
[ paper]
Zhiyuan Xie, Xiaomin Ouyang, Li Pan, Wenrui Lu, Xiaoming Liu, Guoliang Xing
[MobiCom 2022 Demo] In the 28th Annual International Conference On Mobile Computing And Networking
- Optimization Design for Federated Learning in Heterogeneous 6G Networks
[ paper]
Bing Luo, Xiaomin Ouyang, Peng Sun, Pengchao Han, Ningning Ding, Jianwei Huang
IEEE Network, 2023.
Teaching Experience
Mentering Experience
- Pengrui Quan/Gaofeng Dong/Pragya Sharma/Jason Wu, Ph.D. Students at UCLA (with Prof. Mani Srivastava)
- Yolanda Lau, Ph.D. Student at Department of Psychology, University College London (invited in the thesis committee)
- Yang Li, Ph.D. Student at CUHK (with Prof. Guoliang Xing)
- Zihan Li, Undergraduate Student at CUHK-SZ (a first-author paper under submission)
- Shangcheng Jin, Visiting Undergraduate Student at CUHK (final year project)
- Kaiwei Liu, Visiting Undergraduate Student at CUHK (final year project)
- Qidong Zhai and Nan Zhang, Master Students at CUHK (final year projects)
- Hoiying Siu and Jiaying Cheng, Undergraduate Students at CUHK (final year projects)
Teaching Assistant
- IERG3310: Computer Networks, 2019 Fall/2020 Spring/2021 Spring/2022 Spring, CUHK
- IERG1810: Electronic Circuit Design Laboratory, 2020 Fall/2021 Fall, CUHK
Professional Services
Organizing Committee Member
- TPC Co-Chair of FMSys Workshop 2024
- Web Chair of ACM/IEEE IPSN 2024
- Organizer of N2Women (Networking Networking Women) Meeting at ACM MobiSys 2023
Technical Program Committee Member
- IEEE ICDCS 2024
- ACM MobiCom 2024 Artifact Evaluation
- ACM MobiSys 2024 Artifact Evaluation
- ACM MobiSys 2024 Rising Star Forum
- ACM Ubicom/ISWC 2024 Notes and Briefs
- ACM/IEEE IoTDI Posters/Demos Program, 2023 and 2024
- ACM SenSys 2022 Shadow Program
Invited Reviewer
- IEEE INFOCOM 2022, ACM IMWUT/UbiComp 2022, 2023, 2024, ACM KDD 2021
- IEEE Transactions on Mobile Computing (TMC), IEEE/ACM Transactions on Networking (ToN), ACM Transactions on Sensor Networks (TOSN), IEEE Internet of Things Journal (IoTJ), International Journal of Computer Vision (IJCV), IEEE Transactions on Network and Service Management (TNSM)
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