ClusterFL: a similarity-aware federated learning system for human activity recognition. - Xiaomin Ouyang; Zhiyuan Xie; Jiayu Zhou; Jianwei Huang 001; Guoliang Xing (MobiSys, 2021)

FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition. - Linlin Tu; Xiaomin Ouyang; Jiayu Zhou; Yuze He; Guoliang Xing (SenSys, 2021)

UltraDepth: Exposing High-Resolution Texture from Depth Cameras. - Zhiyuan Xie; Xiaomin Ouyang; Xiaoming Liu 002; Guoliang Xing (SenSys, 2021)

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 001 (MobiCom, 2022)

HiToF: a ToF camera system for capturing high-resolution textures. - Zhiyuan Xie; Xiaomin Ouyang; Li Pan 004; Wenrui Lu; Xiaoming Liu 002; Guoliang Xing (MobiCom, 2022)

Design and Deployment of Multi-Modal Federated Learning Systems for Alzheimer's Disease Monitoring. - Xiaomin Ouyang (MobiSys, 2023)

Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training. - Xiaomin Ouyang; Zhiyuan Xie; Heming Fu; Sitong Cheng; Li Pan 004; Neiwen Ling; Guoliang Xing; Jiayu Zhou; Jianwei Huang 001 (MobiSys, 2023)

Mozart: A Mobile ToF System for Sensing in the Dark through Phase Manipulation. - Zhiyuan Xie; Xiaomin Ouyang; Li Pan 004; Wenrui Lu; Guoliang Xing; Xiaoming Liu 002 (MobiSys, 2023)

ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease. - Xiaomin Ouyang; Xian Shuai; Yang Li 147; Li Pan 004; Xifan Zhang; Heming Fu; Xinyan Wang 003; Shihua Cao; Jiang Xin; Hazel Mok; Zhenyu Yan 002; Doris Sau-Fung Yu; et al. (CoRR, 2023)

Optimization Design for Federated Learning in Heterogeneous 6G Networks. - Bing Luo; Pengchao Han; Peng Sun 003; Xiaomin Ouyang; Jianwei Huang 001; Ningning Ding (IEEE Netw., 2023)

ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition. - Xiaomin Ouyang; Zhiyuan Xie; Jiayu Zhou; Guoliang Xing; Jianwei Huang 001 (ACM Trans. Sens. Networks, 2023)

Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics? - Ozan Baris Mulayim; Pengrui Quan; Liying Han; Xiaomin Ouyang; Dezhi Hong; Mario Bergés; Mani Srivastava 001 (BuildSys, 2024)

Fedkit: Enabling Cross-Platform Federated Learning for Android and iOS. - Sichang He; Beilong Tang; Boyan Zhang; Jiaoqi Shao; Xiaomin Ouyang; Daniel Nata Nugraha; Bing Luo (INFOCOM (Workshops), 2024)

FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. - Jason Wu; Ziqi Wang 001; Xiaomin Ouyang; Ho Lyun Jeong; Colin Samplawski; Lance M. Kaplan; Benjamin M. Marlin; Mani Srivastava 001 (IROS, 2024)

ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease. - Xiaomin Ouyang; Xian Shuai; Yang Li 147; Li Pan 004; Xifan Zhang; Heming Fu; Sitong Cheng; Xinyan Wang 003; Shihua Cao; Jiang Xin; Hazel Mok; Zhenyu Yan 002; et al. (MobiCom, 2024)

LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces. - Xiaomin Ouyang; Mani Srivastava 001 (CoRR, 2024)

Mozart: A Mobile ToF System for Sensing in the Dark Through Phase Manipulation. - Zhiyuan Xie; Xiaomin Ouyang; Li Pan 004; Guoliang Xing; Xiaoming Liu 002 (GetMobile Mob. Comput. Commun., 2024)

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT. - Xiaomin Ouyang; Jason Wu; Tomoyoshi Kimura; Yihan Lin; Gunjan Verma; Tarek F. Abdelzaher; Mani Srivastava 001 (SenSys, 2025)

Demo Abstract: An LLM-Powered Multimodal Mobile Sensing System for Personalized and Interactive Health Behavior Analysis. - Liyu Zhang 005; Yizhen Wang; Wenjie Du 004; Kwun Ho Liu; Xiaomin Ouyang (SenSys, 2025)

MMEdge: Real-time Multimodal Inference via Cross-Modal Speculative Sensing and Encoding. - Runxi Huang; Xiaomin Ouyang (HotMobile, 2025)

SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing. - Pengrui Quan; Xiaomin Ouyang; Jeya Vikranth Jeyakumar; Ziqi Wang 001; Yang Xing; Mani Srivastava 001 (HotMobile, 2025)

Towards a Performance-Driven Device-Edge-Cloud Relationship. - Pragya Sharma; Brian Wang; Xiaomin Ouyang; Rahal Nanayakkara; Bharathan Balaji; Paulo Tabuada; Mani B. Srivastava (HotMobile, 2025)

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals. - Tomoyoshi Kimura; Xinlin Li; Osama A. Hanna; Yatong Chen; Yizhuo Chen; Denizhan Kara; Tianshi Wang; Jinyang Li 004; Xiaomin Ouyang; Shengzhong Liu; Mani Srivastava 001; Suhas N. Diggavi; et al. (WWW, 2025)

NARCE: A Mamba-Based Neural Algorithmic Reasoner Framework for Online Complex Event Detection. - Liying Han; Gaofeng Dong; Xiaomin Ouyang; Lance M. Kaplan; Federico Cerutti 001; Mani Srivastava 001 (CoRR, 2025)

Toward Foundation Models for Online Complex Event Detection in CPS-IoT: A Case Study. - Liying Han; Gaofeng Dong; Xiaomin Ouyang; Lance M. Kaplan; Federico Cerutti 001; Mani Srivastava 001 (CoRR, 2025)

Can Time-Series Foundation Models Perform Building Energy Management Tasks? - Ozan Baris Mulayim; Pengrui Quan; Liying Han; Xiaomin Ouyang; Dezhi Hong; Mario Bergés; Mani Srivastava 001 (CoRR, 2025)