Xiaomin Ouyang

Orcid: 0000-0003-0710-0963

According to our database1, Xiaomin Ouyang authored at least 19 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Mozart: A Mobile ToF System for Sensing in the Dark Through Phase Manipulation.
GetMobile Mob. Comput. Commun., September, 2024

MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT.
CoRR, 2024

SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing.
CoRR, 2024

LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces.
CoRR, 2024

ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Fedkit: Enabling Cross-Platform Federated Learning for Android and iOS.
Proceedings of the IEEE INFOCOM 2024, 2024

Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics?
Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023
ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition.
ACM Trans. Sens. Networks, February, 2023

Optimization Design for Federated Learning in Heterogeneous 6G Networks.
IEEE Netw., 2023

ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease.
CoRR, 2023

Mozart: A Mobile ToF System for Sensing in the Dark through Phase Manipulation.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Design and Deployment of Multi-Modal Federated Learning Systems for Alzheimer's Disease Monitoring.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

2022
HiToF: a ToF camera system for capturing high-resolution textures.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Cosmo: contrastive fusion learning with small data for multimodal human activity recognition.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

2021
UltraDepth: Exposing High-Resolution Texture from Depth Cameras.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

ClusterFL: a similarity-aware federated learning system for human activity recognition.
Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021


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