Xiaomin Ouyang

Orcid: 0000-0003-0710-0963

According to our database1, Xiaomin Ouyang authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

FedKit: Enabling Cross-Platform Federated Learning for Android and iOS.
CoRR, 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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