• I am an Assistant Professor with Department of Computer Science at University of Wisconsin-Eau Cliare.

• Previously, I got my PhD from the ECE depatment at Utah State University, advised by Prof. Rose Hu.

• My research interests are machine learning application in wireless communication.

• I received my Bachelor’s Degree in SUSTech advised by Jin Zhang

Recent News

• 09/2024, Starting the Assistant Professor job at UW-Eau Claire.

• 08/2024, Graduated from Utah State University.

• 06/2024, ICC 2024 paper entitled CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning accepted, Xiang Ma, Qun Wang, Haijian Sun, Rose Q Hu, Yi Qian, available on arXiv

• 04/05/2023 WiseML 2023 paper entitled Approximate Wireless Communication for Federated Learning accepted, Xiang Ma, Haijian Sun, Rose Q Hu, Yi Qian, available on arXiv

• 08/02/2022 GlobeCom 2022 paper entitled A New Implementation of Federated Learning for Privacy and Security Enhancement accepted, Xiang Ma, Haijian Sun, Rose Q Hu, Yi Qian, available on arXiv

• 05/18/2022 I was elected to be a member of the graduate student council to represent college of engineering.

• 05/08/2022 I received IEEE ICC2022 NSF travel award.

• 03/01/2022 I passed the comprehensive exam and became a PhD candidate now.

• 08/03/2021 Paper review for TVT, VTM, TWC, WCM, WiseML21, ICCC2021.

• 07/11/2021 VTC2021 Fall paper entitled User Scheduling for Federated Learning Through Over-the-Air Computation accepted, Xiang Ma, Haijian Sun, Qun Wang, Rose Q Hu, available on arXiv

• 01/05/2021 Start to work as a TA for ECE 6600

• 08/31/2020 Start to work as a TA for ECE 5600 and RA for RFID project.

• 08/16/2020 GlobeCom 2020 paper entitled Scheduling Policy and Power Allocation for Federated Learning in NOMA based MEC accepted, Xiang Ma, Haijian Sun, Rose Q Hu, available on arXiv

• 07/23/2020 TVT paper entitled Adaptive Federated Learning With Gradient Compression in Uplink NOMA accepted. Haijian Sun, Xiang Ma, Rose Q Hu, available on arXiv