Weishan Zhang

(email: wzhang23@gmu.edu)

I am currently a PhD candidate with Department of Electrical and Computer Engineering at George Mason University, advised by Professor Zhi (Gerry) Tian. I recevied my B.S. degree in Electronic Science and Technology from University of Science and Technology of China, Hefei, China, in 2018. My general interests are in the areas of distributed machine learning and spectrum estimation.

Research Interests

• Distributed machine learning and federated learning.

• Deep learning-based spectrum sensing.

• Deep learning-based radio map estimation (RME).

Publications

Journal papers

• Zhang, Weishan, Yue Wang, Xiang Chen, Zhipeng Cai, and Zhi Tian. "Spectrum Transformer: An Attention-based Wideband Spectrum Detector." IEEE Transactions on Wireless Communications (2024).

• Zhang, Weishan, Yue Wang, Xiang Chen, Lingjia Liu, and Zhi Tian. "Collaborative Learning Based Spectrum Sensing Under Partial Observations." IEEE Transactions on Cognitive Communications and Networking (2024).

Conference papers

• Zhang, Weishan, Yue Wang, Xiang Chen, and Zhi Tian. "FedRME: Distributed Radiomap Estimation via Federated Learning." In 2024 IEEE 100th Vehicular Technology Conference (VTC), Early Access. IEEE, 2024.

• Zhang, Weishan, Yue Wang, Xiang Chen, and Zhi Tian. "Spectrum Transformer: Wideband Spectrum Sensing using Multi-Head Self-Attention." In 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 101-105. IEEE, 2023.

• Zhang, Weishan, Yue Wang, Fuxun Yu, Zhuwei Qin, Xiang Chen, and Zhi Tian. "Wideband spectrum sensing based on collaborative multi-task learning." In 2022 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 01-06. IEEE, 2022.

• Yu, Fuxun, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, and Xiang Chen. "Fed2: Feature-aligned federated learning." In Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining, pp. 2066-2074. 2021.

Professional Activities

Teaching experience

• Teaching assistant for Signals and Systems Recitation , GMU, Fall, 2024.

• Teaching assistant for Signals and Systems Lab, GMU, Spring, 2024.

• Teaching assistant for Signals and Systems Lab and Recitation, GMU, Fall, 2023.

• Teaching assistant for Signals and Systems Lab, GMU, Spring, 2023.

• Teaching assistant for Advanced Learning from Data, GMU, Spring, 2022.

• Teaching assistant for Intro to Signals and Systems Lab, GMU, Fall, 2021.

• Teaching assistant for Digital Electronics, GMU, Fall, 2018.

• Teaching assistant for Digital Electronics, GMU, Spring, 2019.

• Teaching assistant for Linear Electronics, GMU, Spring, 2019.

• Teaching assistant for Introduction to Engineering, GMU, Fall, 2018.