Introduction
I am a Ph.D. student at University of Virginia, advised by Prof. Zhe Zeng.
My research focuses on Trustworthy AI and Federated Learning.
I am broadly interested in building reliable generative models and understanding their training dynamics.
Previously, I obtained my M.Phil. degree in Computer and Inormation Science from The Chinese University of Hong Kong, Shenzhen, supervised by Prof. Xiaoying Tang.
I received my B.S. degree in Computer Science and Technology from Shaanxi Normal University in 2023.
Publication
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ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging AnalysisXinpeng Wang, Rong Zhou, Han Xie, Xiaoying Tang, Lifang He, Carl Yang. EMBC 2025.
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FedCCRL: Federated Domain Generalization with Cross-Client Representation LearningXinpeng Wang, Yongxin Guo, Xiaoying Tang. Preprint.
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Descalloping of GF-3 ScanSAR Image Based on Self-attention Mechanism and CycleGANZengguo Sun, Xuejun Peng, Huixia Liu, Weirong Chen, Xinpeng Wang. Journal of Optoelectronics·Laser.
Education
Ph.D., Computer & Information Sciences — University of Virginia
Advisor: Prof. Zhe Zeng
2025 – Present
M.Phil., Computer & Information Engineering — The Chinese University of Hong Kong, Shenzhen
Advisor: Prof. Xiaoying Tang
2023 – 2025
B.S., Computer Science & Technology — Shaanxi Normal University
2019 – 2023
Project
- FL-Bench — Benchmark of federated learning. Dedicated to the community.