Wei Shen

My name is Wei Shen (沈为). I'm a master student at Wuhan University, under the supervision of Prof. Mang Ye. Before that, I obtained my B.S. degree from Wuhan University in 2023.

Email: weishen@whu.edu.cn / Scholar / Github

Research

My research interests include Privacy, Federated Learning, and Graph Learning. Feel free to get in touch with me if you are interested in collaborating!

	Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling [paper] [codes] Wei Shen, Mang Ye, Wenke Huang ACM Multimedia (ACM MM), 2024 We handle oversmoothing in GNNs from both instance and dimension cues.
	Securereid: Privacy-preserving anonymization for person re-identification [paper] [codes] Mang Ye, Wei Shen, Junwu Zhang, Yao Yang, Bo Du IEEE Transactions on Information Forensics and Security (TIFS), 2024 We propose a reversible anonymization method for person re-identifications with customized encryption.
	Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey [paper] [codes] Mang Ye, Wei Shen, Bo Du, Eduard Snezhko, Vassili Kovalev, Pong C. Yuen arXiv, 2024 We provide a literature review in VFL from Effectiveness, Security and Applicability.

Thanks for the template from Jon Barron's academic website.