Sheng Yu (余晟)

PhD Candidate
Department of Computer Science
University of California, Riverside
email: syu061_at_ucr.edu

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About me

I'm a Computer Science Ph.D. candidate at UC Riverside, advised by Prof. Heng Yin. I'm also working at Deepbits. My research interests mainly lie in Computer Security. I work on applying machine learning techniques in binary analysis, including reverse engineering, malware detection and analysis, vulnerability discovery, binary composition analysis, etc.



Publications

[USENIX Security'22] Sheng Yu, Yu Qu, Xunchao Hu, and Heng Yin, DeepDi: Learning a Relational Graph Convolutional Network Model on Instructions for Fast and Accurate Disassembly, to appear in the 31st USENIX Security Symposium, August 2022.



Image by Xuezixiang Li