Sishuai Gong
Finance Assistant · University of North Carolina at Chapel Hill · University of North Carolina--Chapel Hill
Quick answer: Sishuai Gong is Finance Assistant at University of North Carolina--Chapel Hill. Sishuai Gong shows an active PhD hiring signal as of 2026-09-11.
⭐ I am looking for Ph.D. students and research interns! If you’re interested, please email me your CV and transcripts.
Research interests
My research focuses on system reliability and security. In particular, I develop interdisciplinary techniques that draw on machine learning, software engineering, and computer architecture to understand and tackle the challenges of building complex, large-scale software systems.
Selected publications (since 2023)
A Comprehensive Study of Concurrency Bugs in the Linux Kernel
Sishuai Gong, Chih-En Lin, Kevin Wu, Edwin Lu, Pedro Fonseca.
In the 48th IEEE/ACM International Conference on Software Engineering (ICSE'26)
[pdf]
KRR: Efficient and Scalable Kernel Record Replay
Tianren Zhang, Sishuai Gong, Pedro Fonseca.
In the 19th USENIX Symposium on Operating Systems Design and Implementation (OSDI'25)
[pdf] [code]
Snowplow: Effective Kernel Fuzzing with a Learned White-box Test Mutator
Sishuai Gong, Rui Wang, Deniz Altınbüken, Pedro Fonseca, Petros Maniatis.
In the 30th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'25)
[pdf] [code]
VeriSMo: A Verified Security Module for Confidential VMs
Ziqiao Zhou, Anjali, Weiteng Chen, Sishuai Gong, Chris Hawblitzel, Wei
Frequently asked questions
Is Sishuai Gong hiring PhD students at University of North Carolina--Chapel Hill?
Yes. As of 2026-09-11, Sishuai Gong's faculty page shows a PhD hiring signal: I am looking for Ph.D. students and research interns! If you’re interested, please email me your CV and transcripts..
What does Sishuai Gong research?
My research focuses on system reliability and security. In particular, I develop interdisciplinary techniques that draw on machine learning, software engineering, and computer architecture to understand and tackle the challenges of building complex, large-scale software systems.
Data last updated: 2026-09-11 · Source: phd-match.com faculty database.
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