Scholar
Chengyu Song
Google Scholar ID: EoypoXAAAAAJ
UC Riverside
Citations & Impact
Citations
3,901
H-index
33
i10-index
54
Publications
20
Co-authors
18
list available
Contact
Publications
Resume (English only)
Academic Achievements
- NSF CAREER Award (2021)
- RAID'19 Best Paper Award (2019)
- WOOT'18 Best Paper Award (2018)
- DARPA Cyber Grand Challenge Finalist (Team Disekt, 2016)
- Internet Defense Prize by Facebook and USENIX ($100,000 award, 2015)
- CSAW Best Applied Research Paper Award (2015)
- Published extensively in top-tier venues including USENIX Security, Oakland (S&P), NDSS, CCS, FSE, CVPR, AAAI, NeurIPS, ISCA, and EMNLP, covering automated test generation, static bug detection, automated vulnerability elimination, novel attacks, and attack mitigation
Background
- Associate Professor in the Department of Computer Science and Engineering at University of California, Riverside
- Research interests include system security, deep learning, program analysis and verification, and operating systems
- Current research focuses on vulnerability-related topics, including:
- - Advancing techniques for finding vulnerabilities
- - Eliminating vulnerabilities through automatic code transformation and verification
- - New exploit techniques and automated exploit generation
- - Runtime exploit prevention with software-hardware co-design
