Duo Zhou
Scholar

Duo Zhou

Google Scholar ID: QnBzRsIAAAAJ
Computer Science, University of Illinois Urbana Champaign
OptimizationMachine LearningTrustworthy AI
Citations & Impact
All-time
Citations
42
 
H-index
2
 
i10-index
2
 
Publications
6
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top conferences like AAAI, NeurIPS, and won both Regular & Extended Track in VNN-COMP 2025 and 2024, among other honors.
Research Experience
  • Research spans distribution shift, adversarial robustness, neural network verification, reinforcement learning, online learning, game-theoretic methods, and optimal control. Involved in projects such as DR-SAC, ShortageSim, and distributionally robust path-integral control.
Education
  • Student of Computer Science at the University of Illinois Urbana-Champaign (UIUC)
Background
  • A student of computer science with research interests in AI Safety, focusing on trustworthy machine learning, decision making under uncertainty, and optimization & learning theory foundations.
Miscellany
  • Reviewer for NeurIPS, ICLR, ICML, AAAI