Chengyuan Deng
Scholar

Chengyuan Deng

Google Scholar ID: QPaVr9QAAAAJ
Rutgers University
Machine LearningTheoretical Computer ScienceMusic
Citations & Impact
All-time
Citations
908
 
H-index
9
 
i10-index
8
 
Publications
19
 
Co-authors
11
list available
Contact
Resume (English only)
Academic Achievements
  • Publications: Multiple papers accepted by top conferences such as NeurIPS, ICLR, ICALP, etc.; Awards: Invited talk on 'Low Sensitivity Hopsets'.
Research Experience
  • Position: PhD Student; Work Experience: Conducting research at Rutgers Theory Group; Research Projects: Involves algorithm design, geometry, and trustworthy AI, among other areas.
Education
  • Degree: PhD Student; University: Rutgers Theory Group; Advisor: Jie Gao; Year: Fifth year; Major: Theoretical Computer Science and Machine Learning.
Background
  • Research Interests: Algorithm design, geometry, and trustworthy AI. Professional Field: Theoretical Computer Science and Machine Learning. Brief Introduction: Focuses on algorithm design for graph and geometry problems, as well as building the theoretical foundations of practical learning problems.
Miscellany
  • Personal Interests: A researcher and performer in classical music; Job Seeking: Looking for a postdoc or full-time position.