Haibo Yang
Scholar

Haibo Yang

Google Scholar ID: eyy22VoAAAAJ
Rochester Institute of Technology
Federated LearningOptimizationMachine Learning
Citations & Impact
All-time
Citations
798
 
H-index
12
 
i10-index
14
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Multiple papers accepted at top conferences such as NeurIPS 2025 and ICML 2024; received NIH Award to support research on AI for drug discovery and molecular design; supervised a master student who won the 2nd Best Poster Award in the CS Department.
Research Experience
  • Looking for 2-3 Ph.D. students to focus on AI for drug discovery and molecular design, as well as deep learning and optimization theory. Encourages applications from students with backgrounds in statistics, mathematics, optimization, computer science, electrical engineering, biology, and physics.
Education
  • Ph.D. from the Dept. of Electrical and Computer Engineering at Ohio State University, advised by Prof. Jia (Kevin) Liu.
Background
  • Research Interests: Distributed/Federated Learning, Optimization Algorithms, Robust Machine Learning, AI for Drug Discovery. Professional Field: Computing and Information Sciences. Brief Introduction: Haibo Yang is an Assistant Professor in the Dept. of Computing and Information Sciences at Golisano College of Computing and Information Sciences, Rochester Institute of Technology.
Miscellany
  • Contact Information: Rm 74-1073, 102 Lomb Memorial Dr., Rochester, NY, U.S.A. Email: hbycis [at] rit.edu Phone: 585-475-2571
Co-authors
0 total
Co-authors: 0 (list not available)