Furong Huang
Scholar

Furong Huang

Google Scholar ID: 13yyuCcAAAAJ
Associate Professor of Computer Science, University of Maryland
Trustworthy AI/MLReinforcement LearningGenerative AI
Citations & Impact
All-time
Citations
6,297
 
H-index
39
 
i10-index
86
 
Publications
20
 
Co-authors
186
list available
Resume (English only)
Academic Achievements
  • Multiple best paper awards
  • Research grants from DARPA, ONR, AFOSR, NASA, NSF, and industry partners including Capital One, JP Morgan, Microsoft, Adobe, and Peraton
  • Publications in top venues including NeurIPS, ICML, ICLR, and CVPR
  • In 2025, accepted multiple papers to NeurIPS (including one spotlight), CoRL, ICCV, CVPR, TMLR, and RLC
  • Delivered keynotes at major conferences and workshops including RLC, CVPR, ICLR, and the Texas Colloquium on Distributed Learning
Background
  • Associate Professor in the Department of Computer Science at the University of Maryland
  • Affiliated with the Center for Machine Learning at the Institute for Advanced Computer Studies, the Maryland Robotics Center, the Applied Mathematics, Statistics, and Scientific Computation Program, and the Department of Electrical and Computer Engineering
  • Research bridges trustworthy machine learning, sequential decision-making, and generative AI, with a strong emphasis on foundation models for robotics
  • Aims to build intelligent systems that are high-performing, reliable, interpretable, and aligned with human values
  • Combines theoretical rigor with real-world impact, focusing on robust, adaptable, and safe systems