Ling Pan
Scholar

Ling Pan

Google Scholar ID: 9XrWuI8AAAAJ
Assistant Professor, Hong Kong University of Science and Technology
Reinforcement LearningMulti-Agent Systems
Citations & Impact
All-time
Citations
1,109
 
H-index
16
 
i10-index
19
 
Publications
20
 
Co-authors
20
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Selected for AAAI New Faculty Highlights program, 2025
  • Outstanding Doctoral Thesis Award, Tsinghua University, 2022 (only computer science thesis selected from IIIS that year)
  • Microsoft Research Ph.D. Fellowship (Asia), 2020
  • Serves as Area Chair for top ML venues: NeurIPS, ICLR, RLC
  • Senior Program Committee (SPC) member for AAMAS
  • Program Committee member for ICML, NeurIPS, ICLR, AAAI, TMLR, TPAMI
  • Organized Safe Generative AI Workshop @ NeurIPS 2024, Agent-based Information Retrieval Workshop @ SIGIR 2024/2025, GFlowNet Workshop @ Mila 2023
  • Invited talks at MIT CSAIL, UC Berkeley BAIR, RLChina 2023/2024
Background
  • Tenure-Track Assistant Professor in the Department of Electronic and Computer Engineering at Hong Kong University of Science and Technology (HKUST) since Spring 2024
  • Also holds a courtesy appointment in the Department of Computer Science and Engineering
  • Research focuses on theoretical understanding, algorithmic improvements, and practical applications of (reward-maximizing) deep reinforcement learning, (reward-matching) GFlowNets, and multi-agent systems
  • Aims to develop robust, efficient, and practical intelligent decision-making algorithms
  • Interested in applying decision-making algorithms to scientific discovery, computational sustainability, and post-training of foundation models