Donglin Zhan
Scholar

Donglin Zhan

Google Scholar ID: SkUje2YAAAAJ
Columbia University
time seriesoptimizationreinforcement learningLLM agentcontrol theory
Citations & Impact
All-time
Citations
178
 
H-index
8
 
i10-index
7
 
Publications
18
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in IEEE Conference on Decision and Control, Learning for Dynamics and Control Conference, CVPR Workshop, NeurIPS, INFORMS Journal on Computing, CHIL, SDM, and other conferences and journals. Received the Best Paper Award at L4DC 2024.
Research Experience
  • Conducted research at Columbia University, involved in various projects including Bayesian optimization, meta-reinforcement learning, linear quadratic regulators, etc.
Education
  • Ph.D. student at Columbia University (Advisor: James Anderson), Bachelor's degree in Mathematics from Sichuan University.
Background
  • Research interests: Machine Learning, Data Mining, Optimization and Control Theory. Recently, more focused on agentic AI and world model, particularly for complex planning and algorithmic trading.
Miscellany
  • Admires Icarus from Greek mythology, wishes to always be brave in pursuing the life he wants.