Jibang Wu
Scholar

Jibang Wu

Google Scholar ID: 2b4L6hEAAAAJ
University of Chicago
Algorithmic Game TheoryMachine LearningRecommendation Systems
Citations & Impact
All-time
Citations
371
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Received the Stigler Center Ph.D. Dissertation Award (Oct 2024)
  • Published multiple working papers and conference papers, including:
  • — 'A Truth Serum for Eliciting Self-Evaluations in Scientific Reviews' (R&R at Operations Research)
  • — 'Contractual Reinforcement Learning: Pulling Arms with Invisible Hands' (arXiv:2407.01458, 2024)
  • — 'Grounded Persuasive Language Generation for Automated Marketing' (preprint, 2024)
  • — 'Auctioning with Strategically Reticent Bidders' (WINE 2024)
  • — 'Generalized Principal-Agency: Contracts, Information, Games and Beyond' (WINE 2024)
  • — 'Robust Stackelberg Equilibria' (EC 2023, Major Revision at Mathematical Programming)
Background
  • PhD student at Sigma Lab, University of Chicago, advised by Prof. Haifeng Xu
  • Research lies at the intersection of game theory, learning theory, and optimization, focusing on multi-agent decision-making under complex and unknown environments
  • Aims to advance design principles of intelligent systems toward 'strategic alignment'—aligning stakeholder interests for mutually beneficial outcomes
  • Interested in developing practical techniques to: 1) build incentive-aware AI agents with strategic intelligence and rationalizable behaviors; 2) align economic incentives among users, model developers, and data providers for sustainable AI ecosystems
  • On the academic job market for 2024–2025