Jingwei Ji
Ph.D. student in Management Science and Engineering at Stanford University.
Email: jingwei [dot] ji [at] stanford [dot] edu
Advisor: Renyuan Xu
Research
My research studies decision making under structured data environments, including weak-to-strong learning, multi-task learning, online learning and bandits, stochastic optimization, sequential search and selection problems, risk-aware decision making, and off-policy evaluation.
Published Papers
- Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing. Jingwei Ji, Renyuan Xu, Ruihao Zhu. Operations Research, 2026.
- The Pandora's Box Problem with Sequential Inspections. Ali Aouad, Jingwei Ji, Yaron Shaposhnik. Operations Research, 2026.
- Foresee the Next Line: On Information Disclosure in Tandem Queues. Ran Snitkovsky, Ricky Roet-Green, Jingwei Ji. Operations Research, 2025.
Working Papers
- On Weak-to-Strong Framework in Decision Making. Jingwei Ji, Renyuan Xu.
- Multi-Task Dynamic Pricing in Credit Market with Contextual Information. Adel Javanmard, Jingwei Ji, Renyuan Xu.
- Online Optimization of Composition of Differences-of-Convex Functions with Smooth Mappings. Jingwei Ji, Jong-Shi Pang, Renyuan Xu.
- Risk of Bad Tails: CVaR-Aware Pandora's Box and Prophet Inequalities. Jingwei Ji.