Papers
Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence, with Zhiqi Zhang, Dennis Zhang, Heng Zhang, Renyu Zhang, submitted.
- Efficient Algorithms for Minimizing Compositions of Convex Functions and Random Functions and Its Applications in Network Revenue Management with Xin Chen, Niao He, Yifan Hu, major revision in Operations Research.
- MSOM SIG Conference in SCM, 2022
- RMP Conference Spotlight, 2022
- Cold Start to Improve Market Thickness on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments, with Dennis Zhang, Heng Zhang, Renyu Zhang, and Xin Chen, Management Science (2022).
- Finalist, INFORMS Revenue Management and Pricing Section Jeff McGill Student Paper Prize, 2020
- MSOM SIG Conference in Service Management, 2022
- RMP Conference Spotlight, 2022
Conference Talks
- Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments
- 2022 Conference on Artificial Intelligence, Machine Learning, and Business Analytics, HBS. Dec. 2022
- INFORMS ISMS Conference, Online. Jun. 2022
- Efficient Algorithms for Minimizing Compositions of Convex Functions and Random Functions
- INFORMS Annual Meeting, Indianapolis, IN. Oct. 2022
- MSOM SIG in SCM, Munich, Germany. Jun. 2022
- INFORMS RMP Spotlight Session, Online. Jun. 2022
- POMS Annual Conference, Online. May. 2022
- Cold Start to Improve Market Thickness
- MSOM SIG in Service Management, Munich, Germany. Jun. 2022
- INFORMS RMP Spotlight Session, Online. Jun. 2022
- MIW, Online. May. 2022
- POMS Annual Conference, Online. May. 2022
- Cornell ORIE Young Researcher Workshop, Ithaca, NY. Oct. 2021
- INFORMS Annual Meeting, Online. Oct. 2021
Academic Services
- Reviewer for Manufacturing and Service Operations Management
- Session chair, INFORMS Annual Meeting, 2022