Research

I am currently working at the intersection of OR and AI, spanning preference learning, LLM post-training, revenue management, and smart cities.

Methodologies: AI/ML, ranking and choice models, active learning, and data-driven modeling
Applications: LLM post-training, human preference learning, and e-commerce

Publications

• Beyond Pairwise: Empowering LLM Alignment With Ranked Choice Modeling with Yifan Feng

  The Fourteenth International Conference on Learning Representations (ICLR '26)

• On a Mallows-type Model for Ranked Choices with Yifan Feng

  The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS '22)

Working Papers

• A Mallows-type Model for Preference Learning from Ranked Choices with Yifan Feng

  Under second-round revision at Management Science
  Featured in EC25 Workshop on New Directions in Social Choice (Spotlight), 2025
  Finalist, POMS-HK Best Student Paper Award Competition, 2025
  Third Prize, CSAMSE Best Paper Award Competition, 2023
  Preliminary version accepted at NeurIPS, 2022

• Add-to-Order under Contingent Free Shipping on Online Grocery Platforms with Xiaobo Li, Rowan Wang, and Xuan Wang

  Under Review