Research

AI + OM

Overall, I am committed to data-driven, practice-oriented, and interdisciplinary research.

Methodologies: AI/ML, Ranking/Choice Model, Active Learning, Data-Driven Modeling

Applications: LLM Post-training, Human Preference Learning, E-commerce

Published Papers

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

Advances in Neural Information Processing Systems, 35, 2022: 3052–3065 (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

Beyond Pairwise: Empowering LLM Alignment With Ranked Choice Modeling, with Yifan Feng
- Preliminary version accepted at ICLR, 2026

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

Work in Progress

Parameterizing the DAG-based Preference with Optimal Pricing Decision, with Xiaobo Li and Shuo Wang
Preference Modeling on Directed Acyclic Graph with the Mallows–RMJ Model.