Yuantong Li (李沅桐) Research Scientist Meta E-mail: liyuantong93 [@] gmail [DOT] com [Google Scholar] [Github] [LinkedIn] About me 2024 - Now, Research Scientist at Meta. 2019 - 2024, Ph.D. in Statistics at UCLA.

Research interests

I am currently focused on developing data-efficient reinforcement learning with human feedback (RLHF) to fine-tune large language models (LLMs) and pretraining the LLM for applications in search, recommendation, and advertising systems. I'm also interested in foundational research in bandit theory and RL, and designing and optimizing multi-agent systems within the social system.

Publications/Manuscripts

2024

• Dynamic Dynamic Bayesian Incentive Compatible for Recommendation In Online Two-Sided Market
  Y. Li, G. Cheng, X. Dai.
  submitted.
  

• Dynamic Matching Bandit For Two-Sided Online Markets
  Y. Li, C. Wang, G. Cheng, W. Sun.
  submitted.
  

• Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints
  Y. Li, G. Cheng, X. Dai.
  ICML 2024.
  

2023

• Discussion of ‘‘Estimating Means of Bounded Random Variables by Betting’’ by Waudby-Smith and Ramdas
  J. Li, Y. Li, X. Dai.
  JRSSB 2023.
  

2022

• Graph Federated Learning with Hidden Representation Sharing
  S. Wu, M. Zhang, Y. Li, C. Yang, P. Li.
  CIKM-FedGraph 2022.
  

• Residual Bootstrap Exploration for Stochastic Linear Bandit
  S. Wu, C. Wang, Y. Li, G. Cheng.
  UAI 2022.
  

• Debiasing Neural Retrieval via In-batch Balancing Regularization
  Y. Li, X. Wei, Z. Wang, S. Wang, P. Bhatia, X. Ma, and A. Arnold.
  NACCL Workshop 2022.
  

• Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning
  P. Ramprasad, Y. Li, Z. Yang, Z. Wang, W. Sun., and G. Cheng.
  JASA 2022.
  

2021

• Peel learning for pathway-related outcome prediction
  Y. Li, F. Wang, M. Yang, F. Yang, E. Cantu, H. Rao, and R. Feng.
  Bioinformatics 2021.
  

• Online Forgetting Process for Linear Regression Models
  Y. Li, C. Wang, and G. Cheng.
  AISTATS 2021.
  

2020

• A Non-Iterative Quantile Change Detection Method in Mixture Model with Heavy-Tailed Components
  Y. Li, Q. Ma, and S. K. Ghosh.
  KDD 2020.
  

• Interactive Attention Networks for Semantic Text Matching
  S. Zhao, Y. Huang, C. Su, Y. Li and F. Wang.
  ICDM 2020.