Research

Publications

  1. When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions
    Zhening Li, Gabriel Poesia, Armando Solar-Lezama
    Proceedings of the 41st International Conference on Machine Learning, 2024
  2. Predictive Chemistry Augmented with Text Retrieval
    Yujie Qian, Zhening Li, Zhengkai Tu, Connor Coley, Regina Barzilay
    Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
  3. MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation
    Yujie Qian, Jiang Guo, Zhengkai Tu, Zhening Li, Connor W Coley, Regina Barzilay
    Journal of Chemical Information Modeling 63(7), 2023
  4. LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions
    Zhening Li*, Gabriel Poesia*, Omar Costilla-Reyes, Noah Goodman, Armando Solar-Lezama
    MATH-AI Workshop at NeurIPS, 2022

Preprints

  1. Nestedness Promotes Stability in Maximum-Entropy Bipartite Food Webs
    Zhening Li, John Harte
    arXiv preprint arXiv:2401.04815, 2024

Invited talks

  1. Predictive Chemistry Augmented with Text Retrieval (video link)
    Molecular Modeling & Drug Discovery (M2D2) Reading Group, Valence Labs

Service

  • AI@MIT reading group co-organizer (2024–2025)
  • Reviewer for ICLR 2025
  • Reviewer for MATH-AI Workshop at NeurIPS 2024