publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. Transfer learning for text diffusion models
    Kehang Han, Kathleen Kenealy, Aditya Barua, and 2 more authors
    arXiv preprint arXiv:2401.17181, 2024
  2. Simplified and Generalized Masked Diffusion for Discrete Data
    Jiaxin Shi, Kehang Han, Zhe Wang, and 2 more authors
    arXiv preprint arXiv:2406.04329, 2024

2023

  1. Scaling up models and data with t5x and seqio
    Adam Roberts, Hyung Won Chung, Gaurav Mishra, and 8 more authors
    Journal of Machine Learning Research, 2023
  2. Gemini: a family of highly capable multimodal models
    Gemini Team, Rohan Anil, Sebastian Borgeaud, and 8 more authors
    arXiv preprint arXiv:2312.11805, 2023
  3. Rt-2: Vision-language-action models transfer web knowledge to robotic control
    Brianna Zitkovich, Tianhe Yu, Sichun Xu, and 8 more authors
    In Conference on Robot Learning, 2023

2022

  1. Plex: Towards reliability using pretrained large model extensions
    Dustin Tran, Jeremiah Liu, Michael W Dusenberry, and 8 more authors
    arXiv preprint arXiv:2207.07411, 2022

2021

  1. Reaction mechanism generator v3. 0: advances in automatic mechanism generation
    Mengjie Liu, Alon Grinberg Dana, Matthew S Johnson, and 8 more authors
    Journal of Chemical Information and Modeling, 2021
  2. Reliable graph neural networks for drug discovery under distributional shift
    Kehang Han, Balaji Lakshminarayanan, and Jeremiah Liu
    arXiv preprint arXiv:2111.12951, 2021

2019

  1. Self-evolving machine: A continuously improving model for molecular thermochemistry
    Yi-Pei Li, Kehang Han, Colin A Grambow, and 1 more author
    The Journal of Physical Chemistry A, 2019

2018

  1. An Extended Group Additivity Method for Polycyclic Thermochemistry Estimation
    Kehang Han, Adeel Jamal, Colin A Grambow, and 2 more authors
    International Journal of Chemical Kinetics, 2018

2017

  1. On-the-fly pruning for rate-based reaction mechanism generation
    Kehang Han, William H Green, and Richard H West
    Computers & Chemical Engineering, 2017

2013

  1. Systematic optimization model and algorithm for binding sequence selection in computational enzyme design
    Xiaoqiang Huang, Kehang Han, and Yushan Zhu
    Protein Science, 2013