On-the-fly pruning for rate-based reaction mechanism generation. - Kehang Han; William H. Green Jr.; Richard H. West (Comput. Chem. Eng., 2017)

Scalability strategies for automated reaction mechanism generation. - Agnes Jocher; Nick M. Vandewiele; Kehang Han; Mengjie Liu; Connie W. Gao; Ryan J. Gillis; William H. Green Jr. (Comput. Chem. Eng., 2019)

Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift. - Kehang Han; Balaji Lakshminarayanan; Jeremiah Z. Liu (CoRR, 2021)

Reaction Mechanism Generator v3.0: Advances in Automatic Mechanism Generation. - Mengjie Liu; Alon Grinberg Dana; Matthew S. Johnson; Mark J. Goldman; Agnes Jocher; A. Mark Payne; Colin A. Grambow; Kehang Han; Nathan W. Yee; Emily J. Mazeau; Katrin Blondal; Richard H. West; et al. (J. Chem. Inf. Model., 2021)

Plex: Towards Reliability using Pretrained Large Model Extensions. - Dustin Tran; Jeremiah Z. Liu; Michael W. Dusenberry; Du Phan; Mark Collier; Jie Ren 006; Kehang Han; Zi Wang; Zelda Mariet; Huiyi Hu; Neil Band; Tim G. J. Rudner; et al. (CoRR, 2022)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Gaurav Mishra; Anselm Levskaya; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (J. Mach. Learn. Res., 2023)

Simplified and Generalized Masked Diffusion for Discrete Data. - Jiaxin Shi; Kehang Han; Zhe Wang; Arnaud Doucet; Michalis K. Titsias (NeurIPS, 2024)

Transfer Learning for Text Diffusion Models. - Kehang Han; Kathleen Kenealy; Aditya Barua; Noah Fiedel; Noah Constant (CoRR, 2024)