Kehang Han

Researcher, Google DeepMind

Joined

July 2021

Names

Kehang Han (Preferred)

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

DBLP

Career & Education History

Researcher

Google DeepMind (google.com)

2020 – Present

PhD student

Massachusetts Institute of Technology (mit.edu)

2012 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

Uncertainty

robustness

2020 – Present

Publications

Live Music Models
Antoine Caillon, Brian McWilliams, Cassie Tarakajian, Ian Simon, Ilaria Manco, Jesse Engel, Noah Constant, Yunpeng Li, Timo I. Denk, Alberto Lalama, Andrea Agostinelli, Cheng-Zhi Anna Huang, Ethan Manilow, George Brower, Hakan Erdogan, Heidi Lei, Itai Rolnick, Ivan Grishchenko, Manu Orsini, Matej Kastelic et al. (14 additional authors not shown)
- NeurIPS Creative AI Track 2025
- Readers: Everyone
Simplified and Generalized Masked Diffusion for Discrete Data
Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis Titsias
- NeurIPS 2024 poster
- Readers: Everyone
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R Sanketi, Grecia Salazar, Michael S Ryoo et al. (34 additional authors not shown)
- Published: 30 Aug 2023, Last Modified: 15 Jan 2026
- CoRL 2023 Poster
- Readers: Everyone
Plex: Towards Reliability using Pretrained Large Model Extensions
Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, E. Kelly Buchanan et al. (6 additional authors not shown)
- 26 May 2022 (modified: 30 Dec 2025)
- ICML 2022 Pre-training Workshop ContributedTalk
- Readers: Everyone
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
Kehang Han, Balaji Lakshminarayanan, Jeremiah Zhe Liu
- Published: 02 Dec 2021, Last Modified: 04 May 2025
- NeurIPS 2021 Workshop DistShift Poster
- Readers: Everyone
Improving Hit-finding: Multilabel Neural Architecture with DEL
Kehang Han, Steven Kearnes, Jin Xu, Wen Torng, JW Feng
- Published: 22 Oct 2021, Last Modified: 05 May 2023
- NeurIPS-AI4Science Poster
- Readers: Everyone
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, C. Franklin Goldsmith, William H. Green Jr.
- 2021 (modified: 05 May 2022)
- J. Chem. Inf. Model. 2021
- Readers: Everyone
Reliable Graph Neural Networks for Drug Discovery Under Distributional Shift
Kehang Han, Balaji Lakshminarayanan, Jeremiah T. Liu
- 2021 (modified: 05 May 2022)
- CoRR 2021
- Readers: Everyone
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.
- 2019 (modified: 05 May 2022)
- Comput. Chem. Eng. 2019
- Readers: Everyone
On-the-fly pruning for rate-based reaction mechanism generation
Kehang Han, William H. Green Jr., Richard H. West
- 2017 (modified: 05 May 2022)
- Comput. Chem. Eng. 2017
- Readers: Everyone

Co-Authors

View all 136 co-authors