Jesse Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
7
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation. | Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal |
| 2024 | CoRL | EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data. | Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor |
| 2024 | ICLR | TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. | Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor |
| 2024 | ICML | RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. | Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson |
| 2024 | ICRA | SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. | Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim |
| 2023 | CoRL | Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. | Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim |
| 2021 | ICLR | Hierarchical Reinforcement Learning by Discovering Intrinsic Options. | Jesse Zhang, Haonan Yu, Wei Xu |
| 2021 | WACV | 2020 Sequestered Data Evaluation for Known Activities in Extended Video: Summary and Results. | Afzal Godil, Yooyoung Lee, Jon Fiscus, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jim Golden, Jesse Zhang |
| 2021 | SIGMOD | Greenplum: A Hybrid Database for Transactional and Analytical Workloads. | Zhenghua Lyu, Huan Hubert Zhang, Gang Xiong, Gang Guo, Haozhou Wang, Jinbao Chen, Asim Praveen, Yu Yang, Xiaoming Gao, Alexandra Wang, Wen Lin, Ashwin Agrawal, Junfeng Yang, Hao Wu, Xiaoliang Li, Feng Guo, Jiang Wu, Jesse Zhang, Venkatesh Raghavan |
| 2020 | CoRL | Chaining Behaviors from Data with Model-Free Reinforcement Learning. | Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine |
| 2020 | ICML | Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. | Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman |
| 2019 | ICRA | REPLAB: A Reproducible Low-Cost Arm Benchmark for Robotic Learning. | Brian H. Yang, Dinesh Jayaraman, Jesse Zhang, Sergey Levine |
| 2019 | SENSYS | TripAware: Emotional and Informational Approaches to Encourage Sustainable Transportation via Mobile Applications. | Jesse Zhang, Jack Sullivan, Vasudev Venkatesh P. B., Kyle Tse, Andy Yan, John Leyden, Kalyanaraman Shankari, Randy H. Katz |