Jesse Zhang - RankMe

41 papers A* 9Misc 3Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons. CoRR Anthony Liang, Yigit Korkmaz, Jiahui Zhang, Minyoung Hwang, Abrar Anwar, Sidhant Kaushik, Aditya Shah, Alex S. Huang, Luke Zettlemoyer, Dieter Fox, Yu Xiang, Anqi Li, Andreea Bobu, Abhishek Gupta, Stephen Tu, Erdem Biyik, Jesse Zhang
2025	J	`jnl`	HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation. CoRR Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Raymond Yu, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal
2025	A*	`conf`	HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation. ICLR Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal
2025	J	`jnl`	HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval. CoRR Matthew Hong, Anthony Liang, Kevin Kim, Harshitha Rajaprakash, Jesse Thomason, Erdem Biyik, Jesse Zhang
2025	J	`jnl`	PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies. CoRR Jesse Zhang, Marius Memmel, Kevin Kim, Dieter Fox, Jesse Thomason, Fabio Ramos, Erdem Biyik, Abhishek Gupta, Anqi Li
2025	J	`jnl`	ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations. CoRR Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh Anand Sontakke, Joseph J. Lim, Jesse Thomason, Erdem Biyik, Jesse Zhang
2024	Misc	`conf`	EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data. CoRL Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
2024	J	`jnl`	EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. CoRR Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
2024	A*	`conf`	RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. ICML Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson
2024	J	`jnl`	RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. CoRR Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson
2024	A*	`conf`	SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. ICRA Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim
2024	A*	`conf`	TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. ICLR Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
2023	Misc	`conf`	Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRL Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
2023	J	`jnl`	Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance. CoRR Jesse Zhang, Jiahui Zhang, Karl Pertsch, Ziyi Liu, Xiang Ren, Minsuk Chang, Shao-Hua Sun, Joseph J. Lim
2023	J	`jnl`	Hierarchical Neural Program Synthesis. CoRR Linghan Zhong, Ryan Lindeborg, Jesse Zhang, Joseph J. Lim, Shao-Hua Sun
2023	J	`jnl`	LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers. CoRR Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J. Lim, Karl Pertsch
2023	A*	`conf`	RoboCLIP: One Demonstration is Enough to Learn Robot Policies. NeurIPS Sumedh Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
2023	J	`jnl`	RoboCLIP: One Demonstration is Enough to Learn Robot Policies. CoRR Sumedh A. Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
2023	J	`jnl`	SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling. CoRR Jesse Zhang, Karl Pertsch, Jiahui Zhang, Joseph J. Lim
2023	J	`jnl`	TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
2021	—	`conf`	2020 Sequestered Data Evaluation for Known Activities in Extended Video: Summary and Results. WACV (Workshops) Afzal Godil, Yooyoung Lee, Jon Fiscus, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jim Golden, Jesse Zhang
2021	—	`conf`	Greenplum: A Hybrid Database for Transactional and Analytical Workloads. SIGMOD Conference 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
2021	J	`jnl`	Greenplum: A Hybrid Database for Transactional and Analytical Workloads. CoRR Zhenghua Lyu, Huan Hubert Zhang, Gang Xiong, Haozhou Wang, Gang Guo, Jinbao Chen, Asim Praveen, Yu Yang, Xiaoming Gao, Ashwin Agrawal, Alexandra Wang, Wen Lin, Junfeng Yang, Hao Wu, Xiaoliang Li, Feng Guo, Jiang Wu, Jesse Zhang, Venkatesh Raghavan
2021	J	`jnl`	Hierarchical Reinforcement Learning By Discovering Intrinsic Options. CoRR Jesse Zhang, Haonan Yu, Wei Xu
2021	A*	`conf`	Hierarchical Reinforcement Learning by Discovering Intrinsic Options. ICLR Jesse Zhang, Haonan Yu, Wei Xu
2021	A*	`conf`	Learning to Synthesize Programs as Interpretable and Generalizable Policies. NeurIPS Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
2021	J	`jnl`	Learning to Synthesize Programs as Interpretable and Generalizable Policies. CoRR Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph J. Lim
2021	J	`jnl`	TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains. CoRR George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot
2020	—	`ed.`	2020 TREC Video Retrieval Evaluation, TRECVID 2020, Gaithersburg, MD, USA, December 8-11, 2020. TRECVID George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot
2020	J	`jnl`	COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning. CoRR Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine
2020	A*	`conf`	Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. ICML Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman
2020	J	`jnl`	Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings. CoRR Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman
2020	Misc	`conf`	Chaining Behaviors from Data with Model-Free Reinforcement Learning. CoRL Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine
2020	J	`jnl`	TRECVID 2019: An Evaluation Campaign to Benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & Retrieval. CoRR George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot
2020	—	`conf`	TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains. TRECVID George Awad, Asad A. Butt, Keith Curtis, Jonathan G. Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas L. Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quénot
2019	—	`ed.`	2019 TREC Video Retrieval Evaluation, TRECVID 2019, Gaithersburg, MD, USA, November 12-13, 2019 TRECVID George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jon Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot
2019	J	`jnl`	REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. CoRR Brian H. Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman
2019	A*	`conf`	REPLAB: A Reproducible Low-Cost Arm Benchmark for Robotic Learning. ICRA Brian H. Yang, Dinesh Jayaraman, Jesse Zhang, Sergey Levine
2019	—	`conf`	TRECVID 2019: An evaluation campaign to benchmark Video Activity Detection, Video Captioning and Matching, and Video Search & retrieval. TRECVID George Awad, Asad A. Butt, Keith Curtis, Yooyoung Lee, Jonathan G. Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas L. Diduch, Alan F. Smeaton, Yvette Graham, Wessel Kraaij, Georges Quénot
2019	—	`conf`	TripAware: Emotional and Informational Approaches to Encourage Sustainable Transportation via Mobile Applications. BuildSys Jesse Zhang, Jack Sullivan, Vasudev Venkatesh P. B., Kyle Tse, Andy Yan, John Leyden, Kalyanaraman Shankari, Randy H. Katz
2019	J	`jnl`	Unsupervised Projection Networks for Generative Adversarial Networks. CoRR Daiyaan Arfeen, Jesse Zhang