Jingyun Yang

According to our database, Jingyun Yang authored at least 36 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Understanding Knowledge Transferability for Transfer Learning: A Survey.

Haohua Wang, Jingge Wang, Zijie Zhao, Yang Tan, Yanru Wu, Hanbing Liu, Jingyun Yang, Enming Zhang, Xiangyu Chen, Zhengze Rong, Shanxin Guo, Yang Li

CoRR, July, 2025

CUPID: Curating Data your Robot Loves with Influence Functions.

Christopher Agia, Rohan Sinha, Jingyun Yang, Rika Antonova, Marco Pavone, Haruki Nishimura, Masha Itkina, Jeannette Bohg

CoRR, June, 2025

HoMeR: Learning In-the-Wild Mobile Manipulation via Hybrid Imitation and Whole-Body Control.

Priya Sundaresan, Rhea Malhotra, Phillip Miao, Jingyun Yang, Jimmy Wu, Hengyuan Hu, Rika Antonova, Francis Engelmann, Dorsa Sadigh, Jeannette Bohg

CoRR, June, 2025

Mobi-π: Mobilizing Your Robot Learning Policy.

Jingyun Yang, Isabella Huang, Brandon Vu, Max Bajracharya, Rika Antonova, Jeannette Bohg

CoRR, May, 2025

Hierarchical Feature Learning for Medical Point Clouds via State Space Model.

Guoqing Zhang, Jingyun Yang, Yang Li

CoRR, April, 2025

Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials.

Jingyun Yang, Ruoyan Avery Yin, Chi Jiang, Yuepeng Hu, Xiaokai Zhu, Xingjian Hu, Sutharsika Kumar, Xiao Wang, Xiaohua Zhai, Keran Rong, Yunyue Zhu, Tianyi Zhang, Zongyou Yin, Jing Kong, Neil Zhenqiang Gong, Zhichu Ren, Haozhe Wang

CoRR, April, 2025

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially.

Jingyun Yang, Guoqing Zhang, Jingge Wang, Yang Li

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation.

Shutong Duan, Jingyun Yang, Yang Tan, Guoqing Zhang, Yang Li, Xiao-Ping Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Learning from vertically distributed data across multiple sites: An efficient privacy-preserving algorithm for Cox proportional hazards model with variable selection.

Guanhong Miao, Lei Yu, Jingyun Yang, David A. Bennett, Jinying Zhao, Samuel S. Wu

J. Biomed. Informatics, January, 2024

Enhancing Auto Insurance Risk Evaluation With Transformer and SHAP.

Tiejiang Sun, Jingyun Yang, Jiale Li, Jiaying Chen, Mingyue Liu, Li Fan, Xukang Wang

IEEE Access, 2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn

Proceedings of the Robotics: Science and Systems XX, 2024

Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning.

Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation.

Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Selecting the Best Sequential Transfer Path for Medical Image Segmentation with Limited Labeled Data.

Jingyun Yang, Jingge Wang, Guoqing Zhang, Yang Li

Proceedings of the Neural Information Processing - 31st International Conference, 2024

EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning.

Jingyun Yang, Ziang Cao, Congyue Deng, Rika Antonova, Shuran Song, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress.

Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Flemme: A Flexible and Modular Learning Platform for Medical Images.

Guoqing Zhang, Jingyun Yang, Yang Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Graph-guided Source Selection with Sequential Transfer for Medical Image Segmentation.

Jingyun Yang, Guoqing Zhang, Jingge Wang, Yang Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Investigating Consistency Constraints in Heterogeneous Multi-task Learning for Medical Image Processing.

Jingyun Yang, Yicong Li, Yang Tan, Heng Liu, Yang Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation.

Rika Antonova, Jingyun Yang, Priya Sundaresan, Dieter Fox, Fabio Ramos, Jeannette Bohg

IEEE Robotics Autom. Lett., 2022

On the predictive performance of two Bayesian joint models: a simulation study.

Jingyun Yang, Rong Li, Peirong Xiang, Jingyi Hu, Wenjin Lu, Zhong-Xin Ni, Guoliang Cai

Commun. Stat. Simul. Comput., 2022

Learning Periodic Tasks from Human Demonstrations.

Jingyun Yang, Junwu Zhang, Connor Settle, Akshara Rai, Rika Antonova, Jeannette Bohg

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Rethinking Optimization with Differentiable Simulation from a Global Perspective.

Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg

Proceedings of the Conference on Robot Learning, 2022

Finding the Most Transferable Tasks for Brain Image Segmentation.

Yicong Li, Yang Tan, Jingyun Yang, Yang Li, Xiao-Ping Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Joint PVL Detection and Manual Ability Classification Using Semi-supervised Multi-task Learning.

Jingyun Yang, Jie Hu, Yicong Li, Heng Liu, Yang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views.

Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G. Atkeson, Katerina Fragkiadaki

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Natural Language Word Prediction Model Based on Multi-Window Convolution and Residual Network.

Jingyun Yang, Hengjun Wang, Kexiang Guo

IEEE Access, 2020

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning.

Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning to Coordinate Manipulation Skills via Skill Behavior Diversification.

Youngwoon Lee, Jingyun Yang, Joseph J. Lim

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

On the performance of MixTVEM: a simulation study.

Jingyun Yang, Mingzhi Shao, Guoliang Cai

Commun. Stat. Simul. Comput., 2019

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction.

Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle

CoRR, 2019

A surrogate model assisted (1+1)-ES with increased exploitation of the model.

Jingyun Yang, Dirk V. Arnold

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Los angeles metro bus data analysis using GPS trajectory and schedule data (demo paper).

Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2014

New Progress in Wind Prediction Based on Nonlinear Amendment.

Yagang Zhang, Jingyun Yang, Kangcheng Wang, Zheng Zhao, Jinkang Liu, Yinding Wang

Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

2011

Fixed-effects modeling of Cohen's weighted kappa for bivariate multinomial data.

Jingyun Yang, Vernon M. Chinchilli

Comput. Stat. Data Anal., 2011