Tan, Jie

30 publications

MLJ 2025 Compression and Restoration: Exploring Elasticity in Continual Test-Time Adaptation Jingwei Li, Chengbao Liu, Xiwei Bai, Jie Tan, Jiaqi Chu, Yudong Wang

CoRL 2025 LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing Changyi Lin, Yuxin Ray Song, Boda Huo, Mingyang Yu, Yikai Wang, Shiqi Liu, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Yiyue Luo, Ding Zhao

ICLR 2025 Understanding the Stability-Based Generalization of Personalized Federated Learning Yingqi Liu, Qinglun Li, Jie Tan, Yifan Shi, Li Shen, Xiaochun Cao

DMLR 2024 Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao

MLJ 2024 Efficient Learning of Power Grid Voltage Control Strategies via Model-Based Deep Reinforcement Learning Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang

CoRL 2024 Gameplay Filters: Robust Zero-Shot Safety Through Adversarial Imagination Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime Fernández Fisac

CoRL 2024 Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs Zhuo Xu, Hao-Tien Lewis Chiang, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan

CoRL 2024 UMI-on-Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-Body Controllers Huy Ha, Yihuai Gao, Zipeng Fu, Jie Tan, Shuran Song

CoRL 2023 CAJun: Continuous Adaptive Jumping Using a Learned Centroidal Controller Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

L4DC 2023 Continuous Versatile Jumping Using Learned Action Residuals Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

NeurIPSW 2023 Creative Robot Tool Use with Large Language Models Mengdi Xu, Wenhao Yu, Peide Huang, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao

ACML 2023 KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking Xin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai

CoRL 2023 Language to Rewards for Robotic Skill Synthesis Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia

NeurIPS 2023 Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain, Krzysztof M Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan

ICLR 2023 On the Robustness of Safe Reinforcement Learning Under Observational Perturbations Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

CoRL 2023 SayTap: Language to Quadrupedal Locomotion Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada

CoRL 2023 Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism J. Taery Kim, Wenhao Yu, Yash Kothari, Bruce Walker, Jie Tan, Greg Turk, Sehoon Ha

CoRL 2022 Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani

CoRL 2022 Learning Semantics-Aware Locomotion Skills from Human Demonstration Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

NeurIPSW 2022 Learning Semantics-Aware Locomotion Skills from Human Demonstrations Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

ICLRW 2022 Multi-Objective Evolution for Generalizable Policy Gradient Algorithms Juan Jose Garau-Luis, Yingjie Miao, John D Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

NeurIPSW 2022 On the Robustness of Safe Reinforcement Learning Under Observational Perturbations Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

AAAI 2021 Disentangled Motif-Aware Graph Learning for Phrase Grounding Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang

CoRL 2021 Fast and Efficient Locomotion via Learned Gait Transitions Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots

CoRL 2021 Visual-Locomotion: Learning to Walk on Complex Terrains with Vision Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang

CoRL 2020 Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan

CoRL 2020 Model-Based Reinforcement Learning for Decentralized Multiagent Rendezvous Rose Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust

CoRL 2019 Data Efficient Reinforcement Learning for Legged Robots Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani

CoRL 2018 Policies Modulating Trajectory Generators Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke

ICML 2017 Large-Scale Evolution of Image Classifiers Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka Leon Suematsu, Jie Tan, Quoc V. Le, Alexey Kurakin