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ORCIDJie Tan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j73]Jie Tan:
Image processing technology based on OMP reconstruction optimization algorithm. J. Comput. Methods Sci. Eng. 24(3): 1741-1753 (2024)- [j72]Huanjie Wang, Yuan Li
, Xiwei Bai, Jingwei Li, Jie Tan, Chengbao Liu:
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis. J. Intell. Manuf. 35(7): 3131-3148 (2024) - [j71]Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang:
Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning. Mach. Learn. 113(5): 2675-2700 (2024) - [j70]Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu:
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization. Neural Networks 171: 186-199 (2024) - [j69]Jingwei Li, Yuan Li, Jie Tan, Chengbao Liu:
It takes two: Dual Branch Augmentation Module for domain generalization. Neural Networks 172: 106094 (2024) - [j68]Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu:
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors Without Any Outdoor Experience. IEEE Robotics Autom. Lett. 9(5): 4798-4805 (2024) - [j67]Luo Zuo, Nan Li, Jie Tan, Xiangyu Peng, Yunhe Cao, Zuobang Zhou, Jiusheng Han:
A Coherent Integration Method for Moving Target Detection in Frequency Agile Signal-Based Passive Bistatic Radar. Remote. Sens. 16(7): 1148 (2024) - [j66]Jun Liu, Shenghua Gong, Tong Zhang, Zhenxiang Zhao, Hao Dong, Jie Tan:
TF-REF-RNN: Time-Frequency and Reference Signal Feature Fusion Recurrent Neural Network for Underwater Backscatter Signal Separation. Remote. Sens. 16(19): 3635 (2024) - [j65]Yuan Li, Jingwei Li, Huanjie Wang, Chengbao Liu, Jie Tan:
Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions. Reliab. Eng. Syst. Saf. 242: 109748 (2024) - [j64]Yue Zhang, Jie Tan:
A data-driven approach of layout evaluation for electric vehicle charging infrastructure using agent-based simulation and GIS. Simul. 100(3): 299-319 (2024) - [j63]Tingkun Zhang, Chengbao Liu, Zhenjie Liu, Jie Tan, Mutellip Ahmat:
Temporal Double Graph Convolutional Network for CO and CO Prediction in Blast Furnace Gas. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c84]Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan:
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. ACL (Findings) 2024: 6335-6350 - [c83]Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng:
Natural Language-Assisted Multi-modal Medication Recommendation. CIKM 2024: 2200-2209 - [c82]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 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:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c81]Jiaqi Chu, Chengbao Liu, Jingwei Li, Yuan Li, Jie Tan:
CorrDCN: Decomposed Convolutional Network with Seasonal Autocorrelation 2D-Variation Modeling for Time Series Forecasting. IJCNN 2024: 1-8 - [c80]Haining Hu, Jie Tan, Xiaoguang Ren, Yuchen Hua, Xin Liu:
PhaseNN: An Unsupervised and Spatial-Frequency Integrated Network for Phase Retrieval. PRCV (1) 2024: 81-94 - [i66]Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada:
Learning to Learn Faster from Human Feedback with Language Model Predictive Control. CoRR abs/2402.11450 (2024) - [i65]Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor, Anuj Zore, Brian Ichter, Fei Xia, Jie Tan, Wenhao Yu, Dinesh Manocha:
CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments. CoRR abs/2403.15637 (2024) - [i64]Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao:
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. CoRR abs/2403.18197 (2024) - [i63]Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime F. Fisac:
Gameplay Filters: Safe Robot Walking through Adversarial Imagination. CoRR abs/2405.00846 (2024) - [i62]Hao-Tien Lewis Chiang, Zhuo Xu, 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:
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. CoRR abs/2407.07775 (2024) - [i61]Huy Ha, Yihuai Gao, Zipeng Fu, Jie Tan, Shuran Song:
UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers. CoRR abs/2407.10353 (2024) - [i60]Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan:
ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. CoRR abs/2408.07840 (2024) - [i59]Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots:
Agile Continuous Jumping in Discontinuous Terrains. CoRR abs/2409.10923 (2024) - [i58]Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi:
Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations. CoRR abs/2410.11719 (2024) - [i57]Kaixian Qu, Jie Tan, Tingnan Zhang, Fei Xia, Cesar Dario Cadena Lerma, Marco Hutter:
IPPON: Common Sense Guided Informative Path Planning for Object Goal Navigation. CoRR abs/2410.19697 (2024) - 2023
- [j62]Han Ding, Yanbing Li, Yuntai Zhang, Shifeng Rong, Jie Tan, Jiange Zhang, Kaibin Rong:
High-performance tooth flank collaborative optimization model for spiral bevel and hypoid gears. Adv. Eng. Informatics 57: 102059 (2023) - [j61]Jie Tan, Daniel Feitosa, Paris Avgeriou:
The lifecycle of Technical Debt that manifests in both source code and issue trackers. Inf. Softw. Technol. 159: 107216 (2023) - [j60]Ung Hee Lee, Varun S. Shetty, Patrick W. Franks, Jie Tan, Georgios Evangelopoulos, Sehoon Ha, Elliott J. Rouse:
User preference optimization for control of ankle exoskeletons using sample efficient active learning. Sci. Robotics 8(83) (2023) - [j59]Jingwei Li, Yuan Li, Huanjie Wang, Chengbao Liu, Jie Tan:
Exploring Explicitly Disentangled Features for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6360-6373 (2023) - [c79]Xin Liu, Jie Tan, Xiaoguang Ren, Weiya Ren, Huadong Dai:
KURL: A Knowledge-Guided Reinforcement Learning Model for Active Object Tracking. ACML 2023: 818-833 - [c78]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:
Language to Rewards for Robotic Skill Synthesis. CoRL 2023: 374-404 - [c77]Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce Walker, Jie Tan, Greg Turk, Sehoon Ha:
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRL 2023: 2288-2303 - [c76]Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. CoRL 2023: 2791-2806 - [c75]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRL 2023: 3556-3570 - [c74]Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha:
How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. HRI (Companion) 2023: 221-225 - [c73]Xin Liu, Weiya Ren, Jie Tan, Xiaochuan Zhang, Xiaoguang Ren, Huadong Dai:
Air-to-Ground Active Object Tracking via Reinforcement Learning. ICANN (6) 2023: 13-24 - [c72]Jie Tan, Hengyi Cai, Hongshen Chen, Hong Cheng, Helen Meng, Zhuoye Ding:
Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation. ICASSP 2023: 1-5 - [c71]Bo Sang, Shuwei Gu, Xiaojun Zhan, Mingjie Tang, Jian Liu, Xuan Chen, Jie Tan, Haoyuan Ge, Ke Zhang, Ruoyi Ruan, Wei Yan:
Cougar: A General Framework for Jobs Optimization In Cloud. ICDE 2023: 3417-3429 - [c70]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao:
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. ICLR 2023 - [c69]Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez:
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization. ICRA 2023: 7184-7190 - [c68]Yuan Li, Jingwei Li, Chengbao Liu, Jie Tan:
Time Series Forecasting Model Based on Domain Adaptation and Shared Attention. IEA/AIE (2) 2023: 215-225 - [c67]Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari:
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. IROS 2023: 487-494 - [c66]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. IROS 2023: 3889-3896 - [c65]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. L4DC 2023: 770-782 - [c64]Deepali Jain, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan:
Mnemosyne: Learning to Train Transformers with Transformers. NeurIPS 2023 - [c63]Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. Robotics: Science and Systems 2023 - [c62]Song Wang, Bing Yu, Wenwu Xiao, Fujun Bai, Xiaodong Long, Liang Bai, Xuerong Jia, Fengguo Zuo, Jie Tan, Yixin Guo, Peng Sun, Jun Zhou, Qiong Zhan, Sheng Hu, Yu Zhou, Yi Kang, Qiwei Ren, Xiping Jiang:
A 135 GBps/Gbit 0.66 pJ/bit Stacked Embedded DRAM with Multilayer Arrays by Fine Pitch Hybrid Bonding and Mini-TSV. VLSI Technology and Circuits 2023: 1-2 - [e1]Jie Tan, Marc Toussaint, Kourosh Darvish:
Conference on Robot Learning, CoRL 2023, 6-9 November 2023, Atlanta, GA, USA. Proceedings of Machine Learning Research 229, PMLR 2023 [contents] - [i56]Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan, Avinava Dubey:
Mnemosyne: Learning to Train Transformers with Transformers. CoRR abs/2302.01128 (2023) - [i55]Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari:
On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. CoRR abs/2303.13390 (2023) - [i54]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. CoRR abs/2304.08663 (2023) - [i53]Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Learning and Adapting Agile Locomotion Skills by Transferring Experience. CoRR abs/2304.09834 (2023) - [i52]Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu:
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience. CoRR abs/2305.01098 (2023) - [i51]Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - [i50]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRR abs/2306.07580 (2023) - [i49]Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse 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:
Language to Rewards for Robotic Skill Synthesis. CoRR abs/2306.08647 (2023) - [i48]Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao:
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR abs/2306.09303 (2023) - [i47]Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. CoRR abs/2306.09557 (2023) - [i46]Joanne Taery Kim, Wenhao Yu, Yash Kothari, Jie Tan, Greg Turk, Sehoon Ha:
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRR abs/2306.14055 (2023) - [i45]Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real:
Discovering Adaptable Symbolic Algorithms from Scratch. CoRR abs/2307.16890 (2023) - [i44]Qiuhua Huang, Renke Huang, Tianzhixi Yin, Sohom Datta, Xueqing Sun, Z. Jason Hou, Jie Tan, Wenhao Yu, Yuan Liu, Xinya Li, Bruce Palmer, Ang Li, Xinda Ke, Marianna Vaiman, Song Wang, Yousu Chen:
Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control. CoRR abs/2310.05021 (2023) - [i43]Qiping Zhang, Nathan Tsoi, Booyeon Choi, Jie Tan, Hao-Tien Lewis Chiang, Marynel Vázquez:
Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios. CoRR abs/2310.11590 (2023) - [i42]Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao:
Creative Robot Tool Use with Large Language Models. CoRR abs/2310.13065 (2023) - 2022
- [j58]Jie Tan, Zhencheng Fang, Shufang Wu, Qian Guo, Xiaoqing Jiang, Huaiqiu Zhu:
HoPhage: an ab initio tool for identifying hosts of phage fragments from metaviromes. Bioinform. 38(2): 543-545 (2022) - [j57]Haowen Dou, Jie Tan, Huiling Wei, Fei Wang, Jinzhu Yang, Xiaoguang Ma, Jiaqi Wang, Teng Zhou:
Transfer inhibitory potency prediction to binary classification: A model only needs a small training set. Comput. Methods Programs Biomed. 215: 106633 (2022) - [j56]Jie Tan, Qin Zhong:
Electricity Procurement Strategies under Supply Disruption and Price Fluctuation. Complex. 2022: 9303478:1-9303478:13 (2022) - [j55]Jie Tan, Jianmin Pang, Cong Liu:
What Factors Affect the Performance of Software after Migration: A Case Study on Sunway TaihuLight Supercomputer. IEICE Trans. Inf. Syst. 105-D(1): 26-30 (2022) - [j54]Jie Tan, Daniel Feitosa, Paris Avgeriou:
Does it matter who pays back Technical Debt? An empirical study of self-fixed TD. Inf. Softw. Technol. 143: 106738 (2022) - [j53]Huanjie Wang, Xiwei Bai, Jie Tan, Jiechao Yang:
Deep prototypical networks based domain adaptation for fault diagnosis. J. Intell. Manuf. 33(4): 973-983 (2022) - [j52]Teng Zhou, Haowen Dou, Jie Tan, Youyi Song, Fei Wang, Jiaqi Wang:
Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction. Knowl. Based Syst. 251: 109242 (2022) - [j51]Jingwei Li, Huanjie Wang, Ke Wu, Chengbao Liu, Jie Tan:
Cross-attention-map-based regularization for adversarial domain adaptation. Neural Networks 145: 128-138 (2022) - [j50]Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha:
Learning to Navigate Sidewalks in Outdoor Environments. IEEE Robotics Autom. Lett. 7(2): 3906-3913 (2022) - [j49]Ning Xie, Zhuoyuan Li, Jie Tan, Alex X. Liu:
Detection of Information Hiding at Physical Layer in Wireless Communications. IEEE Trans. Dependable Secur. Comput. 19(2): 1104-1117 (2022) - [j48]Chengbao Liu, Jie Tan, Jingwei Li, Yuan Li, Huanjie Wang:
Temporal Hypergraph Attention Network for Silicon Content Prediction in Blast Furnace. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j47]Huanjie Wang, Xiwei Bai, Sihan Wang, Jie Tan, Chengbao Liu:
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c61]Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony G. 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:
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. CoRL 2022: 1708-1721 - [c60]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRL 2022: 2205-2214 - [c59]Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine:
Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. ICRA 2022: 1593-1599 - [c58]Yuan Li, Huanjie Wang, Jingwei Li, Chengbao Liu, Jie Tan:
ACT: Adversarial Convolutional Transformer for Time Series Forecasting. IJCNN 2022: 1-8 - [c57]Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu:
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. IROS 2022: 1447-1454 - [c56]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. IROS 2022: 2454-2461 - [c55]Jie Tan, Xiubin Sha, Ting Lu, Bo Dai:
A Short Survey on Future Research of AI and IoT Technologies. IWCMC 2022: 190-195 - [c54]Zongshen Mu, Yueting Zhuang, Jie Tan, Jun Xiao, Siliang Tang:
Learning Hybrid Behavior Patterns for Multimedia Recommendation. ACM Multimedia 2022: 376-384 - [i41]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. CoRR abs/2203.02638 (2022) - [i40]Juan Jose Garau Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust:
Multi-objective evolution for Generalizable Policy Gradient Algorithms. CoRR abs/2204.04292 (2022) - [i39]Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao:
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. CoRR abs/2205.14691 (2022) - [i38]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRR abs/2206.13631 (2022) - [i37]Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu:
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. CoRR abs/2207.13224 (2022) - [i36]Xuesu Xiao, Tingnan Zhang, Krzysztof Choromanski, Tsang-Wei Edward Lee, Anthony G. 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:
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. CoRR abs/2209.10780 (2022) - [i35]Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez:
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization. CoRR abs/2210.10865 (2022) - [i34]Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang:
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning. CoRR abs/2212.02715 (2022) - 2021
- [j46]Cheng Pan, Jie Tan, Dandan Feng:
Prediction intervals estimation of solar generation based on gated recurrent unit and kernel density estimation. Neurocomputing 453: 552-562 (2021) - [j45]Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine:
How to train your robot with deep reinforcement learning: lessons we have learned. Int. J. Robotics Res. 40(4-5) (2021) - [j44]Jie Tan, Daniel Feitosa, Paris Avgeriou, Mircea Lungu:
Evolution of technical debt remediation in Python: A case study on the Apache Software Ecosystem. J. Softw. Evol. Process. 33(4) (2021) - [j43]Yang Yang, Xuefeng Si, Dong Yue, Jie Tan:
Time-Varying Formation Tracking of Uncertain Nonaffine Nonlinear Multiagent Systems With Communication Delays. IEEE Trans. Ind. Electron. 68(3): 2501-2509 (2021) - [j42]Yang Yang, Jie Tan, Dong Yue, Xiangpeng Xie, Wenbin Yue:
Observer-Based Containment Control for a Class of Nonlinear Multiagent Systems With Uncertainties. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 588-600 (2021) - [j41]Yang Yang, Jie Tan, Dong Yue, Yu-Chu Tian, Yusheng Xue:
Output-Based Containment Control for Uncertain Nonaffine Nonlinear Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 5992-6002 (2021) - [j40]Mingliang Li, Jianmin Pang, Feng Yue, Fudong Liu, Jun Wang, Jie Tan:
Enhancing Dynamic Binary Translation in Mobile Computing by Leveraging Polyhedral Optimization. Wirel. Commun. Mob. Comput. 2021: 6611867:1-6611867:12 (2021) - [c53]Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang:
Disentangled Motif-aware Graph Learning for Phrase Grounding. AAAI 2021: 13587-13594 - [c52]Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots:
Fast and Efficient Locomotion via Learned Gait Transitions. CoRL 2021: 773-783 - [c51]Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu,