Fei Xia

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 255

Top Venues

King's College London, UK (PHD)

Education History

King's College London, UK

PHD

Publications

Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Karol Hausman, Brian Ichter, Alex Irpan, Nikhil Joshi, Ryan Julian, Sean Kirmani, Isabel Leal, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Isabel Leal, Sharath Maddineni, Kanishka Rao, Dorsa Sadigh, Pannag Sanketi, Pierre Sermanet, Quan Vuong, Stefan Welker, Fei Xia, Ted Xiao, Peng Xu, Steve Xu, Zhuo Xu
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. CoRR (2024)
Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. CoRR (2024)
Bin Li, Yixuan Weng, Fei Xia, Hanjun Deng
Towards better Chinese-centric neural machine translation for low-resource languages. Comput. Speech Lang. 84 (2024)
Karthik Mahadevan, Jonathan Chien, Noah Brown, Zhuo Xu, Carolina Parada, Fei Xia, Andy Zeng, Leila Takayama, Dorsa Sadigh
Generative Expressive Robot Behaviors using Large Language Models. CoRR (2024)
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 (2024)
Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. CoRR (2024)
Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. ICRA (2023)
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag R. Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
RT-1: Robotics Transformer for Real-World Control at Scale. Robotics: Science and Systems (2023)
Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Sean Kirmani, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman
Open-World Object Manipulation using Pre-Trained Vision-Language Models. CoRL (2023)
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao
Large Language Models are Better Reasoners with Self-Verification. EMNLP (Findings) (2023)
Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng
Large Language Models as General Pattern Machines. CoRR (2023)
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRR (2023)
Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh
Gesture-Informed Robot Assistance via Foundation Models. CoRL (2023)
Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. CoRL (2023)
Anthony G. Francis, Claudia Pérez-D'Arpino, Chengshu Li, Fei Xia, Alexandre Alahi, Rachid Alami, Aniket Bera, Abhijat Biswas, Joydeep Biswas, Rohan Chandra, Hao-Tien Lewis Chiang, Michael Everett, Sehoon Ha, Justin W. Hart, Jonathan P. How, Haresh Karnan, Tsang-Wei Edward Lee, Luis J. Manso, Reuth Mirsky, Sören Pirk, Phani-Teja Singamaneni, Peter Stone, Ada V. Taylor, Peter Trautman, Nathan Tsoi, Marynel Vázquez, Xuesu Xiao, Peng Xu, Naoki Yokoyama, Alexander Toshev, Roberto Martin Martin
Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. CoRR (2023)
Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. CoRR (2023)
Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. NeurIPS (2023)
Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng
Large Language Models as General Pattern Machines. CoRL (2023)
Tianhe Yu, Ted Xiao, Austin Stone, Jonathan Tompson, Anthony Brohan, Su Wang, Jaspiar Singh, Clayton Tan, Dee M, Jodilyn Peralta, Brian Ichter, Karol Hausman, Fei Xia
Scaling Robot Learning with Semantically Imagined Experience. CoRR (2023)
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRL (2023)
Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao
Large Language Models Need Holistically Thought in Medical Conversational QA. CoRR (2023)
Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler
Open-vocabulary Queryable Scene Representations for Real World Planning. ICRA (2023)
Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao
RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. CoRR (2023)
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR (2023)
Fei Xia, Kyungduk Kim, Yaniv Eliezer, Liam Shaughnessy, Sylvain Gigan, Hui Cao
Deep Learning with Passive Optical Nonlinear Mapping. CoRR (2023)
Komal Krishnamurthy, Omar Ghazal, Tian Lan, Fei Xia, Alex Yakovlev, Rishad A. Shafik
Variable Duty Cycle Pulse Generation for Low Complexity Randomization in Machine Learning. NEWCAS (2023)
Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. CoRR (2023)
Jilin Lang, Chuanlin Zhang, Fei Xia, Guodong Wang, Xiangyu Wang
Self-Disciplined Nonsmooth Coordination Control for Battery Energy Storage System in Autonomous DC Microgrids Toward Large-Signal Stability. IEEE Trans. Smart Grid 14 (2) (2023)
Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh
Physically Grounded Vision-Language Models for Robotic Manipulation. CoRR (2023)
Tianhe Yu, Ted Xiao, Jonathan Tompson, Austin Stone, Su Wang, Anthony Brohan, Jaspiar Singh, Clayton Tan, Dee M, Jodilyn Peralta, Karol Hausman, Brian Ichter, Fei Xia
Scaling Robot Learning with Semantically Imagined Experience. Robotics: Science and Systems (2023)
Yevgen Chebotar, Quan Vuong, Alex Irpan, Karol Hausman, Fei Xia, Yao Lu, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine
Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. CoRR (2023)
Yuanping Xia, Fei Xia, Zhenyang Hui, Huaizhan Li, Ranran Wan, Jinquan Ai
Combined PS-InSAR Technology and High-Resolution Optical Remote Sensing for Identifying Illegal Underground Mining in the Suburb of Yangquan City, Shanxi Province, China. Remote. Sens. 15 (14) (2023)
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
PaLM-E: An Embodied Multimodal Language Model. ICML (2023)
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)
Omar Ghazal, Gang Mao, Tian Lan, Jesse Ojukwu, Fei Xia, Alex Yakovlev, Rishad A. Shafik
Asynchronous Control for Tsetlin Machine with Binary Memristor-Transistor Array. ISCAS (2023)
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 (2023)
Yuanhe Tian, Weidong Chen, Bo Hu, Yan Song, Fei Xia
End-to-end Aspect-based Sentiment Analysis with Combinatory Categorial Grammar. ACL (Findings) (2023)
Andy Zeng, Brian Ichter, Fei Xia, Ted Xiao, Vikas Sindhwani
Demonstrating Large Language Models on Robots. Robotics: Science and Systems (2023)
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)
Lihan Zha, Yuchen Cui, Li-Heng Lin, Minae Kwon, Montserrat Gonzalez Arenas, Andy Zeng, Fei Xia, Dorsa Sadigh
Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections. CoRR (2023)
Xiqin Tang, Jingyu Wang, Yang Li, Jinhua Hu, Fei Xia, Delong Shang
HPSAP: A High-Performance and Synthesizable Asynchronous Pipeline With Quasi-2phase Conversion Method. IEEE Access 11 (2023)
Yilun Du, Mengjiao Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson
Video Language Planning. CoRR (2023)
Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRL (2023)
Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao
Neural Comprehension: Language Models with Compiled Neural Networks. CoRR (2023)
Bin Han, Haotian Zhu, Sitong Zhou, Sofia Ahmed, Md. Mushfiqur Rahman, Fei Xia, Kevin Lybarger
HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers. CLEF (Working Notes) (2023)
Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, Andy Zeng
Code as Policies: Language Model Programs for Embodied Control. ICRA (2023)
Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. EACL (2023)
Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. CoRR (2023)
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
PaLM-E: An Embodied Multimodal Language Model. CoRR (2023)
Omar Ghazal, Simranjeet Singh, Tousif Rahman, Shengqi Yu, Yujin Zheng, Domenico Balsamo, Sachin B. Patkar, Farhad Merchant, Fei Xia, Alex Yakovlev, Rishad A. Shafik
IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines. ISLPED (2023)
Jiachun Li, Yuchao Hu, Fei Xia
A variable adversarial attack method based on filtering. Comput. Secur. 134 (2023)
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 (2023)
Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas
FindThis: Language-Driven Object Disambiguation in Indoor Environments. CoRL (2023)
Omar Ghazal, Simranjeet Singh, Tousif Rahman, Shengqi Yu, Yujin Zheng, Domenico Balsamo, Sachin Patkar, Farhad Merchant, Fei Xia, Alex Yakovlev, Rishad A. Shafik
IMBUE: In-Memory Boolean-to-CUrrent Inference ArchitecturE for Tsetlin Machines. CoRR (2023)
Austin Stone, Ted Xiao, Yao Lu, Keerthana Gopalakrishnan, Kuang-Huei Lee, Quan Vuong, Paul Wohlhart, Brianna Zitkovich, Fei Xia, Chelsea Finn, Karol Hausman
Open-World Object Manipulation using Pre-trained Vision-Language Models. CoRR (2023)
Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Varma Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia P. Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. CoRR (2023)
Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.
Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR (2023)
Shengqi Yu, Fei Xia, Rishad A. Shafik, Domenico Balsamo, Alex Yakovlev
Approximate digital-in analog-out multiplier with asymmetric nonvolatility and low energy consumption. Integr. 93 (2023)
Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations. ICRA (2023)
Xinjian Zhao, Fei Xia, Guoquan Yuan, Sen Zhang, Shi Chen, Weiwei Ni
Differentially Private Social Graph Publishing With Nearest Neighbor Structure Preservation. IEEE Access 11 (2023)
Dhruv Shah, Michael Robert Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. CoRL (2023)
Hao Wang, Jianqi Hu, Andrea Morandi, Alfonso Nardi, Fei Xia, Xuanchen Li, Romolo Savo, Qiang Liu, Rachel Grange, Sylvain Gigan
Large-scale photonic computing with nonlinear disordered media. CoRR (2023)
Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh
Gesture-Informed Robot Assistance via Foundation Models. CoRR (2023)
Dhruv Shah, Michael Equi, Blazej Osinski, Fei Xia, Brian Ichter, Sergey Levine
Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning. CoRR (2023)
Ziang Liu, Roberto Martín-Martín, Fei Xia, Jiajun Wu, Li Fei-Fei
BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents. CoRR (2022)
Bin Li, Yixuan Weng, Fei Xia, Hanjun Deng
Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages. CoRR (2022)
Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. SDU@AAAI (2022)
Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, Mona Anvari, Minjune Hwang, Manasi Sharma, Arman Aydin, Dhruva Bansal, Samuel Hunter, Kyu-Young Kim, Alan Lou, Caleb R. Matthews, Ivan Villa-Renteria, Jerry Huayang Tang, Claire Tang, Fei Xia, Silvio Savarese, Hyowon Gweon, Karen Liu, Jiajun Wu, Li Fei-Fei
BEHAVIOR-1K: A Benchmark for Embodied AI with 1, 000 Everyday Activities and Realistic Simulation. CoRL (2022)
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 (2022)
Michael Ahn, Anthony Brohan, Noah Brown, Yevgen Chebotar, Omar Cortes, Byron David, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Daniel Ho, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Eric Jang, Rosario Jauregui Ruano, Kyle Jeffrey, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Kuang-Huei Lee, Sergey Levine, Yao Lu, Linda Luu, Carolina Parada, Peter Pastor, Jornell Quiambao, Kanishka Rao, Jarek Rettinghouse, Diego Reyes, Pierre Sermanet, Nicolas Sievers, Clayton Tan, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Mengyuan Yan
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRR (2022)
Kai Ye, Siyan Dong, Qingnan Fan, He Wang, Li Yi, Fei Xia, Jue Wang, Baoquan Chen
Multi-Robot Active Mapping via Neural Bipartite Graph Matching. CoRR (2022)
Minjun Zhu, Bin Li, Yixuan Weng, Fei Xia
A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation. DialDoc@ACL (2022)
Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, Andy Zeng
Code as Policies: Language Model Programs for Embodied Control. CoRR (2022)
Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun, Shutao Li, Kang Liu, Jun Zhao
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer. SemEval@NAACL (2022)
Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation. SDU@AAAI (2022)
Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen
Towards Accurate Active Camera Localization. ECCV (10) (2022)
Zimu Zheng, Yunzhe Li, Han Song, Lanjun Wang, Fei Xia
Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework. CIKM (2022)
Xiusheng Huang, Bin Li, Fei Xia, Yixuan Weng
A Novel Initial Reminder Framework for Acronym Extraction. SDU@AAAI (2022)
Yuanhe Tian, Han Qin, Fei Xia, Yan Song
Syntax-driven Approach for Semantic Role Labeling. LREC (2022)
Tian Lan, Fei Xia, Gang Mao, Shengqi Yu, Rishad A. Shafik, Alex Yakovlev
Editable asynchronous control logic for SAR ADCs. ISCAS (2022)
Yuanhe Tian, Yan Song, Fei Xia
Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing. COLING (2022)
Kai Ye, Siyan Dong, Qingnan Fan, He Wang, Li Yi, Fei Xia, Jue Wang, Baoquan Chen
Multi-Robot Active Mapping via Neural Bipartite Graph Matching. CVPR (2022)
Fei Xia, Bin Li, Yixuan Weng, Xiusheng Huang, Shizhu He
ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion. SDU@AAAI (2022)
Han Qin, Yuanhe Tian, Fei Xia, Yan Song
Complementary Learning of Aspect Terms for Aspect-based Sentiment Analysis. LREC (2022)
Bin Li, Yixuan Weng, Fei Xia, Shizhu He, Bin Sun, Shutao Li
LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary. SemEval@NAACL (2022)
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRL (2022)
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)
Bin Li, Fei Xia, Yixuan Weng, Bin Sun, Shutao Li, Xiusheng Huang
PSG: Prompt-based Sequence Generation for Acronym Extraction. SDU@AAAI (2022)
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. NeurIPS (2022)
Dainius Jenkus, Fei Xia, Rishad A. Shafik, Alex Yakovlev
Runtime Energy Minimization of Distributed Many-Core Systems using Transfer Learning. DATE (2022)
Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRR (2022)
Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. ECCV (10) (2022)
Ashur Rafiev, Jordan Morris, Fei Xia, Alex Yakovlev, Matthew Naylor, Simon W. Moore, David Thomas, Graeme M. Bragg, Mark Vousden, Andrew Brown
Practical Distributed Implementation of Very Large Scale Petri Net Simulations. Trans. Petri Nets Other Model. Concurr. 16 (2022)
Yuqing Xiong, Juan Zeng, Fei Xia, Qiang Cui, Xianming Deng, Xin Xu
Conformations and binding pockets of HRas and its guanine nucleotide exchange factors complexes in the guanosine triphosphate exchange process. J. Comput. Chem. 43 (13) (2022)
Zhulin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia
Extracting and Inferring Personal Attributes from Dialogue. ConvAI@ACL (2022)
Boyuan Chen, Fei Xia, Brian Ichter, Kanishka Rao, Keerthana Gopalakrishnan, Michael S. Ryoo, Austin Stone, Daniel Kappler
Open-vocabulary Queryable Scene Representations for Real World Planning. CoRR (2022)
Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRL (2022)
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
RT-1: Robotics Transformer for Real-World Control at Scale. CoRR (2022)
Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao
MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs. EMNLP (Demos) (2022)
Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs. CoRR (2022)

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Fei Xia