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2020 – today
- 2023
[j84]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: 75859-75874 (2023)- [j83]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): 928-938 (2023) - [c236]Yuanhe Tian, Weidong Chen, Bo Hu, Yan Song, Fei Xia:
End-to-end Aspect-based Sentiment Analysis with Combinatory Categorial Grammar. ACL (Findings) 2023: 13597-13609 - [c235]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: 1032-1042 - [c234]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: 8469-8488 - [c233]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: 704-711 - [c232]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: 5645-5652 - [c231]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 - [c230]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: 9493-9500 - [c229]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: 11509-11522 - [c228]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: 1-5 - [c227]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: 1-6 - [c226]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: 1-5 - [c225]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 T. 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 - [c224]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 - [c223]Andy Zeng, Brian Ichter, Fei Xia, Ted Xiao, Vikas Sindhwani:
Demonstrating Large Language Models on Robots. Robotics: Science and Systems 2023 - [i60]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 abs/2302.11550 (2023) - [i59]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 abs/2303.00855 (2023) - [i58]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 abs/2303.00905 (2023) - [i57]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 abs/2303.03378 (2023) - [i56]Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao:
Neural Comprehension: Language Models with Compiled Neural Networks. CoRR abs/2304.01665 (2023) - [i55]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 abs/2305.05410 (2023) - [i54]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. CoRR abs/2305.12914 (2023) - [i53]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 abs/2306.00923 (2023) - [i52]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) - [i51]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 abs/2306.16740 (2023) - [i50]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 abs/2307.01928 (2023) - [i49]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 abs/2307.04721 (2023) - [i48]Fei Xia, Kyungduk Kim, Yaniv Eliezer, Liam Shaughnessy, Sylvain Gigan, Hui Cao:
Deep Learning with Passive Optical Nonlinear Mapping. CoRR abs/2307.08558 (2023) - [i47]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 T. 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 abs/2307.15818 (2023) - [i46]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 abs/2309.02561 (2023) - [i45]Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh:
Gesture-Informed Robot Assistance via Foundation Models. CoRR abs/2309.02721 (2023) - [i44]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 abs/2309.10150 (2023) - 2022
- [j82]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): 906-916 (2022) - [j81]Ashur Rafiev, Jordan Morris, Fei Xia, Alex Yakovlev, Matthew Naylor, Simon W. Moore, David B. 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: 112-139 (2022) - [c222]Xiusheng Huang, Bin Li, Fei Xia, Yixuan Weng:
A Novel Initial Reminder Framework for Acronym Extraction. SDU@AAAI 2022 - [c221]Bin Li, Fei Xia, Yixuan Weng, Bin Sun, Shutao Li, Xiusheng Huang:
PSG: Prompt-based Sequence Generation for Acronym Extraction. SDU@AAAI 2022 - [c220]Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun:
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation. SDU@AAAI 2022 - [c219]Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He:
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. SDU@AAAI 2022 - [c218]Fei Xia, Bin Li, Yixuan Weng, Xiusheng Huang, Shizhu He:
ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion. SDU@AAAI 2022 - [c217]Yuanhe Tian, Yan Song, Fei Xia:
Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking. ACL (Findings) 2022: 1875-1886 - [c216]Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia:
Extracting and Inferring Personal Attributes from Dialogue. ConvAI@ACL 2022: 58-69 - [c215]Minjun Zhu, Bin Li, Yixuan Weng, Fei Xia:
A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation. DialDoc@ACL 2022: 130-135 - [c214]Bin Li, Yixuan Weng, Fei Xia, Bin Sun, Shutao Li:
VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification. BioNLP@ACL 2022: 212-219 - [c213]Zimu Zheng, Yunzhe Li, Han Song, Lanjun Wang, Fei Xia:
Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework. CIKM 2022: 3705-3714 - [c212]Yuanhe Tian, Yan Song, Fei Xia:
Enhancing Structure-aware Encoder with Extremely Limited Data for Graph-based Dependency Parsing. COLING 2022: 5438-5449 - [c211]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: 80-93 - [c210]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: 287-318 - [c209]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 - [c208]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: 1769-1782 - [c207]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: 14819-14828 - [c206]Dainius Jenkus, Fei Xia, Rishad A. Shafik, Alex Yakovlev:
Runtime Energy Minimization of Distributed Many-Core Systems using Transfer Learning. DATE 2022: 1209-1214 - [c205]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: 122-139 - [c204]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: 426-442 - [c203]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: 148-158 - [c202]Gang Mao, Alex Yakovlev, Fei Xia, Tian Lan, Shengqi Yu, Rishad A. Shafik:
Automated Synthesis of Asynchronous Tsetlin Machines on FPGA. ICECS 2022 2022: 1-4 - [c201]Tian Lan, Fei Xia, Gang Mao, Shengqi Yu, Rishad A. Shafik, Alex Yakovlev:
Editable asynchronous control logic for SAR ADCs. ISCAS 2022: 2645-2649 - [c200]Gang Mao, Alex Yakovlev, Fei Xia, Shengqi Yu, Rishad A. Shafik:
Automated Mapping of Asynchronous Circuits on FPGA under Timing Constraints. ISVLSI 2022: 104-109 - [c199]Yuanhe Tian, Han Qin, Fei Xia, Yan Song:
ChiMST: A Chinese Medical Corpus for Word Segmentation and Medical Term Recognition. LREC 2022: 5654-5664 - [c198]Han Qin, Yuanhe Tian, Fei Xia, Yan Song:
Complementary Learning of Aspect Terms for Aspect-based Sentiment Analysis. LREC 2022: 7029-7039 - [c197]Yuanhe Tian, Han Qin, Fei Xia, Yan Song:
Syntax-driven Approach for Semantic Role Labeling. LREC 2022: 7129-7139 - [c196]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 - [c195]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: 29-35 - [c194]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: 239-246 - [c193]Ping Du, Fei Xia, Anan Sawabe, Takanori Iwai, Akihiro Nakao:
Privacy-Preserving BLE Scanning for Population Estimation to Mitigate the Spread of COVID-19. WF-IoT 2022: 1-6 - [i43]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 abs/2203.16319 (2022) - [i42]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 abs/2204.01691 (2022) - [i41]Bin Li, Yixuan Weng, Fei Xia, Hanjun Deng:
Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages. CoRR abs/2204.04344 (2022) - [i40]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 abs/2204.09220 (2022) - [i39]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 abs/2206.06489 (2022) - [i38]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 abs/2207.05608 (2022) - [i37]Yang Zheng, Tolga Birdal, Fei Xia, Yanchao Yang, Yueqi Duan, Leonidas J. Guibas:
6D Camera Relocalization in Visually Ambiguous Extreme Environments. CoRR abs/2207.06333 (2022) - [i36]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 abs/2209.07753 (2022) - [i35]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 abs/2209.09874 (2022) - [i34]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) - [i33]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. CoRR abs/2210.07372 (2022) - [i32]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) - [i31]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. CoRR abs/2211.16309 (2022) - [i30]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 T. 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 abs/2212.06817 (2022) - 2021
- [j80]Jiaming Mao, Mingming Zhang, Mu Chen, Lu Chen, Fei Xia, Lei Fan, Zixuan Wang, Wenbing Zhao:
Semisupervised Encrypted Traffic Identification Based on Auxiliary Classification Generative Adversarial Network. Comput. Syst. Sci. Eng. 39(3): 373-390 (2021) - [j79]Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox:
PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking. IEEE Trans. Robotics 37(5): 1328-1342 (2021) - [c192]Jiechen Li, Xiangxiang Zeng, Yong Dou, Fei Xia, Shaoliang Peng:
LADstackING: Stacking Ensemble Learning-based Computational Model for Predicting Potential LncRNA-disease Associations. BIBM 2021: 177-182 - [c191]Liangrui Pan, Peng Zhang, Fei Xia, Boya Ji, Wenjuan Liu, Hetian Wang, Yuan Jin, Mitchai Chongcheawchamnan, Shaoliang Peng:
FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy. BIBM 2021: 1032-1036 - [c190]Fei Xia, Yixuan Weng, Maojin Xia, Qiang Yu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Does BERT Know Which Answer Beyond the Question? CCKS (Evaluation Track) 2021: 69-81 - [c189]Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances. CCKS 2021: 198-210 - [c188]Fei Xia, Hu Song, Ming Tang, Lijun Wang, Jing Wan:
Research on Hidden Danger Risk Perception Technology Based on Big Data. CONF-CDS 2021: 149:1-149:5 - [c187]Fei Xia, Hu Song, Ling Wang, Lijun Wang, Jing Wan:
Distributed Data Center Failure Analysis Model Based on Deep Learning. CONF-CDS 2021: 150:1-150:4 - [c186]Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Elliott Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese:
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks. CoRL 2021: 455-465 - [c185]Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei:
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. CoRL 2021: 477-490 - [c184]Fei Xia, Hu Song, Long-Chuan Yan, Yan Li, Li-Jun Wang:
A Survey on Failure Prediction in Large-scale Computing Systems. HPCC/DSS/SmartCity/DependSys 2021: 2028-2033 - [c183]Fei Xia, Jiaming Mao, Zhipeng Shao, Liangjie Xu, Ran Zhao, Yunzhi Yang:
An Authentication Mechanism for IoT Devices Based on Traceable and Revocable Identity-Based Encryption. ICAIS (2) 2021: 550-562 - [c182]Ibrahim Haddadi, Issa Qiqieh, Rishad A. Shafik, Fei Xia, Mohammed A. Noaman Al-Hayanni, Alex Yakovlev:
Run-time Configurable Approximate Multiplier using Significance-Driven Logic Compression. ICCD 2021: 117-124 - [c181]Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese:
ReLMoGen: Integrating Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA 2021: 4583-4590 - [c180]Wei Wen, Fei Xia, Lin Xia:
Real-time personnel counting of indoor area division based on improved YOLOV4-Tiny. IECON 2021: 1-6 - [c179]Noriaki Hirose, Shun Taguchi, Fei Xia, Roberto Martín-Martín, Kosuke Tahara, Masanori Ishigaki, Silvio Savarese:
Probabilistic Visual Navigation with Bidirectional Image Prediction. IROS 2021: 1539-1546 - [c178]Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Claudia Pérez-D'Arpino, Shyamal Buch, Sanjana Srivastava, Lyne Tchapmi, Micael Tchapmi, Kent Vainio, Josiah Wong, Li Fei-Fei, Silvio Savarese:
iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes. IROS 2021: 7520-7527 - [c177]Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang:
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD 2021: 2543-2553 - [e4]Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-52-7 [contents] - [e3]Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 2: Short Papers), Virtual Event, August 1-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-53-4 [contents] - [e2]Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli:
Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021. Findings of ACL ACL/IJCNLP 2021, Association for Computational Linguistics 2021, ISBN 978-1-954085-54-1 [contents] - [i29]Dainius Jenkus,