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ORCIDYao Lu 0006
Person information
- affiliation: Google
- affiliation (PhD 2016): University of California, San Diego, USA
Other persons with the same name
- Yao Lu — disambiguation page
- Yao Lu 0001
![[0000-0003-3760-1638]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3760-1638")
— Beijing Institute of Technology, School of Computer Science, Beijing Laboratory of Intelligent Information Technology, China (and 1 more) - Yao Lu 0002 — University of Tokyo, Department of Complexity Science and Engineering, Japan (and 1 more)
- Yao Lu 0003 — National University of Defense Technology, College of Computer, Changsha, China
- Yao Lu 0004 — Guizhou Normal University, Technology Engineering Centre of Manufacturing Service and Knowledge Engineering, Guiyang, China (and 1 more)
- Yao Lu 0005 — Tianjin University, School of Electrical and Information Engineering, China
- Yao Lu 0007 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 1 more)
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2020 – today
- 2023
[i13]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)- [i12]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) - 2022
- [c14]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 - [c13]Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu:
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. CoRL 2022: 1696-1707 - [c12]Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. ICLR 2022 - [i11]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) - [i10]Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman:
Jump-Start Reinforcement Learning. CoRR abs/2204.02372 (2022) - [i9]Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu:
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. CoRR abs/2210.08217 (2022) - [i8]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) - [i7]Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab:
Token Turing Machines. CoRR abs/2211.09119 (2022) - [i6]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 abs/2212.06817 (2022) - 2021
- [c11]Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine:
AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale. CoRL 2021: 1078-1088 - [c10]Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon:
Taskology: Utilizing Task Relations at Scale. CVPR 2021: 8700-8709 - [c9]Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jacob Varley, Alex Irpan, Benjamin Eysenbach, Ryan Julian, Chelsea Finn, Sergey Levine:
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills. ICML 2021: 1518-1528 - [c8]Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo:
Visionary: Vision architecture discovery for robot learning. ICRA 2021: 10779-10785 - [c7]Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han:
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. NeurIPS 2021: 29995-30007 - [i5]Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo:
Visionary: Vision architecture discovery for robot learning. CoRR abs/2103.14633 (2021) - [i4]Yevgen Chebotar, Karol Hausman, Yao Lu, Ted Xiao, Dmitry Kalashnikov, Jake Varley, Alex Irpan, Benjamin Eysenbach, Ryan Julian, Chelsea Finn, Sergey Levine:
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills. CoRR abs/2104.07749 (2021) - [i3]Dhruv Shah, Peng Xu, Yao Lu, Ted Xiao, Alexander Toshev, Sergey Levine, Brian Ichter:
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. CoRR abs/2111.03189 (2021) - [i2]Yao Lu, Karol Hausman, Yevgen Chebotar, Mengyuan Yan, Eric Jang, Alexander Herzog, Ted Xiao, Alex Irpan, Mohi Khansari, Dmitry Kalashnikov, Sergey Levine:
AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale. CoRR abs/2111.05424 (2021) - 2020
- [i1]Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon:
Taskology: Utilizing Task Relations at Scale. CoRR abs/2005.07289 (2020)
2010 – 2019
- 2019
- [j6]Wenchuan Wei, Yao Lu, Eric Rhoden, Sujit Dey:
User performance evaluation and real-time guidance in cloud-based physical therapy monitoring and guidance system. Multim. Tools Appl. 78(7): 9051-9081 (2019) - 2018
- [j5]Xueshi Hou, Yao Lu, Sujit Dey:
Novel Hybrid-Cast Approach to Reduce Bandwidth and Latency for Cloud-Based Virtual Space. ACM Trans. Multim. Comput. Commun. Appl. 14(3s): 58:1-58:25 (2018) - 2017
- [j4]Yao Lu, Yao Liu, Sujit Dey:
Asymmetric and selective object rendering for optimized Cloud Mobile 3D Display Gaming user experience. Multim. Tools Appl. 76(18): 18291-18320 (2017) - [c6]Xueshi Hou, Yao Lu, Sujit Dey:
Wireless VR/AR with Edge/Cloud Computing. ICCCN 2017: 1-8 - 2016
- [b1]Yao Lu:
Modeling and Optimizing User Experience for Cloud Mobile 3D Applications. University of California, San Diego, USA, 2016 - [j3]Yao Lu, Sujit Dey:
JAVRE: A Joint Asymmetric Video Rendering and Encoding Approach to Enable Optimized Cloud Mobile 3D Virtual Immersive User Experience. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(4): 544-559 (2016) - [c5]Xueshi Hou, Yao Lu, Sujit Dey:
A Novel Hyper-Cast Approach to Enable Cloud-Based Virtual Classroom Applications. ISM 2016: 533-536 - 2015
- [j2]Yao Lu, Yao Liu, Sujit Dey:
Cloud Mobile 3D Display Gaming User Experience Modeling and Optimization by Asymmetric Graphics Rendering. IEEE J. Sel. Top. Signal Process. 9(3): 517-532 (2015) - [j1]Yao Liu, Sujit Dey, Yao Lu:
Enhancing Video Encoding for Cloud Gaming Using Rendering Information. IEEE Trans. Circuits Syst. Video Technol. 25(12): 1960-1974 (2015) - [c4]Dennis Shen, Yao Lu, Sujit Dey:
Motion data alignment for real-time guidance in avatar based physical therapy training system. HealthCom 2015: 238-244 - [c3]Yao Lu, Yao Liu, Sujit Dey:
Optimizing Cloud Mobile 3D Display Gaming user experience by asymmetric object of interest rendering. ICC 2015: 6842-6848 - [c2]Wenchuan Wei, Yao Lu, Catherine D. Printz, Sujit Dey:
Motion data alignment and real-time guidance in cloud-based virtual training system. Wireless Health 2015: 13:1-13:8 - 2014
- [c1]Yao Lu, Yao Liu, Sujit Dey:
Enhancing Cloud Mobile 3D display gaming user experience by asymmetric graphics rendering. ICNC 2014: 368-374
Coauthor Index
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last updated on 2023-03-23 23:26 CET by the dblp team
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