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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)
- Yao Lu 0008 — Harbin Institute of Technology at Shenzhen, Department of Computer of Science and Technology, Shenzhen, China (and 1 more)
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2020 – today
- 2025
[c35]Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han:
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training. ICLR 2025- [c34]Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han:
SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers. ICLR 2025 - [i40]Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han:
LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. CoRR abs/2502.14866 (2025) - [i39]Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu:
WorldModelBench: Judging Video Generation Models As World Models. CoRR abs/2502.20694 (2025) - [i38]Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon:
Token-Efficient Long Video Understanding for Multimodal LLMs. CoRR abs/2503.04130 (2025) - [i37]Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin:
Scaling Vision Pre-Training to 4K Resolution. CoRR abs/2503.19903 (2025) - [i36]Qingqing Zhao, Yao Lu, Moo Jin Kim, Zipeng Fu, Zhuoyang Zhang, Yecheng Wu, Zhaoshuo Li, Qianli Ma, Song Han, Chelsea Finn, Ankur Handa, Ming-Yu Liu, Donglai Xiang, Gordon Wetzstein, Tsung-Yi Lin:
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. CoRR abs/2503.22020 (2025) - 2024
- [c33]Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao:
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. ICLR 2024 - [c32]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. ICRA 2024: 645-652 - [c31]Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao:
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. ICRA 2024: 6920-6927 - [i35]Michael Ahn, Debidatta Dwibedi, Chelsea Finn, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Karol Hausman, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Sean Kirmani, Isabel Leal, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, 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 abs/2401.12963 (2024) - [i34]Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin:
X-VILA: Cross-Modality Alignment for Large Language Model. CoRR abs/2405.19335 (2024) - [i33]Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin:
VILA2: VILA Augmented VILA. CoRR abs/2407.17453 (2024) - [i32]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i31]Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han:
LongVILA: Scaling Long-Context Visual Language Models for Long Videos. CoRR abs/2408.10188 (2024) - [i30]Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu:
VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation. CoRR abs/2409.04429 (2024) - [i29]Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han:
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers. CoRR abs/2410.10629 (2024) - [i28]Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Yao Lu, Song Han:
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models. CoRR abs/2410.10733 (2024) - [i27]Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han:
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer. CoRR abs/2410.10812 (2024) - [i26]Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han:
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training. CoRR abs/2410.19313 (2024) - [i25]Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu:
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CoRR abs/2411.12915 (2024) - [i24]Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu:
NVILA: Efficient Frontier Visual Language Models. CoRR abs/2412.04468 (2024) - [i23]Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov:
RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models. CoRR abs/2412.07679 (2024) - 2023
- [c30]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: 2165-2183 - [c29]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: 3397-3417 - [c28]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: 3909-3928 - [c27]Michael S. Ryoo, Keerthana Gopalakrishnan, Kumara Kahatapitiya, Ted Xiao, Kanishka Rao, Austin Stone, Yao Lu, Julian Ibarz, Anurag Arnab:
Token Turing Machines. CVPR 2023: 19070-19081 - [c26]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. ICML 2023: 34556-34583 - [c25]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 - [c24]Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp:
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS 2023 - [c23]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 - [c22]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 - [c21]Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David J. Rendleman, Sean Kirmani, Jeffrey Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. Robotics: Science and Systems 2023 - [i22]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) - [i21]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) - [i20]Alexander Herzog, Kanishka Rao, Karol Hausman, Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeff Bingham, Jonathan Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine:
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. CoRR abs/2305.03270 (2023) - [i19]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) - [i18]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) - [i17]Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp:
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR abs/2310.08710 (2023) - [i16]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 abs/2311.00899 (2023) - [i15]Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao:
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. CoRR abs/2311.01977 (2023) - [i14]Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao:
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. CoRR abs/2312.01990 (2023) - [i13]Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han:
VILA: On Pre-training for Visual Language Models. CoRR abs/2312.07533 (2023) - 2022
- [c20]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 - [c19]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 - [c18]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 - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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
- [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han:
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. NeurIPS 2021: 29995-30007 - [i6]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) - [i5]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) - [i4]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) - [i3]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
- [i2]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
- [j8]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
- [j7]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
- [j6]Feng Chen, Shuang Wang, Xiaoqian Jiang, Sijie Ding, Yao Lu, Jihoon Kim, Süleyman Cenk Sahinalp, Chisato Shimizu, Jane C. Burns, Victoria J. Wright, Eileen Png, Martin L. Hibberd, David D. Lloyd, Hai Yang, Amalio Telenti, Cinnamon S. Bloss, Dov Fox, Kristin E. Lauter, Lucila Ohno-Machado:
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinform. 33(6): 871-878 (2017) - [j5]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) - [c12]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 - [j4]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) - [c11]Feng Chen, Michelle Dow, Sijie Ding, Yao Lu, Xiaoqian Jiang, Hua Tang, Shuang Wang:
PREMIX: PRivacy-preserving EstiMation of Individual admiXture. AMIA 2016 - [c10]Ziyu Wen, Bichuan Quo, Jiashuo Liu, Jisheng Li, Yao Lu, Jiangtao Wen:
Novel 3D-WPP algorithms for parallel HEVC encoding. ICASSP 2016: 1471-1475 - [c9]Xueshi Hou, Yao Lu, Sujit Dey:
A Novel Hyper-Cast Approach to Enable Cloud-Based Virtual Classroom Applications. ISM 2016: 533-536 - 2015
- [j3]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) - [j2]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) - [c8]Dennis Shen, Yao Lu, Sujit Dey:
Motion data alignment for real-time guidance in avatar based physical therapy training system. HealthCom 2015: 238-244 - [c7]Yao Lu, Yao Liu, Sujit Dey:
Optimizing Cloud Mobile 3D Display Gaming user experience by asymmetric object of interest rendering. ICC 2015: 6842-6848 - [c6]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
- [c5]Yao Lu, Yao Liu, Sujit Dey:
Enhancing Cloud Mobile 3D display gaming user experience by asymmetric graphics rendering. ICNC 2014: 368-374 - 2013
- [j1]Qiang Ning, Kan Chen, Li Yi, Chuchu Fan, Yao Lu, Jiangtao Wen:
Image Super-Resolution Via Analysis Sparse Prior. IEEE Signal Process. Lett. 20(4): 399-402 (2013) - [c4]Jiangtao Wen, Shunyao Li, Yao Lu, Meiyuan Fang, Xuan Dong, Huiwen Chang, Pin Tao:
Cross Segment Decoding for Improved Quality of Experience for Video Applications. DCC 2013: 231-240 - [c3]Tong Shen, Yao Lu, Ziyu Wen, Linxi Zou, Yucong Chen, Jiangtao Wen:
Ultra Fast H.264/AVC to HEVC Transcoder. DCC 2013: 241-250 - [c2]Jiangtao Wen, Bohan Li, Shunyao Li, Yao Lu, Pin Tao:
Cross Segment Decoding of HEVC for Network Video Applications. PV 2013: 1-8 - 2011
- [c1]Xuan Dong, Guan Wang, Yi Pang, Weixin Li, Jiangtao Wen, Wei Meng, Yao Lu:
Fast efficient algorithm for enhancement of low lighting video. ICME 2011: 1-6 - [i1]Xuan Dong, Jiangtao Wen, Weixin Li, Yi Pang, Guan Wang, Yao Lu, Wei Meng:
An Efficient and Integrated Algorithm for Video Enhancement in Challenging Lighting Conditions. CoRR abs/1102.3328 (2011)
Coauthor Index
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