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ORCIDYang Gao 0029
Person information
- affiliation: Tsinghua University, Beijing, China
- affiliation: Shanghai Artificial Intelligence Laboratory, China
- affiliation: Shanghai Qi Zhi Institute, China
- affiliation (former): University of California Berkeley, Department of Electrical Engineering and Computer Science, CA, USA
Other persons with the same name
- Yang Gao — disambiguation page
- Yang Gao 0001
![[0000-0002-2488-1813]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2488-1813")
— Nanjing University, State Key Laboratory for Novel Software Technology, China - Yang Gao 0002 — University of Surrey, Guildford, UK
- Yang Gao 0003 — University of California, Riverside, CA, USA
- Yang Gao 0004 — University of Calgary, Department of Geomatics Engineering, AB, Canada
- Yang Gao 0005 — University of Edinburgh, Statistical Machine Translation Group, UK
- Yang Gao 0006 — University of Maryland, College Park, MD, USA
- Yang Gao 0007 — Nav Canada (and 1 more)
- Yang Gao 0008 — Lanzhou University, School of Mathematics and Statistics, China
- Yang Gao 0009 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Yang Gao 0010 — Dalian University of Technology, School of Computer Science and Technology, China
- Yang Gao 0011 — University of Oldenburg, Germany
- Yang Gao 0012 — Beijing Satellite Navigation Center, Beijing, China (and 1 more)
- Yang Gao 0013 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yang Gao 0014 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Yang Gao 0015 — Zhejiang University, Qiushi Academy for Advanced Studies, Interdisciplinary Institute of Neuroscience and Technology, Hangzhou, China
- Yang Gao 0016 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China (and 1 more)
- Yang Gao 0017 — National University of Defense Technology, Hefei, China
- Yang Gao 0018 — University of Nottingham, Nottingham Geospatial Institute, UK
- Yang Gao 0019 — Rutgers University, Department of Chemistry and Chemical Biology, Piscataway, NJ, USA
- Yang Gao 0020 — University of Birmingham, UK
- Yang Gao 0021 — Royal Holloway University of London, UK (and 3 more)
- Yang Gao 0022 — University of Waterloo, Waterloo, Ontario, Canada
- Yang Gao 0024 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Yang Gao 0025 — Northwestern University, Department of Computer Science, Chicago, IL, USA (and 1 more)
- Yang Gao 0026 — Soochow University, Suzhou, China
- Yang Gao 0027 — University of Texas at Dallas, TX, USA
- Yang Gao 0028 — Yantai University, Yantai, China
- Yang Gao 0030 — Central South University, Changsha, School of Computer Science and Engineering, Hunan, China (and 1 more)
- Yang Gao 0031 — University of Utah, Department of Computer Science, Salt Lake City, UT, USA
- Yang Gao 0032 — Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
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2020 – today
- 2024
[c27]Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao:
Seer: Language Instructed Video Prediction with Latent Diffusion Models. ICLR 2024- [c26]Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu:
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. ICLR 2024 - [c25]Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao:
Imitation Learning from Observation with Automatic Discount Scheduling. ICLR 2024 - [c24]Chuan Wen, Dinesh Jayaraman, Yang Gao:
Can Transformers Capture Spatial Relations between Objects? ICLR 2024 - [i30]Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel:
Any-point Trajectory Modeling for Policy Learning. CoRR abs/2401.00025 (2024) - [i29]Chengbo Yuan, Chuan Wen, Tong Zhang, Yang Gao:
General Flow as Foundation Affordance for Scalable Robot Learning. CoRR abs/2401.11439 (2024) - [i28]Chuan Wen, Dinesh Jayaraman, Yang Gao:
Can Transformers Capture Spatial Relations between Objects? CoRR abs/2403.00729 (2024) - 2023
- [c23]Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu:
Decision Transformer under Random Frame Dropping. ICLR 2023 - [c22]Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan:
Predictive Inference with Feature Conformal Prediction. ICLR 2023 - [c21]Weirui Ye, Yunsheng Zhang, Pieter Abbeel, Yang Gao:
Become a Proficient Player with Limited Data through Watching Pure Videos. ICLR 2023 - [c20]Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu:
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation. ICRA 2023: 1715-1722 - [i27]Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu:
Decision Transformer under Random Frame Dropping. CoRR abs/2303.03391 (2023) - [i26]Xianfan Gu, Chuan Wen, Jiaming Song, Yang Gao:
Seer: Language Instructed Video Prediction with Latent Diffusion Models. CoRR abs/2303.14897 (2023) - [i25]Weirui Ye, Yunsheng Zhang, Mengchen Wang, Shengjie Wang, Xianfan Gu, Pieter Abbeel, Yang Gao:
Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance. CoRR abs/2310.02635 (2023) - [i24]Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao:
Imitation Learning from Observation with Automatic Discount Scheduling. CoRR abs/2310.07433 (2023) - [i23]Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu:
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. CoRR abs/2311.03351 (2023) - 2022
- [c19]Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao:
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction. ECCV (39) 2022: 392-409 - [c18]Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao:
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming. ICML 2022: 23723-23750 - [c17]Weirui Ye, Pieter Abbeel, Yang Gao:
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions. NeurIPS 2022 - [c16]Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu:
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. NeurIPS 2022 - [i22]Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao:
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming. CoRR abs/2206.10816 (2022) - [i21]Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao:
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction. CoRR abs/2207.09705 (2022) - [i20]Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu:
USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation. CoRR abs/2209.13864 (2022) - [i19]Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan:
Predictive Inference with Feature Conformal Prediction. CoRR abs/2210.00173 (2022) - [i18]Weirui Ye, Pieter Abbeel, Yang Gao:
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions. CoRR abs/2210.12628 (2022) - [i17]Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu:
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning. CoRR abs/2212.08860 (2022) - 2021
- [c15]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. AAAI 2021: 3500-3509 - [c14]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. CVPR 2021: 13834-13844 - [c13]Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao:
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. ICLR 2021 - [c12]Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu:
Mutual Information State Intrinsic Control. ICLR 2021 - [c11]Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman:
Keyframe-Focused Visual Imitation Learning. ICML 2021: 11123-11133 - [c10]Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation. ICRA 2021: 10786-10792 - [c9]Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin:
Reinforcement Learning with Latent Flow. NeurIPS 2021: 22171-22183 - [c8]Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao:
Mastering Atari Games with Limited Data. NeurIPS 2021: 25476-25488 - [i16]Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin:
Reinforcement Learning with Latent Flow. CoRR abs/2101.01857 (2021) - [i15]Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu:
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning. CoRR abs/2103.06386 (2021) - [i14]Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu:
Mutual Information State Intrinsic Control. CoRR abs/2103.08107 (2021) - [i13]Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation. CoRR abs/2103.16765 (2021) - [i12]Chuan Wen, Jierui Lin, Jianing Qian, Yang Gao, Dinesh Jayaraman:
Keyframe-Focused Visual Imitation Learning. CoRR abs/2106.06452 (2021) - [i11]Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao:
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. CoRR abs/2110.15797 (2021) - [i10]Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao:
Mastering Atari Games with Limited Data. CoRR abs/2111.00210 (2021) - 2020
- [c7]Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao:
Fighting Copycat Agents in Behavioral Cloning from Observation Histories. NeurIPS 2020 - [i9]Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. CoRR abs/2009.03456 (2020) - [i8]Chuan Wen, Jierui Lin, Trevor Darrell, Dinesh Jayaraman, Yang Gao:
Fighting Copycat Agents in Behavioral Cloning from Observation Histories. CoRR abs/2010.14876 (2020)
2010 – 2019
- 2019
- [i7]Huazhe Xu, Boyuan Chen, Yang Gao, Trevor Darrell:
Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization. CoRR abs/1910.08143 (2019) - 2018
- [c6]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. ICLR (Workshop) 2018 - [i6]Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell:
Reinforcement Learning from Imperfect Demonstrations. CoRR abs/1802.05313 (2018) - 2017
- [c5]Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-End Learning of Driving Models from Large-Scale Video Datasets. CVPR 2017: 3530-3538 - [c4]Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner:
Generalized Orderless Pooling Performs Implicit Salient Matching. ICCV 2017: 4970-4979 - [i5]Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner:
Generalized orderless pooling performs implicit salient matching. CoRR abs/1705.00487 (2017) - 2016
- [c3]Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell:
Compact Bilinear Pooling. CVPR 2016: 317-326 - [c2]Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell:
Deep learning for tactile understanding from visual and haptic data. ICRA 2016: 536-543 - [c1]Alex Burka, Siyao Hu, Stuart Helgeson, Shweta Krishnan, Yang Gao, Lisa Anne Hendricks, Trevor Darrell, Katherine J. Kuchenbecker:
Proton: A visuo-haptic data acquisition system for robotic learning of surface properties. MFI 2016: 58-65 - [i4]Huazhe Xu, Yang Gao, Fisher Yu, Trevor Darrell:
End-to-end Learning of Driving Models from Large-scale Video Datasets. CoRR abs/1612.01079 (2016) - 2015
- [i3]Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell:
Compact Bilinear Pooling. CoRR abs/1511.06062 (2015) - [i2]Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell:
Deep Learning for Tactile Understanding From Visual and Haptic Data. CoRR abs/1511.06065 (2015) - [i1]Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell:
Fine-grained pose prediction, normalization, and recognition. CoRR abs/1511.07063 (2015)
Coauthor Index
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last updated on 2024-08-16 19:25 CEST by the dblp team
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