Selected Publications
Keyframe-Focused Visual Imitation Learning
International Conference on Machine Learning (ICML), 2021
Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman
[PDF] [arXiv]
International Conference on Machine Learning (ICML), 2021
Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman
[PDF] [arXiv]
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2021
Xiangyu Yue*, Zangwei Zheng*, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni-Vincentelli
[PDF]
Computer Vision and Pattern Recognition (CVPR), 2021
Xiangyu Yue*, Zangwei Zheng*, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni-Vincentelli
[PDF]
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation
International Conference on Robotics and Automation (ICRA), 2021
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [Project Page]
International Conference on Robotics and Automation (ICRA), 2021
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [Project Page]
Mutual Information State Intrinsic Control
International Conference on Learning Representations (ICLR), 2021, Spotlight
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
[PDF]
International Conference on Learning Representations (ICLR), 2021, Spotlight
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
[PDF]
Discovering Autoregressive Orderings with Variational Inference
International Conference on Learning Representations (ICLR), 2021
Xuanlin Li*, Brandon Trabucco*, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
[PDF]
International Conference on Learning Representations (ICLR), 2021
Xuanlin Li*, Brandon Trabucco*, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
[PDF]
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sicheng Zhao*, Yezhen Wang*, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
[PDF] [arXiv]
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sicheng Zhao*, Yezhen Wang*, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
[PDF] [arXiv]
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Neural Information Processing Systems (NeurIPS), 2020
Chuan Wen*, Jierui Lin*, Trevor Darrell, Dinesh Jayaraman, Yang Gao
[PDF] [arXiv]
Neural Information Processing Systems (NeurIPS), 2020
Chuan Wen*, Jierui Lin*, Trevor Darrell, Dinesh Jayaraman, Yang Gao
[PDF] [arXiv]
Risk Averse Robust Adversarial Reinforcement Learning
International Conference on Robotics and Automation (ICRA), 2019
Xinlei Pan, Daniel Seita, Yang Gao, John Canny
[PDF] [Website] [arXiv]
International Conference on Robotics and Automation (ICRA), 2019
Xinlei Pan, Daniel Seita, Yang Gao, John Canny
[PDF] [Website] [arXiv]
Generalized Orderless Pooling Performs Implicit Salient Matching
International Conference on Computer Vision (ICCV), 2017
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
[PDF] [arXiv] [Code]
International Conference on Computer Vision (ICCV), 2017
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
[PDF] [arXiv] [Code]
End-to-end Learning of Driving Models from Large-scale Video Datasets
Computer Vision and Pattern Recognition (CVPR), Oral, 2017
Huazhe Xu*, Yang Gao*, Fisher Yu, Trevor Darrell
[PDF] [Website] [arXiv]
Computer Vision and Pattern Recognition (CVPR), Oral, 2017
Huazhe Xu*, Yang Gao*, Fisher Yu, Trevor Darrell
[PDF] [Website] [arXiv]
Fine-Grained Pose Prediction, Normalization, and Recognition
International Conference on Learning Representations (ICLR), 2016
Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
[PDF] [arXiv]
International Conference on Learning Representations (ICLR), 2016
Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Compact Bilinear Pooling
Computer Vision and Pattern Recognition (CVPR), 2016
Yang Gao, Oscar Beijbom, Ning Zhan, Trevor Darrell
[PDF] [arXiv] [Code]
Computer Vision and Pattern Recognition (CVPR), 2016
Yang Gao, Oscar Beijbom, Ning Zhan, Trevor Darrell
[PDF] [arXiv] [Code]
Deep Learning for Tactile Understanding From Visual and Haptic Data
International Conference on Robotics and Automation (ICRA), 2016
Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell
[PDF] [Dataset] [arXiv]
International Conference on Robotics and Automation (ICRA), 2016
Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell
[PDF] [Dataset] [arXiv]
Publications
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation
European Conference on Computer Vision (ECCV), 2022
Renhao Wang, Hang Zhao†, Yang Gao†
[PDF] [arXiv]
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer
European Conference on Computer Vision (ECCV), 2022
Chenyu Yang*, Wanrong He*, Yingqing Xu†, Yang Gao†
[PDF] [arXiv]
Semantic-Aware Fine-Grained Correspondence
European Conference on Computer Vision (ECCV), 2022, Oral
Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
[PDF] [arXiv]
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
European Conference on Computer Vision (ECCV), 2022
Chia-Chi Chuang*, Donglin Yang*, Chuan Wen*, Yang Gao
[PDF] [arXiv]
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
International Conference on Machine Learning (ICML), 2022
Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
[PDF]
Mastering Atari Games with Limited Data
Neural Information Processing Systems (NeurIPS), 2021
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
[PDF] [GitHub] [Towards Data Science Interview] [Tsinghua News (in Chinese)] [Yannic Kilcher's Explain]
Reinforcement Learning with Latent Flow
Neural Information Processing Systems (NeurIPS), 2021
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
[PDF]
Keyframe-Focused Visual Imitation Learning
International Conference on Machine Learning (ICML), 2021
Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman
[PDF] [arXiv]
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2021
Xiangyu Yue*, Zangwei Zheng*, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni-Vincentelli
[PDF]
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation
International Conference on Robotics and Automation (ICRA), 2021
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [Project Page]
Discovering Autoregressive Orderings with Variational Inference
International Conference on Learning Representations (ICLR), 2021
Xuanlin Li*, Brandon Trabucco*, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
[PDF]
Mutual Information State Intrinsic Control
International Conference on Learning Representations (ICLR), 2021, Spotlight
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
[PDF]
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sicheng Zhao*, Yezhen Wang*, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
[PDF] [arXiv]
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Neural Information Processing Systems (NeurIPS), 2020
Chuan Wen*, Jierui Lin*, Trevor Darrell, Dinesh Jayaraman, Yang Gao
[PDF] [arXiv]
Risk Averse Robust Adversarial Reinforcement Learning
International Conference on Robotics and Automation (ICRA), 2019
Xinlei Pan, Daniel Seita, Yang Gao, John Canny
[PDF] [Website] [arXiv]
Scoring-Aggregating-Planning: Learning Task-Agnostic Priors from Interactions and Sparse Rewards for Zero-Shot Generalization
Workshop on Generalization in Planning Workshop at AAAI, 2019
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Reinforcement Learning from Imperfect Demonstrations
arXiv Preprint, 2018
Yang Gao*, Huazhe Xu*, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
[PDF] [arXiv]
Generalized Orderless Pooling Performs Implicit Salient Matching
International Conference on Computer Vision (ICCV), 2017
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
[PDF] [arXiv] [Code]
End-to-End Learning of Driving Models from Large-Scale Video Datasets
Computer Vision and Pattern Recognition (CVPR), 2017
Huazhe Xu*, Yang Gao*, Fisher Yu, Trevor Darrell
[PDF] [Website] [arXiv]
Streaming Gibbs Sampling for LDA Model
arXiv Preprint, 2016
Yang Gao, Jianfei Chen, Jun Zhu
[PDF] [arXiv]
Deep Learning for Tactile Understanding from Visual and Haptic Data
International Conference on Robotics and Automation (ICRA), 2016
Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell
[PDF] [Website][Dataset] [arXiv]
Compact Bilinear Pooling
Computer Vision and Pattern Recognition (CVPR), 2016
Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
[PDF] [arXiv] [Code]
Fine-Grained Pose Prediction, Normalization, and Recognition
International Conference on Learning Representations (ICLR), 2016
Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Deceptive Answer Prediction with User Preference Graph
Association for Computational Linguistics (ACL), 2013
Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai
[PDF]
European Conference on Computer Vision (ECCV), 2022
Renhao Wang, Hang Zhao†, Yang Gao†
[PDF] [arXiv]
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer
European Conference on Computer Vision (ECCV), 2022
Chenyu Yang*, Wanrong He*, Yingqing Xu†, Yang Gao†
[PDF] [arXiv]
Semantic-Aware Fine-Grained Correspondence
European Conference on Computer Vision (ECCV), 2022, Oral
Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao
[PDF] [arXiv]
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction
European Conference on Computer Vision (ECCV), 2022
Chia-Chi Chuang*, Donglin Yang*, Chuan Wen*, Yang Gao
[PDF] [arXiv]
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
International Conference on Machine Learning (ICML), 2022
Chuan Wen, Jianing Qian, Jierui Lin, Jiaye Teng, Dinesh Jayaraman, Yang Gao
[PDF]
Mastering Atari Games with Limited Data
Neural Information Processing Systems (NeurIPS), 2021
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
[PDF] [GitHub] [Towards Data Science Interview] [Tsinghua News (in Chinese)] [Yannic Kilcher's Explain]
Reinforcement Learning with Latent Flow
Neural Information Processing Systems (NeurIPS), 2021
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin
[PDF]
Keyframe-Focused Visual Imitation Learning
International Conference on Machine Learning (ICML), 2021
Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman
[PDF] [arXiv]
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2021
Xiangyu Yue*, Zangwei Zheng*, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto Sangiovanni-Vincentelli
[PDF]
Zero-shot Policy Learning with Spatial Temporal Reward Decomposition on Contingency-aware Observation
International Conference on Robotics and Automation (ICRA), 2021
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [Project Page]
Discovering Autoregressive Orderings with Variational Inference
International Conference on Learning Representations (ICLR), 2021
Xuanlin Li*, Brandon Trabucco*, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
[PDF]
Mutual Information State Intrinsic Control
International Conference on Learning Representations (ICLR), 2021, Spotlight
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
[PDF]
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Sicheng Zhao*, Yezhen Wang*, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer
[PDF] [arXiv]
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Neural Information Processing Systems (NeurIPS), 2020
Chuan Wen*, Jierui Lin*, Trevor Darrell, Dinesh Jayaraman, Yang Gao
[PDF] [arXiv]
Risk Averse Robust Adversarial Reinforcement Learning
International Conference on Robotics and Automation (ICRA), 2019
Xinlei Pan, Daniel Seita, Yang Gao, John Canny
[PDF] [Website] [arXiv]
Scoring-Aggregating-Planning: Learning Task-Agnostic Priors from Interactions and Sparse Rewards for Zero-Shot Generalization
Workshop on Generalization in Planning Workshop at AAAI, 2019
Huazhe Xu*, Boyuan Chen*, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Reinforcement Learning from Imperfect Demonstrations
arXiv Preprint, 2018
Yang Gao*, Huazhe Xu*, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
[PDF] [arXiv]
Generalized Orderless Pooling Performs Implicit Salient Matching
International Conference on Computer Vision (ICCV), 2017
Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner
[PDF] [arXiv] [Code]
End-to-End Learning of Driving Models from Large-Scale Video Datasets
Computer Vision and Pattern Recognition (CVPR), 2017
Huazhe Xu*, Yang Gao*, Fisher Yu, Trevor Darrell
[PDF] [Website] [arXiv]
Streaming Gibbs Sampling for LDA Model
arXiv Preprint, 2016
Yang Gao, Jianfei Chen, Jun Zhu
[PDF] [arXiv]
Deep Learning for Tactile Understanding from Visual and Haptic Data
International Conference on Robotics and Automation (ICRA), 2016
Yang Gao, Lisa Anne Hendricks, Katherine J. Kuchenbecker, Trevor Darrell
[PDF] [Website][Dataset] [arXiv]
Compact Bilinear Pooling
Computer Vision and Pattern Recognition (CVPR), 2016
Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell
[PDF] [arXiv] [Code]
Fine-Grained Pose Prediction, Normalization, and Recognition
International Conference on Learning Representations (ICLR), 2016
Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell
[PDF] [arXiv]
Deceptive Answer Prediction with User Preference Graph
Association for Computational Linguistics (ACL), 2013
Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai
[PDF]
