高阳 - 清华大学 - 交叉信息研究院

个人简介

I am an Assistant Professor at Institute for Interdisciplinary Information Science (IIIS) at Tsinghua University. I am interested in the intersection between computer vision and robotics. Specifically, I want to explore how to utilize the prior knowledge we have from computer vision to do robot manipulation tasks both more efficiently and effectively. This not only involves understanding how to use the previous visual experiences but also potentially needs re-designing robotic learning algorithms to better handles the visual states. Thus, it is a co-design problem between vision and robotics. As testing benchmarks, I work on robot manipulation and autonomous driving applications, both in simulation and in the real world. Previously, I obtained my Ph.D. degree from UC Berkeley, advised by Prof. Trevor Darrell and B.E. from the Computer Science Department at Tsinghua University.

近期论文

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For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal International Conference on Machine Learning (ICML), 2023 Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao Policy Contrastive Imitation Learning International Conference on Machine Learning (ICML), 2023 Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao Programmatically Grounded, Compositionally Generalizable Robotic Manipulation International Conference on Learning Representations (ICLR), 2023, Spotlight Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao Become a Proficient Player with Limited Data through Watching Pure Videos International Conference on Learning Representations (ICLR), 2023 Weirui Ye*, Yunsheng Zhang*, Pieter Abbeel, Yang Gao Predictive Inference with Feature Conformal Prediction International Conference on Learning Representations (ICLR), 2023 Jiaye Teng*, Chuan Wen*, Dinghuai Zhang*, Yoshua Bengio, Yang Gao, Yang Yuan SpeedyZero: Mastering Atari with Limited Data and Time International Conference on Learning Representations (ICLR), 2023 Yixuan Mei, Jiaxuan Gao, Weirui Ye, Shaohuai Liu, Yang Gao†, Yi Wu† Decision Transformer under Random Frame Dropping International Conference on Learning Representations (ICLR), 2023 Kaizhe Hu, Ray Chen Zheng, Yang Gao, Huazhe Xu USEEK: Unsupervised SE (3)-Equivariant 3D Keypoints for Generalizable Manipulation International Conference on Robotics and Automation (ICRA), 2023 Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, Xueqian Wang, Yang Gao, Huazhe Xu Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination AAAI Conference on Artificial Intelligence (AAAI), 2023 Rui Zhao, Jinming Song, Yufeng Yuan, Hu Haifeng, Yang Gao, Yi Wu, Zhongqian Sun, Yang Wei An Empirical Study on Disentanglement of Negative-free Contrastive Learning Neural Information Processing Systems (NeurIPS), 2022 Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao Planning for Sample Efficient Imitation Learning Neural Information Processing Systems (NeurIPS), 2022 Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions Neural Information Processing Systems (NeurIPS), 2022 Weirui Ye, Pieter Abbeel, Yang Gao Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Neural Information Processing Systems (NeurIPS), 2022, Spotlight Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation European Conference on Computer Vision (ECCV), 2022 Renhao Wang, Hang Zhao†, Yang Gao† EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer European Conference on Computer Vision (ECCV), 2022 Chenyu Yang*, Wanrong He*, Yingqing Xu†, Yang Gao† Semantic-Aware Fine-Grained Correspondence European Conference on Computer Vision (ECCV), 2022, Oral Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao 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 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 Mastering Atari Games with Limited Data Neural Information Processing Systems (NeurIPS), 2021 Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao 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 Keyframe-Focused Visual Imitation Learning International Conference on Machine Learning (ICML), 2021 Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman 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 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 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 Mutual Information State Intrinsic Control International Conference on Learning Representations (ICLR), 2021, Spotlight Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu 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 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 Risk Averse Robust Adversarial Reinforcement Learning International Conference on Robotics and Automation (ICRA), 2019 Xinlei Pan, Daniel Seita, Yang Gao, John Canny 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 Reinforcement Learning from Imperfect Demonstrations arXiv Preprint, 2018 Yang Gao*, Huazhe Xu*, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell Generalized Orderless Pooling Performs Implicit Salient Matching International Conference on Computer Vision (ICCV), 2017 Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner 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 Streaming Gibbs Sampling for LDA Model arXiv Preprint, 2016 Yang Gao, Jianfei Chen, Jun Zhu 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 Compact Bilinear Pooling Computer Vision and Pattern Recognition (CVPR), 2016 Yang Gao, Oscar Beijbom, Ning Zhang, Trevor Darrell Fine-Grained Pose Prediction, Normalization, and Recognition International Conference on Learning Representations (ICLR), 2016 Ning Zhang, Evan Shelhamer, Yang Gao, Trevor Darrell Deceptive Answer Prediction with User Preference Graph Association for Computational Linguistics (ACL), 2013 Fangtao Li, Yang Gao, Shuchang Zhou, Xiance Si, Decheng Dai

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