高阳在美国加州大学伯克利分校获得博士学位，师从Trevor Darrell教授，他还在伯克利大学与Pieter Abbeel等人合作完成了博士后工作。高阳主要研究计算机视觉与机器人学，在此之前，高阳从清华大学计算机系毕业，与朱军教授在贝叶斯推理方面开展了研究工作，他还在2011-2012年在谷歌研究院进行了自然语言处理相关的研究工作、2016年在谷歌自动驾驶部门Waymo的相机感知团队实习，他在2018年与Vladlen Koltun博士在英特尔研究院在端到端自动驾驶方面进行了研究工作。
计算机视觉
强化学习
1. Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao,An Empirical Study on Disentanglement of Negative-free Contrastive Learning, 2022 Neural Information Processing Systems (NeurIPS), 2022
2. Zhao-Heng Yin, Weirui Ye, Qifeng Chen, Yang Gao,Planning for Sample Efficient Imitation Learning,2022 Neural Information Processing Systems (NeurIPS), 2022.
3. Weirui Ye, Pieter Abbeel, Yang Gao,Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions,2022 Neural Information Processing Systems (NeurIPS), 2022
4. Renhao Wang, Hang Zhao, Yang Gao,CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation, 2022 European Conference on Computer Vision (ECCV), 2022
5. Chenyu Yang, Wanrong He, Yingqing Xu, and Yang Gao,EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer, 2022European Conference on Computer Vision (ECCV), 2022.
6. Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao,Semantic-Aware Fine-Grained Correspondence,2022 European Conference on Computer Vision (ECCV), 2022.
7. Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao,Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction,2022 European Conference on Computer Vision (ECCV), 2022.
8. Chuan Wen*, Jierui Lin*, Jianing Qian, Yang Gao, Dinesh Jayaraman Keyframe-Focused Visual Imitation Learning. International Conference on Machine Learning (ICML) , 2021.
9. Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao Mastering Atari Games with Limited Data Advances. Neural Information Processing Systems (NeurIPS), 2021.
10. Chuan Wen*, Jierui Lin*, Trevor Darrell, Dinesh Jayaraman, Yang Gao Fighting Copycat Agents in Behavioral Cloning from Observation Histories Neural Information Processing Systems (NeurIPS), 2020.
