赵行的主要研究兴趣包括计算机视觉，多模态机器学习，以及自动驾驶等机器人应用。在此之前，赵行在麻省理工学院取得了博士学位，师从MIT AI&D系主任Antonio Torralba教授。后于谷歌无人车项目Waymo担任研究科学家，提出了自动驾驶预测领域的一系列框架性工作。赵行博士的工作曾被多家主流科技媒体报道，如BBC, NBC, 麻省理工科技评论等。他的工作获得了2015年ICCP最佳论文奖。
多模态学习
自动驾驶
计算机视觉
机器人学
福布斯中国30位30岁以下精英（科学榜，2020年）
Snap Research Fellowship 2019
MIT Rohsenow Fellowship 2013
1. Qiao Sun, Xin Huang, Brian C Williams, Hang Zhao，InterSim: Interactive Traffic Simulation via Explicit Relation Modeling，2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
2. Renhao Wang, Hang Zhao, Yang Gao,CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation, 2022 European Conference on Computer Vision (ECCV), 2022
3. Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao, Learning Visual Styles from Audio-Visual Associations, 2022 European Conference on Computer Vision (ECCV), 2022
4. Running Zhao, Jiangtao Yu, Tingle Li, Hang Zhao, Edith C.H. Ngai, Radio2Speech: High Quality Speech Recovery from Radio Frequency Signals,Interspeech，2022
5. Zui Chen, Yansen Jing, Shengcheng Yuan, Yifei Xu, Jian Wu, Hang Zhao，Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation，2022 International Joint Conference on Artificial Intelligence（IJCAI), 2022
6. Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinghong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao, AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection, 2022 International Joint Conference on Artificial Intelligence（IJCAI), 2022
7. Tianyuan Zhang, Xuanyao Chen, Yue Wang, Yilun Wang, Hang Zhao, MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries, CVPR Workshop on Autonomous Driving, 2022
8. Qiao Sun, Xin Huang, Junru Gu, Brian C Williams, Hang Zhao, M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction, 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
9. Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao, Co-advise: Cross Inductive Bias Distillation, 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
10. Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang, Embracing Single Stride 3D Object Detector with Sparse Transformer, 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
11. Yiming Li, Ziang Cao, Andrew Liang, Benjamin Liang, Luoyao Chen, Hang Zhao, Chen Feng, Egocentric Prediction of Action Target in 3D, 2022
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
12. Yue Zhao, Chenzhuang Du, Hang Zhao, Tiejun Li, Intrinsically Motivated Self-supervised Learning in Reinforcement Learning, 2022 IEEE International Conference on Robotics and Automation(ICRA), 2022
13. Qi Li, Yue Wang, Yilun Wang, Hang Zhao, HDMapNet: An Online HD Map Construction and Evaluation Framework, 2022 IEEE International Conference on Robotics and Automation(ICRA), 2022
14. Jianren Wang, Ziwen Zhuang, Hang Zhao, SEMI: Self-supervised Exploration via Multisensory Incongruity, 2022 IEEE International Conference on Robotics and Automation(ICRA), 2022
15. Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas Guibas, IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes, 2022 IEEE International Conference on Robotics and Automation(ICRA), 2022
16. Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao, SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations, 2022 AAAI Conference on Artificial Intelligence(AAAI), 2022
17. Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang, What Makes Multi-Modal Learning Better than Single (Provably), 2021 Conference and Workshop on Neural Information Processing Systems(NeuRIPS), 2021
18. Chenxu Hu, Qiao Tian, Tingle Li, Yuping Wang, Yuxuan Wang, Hang Zhao, Neural Dubber: Dubbing for Videos According to Scripts, 2021 Conference and Workshop on Neural Information Processing Systems(NeuRIPS), 2021
19. Xiaosong Jia, Liting Sun, Hang Zhao, Masayoshi Tomizuka, Wei Zhan, Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views, 2021 Conference on Robot Learning(CoRL), 2021
20. Jianren Wang, Ziwen Zhuang, Yuyang Wang, Hang Zhao, Adversarially Robust Imitation Learning, 2021 Conference on Robot Learning(CoRL), 2021
21. Tingle Li, Yichen Liu, Chenxu Hu, Hang Zhao, CVC: Contrastive Learning for Non-parallel Voice Conversion, Interspeech 2021
22. Junru Gu, Chen Sun, Hang Zhao, DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets, 2021 IEEE International Conference on Computer Vision(ICCV), 2021
23. Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao, Multimodal Knowledge Expansion, 2021 IEEE International Conference on Computer Vision(ICCV), 2021
24. Tianyu Hua, Wenxiao Wang, Zihui Xue, Yue Wang,Sucheng Ren, Hang Zhao, On Feature Decorrelation in Self-Supervised Learning, 2021 IEEE International Conference on Computer Vision(ICCV), 2021
25. Jianren Wang, Yujie Lu, Hang Zhao, CLOUD: Contrastive Learning of Unsupervised Dynamics, 2020 Conference on Robot Learning(CoRL), 2020
