Educational Background ：

2015-2019, The Chinese University of Hong Kong, PhD

2011-2015, Huazhong University of Science and Technology, BEng

Work Experience ：

Present, The University of Hong Kong, Assistant Professor

2021-2022, Massachusetts Institute of Technology, Postdoctoral Researcher

2020-2021, University of Oxford, Postdoctoral Researcher

Hengshuang Zhao, PhD, an Assistant Professor at the School of Computing and Data Science, The University of Hong Kong, and a NSFC Excellent Young Scientist. He was a postdoctoral researcher at Massachusetts Institute of Technology and the University of Oxford. His research focuses on computer vision, embodied ai, machine learning, and artificial intelligence. He has published over 120 papers in leading venues such as CVPR, NeurIPS, and IEEE TPAMI, with about 55,000 citations. He serves as an Area Chair for CVPR, ICCV, ECCV, NeurIPS, ICML, and ICLR, an Associate Editor for IEEE TPAMI, Pattern Recognition, and a Guest Editor for TCSVT.

Representative Publications：

1. Pyramid Scene Parsing Network

Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

2. ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia

European Conference on Computer Vision (ECCV), 2018

3. PSANet: Point-wise Spatial Attention Network for Scene Parsing

Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia

European Conference on Computer Vision (ECCV), 2018

4. PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing

Hengshuang Zhao, Li Jiang, Chi-Wing Fu, Jiaya Jia

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

5. Exploring Self-attention for Image Recognition

Hengshuang Zhao, Jiaya Jia, Vladlen Koltun

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020

6. Point Transformer

Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, Vladlen Koltun

IEEE International Conference on Computer Vision (ICCV), 2021

7. Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao

Neural Information Processing Systems (NeurIPS), 2022

8. Point Transformer V3: Simpler, Faster, Stronger

Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

9. Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

10. Depth Anything V2

Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

Neural Information Processing Systems (NeurIPS), 2024