Ph.D. in Computer Science and Engineering, Chinese University of Hong Kong, 2021

B.Eng. in Computer Science and Technology, Harbin Institute of Technology, 2017

Li Jiang is an Assistant Professor at the School of Data Science, the Chinese University of Hong Kong, Shenzhen. Following the completion of her PhD degree from the Chinese University of Hong Kong in 2021, she advanced her academic journey as a postdoctoral researcher within the Department of Computer Vision and Machine Learning at the Max Planck Institute for Informatics. She has been awarded Lise Meitner Postdoctoral Fellowship and Hong Kong Ph.D. Fellowship.

Li’s research interests lie in the area of computer vision and machine learning, with a focus on 3D scene understanding, autonomous driving, representation learning, and multi-modal learning. Her works are published at top-tier conferences and journals, such as CVPR, ICCV, ECCV, NeurIPS, TPAMI, and IJCV, constantly pushing the state-of-the-art of different 3D understanding tasks and promoting the development of 3D perception. Her research on motion prediction for autonomous vehicles won the champion of Waymo Open Dataset Motion Prediction Challenge.

1. Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele, “Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding”, CVPR 2023. (CCF-A)

2. Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia, “Learning Context-aware Classifier for Semantic Segmentation”, AAAI 2023, Oral Presentation. (CCF-A)

3. Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao, “Point Transformer V2: Grouped Vector Attention and Partition-based Pooling”, NeurIPS 2022. (CCF-A)

4. Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele, “Motion Transformer with Global Intention Localization and Local Movement Refinement”, NeurIPS 2022, Oral Presentation. (CCF-A)

5. Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li, “PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection”, IJCV 2022. (CCF-A, IF: 11.541)

6. Wu Zheng, Li Jiang, Fanbin Lu, Yangyang Ye, Chi-Wing Fu, “Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds”, ACMMM 2022. (CCF-A)

7. Runyu Ding*, Jihan Yang*, Li Jiang, Xiaojuan Qi, (*: equal contribution), “DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation”, ECCV 2022.

8. Zetong Yang*, Li Jiang*, Yanan Sun, Bernt Schiele, Jiaya Jia, (*: equal contribution), “A Unified Query-based Paradigm for Point Cloud Understanding”, CVPR 2022. (CCF-A)

9. Wu Zheng, Mingxuan Hong, Li Jiang, Chi-Wing Fu, “Boosting 3D Object Detection by Simulating Multimodality on Point Clouds”, CVPR 2022, Oral Presentation. (CCF-A)

10. Zhuotao Tian, Xin Lai, Li Jiang, Michelle Shu, Hengshuang Zhao, Jiaya Jia, “Generalized Few-Shot Semantic Segmentation”, CVPR 2022. (CCF-A)

11. Xin Lai*, Jianhui Liu*, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia, (*: equal contribution), “Stratified Transformer for 3D Point Cloud Segmentation”, CVPR 2022. (CCF-A)

12. Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia, “Adaptive Perspective Distillation for Semantic Segmentation”, T-PAMI, 2022. (CCF-A, IF: 17.73)

13. Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia, “Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation”, ICCV 2021. (CCF-A)

14. Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, Vladlen Koltun, “Point Transformer”, ICCV 2021. (CCF-A)

15. Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia, (*: equal contribution), “Semi-supervised Semantic Segmentation with Directional Context-aware Consistency”, CVPR 2021. (CCF-A)

16. Wenbo Hu*, Hengshuang Zhao*, Li Jiang, Jiaya Jia, Tien-Tsin Wong, (*: equal contribution), “Bidirectional Projection Network for Cross Dimension Scene Understanding”, CVPR 2021, Oral Presentation. (CCF-A)

17. Wu Zheng, Weiliang Tang, Li Jiang, Chi-Wing Fu, “SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud”, CVPR 2021. (CCF-A)

18. Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu, “CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud”, AAAI 2021. (CCF-A)

19. Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia, “PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation”, CVPR 2020, Oral Presentation. (CCF-A)

20. Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li, “PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection”, CVPR 2020. (CCF-A)

21. Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia, “Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation”, ICCV 2019. (CCF-A)

22. Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia, “Amodal Instance Segmentation through KINS Dataset”, CVPR 2019. (CCF-A)

23. Hengshuang Zhao*, Li Jiang*, Chi-Wing Fu, Jiaya Jia, (*: equal contribution), “PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing”, CVPR 2019. (CCF-A)

24. Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia, “GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction”, ECCV 2018, Oral Presentation.