Educational Background：

• The Chinese University of Hong Kong, Computer Science and Engineering, Ph.D.
• Harbin Institute of Technology, Computer Science and Technology, B.Eng.

Work Experience：

• 2024-Present: School of Data Science, The Chinese University of Hong Kong (Shenzhen), Assistant Professor
• 2021-2023: Max Planck Institute for Informatics, Posdoctoral Researcher

Li Jiang is an Assistant Professor at the School of Data Science, the Chinese University of Hong Kong, Shenzhen, a recipient of Presidential Young Fellow, and holds a joint appointment with the Shenzhen Loop Area Institute (SLAI). 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 perception and spatial intelligence, world modeling, autonomous driving, embodied AI, representation learning, and multi-modal learning. Her work has been published in top-tier conferences and journals such as CVPR, ICCV, NeurIPS, and TPAMI, with multiple oral presentations and spotlight papers. Her research has been cited over 14,000 times on Google Scholar. Her research on motion prediction for autonomous vehicles won the champion of Waymo Open Dataset Motion Prediction Challenge. She has been repeatedly listed among the world’s top 2% scientists (single year) and was selected for the Excellent Young Scientists Fund Program (Overseas).

1. Guiyu Zhang, Chen Shi, Zijian Jiang, Xunzhi Xiang, Jingjing Qian, Shaoshuai Shi, Li Jiang†, “Proteus-ID: ID-Consistent and Motion-Coherent Video Customization”, SIGGRAPH Asia, 2025.

2. Chen Shi, Shaoshuai Shi, Kehua Sheng, Bo Zhang, Li Jiang†, “DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving”, ICCV 2025. (CCF-A)

3. Junchao Huang, Xinting Hu, Shaoshuai Shi, Zhuotao Tian, Li Jiang†, “Edit360: 2D Image Edits to 3D Assets from Any Angle”, ICCV 2025, Highlight. (CCF-A)

4. Zhenhua Ning, Zhuotao Tian, Shaoshuai Shi, Guangming Lu, Daojing He, Wenjie Pei†, Li Jiang†, “Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation”, ICCV 2025. (CCF-A)

5. Jiajun Deng, Tianyu He, Li Jiang, Tianyu Wang, Feras Dayoub, Ian Reid, “3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer”, CVPR 2025. (CCF-A)

6. Haiyang Wang*, Hao Tang*, Li Jiang†, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang†, “GiT: Towards Generalist Vision Transformer through Universal Language Interface”, ECCV 2024, Oral Presentation. (CCF-A)

7. Chen Shi, Shaoshuai Shi, Li Jiang†, “MTR v3: 1st Place Solution for 2024 Waymo Open Dataset Challenge - Motion Prediction”, Waymo Challenge @ CVPRW, 2024.

8. Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao, “Point Transformer V3: Simpler, Faster, Stronger”, CVPR 2024, Oral Presentation. (CCF-A)

9. Bohao Peng, Xiaoyang Wu, Li Jiang†, Yukang Chen, Hengshuang Zhao, Zhuotao Tian†, Jiaya Jia, “Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation”, CVPR 2024. (CCF-A)

10. Li Jiang, Shaoshuai Shi, Bernt Schiele, “Open-Vocabulary 3D Semantic Segmentation with Foundation Models”, CVPR 2024, Highlight. (CCF-A)

11. Shaoshuai Shi*, Li Jiang*†, Dengxin Dai, Bernt Schiele, “MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying”, T-PAMI, 2024. (CCF-A)

12. 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)

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

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

15. 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)

16. 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)

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

18. 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)

19. 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)

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

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