教育经历：

• 香港中文大学 计算机科学与工程 博士学位
• 哈尔滨工业大学 计算机科学与技术 学士学位

工作经历：

• 2024-至今：香港中文大学（深圳）数据科学学院 助理教授
• 2021-2023：马克斯普朗克研究所 博士后研究员

蒋理，香港中文大学（深圳）数据科学学院助理教授，校长青年学者，于深圳河套学院双聘。于2021年获得香港中文大学博士学位，其后在马克斯·普朗克研究所担任博士后研究员。其研究聚焦于计算机视觉与人工智能，具体方向包括三维感知与空间智能、世界模型、自动驾驶、具身智能、表征学习以及多模态学习等。其研究成果发表在CVPR、ICCV、NeurIPS、和TPAMI等顶级会议和期刊中，并多次获选口头报告与亮点论文，谷歌学术引用量超过14,000次。其关于自动驾驶运动预测的研究在2022-2024年的CVPR Waymo Open Dataset Motion Prediction Challenge中连续三届获得第一名。多次入选由斯坦福大学与爱思唯尔联合发布的全球前2%顶尖科学家年度影响力榜单，并获得国家级青年人才项目资助。

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.