戴勃现任香港大学计算与数据科学学院、同心基金数据科学研究院助理教授。博士毕业于香港中文大学，师从林达华教授。研究兴趣是生成式人工智能及其跨学科应用。曾任职于新加坡南洋理工大学（研究助理教授）和上海人工智能实验室（青年科学家、内容生成与数字化研究团队负责人）。代表性成果包括视频生成领域的开创性和里程碑式工作AnimateDiff，以及城市尺度场景重建与渲染方向的一系列代表性研究，如CityNeRF、GridNeRF、LandMark、Scaffold-GS。谷歌学术引用超过19,000次，近三年连续入选全球前2%顶尖科学家榜单。2024年，戴勃教授创办了Feeling AI（云梧智能），专注于生成式3D动态内容交互，公司成立半年内完成两轮超亿元融资。

生成式人工智能

交互式人工智能

人工智能与创造力

Real-to-Sim-to-Real

1. Yidi Shao, Chen Change Loy, Bo Dai. Learning 3D Garment Animation from Trajectories of A Piece of Cloth. Advances in Neural Information Processing Systems (NeurIPS), 2024.

2. Kailin Li, Jingbo Wang, Lixin Yang, Cewu Lu, Bo Dai. SemGrasp: Semantic Grasp Generation via Language Aligned Discretization. European Conference on Computer Vision (ECCV), 2024. (Oral)

3. Yi Shi, Jingbo Wang, Xuekun Jiang, Bingkun Lin, Bo Dai, Xue Bin Peng. Interactive Character Control with Auto-regressive Motion Diffusion Models. ACM Transactions on Graphics (SIGGRAPH), 2024.

4. Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo Dai. Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering. IEEE/CVF CVPR, 2024. (Highlight)

5. Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai. AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning. ICLR, 2024. (Spotlight)

6. Chong Zhou, Chen Change Loy, Bo Dai. Extract Free Dense Labels from CLIP. ECCV, 2022. (Oral)

7. Yidi Shao, Chen Change Loy, Bo Dai. Transformer with Implicit Edges for Particle-based Physics Simulation. ECCV, 2022.

8. Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin. BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering. ECCV, 2022.

9. Bo Dai, Dahua Lin. Contrastive Learning for Image Captioning. NeurIPS, 2017.

10. Bo Dai, Sanja Fidler, Raquel Urtasun, Dahua Lin. Towards Diverse and Natural Image Descriptions via a Conditional GAN. ICCV, 2017. (Oral)