龚江涛，现任清华大学智能产业研究院助理研究员，曾任联想集团研究院技术战略与创新孵化平台高级研究员，负责智能交互系统创新。博士师从清华大学未来实验室主任，教育部长江学者，徐迎庆教授。博士后合作导师为联想集团全球CTO芮勇院士及联想集团副总裁王茜莺博士。
龚江涛博士的主要研究方向是学习、驾驶、工作等强认知活动场景中的智能系统设计及具身认知增强的类人智能体。有丰富的跨学科交叉学习研究经历：本科就读于清华大学软件学院，并获得了数字娱乐设计的第二学位；研究生阶段直博至清华大学未来实验室，进行基于认知行为科学、认知神经科学的人机交互研究，获得北京市优秀博士毕业生、系毕业生代表等荣誉。龚江涛曾作为子课题负责人承担了包括国家重点研发计划、北京市科委多项纵向科研项目，在顶级人机交互会议（如CHI、CSCW、UIST和IMUWT）以及顶级人工智能/机器人会议（如ICRA、IROS、WWW、ICCV和ICLR）上发表了40余篇相关研究工作，获得30余项国内外发明专利。还担任过CHI和CICAI的Associate Chair、Paper Session Chair和Demo Chair。承担国家自然科学基金、科技部重点研发项目子课题、北京市自然科学基金多项，曾获人工智能协会outstanding service award，北京冬奥组委项目及个人感谢信等荣誉。
邮箱地址：
教育经历：
2013-2018清华大学 未来实验室 人机交互 博士
2008-2013清华大学 软件学院 计算机软件 学士
工作经历：
2022-至今 清华大学智能产业研究院 助理研究员
2018-2022 联想集团 博士后/高级研究员
研究领域：
人机交互，认知科学，认知启发的AI，以人为中心的AI
论文著作：
1. Li, R., Zhu, Y., Liu, M., Zeng, Y., Zhuang, S., Fu, J., ... & Gong, J. (2024). TeleAware Robot: Designing Awareness-augmented Telepresence Robot for Remote Collaborative Locomotion. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(2), 1-33.
2. Zheng, C., Zi, M., Jiang, W., Chu, M., Zhang, Y., Yuan, J., ... & Gong, J. (2023, May). Annotating Covert Hazardous Driving Scenarios Online: Utilizing Drivers' Electroencephalography (EEG) Signals. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 1456-1462). IEEE.
3. Jin, Y., Yang, R., Yi Z., Shen, X., Peng, H., Liu, X., Qin, J., Li, J., ... & Gong, J. (2024). SurrealDriver: Designing LLM-powered Generative Driver Agent Framework based on Human Drivers' Driving-thinking Data. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE.
4. Zheng, X., Wu, L., Yan, Z., Tang, Y., Zhao, H., Zhong, C., ... & Gong, J. (2024). Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE.
5. Ma, Z., Tu, Z., Chen, X., Zhang, Y., Xia, D., Zhou, G., ... & Gong, J. (2024, May). More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning. In Proceedings of the ACM on Web Conference 2024 (pp. 3064-3075).
6. Guo, S., Zhan, L., Cao, Y., Zheng, C., Zhou, G., & Gong, J. (2023). Touch-and-Heal: Data-driven Affective Computing in Tactile Interaction with Robotic Dog. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(2), 1-33.
7. GONG J., HAN Teng, GUO Siling， LI Jiannan, ZHA Siyu, ZHANG Liuxin, WANG Qianying, Rui Yong. “HoloBoard: a Large-format Immersive Teaching Board based on pseudo HoloGraphics”. UIST 2021.
8. Gong, J., Sun, J., Chu, M., Wang, X., Luo, M., Lu, Y., ... & Liu, C. (2023). Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 1-29.
9. Chang, X., Chen, Z., Dong, X., Cai, Y., Yan, T., Cai, H., ... & Gong, J. (2024, May). " It Must Be Gesturing Towards Me": Gesture-Based Interaction between Autonomous Vehicles and Pedestrians. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-25).
10. Yang, R., Zhang, X., Fernandez-Laaksonen, A., Ding, X., & Gong, J. (2024). Driving Style Alignment for LLM-powered Driver Agent. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE.
11. Yan, Z., Li, P., Fu, Z., Xu, S., Shi, Y., Chen, X., ... & Zhao, H. (2023). Int2: Interactive trajectory prediction at intersections. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 8536-8547).
12. Gao, J., Gong, J., Zhou, G., Guo, H., & Qi, T. (2022, October). Learning with yourself: a tangible twin robot system to promote STEM education. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE.
