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Jiangtao Gong  Assistant Researcher / Assistant Professor

Dr. Jiangtao Gong is currently an Assistant Professor at Institute for AI Industry Research (AIR), Tsinghua University.  She previously served as a Senior Researcher at Lenovo Research, where she was responsible for innovative intelligent interaction systems on the Technology Strategy and Innovation Incubation Platform. She completed her Ph.D. under the supervision of Professor Xu Yingqing, a Changjiang Scholar and Director of the Future Lab at Tsinghua University. Her postdoctoral research was conducted under the guidance of Dr. Yong Rui, Lenovo Group Global CTO and Academician, and Dr. Wang Qianying, Vice President of Lenovo Group.
Dr. Gong's primary research focuses on intelligent system design and embodied cognitive enhancement for human-like agents in scenarios involving intensive cognitive activities such as learning, driving, and working. She has extensive interdisciplinary research experience: she completed her undergraduate studies at the School of Software, Tsinghua University, with a second degree in Digital Entertainment Design. She then pursued her Ph.D. directly at the Future Lab of Tsinghua University, conducting human-computer interaction research based on cognitive behavioral science and cognitive neuroscience. She was honored as an Outstanding Doctoral Graduate of Beijing and Department Representative.
As a project leader, Dr. Gong has undertaken various national and regional research projects, including the National Key R&D Program and multiple Beijing Municipal Science & Technology Commission projects. She has published over 40 research papers in premier human-computer interaction conferences (such as CHI, CSCW, UIST, and IMUWT) and top artificial intelligence/robotics conferences (including ICRA, IROS, WWW, ICCV, and ICLR). She holds more than 30 domestic and international patents. She has served as Associate Chair, Paper Session Chair, and Demo Chair for CHI and CICAI conferences. She has received funding from the National Natural Science Foundation of China, Ministry of Science and Technology Key R&D Projects, and Beijing Natural Science Foundation. Her honors include the Artificial Intelligence Association Outstanding Service Award and a letter of appreciation from the Beijing Winter Olympics Organizing Committee.


Email address:

gongjiangtao@air.tsinghua.edu.cn


Education:

2013-2018 Ph.D. , The Future Lab, Tsinghua University
2008-2013 B.E. , School of Software, Tsinghua University


Career:

since 2022 Assistant Professor, Institute for AI Industry Research, Tsinghua University
2018-2022 Postdoctoral fellow/Senior Reseacher, Lenovo Research


Research Interests:

Human-Computer Interaction, Cognitive Science, Cognition-inspired AI, Human-Centered AI


Selected Publications:  

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.


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