I am a Postdoctoral Research Fellow at the Department of Electronic Engineering, Tsinghua University. Before that, I received my Ph.D. in Computer Science from Chongqing University in 2024.

My research interests include Spatiotemporal Data Mining and Large Language Model Agents. I have published over 10 papers in top-tier conferences and journals with total google scholar citations 100+

Office Address:
FIB LAB (Room 10-202), ROHM Building,
30 Shuangqing Road, Haidian District,
Beijing 100084, China.
Website: https://fi.ee.tsinghua.edu.cn/

🔥 News

2025.09: 🎉🎉 We release a latest survey about Embodied World Models !

📝 Publications

Jie Zhao, Jie Feng, Yong Li, AgentTravel: Knowledge-Augmented LLM Agent Framework for Urban Travel Planning, NeurIPS Workshop Mexico City NORA, 2025.
Yuwei Du, Jie Feng, Jie Zhao, Jian Yuan, Yong Li, TrajAgent: An LLM-based Agent Framework for Automated Trajectory Modeling via Collaboration of Large and Small Models, NeurIPS, 2025.
Jie Zhao, Chao Chen, Wanyi Zhang, Mingyu Deng, Huayan Pu, Jun Luo, SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding, ACM Transactions on Knowledge Discovery from Data (TKDD), 2025.
Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang, UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks, AAAI, 2025.
Jie Feng, Yuwei Du, Jie Zhao, Yong Li, AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction, NAACL, 2025.
Mingyu Deng, Chao Chen, Wanyi Zhang, Jie Zhao, Wei Yang, Suiming Guo, Huayan Pu, Jun Luo, HyperRegion: Integrating Graph and Hypergraph Contrastive Learning for Region Embeddings, IEEE Transactions on Mobile Computing (TMC), 2024.
Mingyu Deng, Wanyi Zhang, Jie Zhao, Zhu Wang, Mingliang Zhou, Jun Luo, Chao Chen, A Novel Framework for Joint Learning of City Region Partition and Representation, ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2024.
Jie Zhao, Chao Chen, Wanyi Zhang, Ruiyuan Li, Fuqiang Gu, Songtao Guo, Jun Luo, Yu Zheng, Coupling Makes Better: An Intertwined Neural Network for Taxi and Ridesourcing Demand Co-Prediction, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2024.
Jie Zhao, Chao Chen, Chengwu Liao, Hongyu Huang, Jie Ma, Huayan Pu, Jun Luo, Tao Zhu, Shilong Wang, 2F-TP: Learning Flexible Spatiotemporal Dependency for Flexible Traffic Prediction, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023.
Jie Zhao, Chao Chen, Linli Jiang, Chengwu Liao, Kaiqiang An, Yuanjie Li, Guoping Liu, Xiang Wen, Runbo Hu, Hua Chai, L2RR: Towards a More Diversified Navigation Service with Learning to Rank Routes Framework, IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023.
Jie Zhao, Chao Chen, Hongyu Huang, Chaocan Xiang, Unifying Uber and Taxi Data via Deep Models for Taxi Passenger Demand Prediction, Personal and Ubiquitous Computing (PUC), 2023.
Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao, Yangyong Zhu, Temporal Super-Resolution Traffic Flow Forecasting via Continuous-Time Network Dynamics, Knowledge and Information Systems (KAIS), 2023.
Xuefeng Xie, Jie Zhao, Chao Chen, Lin Wang, AF-TCP: Traffic Congestion Prediction at Arbitrary Road Segment and Flexible Future Time, International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2021.

🎖 Honors and Awards

2023 National Scholarship for Doctoral Students, Ministry of Education.
2023 Outstanding Graduate Award, Chongqing University.

📖 Experience

Work

2024.11 - 2026.11, Postdoctoral Research Fellow, Department of Electronic Engineering, Tsinghua University, Beijing, China. In cooperation with Prof. Yong LI.
2024.06 - 2024.09, Research Assistant, The Hong Kong University of Science and Technology, Guangzhou, China. In cooperation with Prof. Yuxuan LIANG.

Education