Jie Zhao

According to our database, Jie Zhao authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SE-GCL: A Semantic-Enhanced Graph Contrastive Learning Framework for Road Network Embedding.

Jie Zhao, Chao Chen, Wanyi Zhang, Mingyu Deng, Huayan Pu, Jun Luo

ACM Trans. Knowl. Discov. Data, September, 2025

HyperRegion: Integrating Graph and Hypergraph Contrastive Learning for Region Embeddings.

Mingyu Deng, Chao Chen, Wanyi Zhang, Jie Zhao, Wei Yang, Suiming Guo, Huayan Pu, Jun Luo

IEEE Trans. Mob. Comput., May, 2025

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science.

Jie Feng, Jinwei Zeng, Qingyue Long, Hongyi Chen, Jie Zhao, Yanxin Xi, Zhilun Zhou, Yuan Yuan, Shengyuan Wang, Qingbin Zeng, Songwei Li, Yunke Zhang, Yuming Lin, Tong Li, Jingtao Ding, Chen Gao, Fengli Xu, Yong Li

CoRR, April, 2025

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction.

Jie Feng, Yuwei Du, Jie Zhao, Yong Li

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks.

Jie Zhao, Chao Chen, Yuanshao Zhu, Mingyu Deng, Yuxuan Liang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Novel Framework for Joint Learning of City Region Partition and Representation.

Mingyu Deng, Wanyi Zhang, Jie Zhao, Zhu Wang, Mingliang Zhou, Jun Luo, Chao Chen

ACM Trans. Multim. Comput. Commun. Appl., July, 2024

Coupling Makes Better: An Intertwined Neural Network for Taxi and Ridesourcing Demand Co-Prediction.

Jie Zhao, Chao Chen, Wanyi Zhang, Ruiyuan Li, Fuqiang Gu, Songtao Guo, Jun Luo, Yu Zheng

IEEE Trans. Intell. Transp. Syst., February, 2024

TrajAgent: An Agent Framework for Unified Trajectory Modelling.

Yuwei Du, Jie Feng, Jie Zhao, Yong Li

CoRR, 2024

AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework.

Jie Feng, Yuwei Du, Jie Zhao, Yong Li

CoRR, 2024

2023

2F-TP: Learning Flexible Spatiotemporal Dependency for Flexible Traffic Prediction.

Jie Zhao, Chao Chen, Chengwu Liao, Hongyu Huang, Jie Ma, Huayan Pu, Jun Luo, Tao Zhu, Shilong Wang

IEEE Trans. Intell. Transp. Syst., December, 2023

Temporal super-resolution traffic flow forecasting via continuous-time network dynamics.

Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao, Yangyong Zhu

Knowl. Inf. Syst., November, 2023

Unifying Uber and taxi data via deep models for taxi passenger demand prediction.

Jie Zhao, Chao Chen, Hongyu Huang, Chaocan Xiang

Pers. Ubiquitous Comput., 2023

L2RR: Towards a More Diversified Navigation Service with Learning to Rank Routes Framework.

Jie Zhao, Chao Chen, Linli Jiang, Chengwu Liao, Kaiqiang An, Yuanjie Li, Guoping Liu, Xiang Wen, Runbo Hu, Hua Chai

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2021

AF-TCP: Traffic Congestion Prediction at Arbitrary Road Segment and Flexible Future Time.

Xuefeng Xie, Jie Zhao, Chao Chen, Lin Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021