Jing Zhao

According to our database, Jing Zhao authored at least 11 papers between 2018 and 2025.

Collaborative distances:

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

2025

A Just-In-Time Framework for Routing-Oriented Traffic Prediction.

Jing Zhao, Lei Li, Mengxuan Zhang, Haolun Ma, Xiaofang Zhou

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction.

Jing Zhao, Jiajie Xu, Yuan Xu, Junhua Fang, Pingfu Chao, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., September, 2024

A Just-In-Time Framework for Continuous Routing.

Jing Zhao, Lei Li, Mengxuan Zhang, Zihan Luo, Xi Zhao, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Seeing the Forest for the Trees: Road-Level Insights Assisted Lane-Level Traffic Prediction.

Shuhao Li, Yue Cui, Jingyi Xu, Jing Zhao, Fan Zhang, Weidong Yang, Xiaofang Zhou

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework.

Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases.

Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou

Proc. VLDB Endow., 2022

MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction.

Yuan Xu, Jiajie Xu, Jing Zhao, Kai Zheng, An Liu, Lei Zhao, Xiaofang Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Predicting Destinations by a Deep Learning based Approach.

Jiajie Xu, Jing Zhao, Rui Zhou, Chengfei Liu, Pengpeng Zhao, Lei Zhao

IEEE Trans. Knowl. Data Eng., 2021

Variational Self-attention Network for Sequential Recommendation.

Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Hierarchical Variational Attention for Sequential Recommendation.

Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao

Proceedings of the Database Systems for Advanced Applications, 2020

2018

On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach.

Jing Zhao, Jiajie Xu, Rui Zhou, Pengpeng Zhao, Chengfei Liu, Feng Zhu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018