
Currently I'm an associate research fellow at the State Key Laboratory of Precision Blasting, Jianghan University, Wuhan. I got my PhD degree and Master's degree of Information Science at Nagoya University, Japan. After I graduated from Nagoya University on March 2019, I joined Wuhan University as a postdoc in the department of the School of Remote Sensing and Information Engineering. My research interests include intelligent blasting, blasting safety, spatial intelligence, intelligent transportation systems, smart cities, etc.
Email:jingzhao@jhun.edu.cn
Research Projects
National Natural Science Foundation of China, Blasthole Arrangement and Intelligent Drill Rig Path Planning for Bench Blasting in Open-Pit Mines under Complex Unstructured Environments, 2027.01-2029.12
Natural Science Foundation of China, Research on Geospatial Domain Computing Intensity Prediction and Load Balancing Based on Machine Learning, 2021.01-2024.12.
Natural Science Foundation of Hubei Province, China, Research on Real-Time Identification of Traffic Bottlenecks Based on Road Network Representation Learning, 2023.07-2025.06.
Wuhan Key R&D Program, Research on Key Technologies of Intelligent Design Software for Open pit Rock Blasting Based on Digital Twins, 2024.07-2026.07.
Knowledge Innovation Program of Wuhan-Shugung Project, Research on Congestion Propagation Analysis Method for Dynamic Traffic Bottleneck Identification, 2023.06-2025.06.
Independent research project of State Key Laboratory of Precision Blasting, Research on Risk Assessment and Route Planning of Explosive Transport Based on GIS, 2022.09-2024.08.
Open Foundation of Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Research on Real-Time Traffic Anomaly Detection Based on Highway Gantry Data, 2022.01-2023.12.
“Wuhan Talent”(Young Talent) Project, 2021.
Postdoctoral International Exchange Project, 2019.
Publications
Jing Zhao, Zhaohui Yao, Yanfang YANG, Xun Zhu, JinshanSUN. Real-time identification of critical congested links based on dynamic spatio-temporal graph learning. Journal of Highway and Transportation Research and Development. 2026, 43(5): 36-45.
Jing Zhao, Ning Liu, Junhui Li, Xi Guo, Hongtao Deng, Jinshan Sun. A GIS-Based Damage Evaluation Method for Explosives Road Transportation Accidents. ISPRS Int. J. Geo-Inf. 2023, 12, 470.
Jing Zhao, Peng Cheng, Qixiang Ge, Xun Zhu, Lei Chen, Xi Guo, Jinshan Sun, Yanfang Yang. Identifying Critical Congested Roads based on Traffic Flow-Aware Road Network Embedding. International Conference Advanced Data Mining and Applications 2023 (ADMA 2023).
Bo Wei, Xi Guo, Xiaodi Li, Ziyan Wu,Jing Zhao, Qiping Zou. Construct and Query A Fine-Grained Geospatial Knowledge Graph, Data Science and Engineering, 2024.
Hao Yu, Xi Guo, Xiao Luo, Ziyan Wu and Jing Zhao, RSTR: A Two-Layer Taxi Repositioning Strategy Using Multi-Agent Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(3):3619-3628.
Jing Zhao, Yoshiharu Ishikawa, Lei Chen, Chuan Xiao, Kento Sugiura. Building Hierarchical Spatial Histograms for Exploratory Analysis in Array DBMS. IEICE TRANSACTIONS on Information and Systems, 2019, E102-D(4): 788-799.
Jing Zhao, Peng Yue. Spatiotemporal Data Cube Modeling for Integrated Analysis of Multi-Source Sensing Data. 39th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), Yokohama, Japan.
Jing Zhao, Yoshiharu Ishikawa, Chuan Xiao, Kento Sugiura. Histogram Construction for Difference Analysis of Spatio-Temporal Data on Array DBMS. Australasian Database Conference 2018 (ADC 2018), Gold Coast, Australia.
Leilei Du, Peng Cheng, Lei Chen, Jing Zhao, Xuemin Lin. Stable Task Assignment with Range Partition under Differential Privacy. The 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024).
Zheren Yan, Can Yang, Lei Hu, Jing Zhao, Liangcun Jiang, Jianya Gong. The Integration of Linguistic and Geospatial Features Using Global Context Embedding for Automated Text Geocoding. ISPRS International Journal of Geo-Information. 10(9):572. 2021.

