LIANG Haojian
Professional Title：Assistant Professor
Email：lianghj@aircas.ac.cn
Engaged in research on geospatial intelligence, deep reinforcement learning, and emergency facility configuration optimization. Published over ten SCI papers in leading international journals, including JAG, TGRS, and IJDE. Serves as a reviewer for IJGIS, JGSA, and CUS, and as Guest Associate Editor for a special issue of RS. Principal Investigator of the National Natural Science Foundation of China (Youth Fund, Category C), and a key contributor to the National Key R&D Program and the General Program of the National Natural Science Foundation of China.
Education
Ph.D. in Mathematics, School of Artificial Intelligence, Jilin University, Jul. 2020 – Jun. 2024
M.Sc. in Fundamental Mathematics, School of Mathematics, Jilin University, Sep. 2017 – Jun. 2020
B.Sc. in Information and Computational Science, School of Mathematics, Jilin University, Sep. 2013 – Jul. 2017
Work Experience
Assistant Research Fellow, Aerospace Information Research Institute, Chinese Academy of Sciences, Jul. 2024 – Present
Geospatial Optimization
Deep Reinforcement Learning
Remote Sensing Big Data Analysis and Digital Earth Applications
[1] Liang, H., Wang, S.*, et al. AIAM: Adaptive interactive attention model for solving p-Median problem via deep reinforcement learning[J]. International Journal of Applied Earth Observation and Geoinformation, 2025, 138, 104454.
[2] Liang H, Wang S*, Li H, et al. Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis[J]. International Journal of Digital Earth, 2024, 17(1): 2299211.
[3] Liang H, Wang S*, Li H, et al. BiGNN: Bipartite graph neural network with attention mechanism for solving multiple traveling salesman problems in urban logistics[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 129: 103863.
[4] Liang H, Wang S*, et al. DeepHullNet: A Deep Learning Approach for Solving the Convex Hull and Concave Hull Problems with Transformer[J], International Journal of Digital Earth.
[5] Liang H, Wang S*, Li H, Ye H, Zhong Y. A Trade-Off Algorithm for Solving p-Center Problems with a Graph Convolutional Network[J]. ISPRS International Journal of Geo-Information, 2022, 11(5): 270. https://doi.org/10.3390/ijgi11050270
