Haojian Liang

17 papers Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
AIAM: Adaptive interactive attention model for solving p-Median problem via deep reinforcement learning.
Int. J. Appl. Earth Obs. Geoinformation
Haojian Liang, Shaohua Wang, Huilai Li, Jie Pan, Xiao Li, Cheng Su, Bingzhi Liu
2025 J jnl
Heterogeneity Analysis of Resident Demands and Public Service Facilities in Megacities of China from the Perspective of Urban Health Examination.
ISPRS Int. J. Geo Inf.
Ning Zhang, Shaohua Wang, Haojian Liang, Zhuonan Huang, Xiao Li, Zhenbo Wang
2025 J jnl
Less Is More: A Lightweight Deep Learning Network for Remote Sensing Imagery Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Jianwei Yue, Yan Wang, Jie Pan, Haojian Liang, Shaohua Wang, Quanyi Liu
2025 J jnl
Multi-Size Facility Allocation Under Competition: A Model with Competitive Decay and Reinforcement Learning-Enhanced Genetic Algorithm.
ISPRS Int. J. Geo Inf.
Zixuan Zhao, Shaohua Wang, Cheng Su, Haojian Liang
2025 — conf
Spatial Optimization of Fire Stations in Beijing Based on Multi-factor Fire Risk Analysis and Covering Problem Model.
SpatialDI
Chang Liu, Shaohua Wang, Cheng Su, Xiao Li, Yang Zhong, Junyuan Zhou, Dachuan Xu, Haojian Liang, Jiayi Zheng
2024 J jnl
BiGNN: Bipartite graph neural network with attention mechanism for solving multiple traveling salesman problems in urban logistics.
Int. J. Appl. Earth Obs. Geoinformation
Haojian Liang, Shaohua Wang, Huilai Li, Liang Zhou, Xueyan Zhang, Shaowen Wang
2024 J jnl
Deephullnet: a deep learning approach for solving the convex hull and concave hull problems with transformer.
Int. J. Digit. Earth
Haojian Liang, Shaohua Wang, Song Gao, Huilai Li, Cheng Su, Hao Lu, Xueyan Zhang, Xi Chen, Yinan Chen
2024 — conf
Geospatial Optimization Analytics for Bubble Tea Shops Location Service.
GeoIndstry@SIGSPATIAL
Jiayi Zheng, Shaohua Wang, Haojian Liang, Chunxiang Cao, Junyuan Zhou, Xiao Li, Min Xu, Xinwei Yang, Jiahui Ji
2024 J jnl
Optimization of Shared Electric Scooter Deployment Stations Based on Distance Tolerance.
ISPRS Int. J. Geo Inf.
Jianwei Yue, Yingqiu Long, Shaohua Wang, Haojian Liang
2024 J jnl
ReCovNet: Reinforcement learning with covering information for solving maximal coverage billboards location problem.
Int. J. Appl. Earth Obs. Geoinformation
Yang Zhong, Shaohua Wang, Haojian Liang, Zhenbo Wang, Xueyan Zhang, Xi Chen, Cheng Su
2024 J jnl
Sponet: solve spatial optimization problem using deep reinforcement learning for urban spatial decision analysis.
Int. J. Digit. Earth
Haojian Liang, Shaohua Wang, Huilai Li, Liang Zhou, Hechang Chen, Xueyan Zhang, Xu Chen
2023 — conf
A New Approach for Solving Location Routing Problems with Deep Reinforcement Learning of Emergency Medical Facility.
EM-GIS
Shaohua Wang, Junyuan Zhou, Haojian Liang, Zhenbo Wang, Cheng Su, Xiao Li
2023 J jnl
An attention model with multiple decoders for solving p-Center problems.
Int. J. Appl. Earth Obs. Geoinformation
Xu Chen, Shaohua Wang, Huilai Li, Haojian Liang, Ziqiong Li, Hao Lu
2023 — conf
Optimization of shared bicycle location in Wuhan city based on multi-source geospatial big data.
GeoIndstry@SIGSPATIAL
Shaohua Wang, Runqiao Wang, Cheng Su, Liang Zhou, Wenda Wang, Haojian Liang
2023 — conf
Spatial Optimization Site Selection of Beijing Cainiao Station Based on Multi-Source Geospatial Data.
GeoSocial@SIGSPATIAL
Shaohua Wang, Zezhi Zhang, Cheng Su, Liang Zhou, Haojian Liang, Wenda Wang
2022 J jnl
A Trade-Off Algorithm for Solving p-Center Problems with a Graph Convolutional Network.
ISPRS Int. J. Geo Inf.
Haojian Liang, Shaohua Wang, Huilai Li, Huichun Ye, Yang Zhong
2022 J jnl
Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks.
ISPRS Int. J. Geo Inf.
Xu Chen, Shaohua Wang, Huilai Li, Fangzheng Lyu, Haojian Liang, Xueyan Zhang, Yang Zhong