Student

Yang Zhong

about
Yang Zhong
Claremont Graduate University

Biography

Yang Zhong, male, Han ethnicity, doctoral graduate student, member of the High Intelligent Spatial Computing Team.

Education

  • 2019.09-Present, Claremont Graduate University, Information Systems & Technology, PhD (pursuing)

  • 2016.09-2018.06, Claremont Graduate University, Information Systems & Technology, M.S.

  • 2003.09-2007.06, Beijing Jiaotong University，Software Engineering，Bachelor's degree

Research interests

  1. Space optimization
  2. Public facility location selection (billboards, shared bicycles, charging stations, etc.)

Publications

  1. Wang S, Liang H, Zhong Y, et al. DeepMCLP: Solving the MCLP with deep reinforcement learning for urban facility location analytics[J]. 2023.
  2. Shaohua Wang, Yang Zhong, Erqi Wang. An integrated GIS platform architecture for spatiotemporal big data. Future Generation Computer Systems 94, 160-172
  3. Shaohua Wang, Yang Zhong, et al. Geospatial big data analytics engine for spark. Proceedings of the 6th ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data
  4. Shaohua Wang, Ershun Zhong, Erqi Wang, Yang Zhong, et al. GISpark: A geospatial distributed computing platform for spatio-temporal big data. AGU Fall Meeting Abstracts 2016, IN13B-1663
  5. Yang Zhong, Shaohua Wang, et al. Design and Implementation of High-Performance GIS Dynamic Objects Rendering Engine. AGU Fall Meeting Abstracts 2017, IN23C-0101
  6. Zhang Xiaoyi, Yurong Chen, Yang Zhong. Spatial and Temporal Characteristic Analysis of Imbalance Usage in the Hangzhou Public Bicycle System. ISPRS International Journal of Geo-Information. 2021; 10(10):637. https://doi.org/10.3390/ijgi10100637
  7. Yang Zhong, Brian Hilton, Shaohua Wang. Optimal Billboard Location Selection using Social Media Context
  8. Yang Zhong, Shaohua Wang*, Haojian Liang. A Graph Convolution Network Approach Applied to the Maximal Coverage Billboards Location Problem
  9. Haojian Liang, Shaohua Wang, Huilai Li, Huichun Ye, Yang Zhong. A Trade-Off Algorithm for Solving p-Center Problems with a Graph Convolutional Network. ISPRS Int. J. Geo-Inf. 2022, 11, 270. https://doi.org/10.3390/ijgi11050270

Awards

[1] First-place award in the 2022 CPGIS Best Student Paper competition at the 29th International Conference on Geoinformatics.