• 620 Citations
  • 8 h-Index
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Personal profile


  • 2015 PhD, Graduate Institute of Networking and Multimedia, National Taiwan University

Research Interests

  • Big Data Mining and Analytics
  • Machine Learning
  • Sensor Network Computing
  • Smart City and Internet of Things Applications
  • Social Network Analysis
  • Spatial-Temporal Information Computing
  • Urban Science and Computing


  • 2013/1~2013/9 Research Intern, Microsoft Research Asia, Beijing, China
  • 2015/7~2015/8 Visiting Scholar, Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology (KAIST), Korea
  • 2015/8~2016/7 Mandatory Military Service, Air Force Institute of Technology
  • 2016/8~present Assistant Professor, Department of Electrical Engineering, National Cheng Kung University

Fingerprint Dive into the research topics where Hsun-Ping Hsieh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Location based services Engineering & Materials Science
Planning Engineering & Materials Science
Labels Engineering & Materials Science
Recommender systems Engineering & Materials Science
Retail stores Engineering & Materials Science
Experiments Engineering & Materials Science
Sensors Engineering & Materials Science
Air quality Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2017 2018


Hsieh, H.


Project: Research project

Research Output 2010 2019

  • 620 Citations
  • 8 h-Index
  • 31 Conference contribution
  • 5 Article
  • 1 Paper
1 Citation (Scopus)
Social Networks
Feature Modeling
Mobile devices
Energy conservation

Temporal popularity prediction of locations for geographical placement of retail stores

Hsieh, H-P., Lin, F., Li, C-T., Yen, I. E. H. & Chen, H. Y., 2019 Jul 1, In : Knowledge and Information Systems. 60, 1, p. 247-273 27 p.

Research output: Contribution to journalArticle

Retail stores
Supervised learning

An intelligent and interactive route planning maker for deploying new transportation services

Lin, F. & Hsieh, H-P., 2018 Nov 6, 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2018. Xiong, L., Tamassia, R., Banaei, K. F., Guting, R. H. & Hoel, E. (eds.). Association for Computing Machinery, p. 620-621 2 p. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Route Planning
planning system
Transportation routes
Population Structure
1 Citation (Scopus)

On route planning by inferring visiting time, modeling user preferences, and mining representative trip patterns

Li, C-T., Chen, H. Y., Chen, R. H. & Hsieh, H-P., 2018 Sep 1, In : Knowledge and Information Systems. 56, 3, p. 581-611 31 p.

Research output: Contribution to journalArticle

Location based services
3 Citations (Scopus)

Socialized language model smoothing via bi-directional influence propagation on social networks

Yan, R., Li, C-T., Hsieh, H-P., Hu, P., Hu, X. & He, T., 2016 Jan 1, 25th International World Wide Web Conference, WWW 2016. International World Wide Web Conferences Steering Committee, p. 1395-1405 11 p. (25th International World Wide Web Conference, WWW 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning algorithms


A Data-Driven Approach for Deploying New Urban Branches - A Case Study on Police Stations

Author: 俊毅, 吳., 2018 Aug 29

Supervisor: Hsieh, H. (Supervisor)

Student thesis: Master's Thesis