Projects per year
Personal profile
Education
- 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
Experience
- 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.
- 5 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.
Research Output 2010 2019
1
Citation
(Scopus)
Inferring online social ties from offline geographical activities
Hsieh, H-P. & Li, C-T., 2019 Jan 1, In : ACM Transactions on Intelligent Systems and Technology. 10, 2, a17.Research output: Contribution to journal › Article
Tie
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 journal › Article
Retail stores
Supervised learning
Profitability
Interpolation
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.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Route Planning
planning system
Planning
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 journal › Article
Planning
Location based services
Experiments
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 proceeding › Conference contribution
Websites
Learning algorithms
Experiments
Thesis
A Data-Driven Approach for Deploying New Urban Branches - A Case Study on Police Stations
Author: 俊毅, 吳., 2018 Aug 29Supervisor: Hsieh, H. (Supervisor)
Student thesis: Master's Thesis