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
Expertise related to UN Sustainable Devlopment Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Projects
- 3 Finished
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A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation
Lin, F. & Hsieh, H. P., 2021 Jul, In: ACM Transactions on Knowledge Discovery from Data. 16, 1, 3451393.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
A Multi-criteria System for Recommending Taxi Routes with an Advance Reservation
Fang, J. Y., Lin, F. & Hsieh, H. P., 2021, Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Proceedings. Dong, Y., Mladenic, D. & Saunders, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 308-322 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12460 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus) -
A Route-Affecting Region Based Approach for Feature Extraction in Transportation Route Planning
Lin, F., Hsieh, H. P. & Fang, J. Y., 2021, Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track - European Conference, ECML PKDD 2020, Proceedings. Dong, Y., Mladenic, D. & Saunders, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 275-290 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12460 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Citation (Scopus) -
Conntrans: A Two-Stage Concentric Annealing Approach for Multi-Criteria Distributed Competitive Stationary Resource Searching
Lin, F. & Hsieh, H. P., 2021 Nov 2, 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021. Meng, X., Wang, F., Lu, C-T., Huang, Y., Shekhar, S. & Xie, X. (eds.). Association for Computing Machinery, p. 163-174 12 p. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Dual-Attention Multi-Scale Graph Convolutional Networks for Highway Accident Delay Time Prediction
Wu, I. Y., Lin, F. & Hsieh, H. P., 2021 Nov 2, 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021. Meng, X., Wang, F., Lu, C-T., Huang, Y., Shekhar, S. & Xie, X. (eds.). Association for Computing Machinery, p. 554-563 10 p. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access