EE Building 5F R92511
Professor Hsun-Ping Hsieh
Address
Email![](/upload/people/php_generated_email_teacher/161.png)
![](/upload/people/php_generated_email_teacher/161.png)
TEL
+886-6-2757575 ext.62322
Lab Weblink
Urban Science and Computing Lab
(R96209/ext.62400-3709)
Background
Educations
2015
Ph.D., Graduate Institute of Networking and Multimedia, National Taiwan University
2009
M.S., Department of Information Management, National Taiwan University
2007
B.S., Department of Information Management, National Central University(Minor in Computer Science & Information Engineering)
Experiences
2022/8-Current
Professor, Department of Electrical Engineering, National Cheng Kung University, R. O. C.
2023/8-Current
Director of Electrical Laboratories, National Cheng Kung University
2024/1-Current
Director of IEEE Tainan Section
2022/1-2023/12
CFO of IEEE Tainan Section
2019/8-2022/7
Associate Professor, Department of Electrical Engineering, National Cheng Kung University, R. O. C.
2016/8-2019/7
Assistant Professor, Department of Electrical Engineering, National Cheng Kung University, R. O. C.
2018/7-2018/8
Visiting Scholar, Swansea University, UK
2015/8-2016/7
Mandatory Military Service, Air Force Institute of Technology
2015/7-2015/8
Visiting Scholar, Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology (KAIST), Korea
2013/1-2013/9
Research Intern, Microsoft Research Asia, Beijing, China
Specialities
- Big Data Mining and Analytics
- Urban Science and Computing
- Smart City and Internet of Things Applications
- Spatial-Temporal Information Computing
- Social Network Analysis
- Sensor Network Computing
- Machine Learning
- Fintech
Publication
Journal
more
less
- Hsun-Ping Hsieh*, Bao-Hong Lai, Yu-En Chang, Yu-Wen Chen. Multi-Performance Estimation for Deploying Bank Branches Based on a Multi-task Attentive Tree-enhanced Model. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023
- Pei-Xuan Li, Hsun-Ping Hsieh*, Yang Fan Chiang, Ding-You Wu, Ching-Chung Ko. " Enhancing Robust Liver Cancer Diagnosis: A Contrastive Multi-Modality Learner with Lightweight Fusion and Effective Data Augmentation." ACM Transactions on Computing for Healthcare.
- Fandel Lin, Hsun-Ping Hsieh*. (2023) "Exploiting Network Structure in Multi-Criteria Distributed and Competitive Stationary-Resource Searching." ACM Transactions on Spatial Algorithms and Systems (TSAS), Volume 9, Issue 4, Article No.: 26, pp 1–33, 2023.
Conference
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- Fandel Lin, Hsun-Ping Hsieh*. " A Hierarchy-Aware Approach to Cross-Region Spatial-Temporal Inference of Unarchived Event in Urban Mobility Infrastructure." The International Conference on Database Systems for Advanced Applications (DASFAA’24), 2024
- Yang Fan Chiang, Pei-Xuan Li, Ding-You Wu, Hsun-Ping Hsieh*, Ching-Chung Ko. " Exploring Feature Fusion from A Contrastive Multi-Modality Learner for Liver Cancer Diagnosis." ACM Multimedia Asia, 2023.
- Yin-Wei Chiu, Hsiao-Ching Huang, Cheng-Ju Lee, Hsun-Ping Hsieh*. "PEPO: Petition Executing Processing Optimizer Based on Natural Language Processing", ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR'23), 2023
Patent
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- 分行據點的選址裝置, 中華民國專利第M626891號
- 分行據點的選址方法和選址裝置, 中華民國專利第I791349號
Others
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- Program Committee, AAAI Conference on Artificial Intelligence 2018-2024.
- Program Committee, The ACM International Conference on Web Search and Data Mining (WSDM) 2018-2021.
- Publication Chair, Conference on Technologies and Applications of Artificial Intelligence 2017.
Projects
- PI - An Intelligent and Interactive and Transportation Deploying Assistant for Constructing New Routes and Stations, MOST Young Scholar Fellowship(Einstein Program), 2019/11 - 2023/10
- PI - Winbond: Machine learning for inline-WAT-CP-FT-EQC-RMA correlation(113/1-114/12), 2024/1-2025/12
- PI -An Inference-then-Planning-then-Forecasting Framework for Urban Transpotation Routes Base on Graph Dual-Perspective Attention Networks and Rectified Dynamic Purging Graph Neural Networks, 2023/8 - 2026/7
- PI - Deep Exogenous Aid in the Fake News Influence Predictor with Explainability in Social Media, 2023/8 - 2024/7
- PI - Winbond EQC Failure root tracing, 2022/11-2023/10
- PI-Digital Governance for Tainan City 1 111/07/01-111/09/30
- PI-Digital Governance for Tainan City 2 111/10/01-111/12/31
- PI - Deploying New Branches Using Multi-performance Prediction for Bank SinoPac, 2021/1 - 2021/12
- PI - New Branch Location Recommendation for Bank SinoPac, 2020/1 - 2020/6
- PI - Filling Missing Values of Smart Meters Based on Big Data Analytics and Machine Learning Methodologies, Ministry of Science and Technology (MOST), 2018/8 - 2019/7
- PI - An Innovative Location-based Recommender System for Urban Construction, Ministry of Science and Technology (MOST), 2019/8 - 2020/7
- PI- Maximizing the Influence Visibility for Social-free Viral Marketing, Ministry of Science and Technology (MOST), 2018/8-2019/7
- Co-PI Differentiate pT1 Hepatocellular Carcinoma (HCC) from pT2 on Gadoxetic acid-enhanced MRI with artificial intelligence algorithm, Chi Mei Medical Center, 2018/9-2019/7
- PI - A Machine Hunter for Spotting Hazardous Air Polluted Locations from Urban Big, Data, Ministry of Science and Technology (MOST), 2017/3 - 2018/2
- PI - Inferring Online Social Relationships from Offline Geographical Footprints, Ministry of Science and Technology (MOST), 2017/8 - 2018/7
- Project Executor – Popularity Prediction of Locations for Geographical Placement of Retail Stores, Ministry of Science and Technology, 2015.08 – 2016.08
- Project Executor – Urban Air, Microsoft Research, 2014.6 – 2015.6.
- Resaerch Intern – Microsoft City Next, Microsoft Research, 2013.1 – 2013.9
- Project Executor – Merchandise, Multimedia and Travel Recommender System, Institute for Information Industry, 2013.1 – 2013.12
Classes
2024 Spring
2025 Spring
2021 Spring
2020 fall
2019 spring
2018 fall
2017 spring
2016 fall
2016 spring
Students
Current Academic Year Lab Members
Graduates of all Previous Years
Honors