NCKUEE Faculty Data
Chinese Version
Professor Hsun-Ping Hsieh
Address
EE Building 5F R92511
Email
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, Taiwan (R. O. C)
2022/8-Current
Jointly Appointed Professor, Academy of Innovative Semiconductor and Sustainable Manufacturing,
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
2016/8-2019/7
Assistant Professor, Department of Electrical Engineering, National Cheng Kung University
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
  1. Pei-Xuan Li, Yu-En Chang, Ming-Chun Wei, Hsun-Ping Hsieh*. " Estimating Future Financial Development of Urban Areas for Deploying Bank Branches: A Local-Regional Interpretable Model." ACM Transactions on Management Information Systems (TMIS), 2024. (Top Transactions Journal of Information Management)
  2. 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, 2024. (Top Transactions Journal of Healthcare)
  3. 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
  4. 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.
  5. 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.
  6. Pei-Xuan Li, Yu-Yun Huang, Chris Shei, Hsun-Ping Hsieh*. (2023) " ExoFIA: Deep Exogenous Assistance in the Fake News Influence Predictor with Social Media Explanability." Applied Sciences, 2023.
  7. Shih-Han Chen, Sok-Ian Sou*, Hsun-Ping Hsieh. (2023) " Top-N Music Recommendation Framework for Precision and Novelty under Diversity Group Size and Similarity." Journal of Intelligent Information Systems, 2023.
  8. Fandel Lin, Hsun-Ping Hsieh*. (2022) " Exploiting Network Structure in Multi-Criteria Distributed and Competitive Stationary-Resource Searching." ACM Transactions on Spatial Algorithms and Systems (TSAS). (Top Transactions Journal of Spatial computing)
  9. Fandel Lin, Hsun-Ping Hsieh*. (2021) "A Joint Passenger Flow Inference and Path Recommender System for Deploying New Routes and Stations of Mass Transit Transportation." ACM Transactions on Knowledge Discovery from Data (TKDD), 2021. (Top Transactions Journal of Data Science)
  10. Fandel Lin, Hsun-Ping Hsieh*. (2022) " A Grid-Based Two-Stage Parallel Matching Framework for Bi-Objective Euclidean Traveling Salesman Problem." ACM Transactions on Spatial Algorithms and Systems (TSAS), Volume 8 Issue 4, 2022. (Top Transactions Journal of Spatial computing)
  11. Fandel Lin, Hsun-Ping Hsieh*. "Traveling Transporter Problem: Arranging New Circular Route in Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data." ACM Transactions on Intelligent Systems and Technology (TIST), 2022.
  12. Hsun-Ping Hsieh, Ding-You Wu, Kuo-Chuan Hung, Sher-Wei Lim, Sher-Wei Lim, Yang Fan-Chiang, Ching-Chung Ko*. "Machine Learning for Prediction of Recurrence in Parasagittal and Parafalcine Meningiomas: Combined Clinical and MRI Texture Features." Journal of Personalized Medicine, 2022.
  13. Hsun-Ping Hsieh*, Fandel Lin. "A Decision Framework to Recommend Cruising Locations for Taxi Drivers under the Constraint of Booking Information." ACM Transactions on Management Information Systems (TMIS), 2022.
  14. Yan-Jen Chen, Hsun-Ping Hsieh, Kuo-Chuan Hung, Yun-Ju Shih, Sher-Wei Lim, Yu-Ting Kuo, Jeon-Hor Chen, Ching-Chung Ko. "Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features." Frontiers in Oncology, 2022.
  15. Hsun-Ping Hsieh*, Su Wu, Ching-Chung Ko, Chris Shei, Zheng-Ting Yao, Yu-Wen Chen. (2022) " Forecasting Fine-Grained Air Quality for Locations without Monitoring Stations Based on a Hybrid Predictor with Spatial-Temporal Attention Based Network." Applied Sciences, 2022.
  16. Chen-Lin Wu, Hsun-Ping Hsieh, Jiawei Jiang, Yi-Chieh Yang, Chris Shei, Yu-Wen Chen. "MUFFLE: Multi-modal Fake News Influence Estimator on Twitter." Applied Sciences, 2022.
  17. Hsun-Ping Hsieh*, Fandel Lin, Jiawei Jiang, Tzu-Ying Kuo, Yu-En Chang. (2021) "Inferring Long-Term Demand of Newly Established Stations for Expansion Areas in Bike Sharing System." Applied Sciences, 2021.
  18. Hsun-Ping Hsieh*, Jiawei Jiang, Tzu-Hsin Yang, Renfen Hi. (2021) " Predicting the Success of Mediation Requests Using Case Properties and Textual Information for Reducing the Burden on the Court." ACM Digital Government: Research and Practice, 2021.
  19. Fandel Lin, Hsun-Ping Hsieh. "Multi-Criteria Route Planning for In-Operation Mass Transit under Urban Data." Applied Sciences, 2022.
  20. Hsun-Ping Hsieh, Fandel Lin, Cheng-Te Li, Ian En-Hsu Yen, Hsin-Yu Chen. "Temporal Popularity Prediction of Locations for Geographical Placement of Retail Stores." Journal of Knowledge and Information Systems(KAIS), 2019.(SCI, IF=2.004)
  21. Cheng-Te Li, Hsin-Yu Chen, Ren-Hao Chen, Hsun-Ping Hsieh. On Route Planning by Inferring Visiting Time, Modeling User Preferences, and Mining Representative Trip Patterns. Knowledge and Information Systems(KAIS), 2017. (SCI, IF=2.004)
  22. Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin. Measuring and Recommending Time-Sensitive Routes from Location-based Data. ACM Transactions on Intelligent Systems and Technology (TIST), 2014. (SCI, 5-year impact factor = 10.47)
  23. Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin. Opinion Diffusion and Analysis on Social Networks. Encyclopedia of Social Network Analysis and Mining (ESNAM), 2013.
  24. Chris Shei, Hsun-Ping Hsieh. Linkit: a CALL system for learning Chinese characters, words, and phrases. Computer Assisted Language Learning (CALL), 2012.
  25. Hsiang-Fu Yu, Hung-Yi Lo, Hsun-Ping Hsieh, et al. Feature Engineering and Classifier Ensemble for KDD Cup 2010. Journal of Machine Learning Research (JMLR), 2011.
Conference
more
less
  1. 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
  2. Teng-Yuan Tsou, Shih-Yu Lai, Jung-Tsang Yeh, Hsuan-Ching Chen, Pei-Xuan Li, Tzu-Chang Lee and Hsun-Ping Hsieh*." ACCEPT: A Context-Sensitive, Configurable, and Extensible Prediction Tool using Grid-based Data Processing and Neural Networks in Geospatial Decision Support." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'24) 2024
  3. Shih-Yu Lai, Tzu-Hsin Hsieh, Sing-Kai Ling, Pei-Chi Tsai, Chao-Chun Kung and Hsun-Ping Hsieh*." GreenSpot: Improving Public Transport with GIS-Based AR and Cluster-GCN Recommendation." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'24) 2024
  4. Teng-Yuan Tsou, Shih-Yu Lai, Jung-Tsang Yeh, Hsuan-Ching Chen, Pei-Xuan Li, Tzu-Chang Lee and Hsun-Ping Hsieh*." LINKin-PARK: Land Valuation Information and Knowledge in Predictive Analysis and Reporting Kit via Dual Attention-DCCNN." ACM International Conference on Information and Knowledge Management (CIKM'24) 2024.
  5. Hung Wei Lee, Hsun-Ping Hsieh, Pei-Xuan Li,Chih Ching Tsao, Ally Chang, Po-Jui Lai, Zheng Lu. " Dengue Risk Detection and Observation System." IEEE International Conference on Knowledge Innovation and Invention, 2024(Best paper award).
  6. 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.
  7. 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
  8. Yang Fan Chiang, Chun-Wei Shen, Jhe-Wei Tsai, Pei-Xuan Li, Tzu-Chang Lee and Hsun-Ping Hsieh*. "ParkFlow: Intelligent Dispersal for Mitigating Parking Shortages Using Multi-Granular Spatial-Temporal Analysis", ACM International Conference on Information and Knowledge Management(CIKM'23) , 2023
  9. Hsun-Ping Hsieh*, Tzu-Chang Lee, Shih-Yu Lai, Pei-Chi Tsai, Tzu-Hsin Hsieh."Enhancing Urban Crowd Management through Predictive Modeling System with Diverse Geospatial Datasets." Australasian Conference on Information Systems, 2023.
  10. Pei-Xuan Li, Hsun-Ping Hsieh*. "Forecasting Dengue Fever Risk in Regions without Sensors Using Multi-View Graph Fusion Recurrent Neural Network", ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'23), 2023. (top conference)
  11. Zi-Yi Lu, Hsun-Ping Hsieh*." Survival Factors Analysis of Out-of-Hospital Cardiac Arrest Patients via Effective Data Cleaning Techniques and Explainable Machine Learning." The 28th International Conference on Technologies and Applications of Artificial Intelligence, 2023.
  12. Hsin-Wei Li, Hsun-Ping Hsieh, Sok-Ian Sou. "Transient Group Recommendation for Shared Environment using Check-in and Tag Data." IEEE International Conference on Knowledge Innovation and Invention, 2023
  13. Bao-Hong Lai, Hsun-Ping Hsieh*. "Object Detection on Embedded Systems for Traffic in Asian Countries." ACM International Conference on Multimedia Retrieval (ICMR' 21), 2021.
  14. I-Ying Wu, Fandel Lin, Hsun-Ping Hsieh*." Highway Accident Delay Time Prediction Using Deep Learning." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL'21), 2021. (top conference, acceptance rate = 22%)
  15. Fandel Lin, Hsun-Ping Hsieh*. "Conntrans: A Two-Stage Concentric Annealing Approach for Multi-Criteria Distributed Competitive Stationary Resource Searching." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(SIGSPATIAL'21), 2021. (top conference, acceptance rate = 22%)
  16. Hsun-Ping Hsieh*, Fandel Lin. "AI Governance: Advanced Urban Computing on Informatics Forecasting and Route Planning." The 26th International Conference on Database Systems for Advanced Applications(DSAFAA'21), 2021. (tutorial paper)
  17. JiaWei Jiang, Yu-Chen Chen, Hsun-Ping Hsieh*. "Detection of Illegal Parking Events Using Spatial-Temporal Features." ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(SIGSPATIAL'20), 2020. (short paper)
  18. Hsin-Wei Li, Sok-Ian Sou and Hsun-Ping Hsieh. "Room-based Playlist Arrangement System using Group Recommendation", International Computer Symposium (ICS), Tainan, Taiwan, Dec., 2020.
  19. Yi-Chen Wang, Pei-Lin Yang, Sok-Ian Sou* and Hsun-Ping Hsieh. "The MuTube Dataset for Music Listening History Retrieval and Recommendation System", International Computer Symposium (ICS), Tainan, Taiwan, Dec., 2020.
  20. Shih-Han Chen, Sok-Ian Sou and Hsun-Ping Hsieh. "HPCF: Hybrid Music Group Recommendation System based on Item Popularity and Collaborative Filtering", International Computer Symposium (ICS), Tainan, Taiwan, Dec., 2020.
  21. Jie-Yu Fang, Fandel Lin, Hsun-Ping Hsieh. " A Multi-Criteria System for Recommending Taxi Routes with an Advance Reservation." The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2020), 2020. (top conference, acceptance rate = 19%)
  22. Fandel Lin, Hsun-Ping Hsieh, Jie-Yu Fang. " A Route-Affecting Region Based Approach for Feature Extraction in Transportation Route Planning." The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2020), 2020. (top conference, acceptance rate = 19%)
  23. Fandel Lin, Hsun-Ping Hsieh. " A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System." The 20th IEEE International Conference on Data Mining (ICDM 2020), 2020. (top conference, acceptance rate = 19%)
  24. Fandel Lin, Shiuan-Tyng Lin, Jie-Yu Fang, Hsun-Ping Hsieh. " Traffic Light Control with Real-Time Vehicle License Plate Recognition." ACM The Web Conference (WWW'2020), 2020. (top conference poster paper)
  25. Fandel Lin, Hsun-Ping Hsieh. "A Convolutional Approach for Estimating Popularity of New Branch Stores." ACM The Web Conference (WWW'2020), 2020. (top conference poster paper)
  26. Fandel Lin, Hsun-Ping Hsieh. "Customizing Your Own Route with QQIP. A Quantitative and Qualitative Itinerary Planner for New Transportation Routes." ACM The Web Conference (WWW'2020), 2020. (top conference demo paper, acceptance rate ≈ 17%)
  27. Hsun-Ping Hsieh, Fandel Lin. "An intelligent and interactive route planning maker for deploying new transportation services." The 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems(SIGSPATIAL'18)
  28. Po-Hao Chen, Ren-Hao Chen, Li-Yuan Wang, Hsun-Ping Hsieh. Filling Missing Values of Smart Meters Based on A Joint Collaborative Filtering and Support Vector Regression Framework. The 11th IEEE International Conference on Ubi-Media Computing, 2018. (Ubi-Media' 18)
  29. Ren-Hao Chen, Hsun-Ping Hsieh Min Tan.A Graph-based Analytic Approach to Model the Correlations between Air Quality and City Dynamics. The 11th IEEE International Conference on Ubi-Media Computing, 2018. (Ubi-Media' 18)
  30. Hsun-Ping Hsieh, Cheng-Te Li. Will I Win Your Favor? Predicting the Success of Altruistic Requests. The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, 2016. (accepting rate = 13%)
  31. Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, Tingting He. Inferring Bi-directional Influence Probabilities for Socialized Language Model Smoothing in Social Media. ACM International Conference on World Wide Web (WWW'16), Montreal, Canada, 2016. (accepting rate = 16%)
  32. Hsun-Ping Hsieh, Shou-De Lin, Yu Zheng. Inferring Air Quality for Station Location Recommendation Based on Urban Big Data. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15). Sydney, Australian, 2015. (accepting rate = 19%)
  33. Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li. Where You Go Reveals Who You Know: Analyzing Social Ties from Millions of Footprints. ACM International Conference on Knowledge and Information Management (CIKM'15), Melbourne, Australia, 2015. (accepting rate = 25%)
  34. Hsun-Ping Hsieh, Cheng-Te Li. Dissecting Urban Noises from Heterogeneous Geo-Social Media and Sensor Data. ACM International Conference on Multimedia (MM'15), Brisbane, Australia, 2015. (accepting rate = 29%)
  35. Hsun-Ping Hsieh, Cheng-Te Li, Rui Yan. I See You: Person-of-Interest Search in Social Networks. ACM International Conference on Research and Development in Information Retrieval (SIGIR'15). Santiago, Chile, 2015. (accepting rate = 29%)
  36. Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin. Estimating Potential Customers Anywhere and Anytime on Location-based Social Networks. The 30th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'15). Porto, Portugal, 2015. (accepting rate = 23%)
  37. Hsun-Ping Hsieh, Cheng-Te Li, Xiaoqing Gao. T-gram: a Time-aware Language Model to Predict Human Mobility. AAAI International Conference on Web and Social Media (ICWSM'15), Oxford, UK, 2015. (accepting rate = 30%)
  38. Tzu-Chi Yen, Tzu-Yun Lin, Ching-Yuan Yeh, Hsun-Ping Hsieh, Cheng-Te Li. An Interactive Visualization System to Analyze and Predict Urban Construction Dynamics. ACM SIGKDD International Workshop on Urban Computing (UrbComp'15), in conjunction with KDD 2015, Sydney, Australia, 2015.
  39. Hsun-Ping Hsieh, Cheng-Te Li. Mining and Planning Time-aware Routes Using Location Check-in Data. ACM International Conference on Knowledge and Information Management (CIKM'14), Shanghai, China, 2014. (accepting rate = 21%)
  40. Hsun-Ping Hsieh, Cheng-Te Li. Mining Time-aware Transit Patterns for Route Recommendation in Big Check-in Data. International Workshop on Pattern Mining and Application of Big Data (BigPMA). (in conjunction with PAKDD 2014), Tainan, Taiwan, 2014. (accepting rate = 20%)
  41. Hsun-Ping Hsieh, Shou-De Lin. On Air Quality Inference with Big Urban Data. Asia-Oceania Top University League on Engineering(AOTULE) Conference, 2014.
  42. Yu Zheng, Furui Liu, Hsun-Ping Hsieh. U-Air: When Urban Air Quality Inference Meets Big Data. ACM SIGKDD conference on Knowledge Discovery and Data Mining(KDD'13). Chicago, USA, 2013. (acceptance rate=17%) Microsoft Online Service: http://www.uairquality.com/
  43. Hsun-Ping Hsieh, Cheng-Te Li. Constructing Routes with User Preference from Location Check-in Data. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013). Zurich, Switzerland, 2013.
  44. Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin. Frequent temporal social behavior search in information networks. ACM International World Wide Web Conference (WWW'12), Lyon, France, 2012. (poster paper, accepting rate = 28%)
  45. Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin. TripRec: recommending trip routes from large scale check-in data. ACM International World Wide Web Conference (WWW'12), Lyon, France, 2012. (poster paper, accepting rate = 16%)
  46. Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin. Exploiting Large-Scale Check-in Data to Recommend Time-Sensitive Routes. ACM SIGKDD International Workshop on Urban Computing (UrbComp'12). Beijing, China, 2012. (acceptance rate=20%)
  47. Hsun-Ping Hsieh, Cheng-Te Li. Composing Traveling Paths from Location-Based Services. AAAI International Conference on Weblogs and Social Media (ICWSM'12), Dublin, Ireland, 2012.
  48. Hsun-Ping Hsieh, Cheng-Te Li, Shou-De Lin. BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. IEEE International Conference on Data Mining (ICDM'11). Vancouver, Canada, 2011. (accepting rate = 21%)
  49. Cheng-Te Li, Hsun-Ping Hsieh, Shou-De Lin. PhotoFeel: Feeling Your Photo Collection by Graph-based Audiovisual Flocking. ACM International Conference on Multimedia (MM'11). Scottsdale, Arizona, USA, 2011. (acceptance rate=30%)
  50. Hsun-Ping Hsieh, Cheng-Te Li. Mining Temporal Subgraph Patterns in Heterogeneous Information Networks. IEEE International Conference on Social Computing (SocialCom'10), Minneapolis, Minnesota, USA, 2010. (acceptance rate=28%)
  51. Cheng-Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Shou-De Lin. SocioCrowd: A Social-Network-Based Framework for Crowd Simulation. ACM International Conference on Computer Graphics and Interactive Techniques (SIGGRAPH'10), Los Angeles, USA, 2010.
Patent
more
less
  1. 分行據點的選址裝置, 中華民國專利第M626891號
  2. 分行據點的選址方法和選址裝置, 中華民國專利第I791349號
Others
more
less
  1. Vice Program Chair, ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2024
  2. Web Chair, 22st Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2025)
  3. Senior Program Committee, The ACM International Conference on Web Search and Data Mining (WSDM) 2025.
  4. Program Committee, AAAI Conference on Artificial Intelligence 2018-2024.
  5. Program Committee, The ACM International Conference on Web Search and Data Mining (WSDM) 2018-2021.
  6. Publication Chair, Conference on Technologies and Applications of Artificial Intelligence 2017.
  7. Program Committee, ACM’s Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2015-2025.
  8. Program Committee, ACM CIKM International Conference on Information and Knowledge Management 2017-2021.
  9. Program Committee, ACM the Web Confernece 2019-2022.
  10. Program Committee, The International ACM SIGIR Conference on Research and Development in Information Retrieval 2016-2024
  11. Program Committee, The International AAAI Conference on Web and Social Media (ICWSM) 2015-2022.
  12. (Invited Talks) Mining Geo-Social Media for Urban Environment and Time-sensitive Recommendation. Alibaba
  13. (Invited Talks)Smart City and Temporal Spatial Big data Application ，Taiwan Data Science Foundation
  14. (International Tutorials) "Geo-Social Media Analytics." The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, 2016.
  15. (International Tutorials) "Geo-Social Media Analytics." ACM International World Wide Web Conference (WWW'15), Florence, Italy, 2015.
  16. (International Tutorials) "Route Planning and Visualization Using Geo-Social Media Data." AAAI Conference on Weblogs and Social Media (ICWSM'14), Ann Arbor, MI, USA, 2014.
  17. (International Tutorials) "Planning Routes and Locations in Geo-Social Media." IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'14), Beijing, China, 2014.
  18. (Invited Speaker) "When Geo-Social Media Meets Environmental Informatics," Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, 2015
  19. (Invited Talks) Taiwan Ph.D. Representative Speaker, "On Air Quality Inference with Big Urban Data," The Asia-Oceania Top University League on Engineering Conference 2014, Melbourne, Australia, 2014
  20. (Invited Talks) "The Future Trend of Geo-Social Computing," Pacific-Asia Conference on Knowledge Discovery and Data Mining, Tainan, Taiwan, 2014
  21. (Invited Speaker) "My BMW-style Ph.D. Days," Department of Management Information System, National Central University, Taoyuan, Taiwan, 2014
Projects
  1. 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
  2. PI - Winbond: Machine learning for inline-WAT-CP-FT-EQC-RMA correlation(113/1-114/12), 2024/1-2025/12
  3. 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
  4. PI - Deep Exogenous Aid in the Fake News Influence Predictor with Explainability in Social Media, 2023/8 - 2024/7
  5. PI - Winbond EQC Failure root tracing, 2022/11-2023/10
  6. PI-Digital Governance for Tainan City 1 111/07/01-111/09/30
  7. PI-Digital Governance for Tainan City 2 111/10/01-111/12/31
  8. PI - Deploying New Branches Using Multi-performance Prediction for Bank SinoPac, 2021/1 - 2021/12
  9. PI - New Branch Location Recommendation for Bank SinoPac, 2020/1 - 2020/6
  10. 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
  11. PI - An Innovative Location-based Recommender System for Urban Construction, Ministry of Science and Technology (MOST), 2019/8 - 2020/7
  12. PI- Maximizing the Influence Visibility for Social-free Viral Marketing, Ministry of Science and Technology (MOST), 2018/8-2019/7
  13. 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
  14. PI - A Machine Hunter for Spotting Hazardous Air Polluted Locations from Urban Big, Data, Ministry of Science and Technology (MOST), 2017/3 - 2018/2
  15. PI - Inferring Online Social Relationships from Offline Geographical Footprints, Ministry of Science and Technology (MOST), 2017/8 - 2018/7
  16. Project Executor – Popularity Prediction of Locations for Geographical Placement of Retail Stores, Ministry of Science and Technology, 2015.08 – 2016.08
  17. Project Executor – Urban Air, Microsoft Research, 2014.6 – 2015.6.
  18. Resaerch Intern – Microsoft City Next, Microsoft Research, 2013.1 – 2013.9
  19. Project Executor – Merchandise, Multimedia and Travel Recommender System, Institute for Information Industry, 2013.1 – 2013.12
Classes
2024 Fall
2024 Spring
2023 Fall
2022 Fall
2021 Fall
2021 Spring
2020 fall
2020 Spring
2019 fall
2019 spring
2018 fall
2017 fall
2017 spring
2016 fall
2016 spring
Students
Current Academic Year Lab Members
Ph.D.
Su Wu
Pei-Xuan Li
Master
WEI-WEI HSU
XIAO-QING HUANG
TENG-YUAN ZOU
CHEN,TIAN-YUAN
CHUN-WEI SHEN
YUEH-JUNG FU
CHE-WEI TSAI
PI-HSUAN LU
WEN-HSUAN HUANG
HUNG-WEI LI
PO-JUI LAI
BO-YAN TZENG
JIA-JEN TSAI
JING-WEN YANG
HUI-YU MAO
MIN-HUAN TSAI
EN-ZUO HUANG
Graduates of all Previous Years
Master
2018
JYUN-YI WU
2019
XIN-WEI HUANG
2020
Jie-Yu Fang   Chi-Chien Tung   TZU-YING KUO   YU-QI XI
2021
Bao-Hong Lai   Yi-Ying Wu   Cheng-Lin Wu   Nai-Yu Chen   Zheng-Ting Yao   Fandel Lin
2022
Yu-En Chang   Tim-You Wu   WEI-FAN KE   LI-YUAN WANG   Shiuan-Tyng Lin   Yu-Yun Huang
2023
Ming-Chun Wei   Zi-Yi Lu   Chu-Fei Pan
2024
Jia-Wei Jiang   Yu-Chen Chen   YAN-JING LU   CHENG-RU LI   YAN-AN CHEN   WEI-YUN LIANG   JIA-LONG LIN   YONG-RU JHUANG
Honors
  1. ACM KDD 2024 Test of Time Award.
  2. Epidemic Prevention Excellence Award,Taiwan Centers for Disease Control of the Ministry of Health and Welfare 2024.
  3. Best Thesis Award, Taiwan Geographic Information Society, 2024.
  4. Excellent Advisor Award, National Cheng Kung University, 2024.
  5. Golden Award of The Grand Challenge: Cross-Disciplinary Innovative Applications, Taiwan 2024.
  6. 2023 AI Most Influential Scholar Honorable Mention in Data Mining, AMiner, 2023.
  7. Top-10 Outstanding Youth Award winners of Taiwan, 2023.
  8. 2023 K. T. Li Research Award of NCKU, 2023.
  9. IEEE Tainan Section Best Master Thesis Award, 2022
  10. 16th TSC Excellent Thesis Award 2021.
  11. Excenllent Thesis Award, Taiwan Institute of Information & Computing Machinery (IICM), 2023.
  12. 6th IEEE International Conference on Knowledge Innovation and Invention (ICKII) 2023 BEST CONFERENCE PAPER AWARD
  13. Our team won the Bronze Award of The Grand Challenge: Computing for the Future
  14. 2022 K. T. Li Young Researcher Award, 2023.
  15. My lead SOA platform won two honors, the "The Fifth Government Service Award" and the "2022 International Standard Distinguished Project Award" for Tainan City, 2022
  16. ITS Taiwan Award of Intelligent Transportation Society of Taiwan, 2022
  17. Outstanding Youth of Taiwan(Tainan's Representative) 2021.
  18. Outstanding Young Professional Award, Taiwan Consumer Electronics Society, 2022.
  19. Excellent Teaching Award for University Innovation and University Social Responsibility, National Cheng Kung University
  20. The supervised student, Mr. Fandel Lin won the scholarship of Pilot Project Scholarships for Taiwanese Studying in the Focused Field at Top Foreign Universities.
  21. Best Thesis Award, Taiwan Geographic Information Society, 2022.
  22. Best Thesis Award, Taiwan Institute of Information & Computing Machinery (IICM), 2022.
  23. Supervised student won Technology Scholarship of Foxconn Education Foundation, 2022.
  24. ACM Student Research Competition of SIGSPATIAL 2021 Best Paper Winner, 2021.
  25. Best Product Award of National Brand Yushan
  26. Young Thesis Award, The Chinese Institute of Electrical Engineering.
  27. Our team won the 26th the International ICT Innovative Services Awards(Second place).
  28. IEEE Tainan Section Best Master Thesis Award, 2021
  29. ITS Taiwan Award of Intelligent Transportation Society of Taiwan
  30. Best Thesis Award of Taiwan Association for Web Intelligence Consortium (WIC)
  31. Best Thesis Award of Taiwanese Association for Artificial Intelligence (TAAI)
  32. 14th TSC Best Thesis Award 2021.
  33. Best Thesis Award,Taiwan Information Storage Association 2021.
  34. Award of Excellent EE Engineer, The Chinese Institute Of Electrical Engineering(Kaohsiung)
  35. Teaching Excellence Awards of NCKU, 2021
  36. Award of Excellent EE Engineer, The Chinese Institute Of Electrical Engineering, 2021
  37. ACM ICMR 2021 Embedded Deep Learning Object Detection Model Compression Competition for Traffic in Asian Countries – 3rd Place (3rd/308), ACM ICMR 2021
  38. Bronze Award of 2021 Digital Twin Solutions for Smart Farming Competition
  39. MediaTek Social Innovation Special Award 2020.
  40. Our paper accepted by ACM SIGSPATIAL 2020 wins the 1st runner-up place of ACM Student Research Competition in SIGSPATIAL 2020.
  41. Our team won the 25th the International ICT Innovative Services Awards(Award for Excellent).
  42. Special Prize for Taiwan Big Data Analysis in smart manufacturing cpmpetition, 2020
  43. 2nd Place Winner, Competition of Application for Electronic Toll Collection in Traffic Management, Freeway Bureau, Ministry of Transportation and Communications.
  44. Teaching Excellence Awards of NCKU, 2020
  45. Teaching Excellence Awards of EECS College, NCKU, 2020
  46. Top-Advisor Award of NCKU, 2019(top-3 of all NCKU professors)
  47. Second Place Winner of ACM's Student Research Competition Grand, 2019
  48. Best Student Research Competition Award, SIGSPATIAL 2018
  49. College Student Research Creativity Award, MOST, 2019
  50. Supervisor of Silver Medal Winner, Creative Software Applications Contest Award, 2019
  51. Observational Research Award, Pan Wen Yuan Foundation, Taiwan, 2018
  52. Supervisor of Silver Medal Winner, Creative Software Applications Contest Award, 2018
  53. Supervisor of Quality Award Winner, Urban Planning of Taipei Smart City, 2018
  54. First runner-up in the competition of the Big Data Analytics for Smart Cities, Tainan City Government, 2018
  55. Champions in the competition of the Big Data Analytics for Smart Cities, Tainan City Government, 2018
  56. Supervisor of Honorable mention winner, Big Data Competition for Smart Grid, 2017
  57. Best Ph.D. Dissertation Award, Taiwan Geographic Information Society, 2016
  58. Best Ph.D. Dissertation Award, Taiwanese Association for Artificial Intelligence(TAAI), 2015
  59. Best Ph.D. Dissertation Award, Taiwan Institute of Information & Computing Machinery(IICM), 2016
  60. Best Ph.D. Thesis Award, Operations Research Society of Taiwan, 2015
  61. Best Ph.D. Dissertation Runner-up Award, The Chinese Institute of Environmental Engineering, 2015
  62. Best Ph.D. Thesis Award, Taiwanese Association for Social Network, 2015
  63. Advanced Semiconductor Engineering(ASE) Ph.D. Fellowship on Environment Engineering, 2015
  64. Ph.D. Dissertation Award, Fuji Xerox Taiwan, 2016
  65. Young College Elite of 2015, Taiwan Youth Corps
  66. Honorary Member of the Phi Tau Phi Scholastic Honor Society
  67. Outstanding College Youth of National Taiwan University, 2014
  68. Selected Taiwan Ph.D. Fellowship for Asia-Oceania Top University League on Engineering, 2014
  69. Garmin Fellowship, 2014
  70. Best Intern Award, Microsoft Research Asia, 2013
  71. Garmin Fellowship, 2013
  72. ACM KDD Cup 2010 First Prize, 2010.(Over 600 teams)
  73. Third Place of 2009 Lexus Business Strategy Competition
NCKU EE