國立成功大學電機工程學系 教師個人頁面
English Version
解巽評 教授
地址
電機系館5樓92511室
Email
TEL
06-2757575 ext.62322
實驗室網站連結
城市科學與計算實驗室
(R96209/ext.62400-3709)
學經歷
學歷
2015
臺灣大學資訊網路與多媒體研究所博士
2009
臺灣大學資訊管理學系研究所碩士
2007
中央大學資訊管理學系學士(資訊工程輔系)
經歷
2023/8- now
國立成功大學電機工廠 主任
2022/8- now
國立成功大學電機工程學系 教授
2023/8月-now
國立成功大學智慧半導體及永續製造學院 合聘教授
2024/1- now
IEEE Tainan國際電機電子工程師學會中華民國第一分會 理事
2022/1-2023/12
IEEE Tainan國際電機電子工程師學會中華民國第一分會 財務長
2020/1- 2020/12
臺南市政府智慧SOA服務平臺整體規劃 顧問
2019/8- 2022/7
國立成功大學電機工程學系 副教授
2016/8-2019/7
國立成功大學電機工程學系 助理教授
2018/7-2018/8
英國Swansea University 訪問學者
2015/8-2016/7
空軍航空技術學院義務役
2015/7-2015/8
韓國高等理工學院(KAIST) 訪問學者
2013/1-2013/9
Microsoft 微軟亞太研發中心明日之星
研究領域
  • 大數據資料分析與探勘(Big Data Mining and Analytics)
  • 城市科學與計算(Urban Science and Computing)
  • 智慧城市與物聯網應用(Smart City and Internet of Things Applications)
  • 時空資訊計算(Spatial-Temporal Information Computing)
  • 社群網路分析(Social Network Analysis)
  • 感測連結網路運算(Sensor Network Computing)
  • 機器學習(Machine Learning)
  • 金融資訊科技(Fintech)
著作
期刊論文( Journal )
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  1. 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
  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.
  3. 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.
  4. 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.
  5. 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.
  6. 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)
  7. 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)
  8. 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)
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. Fandel Lin, Hsun-Ping Hsieh. "Multi-Criteria Route Planning for In-Operation Mass Transit under Urban Data." Applied Sciences, 2022.
  18. 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)
  19. 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)
  20. 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)
  21. 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.
  22. Chris Shei, Hsun-Ping Hsieh. Linkit: a CALL system for learning Chinese characters, words, and phrases. Computer Assisted Language Learning (CALL), 2012.
  23. 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.
會議論文( Conference )
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  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.
專利
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  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
其他
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  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
研究計劃
  1. PI - 華邦電子 Machine learning for inline-WAT-CP-FT-EQC-RMA correlation(113/1-114/12), 2024/1-2025/12
  2. PI - 華邦電子 EQC Failure root tracing, 2022/11-2023/10
  3. PI - 結合內外生因素之可解釋性模型預測假新聞於社群媒體上的影響力, 2023/08 - 2024/07
  4. PI - 事前推估與事後預測的交通路線規劃框架一基於雙步驟圖注意力網路推估與時空間整改動態清除圖神經網路交通人流預測, 2023/08 - 2026/07
  5. PI - 兼具質化與量化分析的互動式大眾運輸新設路線輔助規劃與推薦系統(科技部年輕學者榮譽名銜-愛因斯坦培植計畫), 2019/11 - 2023/10
  6. PI-台南市政府111年城市數位治理人才培育計畫-提案規劃班 111/07/01-111/09/30
  7. PI-台南市政府111年城市數位治理人才培育計畫-專案實務班 111/10/01-111/12/31
  8. 顧問-臺南市政府智慧SOA服務平臺整體規劃 2020/1 - 2021/1
  9. PI- 台南市政府教育局校園登革熱預警系統2021/6 - 2023/12
  10. PI - 永豐銀行-銀行分行選址妥適性決策與實驗沙盒環境建置, 2021/01- 2021/12
  11. PI - 永豐銀行-結合資料科學與人工智慧建立分行效益評估模型與據點推薦系統, 2020/01- 2020/06
  12. PI - 城市建設選址創新推薦系統, 2019/8 - 2020/7
  13. PI - 運用機器學習與大數據分析之填補智慧電表遺漏值方法, 科技部, 2018/8 - 2019/7
  14. PI- 社群網路資料分析、統計推論及其應用-社群影響力能見度最大化及其應用於未知網路病毒式行銷, 科技部, 2018/8-2019/7
  15. PI - 機器空汙獵人: 運用城市大數據偵測危險空氣汙染地區, 科技部, 2017/3 - 2018/2
  16. Co-PI - 以人工智慧在普邁維斯磁振造影下鑑別病理期別T1和T2的肝細胞癌, 奇美醫療財團法人奇美醫院, 2018/9-2019/7
  17. PI - 從離線地理足跡推估線上社交關係, 科技部, 2017/8 - 2018/7
  18. Advisor - 科技部大專生參與專題研究計畫:城市大眾運輸之新闢路線規劃與時空載客量推估決策系統
  19. Co-PI - 成大、永豐銀行 Atelier Future未來智慧生活工場
  20. Advisor - 科技部大專生參與專題研究計畫:各類型地點吸引人潮之佈建方法與關鍵成因分析
  21. Project Executor – 時間地點熱門程度預測及其應用於連鎖商店之新據點推薦, 科技部, 2015.08 – 2016.08
  22. Project Executor – 整合性空氣質量推估與新量測站地點推薦系統, Microsoft微軟亞洲研究院, 2014.6 – 2015.6.
  23. Resaerch Intern – Microsoft City Next, Microsoft微軟亞洲研究院, 2013.1 – 2013.9
  24. Project Executor – 異質資訊關聯性建立與引介機制探索與建置計畫, 資策會, 2013.1 – 2013.12
開授課程
113學年度上學期
112學年度下學期
112學年度上學期
111年度上學期
110學年度上學期
109學年上學期
109學年下學期
108學年下學期
108學年上學期
107學年下學期
107學年上學期
106學年上學期
106學年下學期
105學年上學期
105學年下學期
指導學生
本學年度 實驗室成員
博士班
吳澍
李姵萱
碩士班
許葳葳
黃筱晴
鄒騰元
陳田原
沈俊維
傅約榮
蔡哲偉
呂苾瑄
黃雯萱
李紘維
賴柏叡
曾柏諺
蔡佳蓁
楊淨雯
毛惠鈺
蔡旻桓
黃恩佐
已畢業學生
碩士班
2018
吳俊毅
2019
黃新幃
2020
方婕瑀   董濟鈐   郭子瑛   洗鈺淇
2021
賴保宏   吳依穎   吳承霖   陳乃伃   姚政廷   林寰鐸
2022
吳定祐   張語恩   林軒廷   黃郁雲   簡聖庭   柯韋帆
2023
魏名駿   呂姿儀   潘去非
2024
江家瑋   陳俞蓁   呂晏菁   李承儒   陳彥安   梁瑋芸   林佳隆   莊詠如
特殊榮譽
  1. ACM KDD 2024 Test of Time Award（最禁得起時間考驗研究獎），為近十年在AI數據科學領域中最具備國際影響力的論文。
  2. 獲知名國際學術影響力分析網站 AMiner 評選為全球 AI 資料探勘領域近十年最具影響力百大學者(臺灣唯一入選學者)。
  3. 衛生福利部113年度防疫績優獎
  4. 指導碩士生榮獲2024 「台灣地理資訊學會」金圖獎-碩士論文獎
  5. 112學年度輔導優良教師, 2024
  6. 指導學生: 鄒騰元、葉榮蒼、陳宣憬、賴溡雨獲得2024 「智慧運算創新應用」專題實作競賽金獎,2024
  7. 國立成功大學112學年度李國鼎科技與人文講座-李國鼎研究獎
  8. 中華民國112年十大青年獎章(與蔣萬安市長同時獲獎)
  9. 2023年第十六屆崇越論文大賞-優等論文獎
  10. 台灣永續能源研究基金會SDGs最佳論文獎, 2023
  11. 中華民國資訊學會碩士論文佳作獎, 2023
  12. IEEE Tainan Section 最佳碩士論文獎,2023
  13. 2023聯發科技智在家鄉數位社會創新特別獎
  14. 中國電機工程學會 青年論文獎(佳作), 2023
  15. 2022年資訊學會-李國鼎青年研究獎
  16. 指導學生獲2023敏求智慧運算競賽銅牌獎
  17. 擔任台南市SOA服務平台整體規劃之顧問，該SOA平台獲得榮獲「第五屆政府服務獎」與「2022國際標竿專案奬」兩項殊榮。
  18. 中華智慧運輸協會 2022年智慧運輸獎
  19. 2022 臺灣綜合大學系統年輕學者創新研發成果選拔佳作獎
  20. 110年全國各界表揚社會優秀青年臺南市代表
  21. 移植至永豐銀行之產學計畫技術轉移獲2021第18屆國家品牌玉山獎（最佳產品類)
  22. 中華民國消費電子學會2022年傑出青年獎
  23. 110學年度國立成功大學教學創新與大學社會責任特優教師
  24. 指導碩士生榮獲2022 「台灣地理資訊學會」金圖獎-碩士論文獎
  25. 110年全國大學校院數位人文據生競賽攻頂組第三名
  26. 中華智慧運輸協會 2021年智慧運輸獎
  27. 中國電機工程學會(高雄分會) 優秀電機工程師獎
  28. 指導學生獲教育部高教司110-111年臺灣重點領域獎學金
  29. 指導學生榮獲鴻海科技獎
  30. 指導學生獲ACM Student Research Competition of SIGSPATIAL 2021 Best Paper Winner
  31. ACM SIGSPATIAL 2021 Best Paper Candidate
  32. 崇越論文大賞-特優論文獎(953篇競賽論文中全國唯一由總統親頒)
  33. IEEE Tainan Section 最佳碩士論文獎
  34. 中華民國資訊學會碩士論文優等獎
  35. 中華民國人工智慧學會110年度最佳碩士論文獎
  36. 台灣資訊儲存技術協會最佳碩士論文獎
  37. 台灣作業研究學會碩博士論文競賽優勝
  38. 中國電機工程學會青年論文獎
  39. 台灣網路智能學會109年度最佳碩士論文獎
  40. 帶領團隊獲全國大專校院資訊應用服務創新競賽-商業應用組第二名, 2021
  41. 110年度中國電機工程優秀電機工程師獎
  42. 109學年度國立成功大學參與大學創新與大學社會責任特優教師
  43. 榮獲109學年度國立成功大學教學優良獎
  44. 聯發科技數位社會創新特別獎, 2020
  45. ACM ICMR 2021 國際會議交通物件辨識競賽世界第三名 (3rd/308)
  46. 獲2021智慧農業數位分身創新應用競賽銅獎
  47. 指導學生獲2021第十六屆全國規劃系所聯展優等獎
  48. 指導學生獲教育部大專院校人工智慧競賽佳作, 2020
  49. 交通部高速公路ETC 資料在交通管理之應用創意競賽第二名(冠軍從缺), 2020
  50. 獲2020全國智慧製造大數據分析競賽特別獎, 2020
  51. 1st runner-up place of ACM Student Research Competition in SIGSPATIAL 2020.
  52. 指導學生獲全國大專校院資訊應用服務創新競賽TGOS地圖協作應用組佳作, 2020.
  53. 指導學生獲工研院AIdea多樣態光電製程品質預測競賽 – 第二名, 2020
  54. 指導學生獲工研院AIdea圖書館資源對學習成效影響預測競賽第一名, 2020
  55. 108學年度國立成功大學參與大學創新與大學社會責任特優教師
  56. 榮獲108學年度國立成功大學電資學院教學優良教師
  57. 107學年度國立成功大學輔導傑出教師(每年全校僅遴選三位)
  58. 和學生共獲Best Student Research Competition Award, ACM SIGSPATIAL 2018(地理資訊計算最佳國際會議)
  59. 和學生共獲ACM 2018-2019年度學生研究大獎世界第二名(獲獎者將與該年度的圖靈獎(資訊界諾貝爾獎)得主同台在ACM年度大會中授獎)
  60. 指導學生獲「科技部107年度大專學生參與專題計畫」研究創作獎
  61. 主持教育部智慧聯網技術與應用人才培育計畫之感測網路於空間資訊之應用模組並獲教育部遴選為年度五大成果亮點
  62. 指導學生獲得108年度全國大專校院軟體創作競賽銀牌
  63. 指導學生榮獲2019T貓盃全國資安基礎實務能力競賽榮獲特優
  64. 2018 全國軟體達人創作營成果發表獲得優選
  65. 潘文淵文教基金會考察研究獎(2018)
  66. 指導學生獲得第二屆臺北智慧生態社區設計競圖獲得優選(2018)
  67. 指導學生獲得2018全國大專校院軟體創作競賽銀牌(2018)
  68. 指導學生參加台南市政府舉辦107年「培養數據新視野 翻轉城市競爭力」成果競賽獲第二名(2018)
  69. 指導學生參加台南市政府舉辦107年「培養數據新視野 翻轉城市競爭力」成果競賽獲第一名與最佳人氣獎(2018)
  70. 指導學生獲經濟部能源局 低壓智慧電表大數據分析競賽佳作指導學生獲經濟部能源局 低壓智慧電表大數據分析競賽佳作(2017)
  71. 中華民國地理資訊學會金圖獎(2016)
  72. 中華民國人工智慧學會最佳博士論文獎(2015)
  73. 中華民國資訊學會最佳博士論文獎(2015)
  74. 臺灣作業研究學會最佳博士論文獎(2015)
  75. 中華民國環境工程學會博士論文獎(2015)
  76. 臺灣社會網絡學會最佳博士論文獎(2015)
  77. 日月光環保學術博士論文獎(2015)
  78. 財團法人全錄(Xerox)文教基金會學術論文獎(2015)
  79. 臺灣青年救國團104年全國大專優秀青年(2015)
  80. 中華民國斐陶斐榮譽會員
  81. 103學年度臺灣大學優秀青年(2014)
  82. 亞洲大洋洲頂尖大學工學院聯盟會議台灣代表(2014)
  83. Garmin國際航電研究獎學金(2014)
  84. Microsoft微軟亞洲研究院最佳實習生(2013)
  85. Garmin國際航電研究獎學金(2013)
  86. 2010美國電腦學會世界頂級資料探勘大賽(ACM KDDCUP)冠軍(2010)
  87. Lexus商業策略個案競賽全國第三名(2009)
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