NCKU EE 教師個人頁面
English Version
解巽評 副教授
地址
電機系館5樓92511室
Email
hphsieh@mail.ncku.edu.tw
TEL
+886-6-2757575 ext.62322
實驗室網站連結
城市科學與計算實驗室
(R95408/ext.62400-2625)
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
2019/8-迄今
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)
  • 路徑規劃與推薦(Route Planning and Recommendation)
著作
期刊論文( Journal )
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  1. Hsun-Ping Hsieh and Cheng-Te Li. Inferring Online Social Ties from Offline Geographical Activities. ACM Transactions on Intelligent Systems and Technology (TIST), 2019. (SCI, 5-year Impact Factor =10.47)
  2. 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)
  3. 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)
  4. 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)
  5. 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.
  6. Chris Shei, Hsun-Ping Hsieh. Linkit: a CALL system for learning Chinese characters, words, and phrases. Computer Assisted Language Learning (CALL), 2012.
  7. 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. 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%)
  2. 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%)
  3. 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%)
  4. 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)
  5. 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)
  6. 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%)
  7. 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)
  8. 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)
  9. 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)
  10. 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%)
  11. 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%)
  12. 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%)
  13. 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%)
  14. 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%)
  15. 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%)
  16. 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%)
  17. 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%)
  18. 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.
  19. 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%)
  20. 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%)
  21. Hsun-Ping Hsieh, Shou-De Lin. On Air Quality Inference with Big Urban Data. Asia-Oceania Top University League on Engineering(AOTULE) Conference, 2014.
  22. 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/
  23. 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.
  24. 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%)
  25. 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%)
  26. 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%)
  27. 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.
  28. 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%)
  29. 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%)
  30. 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%)
  31. 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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其他
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  1. Program Committee, AAAI Conference on Artificial Intelligence 2018-2021.
  2. Program Committee, The Web conference 2019-2021.
  3. Program Committee, The ACM International Conference on Web Search and Data Mining (WSDM) 2018-2021.
  4. Publication Chair, Conference on Technologies and Applications of Artificial Intelligence 2017.
  5. Program Committee, ACM’s Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2015-2020.
  6. Program Committee, ACM CIKM International Conference on Information and Knowledge Management 2017-2019.
  7. Program Committee, The International AAAI Conference on Web and Social Media (ICWSM) 2015-2019.
  8. 大型演講 (Invited Talks) Mining Geo-Social Media for Urban Environment and Time-sensitive Recommendation. 阿里巴巴，杭州北京連線
  9. 大型演講 (Invited Talks)智慧城市中的時空大數據應用，台灣資料科學年會
  10. 國際課程(International Tutorials) "Geo-Social Media Analytics." The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, 2016.
  11. 國際課程(International Tutorials) "Geo-Social Media Analytics." ACM International World Wide Web Conference (WWW'15), Florence, Italy, 2015.
  12. 國際課程(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.
  13. 國際課程(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.
  14. 大型演講 (Invited Talks) 韓國高等理工學院(KAIST), Invited Speaker(演講題目：When Geo-Social Media Meets Environmental Informatics), 2015
  15. 大型演講 (Invited Talks) AOTULE亞洲大洋洲頂尖大學工學院聯盟國際研討會臺灣代表，地點：澳洲墨爾本大學(演講題目：On Air Quality Inference with Big Urban Data), 2014
  16. 大型演講 (Invited Talks) Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Panelist(演講題目：The Future Trend of Geo-Social Computing), 2014
  17. 大型演講 (Invited Talks) 中央大學資訊管理學系, Invited Speaker, 演講題目：My BMW Ph.D. Life, 2014
  18. 2015 台大網媒所 博士畢業生致詞代表
  19. 2009 台大資管所 研究所畢業生致詞代表
其他
more
less
  1. Program Committee, AAAI Conference on Artificial Intelligence 2018-2021.
  2. Program Committee, The Web conference 2019-2021.
  3. Program Committee, The ACM International Conference on Web Search and Data Mining (WSDM) 2018-2021.
  4. Publication Chair, Conference on Technologies and Applications of Artificial Intelligence 2017.
  5. Program Committee, ACM’s Special Interest Group on Knowledge Discovery and Data Mining (KDD) 2015-2020.
  6. Program Committee, ACM CIKM International Conference on Information and Knowledge Management 2017-2019.
  7. Program Committee, The International AAAI Conference on Web and Social Media (ICWSM) 2015-2019.
  8. 大型演講 (Invited Talks) Mining Geo-Social Media for Urban Environment and Time-sensitive Recommendation. 阿里巴巴，杭州北京連線
  9. 大型演講 (Invited Talks)智慧城市中的時空大數據應用，台灣資料科學年會
  10. 國際課程(International Tutorials) "Geo-Social Media Analytics." The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'16), Auckland, New Zealand, 2016.
  11. 國際課程(International Tutorials) "Geo-Social Media Analytics." ACM International World Wide Web Conference (WWW'15), Florence, Italy, 2015.
  12. 國際課程(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.
  13. 國際課程(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.
  14. 大型演講 (Invited Talks) 韓國高等理工學院(KAIST), Invited Speaker(演講題目：When Geo-Social Media Meets Environmental Informatics), 2015
  15. 大型演講 (Invited Talks) AOTULE亞洲大洋洲頂尖大學工學院聯盟國際研討會臺灣代表，地點：澳洲墨爾本大學(演講題目：On Air Quality Inference with Big Urban Data), 2014
  16. 大型演講 (Invited Talks) Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Panelist(演講題目：The Future Trend of Geo-Social Computing), 2014
  17. 大型演講 (Invited Talks) 中央大學資訊管理學系, Invited Speaker, 演講題目：My BMW Ph.D. Life, 2014
  18. 2015 台大網媒所 博士畢業生致詞代表
  19. 2009 台大資管所 研究所畢業生致詞代表
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研究計劃
  1. 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
  2. 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
  3. PI - 城市建設選址創新推薦系統, 2019/8 - 2020/7
  4. 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
  5. 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
  6. 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
  7. 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
  8. PI - 從離線地理足跡推估線上社交關係, 科技部, 2017/8 - 2018/7
  9. 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
  10. Co-PI - 成大、永豐銀行 Atelier Future未來智慧生活工場
  11. 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
  12. 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
  13. 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.
  14. Resaerch Intern – Microsoft City Next, Microsoft微軟亞洲研究院, 2013.1 – 2013.9
  15. 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
109學年上
108學年下
108學年上
107學年下
107學年上
106學年上
106學年下
105學年上
105學年下
指導學生
本學年度 實驗室成員
碩士班
簡聖庭
柯韋帆
王儷媛
林寰鐸
陳乃伃
姚政廷
賴保宏
吳依穎
吳承霖
張語恩
林軒廷
吳定祐
汪思羽
黃郁雲
已畢業學生
碩士班
2020
方婕瑀   董濟鈐   郭子瑛   洗鈺淇
2019
黃新幃
2018
吳俊毅
特殊榮譽
  1. 108學年度國立成功大學參與大學創新與大學特優教師社會責任教師
  2. 榮獲108學年度國立成功大學電資學院教學優良教師
  3. 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)
  4. 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)
  5. 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)
  6. 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
  7. 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
  8. 指導學生獲得108年度全國大專校院軟體創作競賽銀牌
  9. 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
  10. 2018 全國軟體達人創作營成果發表獲得優選
  11. 潘文淵文教基金會考察研究獎(2018)
  12. 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)
  13. 指導學生獲得2018全國大專校院軟體創作競賽銀牌(2018)
  14. 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)
  15. 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)
  16. 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)
  17. 中華民國地理資訊學會金圖獎(2016)
  18. 中華民國人工智慧學會最佳博士論文獎(2015)
  19. 中華民國資訊學會最佳博士論文獎(2015)
  20. 臺灣作業研究學會最佳博士論文獎(2015)
  21. 中華民國環境工程學會博士論文獎(2015)
  22. 臺灣社會網絡學會最佳博士論文獎(2015)
  23. 日月光環保學術博士論文獎(2015)
  24. 財團法人全錄(Xerox)文教基金會學術論文獎(2015)
  25. 臺灣青年救國團104年全國大專優秀青年(2015)
  26. 中華民國斐陶斐榮譽會員
  27. 103學年度臺灣大學優秀青年(2014)
  28. 亞洲大洋洲頂尖大學工學院聯盟會議台灣代表(2014)
  29. Garmin國際航電研究獎學金(2014)
  30. Microsoft微軟亞洲研究院最佳實習生(2013)
  31. Garmin國際航電研究獎學金(2013)
  32. 2010美國電腦學會世界頂級資料探勘大賽(ACM KDDCUP)冠軍(2010)
  33. Lexus商業策略個案競賽全國第三名(2009)
NCKU EE