MEMBERS

中心成員
關於

核心技術專長領域

資料探勘、資料庫系統、雲端運算、網際網路資訊系統、分散式帳本技術、智慧能源管理

 

近期計畫

  • 科技部、2021/02/01~2022/01/31、資料驅動智慧應用技術產學聯盟(2/3)
  • 科技部、2020/08/01~2023/07/31、子計畫三:支持智慧城市脈動之生活品質優化資料分析技術
  • 科技部、2020/02/01~2021/01/31、資料驅動智慧應用技術產學聯盟(1/3)
  • 教育部、2020、智慧創新跨域人才培育聯盟計畫-大數據分析-B類計畫:中心學校分項 主持人
  • 教育部、2019、教育部補助大學產業創新研發計畫-智慧型物聯網資料區塊鏈平台研發 主持人
  • 教育部、大學校院數位證書計畫-國立成功大學數位證書及場域建置試辦計畫 主持人
近期開課

開課名稱:計算理論

開課系所:資訊系

課綱連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0110&sem=1&co_no=F732000&class_code=


開課名稱:機器學習與資料科學

開課系所:資訊所

課綱連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0109&sem=1&co_no=P76I400&class_code=


開課名稱:資料科學與人工智慧競技

開課系所:資訊系、人工智慧碩士學程、資訊所、製造所、醫資所、金融資訊產碩

課綱連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0110&sem=2&co_no=P75J000&class_code=


開課名稱:空間資料分析專論

開課系所:人工智慧碩士學程、資訊所、醫資所、多媒博士學程、金融資訊產碩

課綱連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0110&sem=1&co_no=P76E900&class_code=


開課名稱:巨量圖數據資料庫分析專論

開課系所:人工智慧碩士學程、資訊所、醫資所、多媒博士學程

課綱連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0108&sem=2&co_no=P771500&class_code=


開課名稱:區塊鏈產業應用

開課系所:不分系學程

課綱連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0108&sem=1&co_no=AN14300&class_code=


開課名稱:區塊鏈技術開發—R3 Corda

開課系所:不分系學程

課綱連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0109&sem=2&co_no=AN1A000&class_code=


開課名稱:區塊鏈技術開發—Hyperledger Fabric

開課系所:不分系學程

課綱連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0109&sem=2&co_no=AN1A100&class_code=

近五年著作

期刊暨研討會學術發表

  1. Yeh, C. Y., Chung, Y. T., Chuang, K. T., Shu, Y. C., Kao, H. Y., Chen, P. L., Ko, W. C., & Ko, N. Y. (2021). An innovative wearable device for monitoring continuous body surface temperature (HEARThermo): Instrument validation study. JMIR mHealth and uHealth9(2), [e19210]. https://doi.org/10.2196/19210
  2. Ting, L. P. Y., Wu, P. H., Jhang, J. Y., Yang, K. J., Chen, Y. J., & Chuang, K. T. (2021). Boosting Latent Inference of Resident Preference from Electricity Usage - A Demonstration on Online Advertisement Strategies. 於 M. Golfarelli, R. Wrembel, G. Kotsis, A. M. Tjoa, & I. Khalil (編輯), Big Data Analytics and Knowledge Discovery - 23rd International Conference, DaWaK 2021, Proceedings (頁 272-279). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 12925 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86534-4_27
  3. Lin, C. C., Chuang, K. T., Chi-Hsuan Wu, W., & Chen, M. S. (2020). Budget-constrained real-time bidding optimization: Multiple predictors make it better. ACM Transactions on Knowledge Discovery from Data14(2), [14]. https://doi.org/10.1145/3375393
  4. Chung, Y. T., Yeh, C. Y., Shu, Y. C., Chuang, K. T., Chen, C. C., Kao, H. Y., Ko, W. C., Chen, P. L., & Ko, N. Y. (2020). Continuous temperature monitoring by a wearable device for early detection of febrile events in the SARS-CoV-2 outbreak in Taiwan, 2020. Journal of Microbiology, Immunology and Infection53(3), 503-504. https://doi.org/10.1016/j.jmii.2020.04.005
  5. Ting, L. P. Y., Teng, S. Y., Wang, S., Chuang, K. T., & Liu, H. (2020). Learning latent perception graphs for personalized unknowns recommendation. 於 Proceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020 (頁 32-41). [9319281] (Proceedings - 2020 IEEE 2nd International Conference on Cognitive Machine Intelligence, CogMI 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CogMI50398.2020.00015
  6. Ting, L. P. Y., Teng, S. Y., Chuang, K. T., & Lim, E. P. (2020). Learning personal conscientiousness from footprints in e-learning systems. 於 C. Plant, H. Wang, A. Cuzzocrea, C. Zaniolo, & X. Wu (編輯), Proceedings - 20th IEEE International Conference on Data Mining, ICDM 2020 (頁 1292-1297). [9338404] (Proceedings - IEEE International Conference on Data Mining, ICDM; 卷 2020-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDM50108.2020.00166
  7. Ting, L. P. Y., Koketsu Rodrigues, T., Kato, N., & Chuang, K. T. (2020). Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation. 於 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings [9348769] (IEEE Vehicular Technology Conference; 卷 2020-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2020-Fall49728.2020.9348769
  8. Chang, C. W., Chen, C. D., & Chuang, K. T. (2020). Queries of K-discriminative paths on road networks. Knowledge and Information Systems62(5), 1751-1780. https://doi.org/10.1007/s10115-019-01397-4
  9. Chen, B. H., Li, C. T., & Chuang, K. T. (2019). A check-in shielding scheme against acquaintance inference in location-based social networks. World Wide Web, 22(6), 2321-2354.

 

  1. Chen, B. H., Li, C. T., Chuang, K. T., Pang, J., & Zhang, Y. (2019). An active learning-based approach for location-aware acquaintance inference. Knowledge and Information Systems, 59(3), 539-569.

 

  1. Teng, S. Y., Wu, S. C., & Chuang, K. T. (2019, June). Optimal Delivery Routing in Road Network With Occupancy Detection. In 2019 20th IEEE International Conference on Mobile Data Management (MDM) (pp. 575-580). IEEE.

 

  1. Chang, C. W., Chen, C. D., & Chuang, K. T. (2019). Queries of K-discriminative paths on road networks. Knowledge and Information Systems, 1-30.

 

  1. Yeh, C. Y., Lu, B. Z., Liang, W. J., Shu, Y. C., Chuang, K. T., Chen, P. L., ... & Ko, N. Y. (2019). Trajectories of hepatic and coagulation dysfunctions related to a rapidly fatal outcome among hospitalized patients with dengue fever in Tainan, 2015. PLoS neglected tropical diseases, 13(12).

 

  1. Teng, S. Y., Yeh, M. Y., & Chuang, K. T. (2019). Worship prediction: identify followers in celebrity-dived networks. World Wide Web, 22(1), 347-373.

 

  1. Lee, W., Huang, C. H., Chang, C. W., Wu, M. K. D., Chuang, K. T., Yang, P. A., & Hsieh, C. C. (2018, January). Effective quality assurance for data labels through crowdsourcing and domain expert collaboration. In 21st International Conference on Extending Database Technology, EDBT 2018 (pp. 646-649). OpenProceedings. org.

 

  1. Teng, S. Y., Li, J., Ting, L. P. Y., Chuang, K. T., & Liu, H. (2018, November). Interactive unknowns recommendation in e-learning systems. In 2018 IEEE International Conference on Data Mining (ICDM) (pp. 497-506). IEEE.

 

  1. Shan, M. K., De Lin, S., Cheng, P. J., Yeh, M. Y., Li, C. T., & Chuang, K. T. (2018, May). Message from the General Co-Chairs and Program Co-Chairs: TAAI 2017. In Proceedings-2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017 (p. ix).

 

  1. Chang, C. W., Yeh, M. Y., & Chuang, K. T. (2018). Node reactivation model to intensify influence on network targets. Knowledge and Information Systems, 54(3), 567-590.

 

  1. Ting, L. P. Y., Li, C. T., & Chuang, K. T. (2018, June). Predictive Team Formation Analysis via Feature Representation Learning on Social Networks. In Pacific-Asia Conference on Knowledge Discovery and Data Mining (pp. 790-802). Springer, Cham.
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