MEMBERS

中心成員
  • 姓名 :

    黃仁暐

  • 職稱 :

    教授 Professor

  • 所屬實驗室 :

    ESG永續金融與智能理財實驗室

  • 系所名稱 :

    電機工程學系

  • 個人資料網頁 :

    點此進入

  • 學術成大 :

    點此進入

  • 洽談合作信箱 :

    jwhuang@mail.ncku.edu.tw

關於

核心技術專長領域

  • 人工智慧技術
  • 資料探勘
  • 機器學習、行動支付

 

FinTech研究領域專長

  • Investment Management
  • Market Provisioning
  • 數位金融或網銀相關
  • 智能投資理財
  • 商用決策系統
  • 精準行銷推薦技術KYC

 

研究領域

  • 資料探勘與資料庫之應用
  • 社群網路與媒體分析
  • 時空間資料探勘
  • 多媒體資訊檢索
  • 金融科技
  • 生物資訊

 

近期計畫

  • 科技部、2020/08/01~2023/07/31、基於行程預測及路徑規劃之智慧型先進旅行者資訊系統

 

人才培育成果

  • 110/02/19教育部全國大專院校人工智慧競賽-醫病訊息決策與對話語料分析競賽-醫病資料去識別化 優等

    (指導學生:薛勝謙、李東恩)

  • 110/02/19教育部全國大專院校人工智慧競賽-愛文芒果五類不良品辨識競賽 佳作

    (指導學生:王崇名、傅立威、方伸維、朱瑋民)

  • 109/04/18教育部人工智慧閱讀機器閱讀競賽之論文分類 前標

    (指導學生:葉疄稷、何泰良、郭泰德、葉家彣)

  • 108/12/14 帶領QQAQ團隊獲得民生公共物聯網競賽佳作

    (指導學生:陳侲富、鍾孟勳、蘇評威、曾文彥、葉家彣、劉發元、呂姿儀、林云雲、李明峯、留鈺淳)

  • 108/11/22  TAAI 博士論文獎

    (指導學生:Bijay P. Jaysawal)

  • 108/11/11  TAAI 2019 Excellent Paper Award

    (指導學生:簡志佳、馬豪尚)

 

教師個人重大榮譽

  • 109/03/01 教育部智慧聯網技術與應用人才培育計畫課程優良獎
  • 109/08/01 科技部優秀年輕學者研究計畫
  • 109/09/01 國立成功大學108學年度教學優良教師
  • 109/12/18中國電機工程學會優秀青年電機工程師獎
近期開課

開課名稱:計算機概論(一)

開課系所:電機系

課程連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0110&sem=1&co_no=E216610&class_code=1 


開課名稱:計算機概論(二)

開課系所:電機系

課程連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0108&sem=2&co_no=E216620&class_code=1 


開課名稱:資料探勘與社群網路分析

開課系所:電機所、電通所、電微波元件產碩、光電產碩

課程連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0109&sem=2&co_no=Q370100&class_code= 


開課名稱:大數據巨量資料分析實務與應用

開課系所:電機系、電機所、電通所

課程連結:http://class-qry.acad.ncku.edu.tw/syllabus/online_display.php?syear=0109&sem=1&co_no=N25I100&class_code= 

近五年著作
  1. Chang, C. L., Li, S. C., & Huang, J. W. (2021). Ensemble2N et: Learning from Ensemble Teacher Networks via Knowledge Transfer. 於 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings (2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSCI50451.2021.9660159
  2. Ke, Y. H., Huang, J. W., Lin, W. C., & Jaysawal, B. P. (2021). Finding Possible Promoter Binding Sites in DNA Sequences by Sequential Patterns Mining with Specific Numbers of Gaps. IEEE/ACM Transactions on Computational Biology and Bioinformatics18(6), 2459-2470. https://doi.org/10.1109/TCBB.2020.2980234
  3. Liu, F. Y., Li, S. C., & Huang, J. W. (2021). Forming a team of cost-effective and well-collaborated experts in social networks based on hierarchical skill model. 於 M. Coscia, A. Cuzzocrea, & K. Shu (編輯), Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021 (頁 134-137). (Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021). Association for Computing Machinery, Inc. https://doi.org/10.1145/3487351.3488359
  4. Wong, P. Y., Hsu, C. Y., Wu, J. Y., Teo, T. A., Huang, J. W., Guo, H. R., Su, H. J., Wu, C. D., & Spengler, J. D. (2021). Incorporating land-use regression into machine learning algorithms in estimating the spatial-temporal variation of carbon monoxide in Taiwan. Environmental Modelling and Software139, [104996]. https://doi.org/10.1016/j.envsoft.2021.104996
  5. Ma, H. S., Li, S. C., Jian, Z. J., Kuo, Y. H., & Huang, J. W. (2021). Local community detection by local structure expansion and exploring the local communities for target nodes in complex networks. Journal of Information Science and Engineering37(3), 499-515. https://doi.org/10.6688/JISE.20210537(3).0001
  6. Huang, J. W., Jaysawal, B. P., & Wang, C. C. (2021). Mining full, inner and tail periodic patterns with perfect, imperfect and asynchronous periodicity simultaneously. Data Mining and Knowledge Discovery35(4), 1225-1257. https://doi.org/10.1007/s10618-021-00753-9
  7. Huang, J. W., Lee, P. J., & Jaysawal, B. P. (認可的出版社/出版中). Multi-Scale Control Chart Pattern Recognition using Histogram-Based Representation of Value and Zero-Crossing Rate. IEEE Transactions on Industrial Electronicshttps://doi.org/10.1109/TIE.2021.3050355
  8. Ma, H. S., & Huang, J. W. (2021). User Preference Translation Model for Next Top-k Items Recommendation with Social Relations. 於 C. S. Jensen, E-P. Lim, D-N. Yang, W-C. Lee, V. S. Tseng, V. Kalogeraki, J-W. Huang, & C-Y. Shen (編輯), Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Proceedings (頁 652-655). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 12683 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-73200-4_54
  9. Wong, P. Y., Su, H. J., Lee, H. Y., Chen, Y. C., Hsiao, Y. P., Huang, J. W., Teo, T. A., Wu, C. D., & Spengler, J. D. (2021). Using land-use machine learning models to estimate daily NO2 concentration variations in Taiwan. Journal of Cleaner Production317, [128411]. https://doi.org/10.1016/j.jclepro.2021.128411
  10. Hsiao, Y. P., Wu, C. D., Huang, J. W., Teo, T. A., & Lin, S. Y. (2020). A neural network-based land use regression model to estimate spatial-temporal variability of SO2. 論文發表於 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019, Daejeon, Korea, Republic of.
  11. Liu, C. L., Fu, S. W., Li, Y. J., Huang, J. W., Wang, H. M., & Tsao, Y. (2020). Multichannel Speech Enhancement by Raw Waveform-Mapping Using Fully Convolutional Networks. IEEE/ACM Transactions on Audio Speech and Language Processing28, 1888-1900. [9013080]. https://doi.org/10.1109/TASLP.2020.2976193
  12. Huang, J. W., Wu, Y. B., & Jaysawal, B. P. (2020). On mining progressive positive and negative sequential patterns simultaneously. Journal of Information Science and Engineering36(1), 145-169. https://doi.org/10.6688/JISE.20200136(1).0009
  13. Sung, C. E., Ma, H. S., & Huang, J. W. (2020). Positive influence maximization and negative influence minimization in signed networks under competitive independent cascade model. 於 G. Webb, Z. Zhang, V. S. Tseng, G. Williams, M. Vlachos, & L. Cao (編輯), Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020 (頁 236-244). [9260049] (Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA49011.2020.00036
  14. Tai, S. H., Ma, H. S., & Huang, J. W. (2020). Social Influence Prediction by a Community-Based Convolutional Neural Network. 於 Y. Ohsawa, K. Yada, T. Ito, Y. Takama, E. Sato-Shimokawara, A. Abe, J. Mori, & N. Matsumura (編輯), Advances in Artificial Intelligence - Selected Papers from the Annual Conference of Japanese Society of Artificial Intelligence JSAI 2019 (頁 203-214). (Advances in Intelligent Systems and Computing; 卷 1128 AISC). Springer. https://doi.org/10.1007/978-3-030-39878-1_19
  15. Jaysawal, B. P., & Huang, J. W. (2020). SOHUPDS: A single-pass one-phase algorithm for mining high utility patterns over a data stream. 於 35th Annual ACM Symposium on Applied Computing, SAC 2020 (頁 490-497). (Proceedings of the ACM Symposium on Applied Computing). Association for Computing Machinery. https://doi.org/10.1145/3341105.3373928
  16. Huang, J. W., Zhong, M. X., & Jaysawal, B. P. (2020). Tadilof: Time aware density-based incremental local outlier detection in data streams. Sensors (Switzerland)20(20), 1-25. [5829]. https://doi.org/10.3390/s20205829
  17. Ma, H. S., & Huang, J. W. (2020). User Preference Translation Model for Recommendation System with Item Influence Diffusion Embedding. 於 M. Atzmuller, M. Coscia, & R. Missaoui (編輯), Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020 (頁 50-54). [9381410] (Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM49781.2020.9381410
  18. Tseng, W. Y., Chen, K. H., & Huang, J-W. (2019). Crowdsourced object-labeling based on a game-based mobile application. Multimedia Tools and Applications78(13), 18137-18168. https://doi.org/10.1007/s11042-018-6944-y
  19. Zezario, R. E., Huang, J. W., Lu, X., Tsao, Y., Hwang, H. T., & Wang, H. M. (2019). Deep Denoising Autoencoder Based Post Filtering for Speech Enhancement. 於 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings (頁 373-377). [8659598] (2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/APSIPA.2018.8659598
  20. Jaysawal, B. P., & Huang, J. W. (2019). DMHUPS: Discovering Multiple High Utility Patterns Simultaneously. Knowledge and Information Systems59(2), 337-359. https://doi.org/10.1007/s10115-018-1207-9
  21. Yang, T. H., Ma, H. S., & Huang, J. W. (2019). DNA: General deterministic network adaptive framework for multi-round multi-party influence maximization. 於 T. Eliassi-Rad, W. Wang, C. Cattuto, F. Provost, R. Ghani, & F. Bonchi (編輯), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018 (頁 273-282). [8631392] (Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA.2018.00038
  22. Lee, C. L., Sung, C. E., Ma, H. S., & Huang, J-W. (2019). IDR: Positive influence maximization and negative influence minimization under competitive linear threshold model. 於 Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019 (頁 501-506). [8788739] (Proceedings - IEEE International Conference on Mobile Data Management; 卷 2019-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MDM.2019.00013
  23. Lin, Y. Z., Chen, K. H., & Huang, J. W. (2019). Improving the vocabulary learning by personalized proficiency. 於 Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019 (頁 79-84). [9049583] (Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Ubi-Media.2019.00024
  24. Huang, J. W., Jaysawal, B. P., Chen, K. Y., & Wu, Y. B. (2019). Mining frequent and top-K High Utility Time Interval-based Events with Duration patterns. Knowledge and Information Systems61(3), 1331-1359. https://doi.org/10.1007/s10115-019-01333-6
  25. Huang, J-W., Ma, H. S., Chung, C. C., & Jian, Z. J. (2019). Unknown but interesting recommendation using social penetration. Soft Computing23(16), 7249-7262. https://doi.org/10.1007/s00500-018-3371-y
  26. Wang, H. Y., Chang, J. W., & Huang, J. W. (2019). User intention-based document summarization on heterogeneous sentence networks. 於 J. Gama, Y. Tong, G. Li, J. Yang, & J. Natwichai (編輯), Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Proceedings (頁 572-587). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11447 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-18579-4_34
  27. Huang, J-W., & 涂益郎 (2019). 和AI做朋友-相知篇:從0開始學AI (教材). 教育部.
  28. Soh, P. W., Chang, J. W., & Huang, J. W. (2018). Adaptive Deep Learning-Based Air Quality Prediction Model Using the Most Relevant Spatial-Temporal Relations. IEEE Access6, 38186-38199. [8392677]. https://doi.org/10.1109/ACCESS.2018.2849820
  29. Huang, J. W., Chiang, C. W., & Chang, J. W. (2018). Email security level classification of imbalanced data using artificial neural network: The real case in a world-leading enterprise. Engineering Applications of Artificial Intelligence75, 11-21. https://doi.org/10.1016/j.engappai.2018.07.010
  30. Hsin, W. C., & Huang, J. W. (2018). Multi-dependent Latent Dirichlet Allocation. 於 Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017 (頁 154-159). (Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2017.51
  31. Jaysawal, B. P., & Huang, J. W. (2018). PSP-AMS: Progressive mining of sequential patterns across multiple streams. ACM Transactions on Knowledge Discovery from Data13(1), [a5]. https://doi.org/10.1145/3281632
  32. Tseng, W. Y., Chen, K. H., & Huang, J. W. (2017). An effective object recognition system by a mobile application. 於 Ubi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications [8074154] (Ubi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UMEDIA.2017.8074154
  33. Soh, P. W., Chen, K. H., Huang, J. W., & Chu, H. J. (2017). Spatial-Temporal pattern analysis and prediction of air quality in Taiwan. 於 Ubi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications [8074094] (Ubi-Media 2017 - Proceedings of the 10th International Conference on Ubi-Media Computing and Workshops with the 4th International Workshop on Advanced E-Learning and the 1st International Workshop on Multimedia and IoT: Networks, Systems and Applications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UMEDIA.2017.8074094
  34. Yang, C. W., Jaysawal, B. P., & Huang, J. W. (2017). Subsequence search considering duration and relations of events in time interval-based events sequences. 於 Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017 (頁 293-302). (Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017; 卷 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA.2017.47
產學成果
  • 永豐商業銀行股份有限公司產學案,2021-2022
  • 申豐特用應材股份有限公司產學案,2020-2021
  • 財團法人資訊工業策進會產學案,2019
  • 微風數位時代股份有限公司產學案,2019

    (因保密協定限制,合作專案名稱不予揭露)
合作公司

公司名稱:永豐商業銀行股份有限公司

公司網站連結:https://bank.sinopac.com/sinopacBT/index.html 


公司名稱:申豐特用應材股份有限公司

公司網站連結:http://www.shinfoong.com.tw/zh-tw/


公司名稱:微風數位時代股份有限公司

公司網站連結:https://www.twincn.com/item.aspx?no=52227197 

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