富銘書院(Fumming Academy)

富銘書院（Fumming Academy）

https://fumming.io

富銘書院@Substack

https://fumming.substack.com

黃福銘博士 (Dr. Angus F.M. Huang)

現職：協理，創新實驗部主管，將來商業銀行，2025/12～
Associate Vice President, Head of Innovation Lab Department, NEXT Bank.
https://www.nextbank.com.tw/
信箱：fumming.io@gmail.com

感覺無法被複製，但是數字可以傳承 ~

數據分析 - Data Analytics
數據智慧 - Data Wisdom
數據藝術 - Data Art
金融科技 - Financial Technology
行銷科技 - Marketing Technology

圖靈洞察實驗室

https://www.youtube.com/@fmh888

就這樣懂AI

https://medium.com/if-lab-ai

社群媒體行銷洞察(SiMi)

http://simi.fumming.io

寵物認養智慧(PiPi)

http://pipi.fumming.io

= Academic / Industry Positions =

協理，創新實驗部主管，將來商業銀行，2025/12～迄今
- Associate Vice President, Head of Innovation Lab Department, Next Bank.
- https://www.nextbank.com.tw/
副總經理，理財機器人研發，富蘭克林金融科技股份有限公司，2025/6～2025/9
- Vice President, Robo-Advisor Research and Development, Franklin Templeton Financial Technology Inc.
- https://www.franklin.com.tw/
副總經理，商業數據分析，富蘭克林證券投資顧問股份有限公司，2023/2～2025/6
- Vice President, Business Analytics, Franklin Templeton Securities Investment Consulting (SinoAm) Inc.
- https://www.franklintempleton.com/
特聘顧問，商業數據分析，富蘭克林金融科技股份有限公司，2021～2023
- Appointed Consultant, Business Analytics, Franklin Templeton Financial Technology Inc.
助理教授，東吳大學資料科學系，2016/8～2023/1
- Assistant Professor, Data Science Department, Soochow University.
- https://www.scu.edu.tw/
博士後研究員，中央研究院，資訊科技創新研究中心，2015/8～2016/7
- Postdoctoral Fellow, Research Center for Information Technology Innovation (CITI), Academia Sinica.
- https://www.citi.sinica.edu.tw/
博士後研究員，中央研究院，資訊科學研究所，2010/8～2015/7
- Postdoctoral Fellow, Institute of Information Science (IIS), Academia Sinica
- https://www.iis.sinica.edu.tw/
Google AI Lecturer，Explore ML Academy Program，2019/1～2022/12
- https://cloud.google.com/learn/training/machinelearning-ai
技術顧問，國泰世紀產物保險股份有限公司，2019/1～2020/12
- Technical Consultant, Cathay Century Insurance Co., Ltd.
課程講師，康橋國際學校，大數據分析課程，2018/3～2019/8
- Instructor, Big Data Analytics, Kang Chiao International School.
- https://www.kcis.ntpc.edu.tw/
領域顧問，經濟部工業局，人工智慧與數據應用，2018/1～2019/12
- Domain Consultant, Industrial Development Bureau, Ministry of Economic Affairs.
訪問學者，中央研究院資訊科學研究所，2017/7～2017/8
- Visiting Scholar, Institute of Information Science (IIS), Academia Sinica
兼任助理教授，中國文化大學，資訊管理學系，2015/8～2016/7
- Adjunct Assistant Professor, Department of Information Management, Chinese Culture University
- https://www.pccu.edu.tw/
兼任講師，陸軍專科學校，電腦與通訊工程科，2009/9～2010/6
- Adjunct Lecturer, Department ofComputer & Communication Engineering, Army Academy R.O.C.
- https://www.aaroc.edu.tw/

= Education =

博士，資訊工程學系，國立中央大學，中華民國99年。
- Ph.D. Department of Computer Science and Information Engineering, National Central University (2010)
碩士，網路學習科技研究所，國立中央大學，中華民國94年。
- M.S. Graduate Institute of Network Learning Technology, National Central University (2005)
學士，資訊管理學系，元智大學，中華民國92年。
- B.S. Department of Information Management, Yuan Ze University (2003)

= Biography =

Dr. Angus F.M. Huang is the Vice President at Management Department of Franklin Templeton Securities Investment Consulting (SinoAm) Inc. Before join the industry, he was an assistant professor at the School of Big Data Management in Soochow University in Taiwan. His research areas are Data Governance, Business Re-engineering, Robo-Advisor, Artificial Intelligence, and Visual Analytics. His research specializes in modeling and mining user context information, and he is devoted to the theories, problems and applications of these areas. He interests in improving students’ and teachers’ teaching and learning with advanced information technology; and making human life more convenient and smarter. In his work he mixes qualitative observations with quantitative data analysis to gain deep insights from user behaviors, data features, and domain knowledge. Subsequently, he exploits the gained knowledge with engineering techniques to improve the Business Intelligence and Urban Computing domains. In his teaching he devoted to inspiring and fostering students’ innovation and entrepreneurship to help them make a real impact.

= Awards =

2021年，東吳大學熱心導師獎。
2020年，東吳大學巨量資料管理學院文華獎學金教師組。
2018年，IBM Faculty Awards - Cognitive Computing area。

= 指導學生競賽獲獎紀錄 =

2022，全國大專校院智慧創新暨跨域整合創作競賽，智慧機器組佳作獎，隊員：王銓、梁崴、吳嘉恩，指導教授：黃福銘。
2019，IEEE Big Data Conference - BigData Cup Challenges：Suspicious Network Event Recognition，The 16th Place and Excellent Solution Paper Publication. 隊員：楊騏瑋、戴曉騏、楊涓、黃任杰、廖昱翰(國貿系)，指導教授：黃福銘。
2019，全國大專院校AI金融科技創新創意大賽，創意組佳作獎，隊員：黃子馨(國貿系)、吳詠琳(會計系)、黃煒森(財精系)、秦李欣(會計系)，指導教授：黃福銘。
2018，華南金控第三屆金融科技創新競賽，創新技術實證MBA組最佳潛力獎。隊員：鍾崴亦、郭珮柔、賴建郡、李瀚宇、劉鎧瑄，業師：楊涓、黃昭元、彭鈺湄，指導教授：黃福銘。
2017，華南金控第二屆金融科技創新競賽，華南 M.B.A.挑戰獎 - AI組，隊員：楊涓、劉聿欣、李姿儀、蔡政宏，指導教授：黃福銘。
2017，HackNTU 臺大黑客松，大會最佳DEMO獎，隊員：李昱萱、楊涓、劉聿欣、李姿儀，指導教授：黃福銘。

= 產學合作計畫 =

2022/08/01~2023/07/31，東吳大學推動人工智慧運用計畫-戴氏基金會2023年，整合遊戲玩家紀錄及改良式長短期記憶模型深度學習之線上訂閱制遊戲客戶流失預測，111160605-0012。
2022/07/01~2023/06/30，富蘭克林證券投資顧問股份有限公司，2022富蘭克林商業分析人才培訓計畫，SCU1110500578-054。
2022/07/01~2022/12/31，富蘭克林證券投資顧問股份有限公司，富蘭克林境外基金競品解析研發計畫，SCU1110500579-055。
2021/08/01~2022/07/31，東吳大學人工智慧應用研究中心，融合時空因素與編碼解碼特徵強化影片異常檢測之研究
2021/07/01~2022/06/30，富蘭克林證券投資顧問股份有限公司，富蘭克林視覺化商業智慧人才培訓計畫
2021/05/01~2021/10/31，富蘭克林證券投資顧問股份有限公司，富蘭克林基金網路輿情戰情室網站建置計畫
2021/05/01~2021/10/31，國泰世紀產物保險股份有限公司，限定要保書款式之客戶簽名與塗改圖樣擷取系統之研發
2020/11/01~2020/12/31，國泰世紀產物保險股份有限公司，車籍資料影像辨識系統優化，SCU1090500818-006
2020/08/01~2021/07/31，東吳大學人工智慧應用研究中心，基於長短期記憶模型與卷積神經網絡之空污來源地點推估
2020/04/06~2020/06/15，國泰世紀產物保險股份有限公司，以深度學習技術為基礎之要保書影像辨識系統研發，SCU1090500353-036
2019/10/01~2019/12/31，國泰世紀產物保險股份有限公司，要保書影像辨識系統研發，SCU1080500870-008
2018/07/01~2018/12/31，IBM 國際商業機器股份有限公司，基於臉部表情辨識之投資風格與學習障礙辨識
2018/04/01~2018/09/30，英商即時利尼克斯有限公司台灣分公司，ThizPass即時活動通智慧型手機應用程式之研發

= 政府部會計畫 =

2021/08/01~2022/07/31，教育部，教學實踐研究計畫，運用產業實務儀表板系統與專題式學習法以提升學生資料科學之資料視覺化分析技能，PSK1100648。https://tpr.moe.edu.tw/
2020/07/01~2021/09/31，科技部，前沿人工智慧科研成果轉化：轉譯、呈現、與評估－總計畫(含子計畫一)：人工智慧成果影響評估與轉譯及人工智慧知識圖譜之生成(3/3)，MOST 109-2514-S-031-001。https://education.nstm.gov.tw/aibm/index.html
2019/11/01~2019/12/31中央氣象局，中央氣象局網路氣象輿情分析服務案，SCU1080501076-018
2019/07/01~2020/06/30，科技部，前沿人工智慧科研成果轉化：轉譯、呈現、與評估－子計畫一：人工智慧成果影響評估與轉譯及人工智慧知識圖譜之生成(2/3)，MOST 108-2514-S-031-001。https://education.nstm.gov.tw/aibm/index.html
2018/07/01~2019/06/30，科技部，前沿人工智慧科研成果轉化：轉譯、呈現、與評估－總計畫(含子計畫一)：人工智慧成果影響評估與轉譯及人工智慧知識圖譜之生成(1/3)，MOST 107-2514-S-031-001。https://education.nstm.gov.tw/aibm/index.html
2018/04/01~2020/03/31，科技部，巨量資料分析與人工智慧：實現群眾募資風險評估，MOST 107-2218-E-031-001-MY2
2016/10/22~2016/10/23，科技部，國內舉辦國際學術研討會，2016全球大數據國際會議，MOST 105-2916-I-031-005-A

= 政府單位計畫經歷（擔任計畫共同主持人）=

2020- 深度學習與大數據分析:實現PM2.5濃度之推估、預測與預警(3/3)，科技部，主持人：陳孟彰(中央研究院資訊科學研究所)， 2020/01/01~2020/12/31，MOST 109-2119-M-001-010 -A。
2019- 深度學習與大數據分析:實現PM2.5濃度之推估、預測與預警(2/3)，科技部，主持人：陳孟彰(中央研究院資訊科學研究所)， 2019/01/01~2019/12/31，MOST 108-2119-M-001-009 -A。
2017- 深度學習與大數據分析:實現PM2.5濃度之推估、預測與預警(1/3)，科技部，主持人：陳孟彰(中央研究院資訊科學研究所)， 2017/12/01~2018/12/31，MOST 106-3114-M-001-002 -A。

= 指導科技部大專生計畫 =

111年度，整合神經網路協同過濾與梯度增強決策樹強化服飾推薦系統之品質，學生：王銓，2022/07/01 ~ 2023/02/28，111-2813-C-031-053-E。
109年度，整合異質社群平台資訊強化餐廳推薦系統之研發，學生：鄭安傑，2020/07/01 ~ 2021/02/28，109-2813-C-031-010-E。
107年度，以卷積神經網絡為基礎之空污來源地點推估，學生：黃奕鳴，2018/07/01 ~ 2019/02/28，MOST 107-2813-C-031-079-E。
106年度，整合異質公開資料提升機車停車安全性分析-以台北市為例，學生：林書懷，2017/07/01 ~ 2018/02/28，MOST 106-2813-C-031-048-E。

= 教育部深耕計畫經歷（擔任計畫共同主持人）=

2019- 東吳大學108年度教育部高教深耕計畫，分項計畫：深耕學院優勢、培養趨勢兀型人才計畫，子計畫：深化跨領域學群課程規劃以奠基巨量資料解析能力培養與就業保障，教育部 108A600，2019/01/01~2019/12/31。獲得東吳大學計畫執行成效優良獎。
2018- 東吳大學107年度教育部高教深耕計畫，分項計畫：深耕學院優勢、培養趨勢兀型人才計畫，子計畫：深化跨領域學群課程規劃以奠基巨量資料解析能力培養與就業保障，教育部 107A600，2018/01/01~2018/12/31。獲得東吳大學計畫執行成效優良獎。
2017- 東吳大學教學卓越計畫; C『課程分流、學用合一』分項計畫; 培育跨領域之巨量資料分析與應用人才子計畫，教育部 106C405，2017/01/01~2017/12/31。獲得東吳大學計畫執行成效優良獎。
2017- 東吳大學教學卓越計畫; NEW『高教深耕、創新教學』計畫; 大數據時代的資料實驗室子計畫，教育部 106N104，2017/01/01~2017/12/31。獲得東吳大學計畫執行成效優良獎。

= 擔任研討會組織成員 =

Big Data for e-Business Track Chairs. IEEE International Conference on E-Business and Engineering (ICEBE), 2016～迄今。
Program Committee, Taiwan Conference on Software Engineering (TCSE), 2016～迄今。
Program Committee, Taiwan E-Learning Forum (TWELF2020), 2020。
General Chairs. 2018 Conference on Artificial Intelligence and Data Science Application, Taipei, Taiwan。
Program Committee, 臺灣網際網路研討會 (TANET), 2018。
General Chairs. R Taiwan 2017 Conference, Taipei, Taiwan。
Program Committee, The 8th Global Chinese Conference on Inquiry Learning : Innovations and Applications (GCCIL), 2017。
General Chairs. 2016 International Conference on Big Data, Taipei, Taiwan。

= Journal Publication=

Yang, S.J.H., Zhang, J., & Fu-Ming Huang (2008). Applying Web Page Adaptation Technique to the Augmentation of Mobile Learning. Journal of Research and Practice in Technology Enhanced Learning, 3(3), 253-273. (supported by NSC-95-2520-S-008-006-MY3 and NSC-96-2628-S-008-008-MY3)
Yang, S.J.H., Zhang, J., Tsai, J.J.P., & Fu-Ming Huang (2009). SOA-based Content Delivery Model for Mobile Internet Navigation. International Journal of Artificial Intelligence Tools, 18(1), 141-161. (SCIE, EI). (supported by NSC95-2520-S-008-006-MY3 and NSC 96-2628-S-008-008-MY3)
Fu-Ming Huang, & Yang, S.J.H. (2009). Situational Mashups for Ubiquitous Learning. International Journal on Digital Learning Technology, 1(3), 140-160. (supported by NSC96-2628-S008-008-MY3)
Fu-Ming Huang, Ci-Wei Lan, & Yang, S.J.H. (2009). An optimal QoS-based Web services selection scheme. Information Sciences, 179(19), 3309-3322. (SCI, IF: 3.969). (supported by NSC95-2520-S-008-006-MY3 and NSC 96-2628-S-008-008-MY3)
Yang, S.J.H., Zhang, J., & Fu-Ming Huang (2009). Model, Properties, and Applications of Context-Aware Web Services. Machine Learning in Cyber Trust: Reliability, Security, Privacy, ISBN 9780387887340, March, 2009, Springer.
Fu-Ming Huang, Yang, S.J.H., Hwang, G.-J. (2010). Situational language teaching in ubiquitous learning environments. Knowledge management and e-Learning, 2(3), 312-327. (supported by NSC 98-2511-S-008-006-MY3 and NSC 98-2511-S-008-007-MY3)
Fu-Ming Huang, Yang, S.J.H., Wang, M. & Tsai, J.J.P. (2010). Improving Fuzzy Knowledge Integration with Particle Swarm Optimization. Expert Systems with Applications, 37(12), 8770-8783. (SCI, IF: 2.254). (supported by NSC95-2520-S-008-006-MY3 and NSC96-2628-S-008-008-MY3)
Fu-Ming Huang, Yang, S.J.H., W.T.C., & Liao, S.S. (2012). A study of user’s acceptance on situational mashups in situational language teaching. British Journal of Educational Technology, 43(1), 52-61, (SSCI, IF: 1.394). (supported by NSC 98-2511-S-008-006-MY3 and NSC 98-2511-S-008-007-MY)
Fu-Ming Huang, John T.H. Wu, Stephen J.H. Yang, & Wu-Yuin Hwang. (2012). The success of eportfolio-based programming learning style diagnosis: exploring the role of a novel heuristic fuzzy knowledge fusion. Expert Systems with Applications, 39(10), 8698-8706. (SCI, IF: 2.254). (supported by NSC98-2511-S-008-006-MY3, NSC98-2511-S-008-007-MY3, NSC99-2511-S-008-006-MY3)
Su, AddisonY.S., Huang, ChesterS.J., Ding, T.-J., Fu-Ming Huang, Yang, Stephen J.H., & Hsieh, Y.-Z. (2014). Collaborative Search Research in College Computer Courses. Collaboration Technologies and Social Computing, ISBN 9783662446508, Springer Berlin Heidelberg.

= Conference Publication =

J.H. Yang, Fu-Ming Huang, & B.C.W. Lan. Based on Contextual Profiles to Verify Semantic Web Services. The First Workshop on Intelligent Web Technologies. September, 2004.
J.H. Yang, A.C.N. Chang, S.C. Hsiao, Z.C.C. Hu, & Fu-Ming Huang. A Web Based PBL Environment for Medicine Education. The Sixth Internet Application and Development. 2005.
J.H. Yang, Fu-Ming Huang, & B.C.W. Lan. Intelligent Search Engine with Semantic Web Technology. Mobile Computing Symposium of 2005 National Computer Symposium (NCS 2005). December, 2005.
J.H. Yang, Fu-Ming Huang, R. Chen, S.S. Tseng, & Y.S. Shen. Context Model and Context Acquisition for Ubiquitous Content Access in U-Learning Environments. IEEE International Workshop on Context Aware Ubiquitous Learning (CAUL 2006). June, 2006.
Fu-Ming Huang, Z. Hu, C. Huang, R. Chen, A. Su, & S.J.H. Yang. Ubiquitous Learning Environments for Peer-to-Peer Collaborative Learning. Ubiquitous and Mobile Learning Workshop. April, 2006.
C.S. Chen, C.W.S. Huang, Fu-Ming Huang, & S.J.H. Yang. A Context Oriented Content Adaptation Mechanism. Ubiquitous and Mobile Learning Workshop. April, 2006.
J.H. Yang, Fu-Ming Huang, B. Lan, & I.Y.L. Chen. Context Aware SOA for Mobile Learning Activity. International Conference on SCORM. January, 2006.
Fu-Ming Huang, I.Y.L. Chen, & S.J.H. Yang. Ubiquitous Learning Services: Context Model and Context-Aware Applications. The Mobile and Ubiquitous Technologies Enhanced Learning Conference (UbiLearn 2008). May 2007.
Fu-Ming Huang, S.B. Huang, E.Y.F. Lee, & Yang, S.J.H. Improving End-User Programming with Situational Mashups in Web 2.0 Environment. IEEE International Symposium on Service-Oriented System Engineering (SOSE 2008). December, 2008.
Yang, S.J.H., Jia Zhang, Fu-Ming Huang, Tsai, J.J.P., & Yu, P.S. A Context-driven Content Adaptation Planner for Improving Mobile Internet Accessibility. International Conference on Web Services (ICWS 2008). September, 2008. (EI).
Fu-Ming Huang, Lan, C.W., Yang, S.J.H. QoS-based Learning Services Composition for Ubiquitous Learning. IEEE International Conference on Sensor Networks, Ubiquitous and Trustworthy Computing (SUTC 2008). June, 2008.
C. Huang, Fu-Ming Huang, & S.J.H. Yang. Apply Friend-Relation to Enhance Learning Community Search within Social Network Service Platform. The Mobile and Ubiquitous Technologies Enhanced Learning Conference (UbiLearn 2008). May, 2008.
W. Lan, R. Chen, A. Su, Fu-Ming Huang, S. Yang & J.-Y. Chung. A Multiple Objectives Optimization Approach for QoS-Based Web Services Compositions. The 6th IEEE International Conference on e-Business Engineering (ICEBE). 2009.
Wilson T.C. Yang, Alex W.Y. Liao, Fu-Ming Huang, & Stephen J.H. Yang. Using Concept Maps for Learning Disability Diagnosis and Learning Prescription Generation for Programming Courses. Technology Enhanced Learning Conference 2009 (TELearn 2009). October, 2009.
Liao, A.W.Y., Yang, W.T.C., Fu-Ming Huang, & Yang, S.J.H. Rule-based expert system survey optimization adaptive test bank: Take studies the programming language design curriculum as the example. Taiwan E-Learning Forum 2009 (TWELF 2009). September, 2009.
Chu, J.C.Y., Liao, A.W.Y., Yang, T.C., Fu-Ming Huang, & Yang, S.J.H. Learning Styles Diagnosis and Teaching Style-based Assessment in Programming Design Teaching and Learning. The 13th Global Chinese Conference on Computers in Education (GCCCE 2009). 25 May 2009, Taipei, Taiwan.
Lan, C.W., Chen, Y.H., Grandison, T., Fu-Ming Huang, Chung, J.Y., & Tseng, L.F. (2011). A Privacy Reinforcement Approach against De-identified Dataset. The 7th International Workshop on Service-Oriented Applications, Integration and Collaboration (SOAIC) in conjunction with The 8th IEEE International Conference on e-Business Engineering (ICEBE). 370-375, 19 Oct. 2011, Beijing, China.
C. Teng, Fu-Ming Huang, Y.H. Huang, & M.C. Chen. PLASH: An ESB-based platform for developing and deploying location aware services with SOC concepts. The 8th International Workshop on Service-Oriented Applications, Integration and Collaboration (SOAIC) in conjunction with The 9th IEEE International Conference on e-Business Engineering (ICEBE). 344-349, 9 Sept. 2012, Hangzhou, China
Fu-Ming Huang, Chen-Yeou Yu, Chiou Wen-Chi, & Meng-Chang Chen. In-depth and Ubiquitous Polling by Using Smart Locating and Messaging. The 7th conference of International Forum on Urbanism (IFoU). October, 2013, Tainan, Taiwan.
Fu-Ming Huang, Po-Ching Liu, & Meng-Chang Chen. Ubiquitous Polling for Adaptive Questionnaire Survey in Fieldworks. Pacific Neighborhood Consortium (PNC) Annual Conference and Joint Meetings. October, 2014, Taipei, Taiwan.
Fu-Ming Huang, Yu Hsiang Huang, Christopher Szu, Addison Y.S. Su, Meng Chang Chen, & Yeali S. Sun. A study of A Life Logging Smartphone App and Its Power Consumption Observation in Location-based Service Scenario. The IEEE International Conference on Mobile Services. Special Track – Mobile Application Quality (IEEE MS-MAQ), June, 2015, New York, USA.
Kun-Ji Lui, Addison Y.S. Su, Chiu-Nan Su, & Fu-Ming Huang. Information Password Recovery with GPU. The 49th Annual International Carnahan Conference on Security Technology (ICCST). September, 2015, Taipei, Taiwan.
Lung S.C.C.; Wang D.W., Chen S.W., Chen L.J., Chen M.C., Tu S.H., Liao P.S., Lin C.Y., Wang W.C., Huang A.F.M. (2015) Heat-Stress Vulnerability Assessment with Monitoring, Modeling, Social Survey, and E-science for Health Adaptation. The 26th International Union of Geodesy and Geophysics (IUGG) General Assembly, Prague, Czech Republic, June, 2015.
Lung S.C.C.; Wang D.W., Tu S.H., Liao P.S., Chen M.C., Chen S.W., Chen L.J., Lin C.Y., Wang W.C., Huang A.F.M. Community-Based Heat-Stress Vulnerability Assessment with Monitoring, Social Survey, and Crowd-sourcing Technology for Health Adaptation. The Common Future under Climate Change Conference, Paris, France, July, 2015.
Lung S.C.C.; Lin C.Y., Wang W.C., Wang D.W., Chen S.W., Chen L.J., Chen M.C., Tu S.H., Liao P.S., Huang A.F.M. Heat-Stress Vulnerability Assessment to Enhance Urban Health Resilience under Climate Change. The International Symposium on Co-design for Urbanization in China and Asia-Pacific Region, October, 2015.
Mick Chang-Heng Lin, Fu-Ming Huang, Po-Ching Liu, Yu-Hsiang Huang and You-Shan Chung. Dijkstra-Based Selection for Parallel Multi-lanes Map-Matching and An Actual Path Tagging System. The 8th Asian Conference on Intelligent Information and Database Systems (ACIIDS2016), March, 2016, Da Nang, Vietnam.
C. Chen, Angus F.M. Huang*, Y. Liu and D. Wu, "Artificial Intelligence and Mobile Phone Sensing Based User Activity Recognition," 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), Xi'an, 2018, pp. 164-171. doi: 10.1109/ICEBE.2018.00034. [ https://ieeexplore.ieee.org/document/8592645 ]
P. Yu, Angus F.M. Huang*, C. Yang, Y. Liu, Z. Li and C. Tsai, "Prediction of Crowdfunding Project Success with Deep Learning," 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), Xi'an, 2018, pp. 1-8. (Best Paper Award). doi: 10.1109/ICEBE.2018.00012. [ https://ieeexplore.ieee.org/document/8592623 ]
Angus F.M. Huang*, Y. Chi-Wei, H. Tai, Y. Chuan, J. J. C. Huang and Y. Liao, "Suspicious Network Event Recognition Using Modified Stacking Ensemble Machine Learning," 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 2019, pp. 5873-5880. doi: 10.1109/BigData47090.2019.9006391. [ https://ieeexplore.ieee.org/document/9006391 ]
盧伯霖、楊騏瑋、謝馨頤、劉謦瑄、黃福銘*，以機器學習模型為基礎之YouTube影片分享網站熱門榜單影片觀看量預測，The International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2020)，Taipei，Taiwan，Dec. 3-5，2020。