Projects per year
Personal profile
Personal profile
Philip Yu is a Professor and Head of the Departement of Mathematics and Information Technology of the Education University of Hong Kong. He was the Chairperson of the Asian Region Section of the International Association of Statistical Computing, the Vice President of the Hong Kong Statistical Society, and a member of the Technical Committee of Computational Finance and Economics, IEEE Computational Intelligence Society. He is also an Associate Editor of Frontiers in Artificial Intelligence, and Digital Finance. Professor Yu obtained his Bachelor of Science degree in Mathematics (First class honor) and a PhD degree in Statistics from the University of Hong Kong.
His research interests are broad; they include AI and big data analytics, non-parametric inference, ranking methods, time series analysis, financial data analysis, risk management and statistical trading. He has a substantial volume of work on most of these topics, including two co-authored books on nonparametric statistics and more than 130 publications in conference proceedings and professional journals such as Biometrika, Journal of Royal Statistical Society Series A, Biometrics, Journal of Business and Economic Statistics, Journal of Statistical Software, Statistics and Computing, Expert Systems with Applications, and IEEE Transactions on Neural Networks and Learning Systems.
Professor Yu has been continuously engaged in performing outstanding teaching and mentoring activities, providing exceptional service to the statistics/data science profession through numerous conferences and committee work, and promoting statistical and AI literacy in Hong Kong through a number of outreach activities. He has been involved in the organizing and program committees in many international conferences. He was a member of Assessment Working Group of the Chief Executive’s Award for Teaching Excellence (2020/2021). He has many years of rich experience in various contract research/consulting projects for business, industry and public bodies including banks and insurance company, stock exchanges, hospital authority, etc.
Research interests
Data Mining and Machine Learning. AI and Big Data Analytics. Text Analytics; Preference Learning. Analysis of Discrete Choice and Ranking Data; Statistical Methods in Finance. FinTech. Statistical Trading. Quantitative Risk Management; Environmental Statistics. Ranked Set Sampling; Statistical and AI Education.
Teaching Interests
Courses Taught in 2022-23:
MTH6184 Data Mining and STEM Education (MSc(AI&EdTech) course, 2nd semester)
Professional information
External Appointments
Honorary Professor, Department of Computer Science, The University of Hong Kong, since 9/2020.
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Research and Development of Artificial Intelligence in Educational and Financial Technologies
30/06/21 → 30/06/24
Project: Research project
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Research and Development of Artificial Intelligence in Educational and Financial Technologies (RMG)
30/06/21 → 30/06/24
Project: Research project
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Contributing to the Development of Hong Kong into a Global Fintech Hub
01/01/19 → 31/12/22
Project: Research project
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AI-assisted automated scoring of picture-cued writing tasks for language assessment
ZHAO, R., ZHUANG, Y., ZOU, D., XIE, Q. & YU, L. H. P., Nov 2022, (E-pub ahead of print) In: Education and Information Technologies.Research output: Contribution to journal › Articles › peer-review
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AI-driven automated language assessment of picture writing tasks
ZHAO, R., ZHUANG, Y., ZOU, D., XIE, Q. & YU, L. H. P., Jul 2022.Research output: Contribution to conference › Papers
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AutoBERT-Zero: Evolving BERT backbone from scratch
GAO, J., XU, H., SHI, H., REN, X., YU, L. H. P., LIANG, X., JIANG, X. & LI, Z., Jun 2022, Proceedings of the 36th AAAI Conference on Artificial Intelligence. USA: AAAI press, p. 10663-10671Research output: Chapter in Book/Report/Conference proceeding › Chapters
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Bayesian robust tensor completion via CP decomposition
WANG, X., YU, L. H. P., YANG, W. & SU, J., Nov 2022, In: Pattern Recognition Letters. 163, p. 121-128Research output: Contribution to journal › Articles › peer-review
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Developing an avatar generation system for the metaverse in education
SONG, Y., YU, L. H. P., LEE, C. K. J., WU, K. & CAO, J., Jun 2022.Research output: Contribution to conference › Papers