Dr Yunzhe (Alvin) Jia

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Postdoctoral Fellow

About Yunzhe (Alvin)

Dr. Yunzhe (Alvin) Jia received his PhD degree in computer science from the University of Melbourne in 2020, before which he received a Master degree in computer science from New York University and a Bachelor degree in Software Engineering from Xiamen University. His research interests include explainable machine learning, deep learning, frequent patterns and their applications in the finance area.

Recent Publications

  • Jia, Y., Frank, E., Pfahringer, B., Bifet, A., & Lim, N. (2021). Studying and exploiting the relationship between model accuracy and explanation quality. In N. Oliver, F. Pérez-Cruz, S. Kramer, J. Read, & J. A. Lozano (Eds.), Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2021. Lecture Notes in Computer Science Vol. 12976 (pp. 699-714). Cham: Springer. doi:10.1007/978-3-030-86520-7_43 Open Access version:

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