Dr. Weijia Zhang

Dr. Weijia Zhang

Lecturer, University of Newcastle

University of Newcastle

Biography

Since February 2023, I work as a Lecturer in Data Science and Statistics at the University of Newcastle (UON), Australia. Before this, I held the position of Associate Professor in the School of Computer Science and Engineering at Southeast University, China. From 2018 to 2020, I worked as a research fellow at the University of South Australia.

I completed my PhD in Information Technology and Mathematical Science at the University of South Australia in 2018, following my M.Sc. in Computer Science and Technology from Nanjing University in 2014. I also hold a Bachelor’s degree in Mathematics from Nanjing University.

My research primarily focuses on causal inference and machine learning from incomplete observations, such as causal effect estimation, survival analysis, weakly-supervised learning, and causal representation learning.

For my up-to-date list of publications, please see Google Scholar.

Interests
  • Machine Learning
  • Causal Inference
  • Survival Analysis
Education

  • PhD in Computer Science, 2018

    University of South Australia, Australia

  • MSc in Computer Science, 2014

    Nanjing University, China

  • BSc in Mathematics, 2011

    Nanjing University, China

Teaching

I am and coordinating the following courses at University of Newcastle:

STAT1060, Business Decision Making,

STAT3040: Time Series Forecasting,

STAT6160, Data Analytics for Business Intelligence.

I taught and coordinated the following courses at Southeast University, China:

Pattern Recognition, Spring 2022, course evaluation feedback ranked 1st of 93 courses.

I taught and coordinated several courses at the University of South Australia, including:

INFS 5100: Predictive Analytics, 2020.

INFS 5102: Unsupervised Methods in Analytics, 2019.

COMP 4008: Data and Web Mining, 2019-2020 (with Prof. Jiuyong Li).

Academic Services

I serve as program commitee member/editor/reviewer for the following academic venues:

Program Committee Member/Reviewer (International Conferences)

Program Committee Member (Australasian Conferences)

  • Australasian Data Science and Machine Learning Conference (AusDM): 2019-2023, 2024 (Doctoral Consortium Chair)
  • Australasian Joint Conference on Artificial Intelligence (AJCAI): 2023, 2024

Guest Editor

Invited Journal Reviewer

  • Journal of Machine Learning Research (JMLR)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Machine Learning (MLJ)
  • …