Dr. Weijia Zhang

Dr. Weijia Zhang

Lecturer, University of Newcastle

University of Newcastle

Biography

From February 2023, I joined the University of Newcastle, Australia as a Lecturer in Data Science and Statistics. Before that, I was an Associate Professor with the School of Computer Science and Engineering, Southeast University, China. I have also worked as a research fellow at the University of South Australia from 2018 to 2020.

I received my Ph.D. degree from the School of Information Technology and Mathematical Science, University of South Australia, in 2018 and the M.Sc. degree from the Department of Computer Science and Technology, Nanjing University, in 2014. My undergraduate study was also completed at Nanjing University, but in the School of Mathematics.

Currently, my main research interests are causal inference and machine learning, including topics on causal effect estimation, weakly-supervised learning, and causal representation learning.

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

I (try to) practice Slow Science.

NEWS:: We are co-organising the Australasian Data Science and Machine Learning Conference (AusDM'24) and invite you to submit your work! For more information, please see our Call For Papers

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,

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 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 (International Conferences)

  • AAAI Conference on Artificial Intelligence (AAAI): 2021 (Top Reviewer Award), 2022, 2023
  • International Conference on Artificial Intelligence and Statistics (AISTATS): 2024
  • Conference on Causal Learning and Reasoning (CLeaR): 2022, 2023, 2024
  • European Conference on Artificial Intelligence (ECAI): 2020, 2022, 2023, 2024
  • International Conference on Learning Representations (ICLR): 2024
  • International Conference on Machine Learning (ICML): 2024
  • International Joint Conference on Artificial Intelligence (IJCAI): 2020, 2022, 2023, 2024
  • Conference on Neural Information Processing Systems (NeurIPS): 2023
  • Conference on Uncertainty in Artificial Intelligence (UAI): 2022 (Top Reviewer Award), 2023, 2024

Program Committee (Australasian Conferences)

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

Review Editor

Guest Editor

Invited Journal Reviewer

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