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 2018-2020.

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 refer to my Google Scholar profile.

For potential students and visiting scholars, please reach out if you are interested in working in a related research area. Competitive scholarships are available for PhD candidates, please refer to the information here and scholarships for students from China.

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

Program Committee Member (CORE A/A International Conferences)*

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

Program Committee Member (Australiasia Conferences)

  • AusDM: 2019, 2020, 2021, 2022, 2023
  • AJCAI: 2023

Guest Editor

Invited Journal Reviewer

  • Big Data
  • Bioinformatics
  • BMC Medical Informatics and Decision Making
  • Biometrics
  • Frontiers in Oncology
  • IEEE Transactions on Systems, Man & Cybernetics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Information Processing & Management
  • International Journal of Data Science and Analytics
  • Journal of Computer Science and Technology
  • Kowledge Based Systems
  • Machine Learning
  • PLOS One
  • …