Wenjie Wang

Ph.D. Student

School of Mathematics and Statistics
The University of Melbourne

Address: 206 OGS Building, Parkville, VIC, Australia
Email: wenjie.wang3 AT student.unimelb.edu.au

Biography

I am a Ph.D. student at the School of Mathematics and Statistics at the University of Melbourne. I received my B.E. degree in Communication Engineering from Huazhong University of Science and Technology and my M.S. degree from the same university in 2022. My research mainly focuses on kernel-based causal discovery and causal representation learning.

Education Background

Ph.D. student, 2023.08 - Present
The University of Melbourne, Australia, advised by Dr. Mingming Gong, Dr. Feng Liu, Dr. Biwei Huang and Prof. James Bailey
M.S. Information and Communication Engineering, 2019.09 - 2022.6
Huazhong University of Science and Technology, Wuhan, China, advised by Prof. Xinge You
B.E. Communication Engineering, 2015.09 - 2019.07
Huazhong University of Science and Technology, Wuhan, China

Publications

Practical Kernel Selection for Kernel-based Conditional Independence Test
Wenjie Wang, Mingming Gong, Biwei Huang, James Bailey, Bo Han, Kun Zhang and Feng Liu
Neural Information Processing Systems (NeurIPs 2025).
Optimal Kernel Choice for Score Function-based Causal Discovery
Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang and Mingming Gong
International Conference on Machine Learning (ICML 2024).
Norm-guided Adaptive Visual Embedding for Zero-Shot Sketch-Based Image Retrieval.
Wenjie Wang, Yufeng Shi, Shiming Chen, Qinmu Peng, Feng Zheng, Xinge You
International Joint Conference on Artificial Intelligence (IJCAI 2021).

Working Experience

Mohamed bin Zayed University of Artificial Intelligence, 2023.04 - 2023.08
Research Assistant
Abu Dhabi Emirate, United Arab Emirates, advised by Dr. Mingming Gong and Prof. Kun Zhang
Tencent, 2021.6 - 2021.9
Software Develop Intern
Shenzhen, Guangdong, China

Honors and Awards

Ziqiang Scholarship (HUST), 2016.
Outstanding Graduate (HUST), 2019.
First-class Academic Scholarship (HUST), 2019-2021

Academic Service

Conference and Journal Reviewer: JMLR, ICML, ICLR, NeurIPS, AISTATS, CVPR, IJCAI etc.

Tutoring Roles

MAST30034 - Applied Data Science (2024, 2025).