Jiacheng Zhang

About Me

Hi there, I am Jiacheng Zhang, a Ph.D. student at Trustworthy Machine Learning and Reasoning Group (TMLR) in the Faculty of Engineering and Information Technology, the University of Melbourne, advised by Prof. Feng Liu and Prof. Ben Rubinstein.

My research interest lies in trustworthy machine learning with unsafe data. Currently, I am focusing on defending against adversarial attacks.

Please feel free to email me for research, collaborations, or a casual chat.

Educations

• 2023.08 - present, The Unversity of Melbourne (UoM), Ph.D. in Engineering and IT, advised by Prof. Feng Liu and Prof. Ben Rubinstein.
• 2022.07 - 2023.07, The University of Sydney (USYD), B.Sc. in Data Science (Honours), advised by Prof. Tongliang Liu.
• 2019.03 - 2021.12, The University of Melbourne (UoM), B.Sc. in Data Science.

Honours & Awards

• 2023.07, Amazon Best UG Senior Project Award of Coding Fest 2023.
• 2023.07, University Medal of USYD (Top 1 in Major, Highest Honour for Undergraduates).
• 2023.06, Melbourne Research Scholarship of UoM.
• 2021.11, Vacation Research Scholarship of UoM.

Publications

Services

Conference Reviewers

• Conference on Neural Information Processing Systems (NeurIPS) 2024.
• International Conference on Machine Learning (ICML) 2024.
• International Conference on Learning Representation (ICLR) 2024.

Journal Reviewers

• Neural Networks.

Teaching

• Teaching Assistant for COMP20008: Elements of Data Processing (2024 S1).

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