Scholar
Jiacheng Zhang
Google Scholar ID: i9ESB0QAAAAJ
PhD Candidate@University of Melbourne
Citations & Impact
Citations
13
H-index
2
i10-index
1
Publications
3
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- - Publications: ICML 2025 'One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy' etc.
- - Awards: Optiver PhD Quant Lab Travel Scholarship (2025.07), ICML 2025 Travel Award, ICML 2025 Top Reviewer (Top 2%), Google Student Research Travel Scholarship, etc.
Research Experience
- - Research Intern @Sea AI Lab-Trustworthy AI, mentored by Dr. Tianyu Pang (2025.06 - Present)
- - Member of the TMLR group at the University of Melbourne, advised by Dr. Feng Liu and Prof. Ben Rubinstein
- - Completed an Honors thesis under the guidance of A/Prof. Tongliang Liu at the University of Sydney
Education
- - 2023.08 - Present: The University of Melbourne, Ph.D. in Engineering and IT, advised by Dr. Feng Liu and Prof. Ben Rubinstein
- - 2022.07 - 2023.07: The University of Sydney, B.Sc. in Data Science (Honours), advised by A/Prof. Tongliang Liu
- - 2019.03 - 2022.03: The University of Melbourne, B.Sc. in Data Science
Background
- Research Interests: Trustworthy machine learning; Professional Field: Safe, reliable, and ethically aligned AI systems; Bio: A Ph.D. candidate at the Faculty of Engineering and Information Technology, University of Melbourne, focusing on improving the robustness and safety of AI systems.
Miscellany
- Interests include academic services such as serving as a reviewer for conferences like ICML, NeurIPS, ICLR, AISTATS, and journals like NEUNET, IEEE TIFS, TMLR, Machine Learning, etc.
