Zesheng Ye

Greetings. I am currently a Postdoctoral Research Fellow at Trustworthy Machine Learning and Reasoning Group, School of Computing and Information Systems, The University of Melbourne, working with Dr. Feng Liu.

I research machine learning models that are

• robust against distribution shifts
• efficient during deployment and adaptation for new tasks
• safe in terms of adversarial attack and privacy breach

given the pressing needs for trustworthy machine-learning systems, in contexts of powerful multi-modal Foundation Models emerging nowadays.

I obtained my Ph.D. and Master’s degrees from The University of New South Wales, feeling fortunate to be supervised by Prof. Lina Yao, where I studied uncertainty-aware and sample-efficient human-centric understanding with limited well-annotated data. Our research outcomes spanned multiple real-world application, such as Recommender Systems, Brain-Computer Interface, and Human Movement Predictions. I did my undergraduate study at Southwest Jiaotong University.