Di Zhao

I am currently a Postdoctoral Researcher at the University of Auckland. My research aims to develop machine learning systems capable of operating reliably beyond static and controlled settings. My doctoral research focused on domain generalization, studying how models can remain robust when deployed in unseen domains. My current research extends this line of work to continual learning and embodied agents, with a focus on agents that adapt to evolving tasks and interactive environments. My work is grounded in real-world applications where robustness and adaptation are critical, including animal re-identification for wildlife monitoring and interdisciplinary scientific applications.

Service

Invited Talks

• “From Domain Generalization to Embodied Intelligence” — School of Computer and Information Technology, Shanxi University, 2026

Teaching

• COMPSCI 764 — Deep Learning (2025, 2026)
• COMPSCI 761 — Advanced Topics in Artificial Intelligence (2026)

Selected Publications

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