About me: 

I am a Research Fellow at Australian Institute for Machine Learning (AIML), part of The University of Adelaide, working with Prof. Qinfeng (Javen) Shi.

Research Mission: 

Long-term Objective: 

Building Kant’s Bridge Through the Lens of Data Diversity. At the heart of my research lies a foundational question: How can we align machine-learned representations with the underlying knowledge of data? This challenge parallels the classical philosophical distinction between appearance and essence. In response, I aim to develop theoretically grounded and practically effective AI systems that primarily leverage data diversity and advanced inference methodologies to achieve the underlying patterns within data distributions.

Short-term Objectives: 

• Empower Interpretability, Controllability, and Reasoning in Large Language Models.

• Explore Text Diversity to Guide the Discovery of Latent Patterns within Unstructured Data.

• Develop Fundamental Theories Linking Latent Variable Models and Representation Learning via Data Diversity,.

Contact me:  yuhang.liu01@adelaide.edu.au