Scholar
Yuhang Liu
Google Scholar ID: 5xZspvQAAAAJ
The University of Adelaide
Citations & Impact
Citations
443
H-index
11
i10-index
13
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Multiple papers accepted at top-tier venues including NeurIPS 2025 (2 papers), ICCV 2025, ICLR 2025 (2 papers), TMLR (multiple), ECCV 2024, PR 2024, etc.
- Nominated as Area Chair for ICLR 2026 by Program Chairs (Aug 2025)
- Guest Editor for the Entropy Special Issue “Rethinking Representation Learning in the Age of Large Models” (2025)
- Prolific contributions in causal inference, domain adaptation, representation learning, interpretability of LLMs, and multimodal learning
- Key focus on identifiability of latent causal models, data diversity, and representation alignment
Background
- Research Fellow at the Australian Institute for Machine Learning (AIML), The University of Adelaide
- Collaborating with Prof. Qinfeng (Javen) Shi
- Research mission: Building Kant’s Bridge through the lens of data diversity
- Core question: How to align machine-learned representations with the underlying knowledge of data, analogous to the philosophical distinction between appearance and essence
- Short-term objectives: Enhancing interpretability, controllability, and reasoning in large language models; exploring text diversity to uncover latent patterns in unstructured data; developing foundational theories linking latent variable models and representation learning via data diversity