Scholar
Lequan Lin
Google Scholar ID: UR3NoxIAAAAJ
PhD Candidate, University of Sydney
machine learning
large language models
generative models
graph neural networks
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Citations & Impact
All-time
Citations
280
H-index
7
i10-index
7
Publications
12
Co-authors
5
list available
Publications
10 items
The Ball and the Box: Two Geometries of Computation in Superposition
2026
Cited
0
SupportCal: Label-Free Calibration of Post-Trained LLMs via Reference Support and Corroboration
2026
Cited
0
Learning Manifold and Itô Dynamics with Branched Neural Rough Differential Equations
2026
Cited
0
S$^3$GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning
2026
Cited
0
LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection
2026
Cited
0
Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations
arXiv.org · 2026
Cited
1
OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs
2025
Cited
0
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
2025
Cited
0
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Co-authors
5 total
Professor Junbin Gao
Discipline of Business Analytics in Business School, The University of Sydney
Andi Han
University of Sydney, RIKEN AIP
Yi Guo
Western Sydney University
Ming Li
Professor, Zhejiang Normal University
Zhiyong Wang
The University of Sydney
