23 citations · 25 across the 4 of their papers we have counts for
4 papers
Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference
Sk Miraj Ahmed, Xi Yu, Yunqi Li +2
Accurate biodiversity identification from large-scale field data is a foundational problem with direct impact on ecology, conservation, and environmental monitoring. In practice, t…
GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents
Xi Yu, Yang Yang, Qun Liu +3
Cellular image segmentation is essential for quantitative biology yet remains difficult due to heterogeneous modalities, morphological variability, and limited annotations. We pres…
Empirical Measurements of AI Training Power Demand on a GPU-Accelerated Node
Imran Latif, Alex C. Newkirk, Matthew R. Carbone +5
The expansion of artificial intelligence (AI) applications has driven substantial investment in computational infrastructure, especially by cloud computing providers. Quantifying t…
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
Xi Yu, Huan-Hsin Tseng, Shinjae Yoo +2
Domain Generalization (DG) aims to learn a generalizable model on the unseen target domain by only training on the multiple observed source domains. Although a variety of DG method…