Peter K. Sorger — accepted AI-conference papers

2026

Virtual Multiplex Staining for Histological Images Using a Marker-Wise Conditioned Diffusion Model

Hyun-Jic Oh, Junsik Kim, Zhiyi Shi, Yichen Wu, Yu-An Chen, Peter K Sorger +2

AAAI 2026technical

Multiplex imaging is revolutionizing pathology by enabling the simultaneous visualization of multiple biomarkers within tissue samples, providing molecular-level insights that traditional hematoxylin and eosin (H&E) staining cannot provide. However, the complexity and cost of multiplex data acquisit

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2024

Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract)

Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab, Kun-Hsing Yu +2

AAAI 2024technical

Graph spectral clustering is a fundamental technique in data analysis, which utilizes eigenpairs of the Laplacian matrix to partition graph vertices into clusters. However, classical spectral clustering algorithms require eigendecomposition of the Laplacian matrix, which has cubic time complexity. I…

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