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Kuan Pang

3 accepted papers

2026

Proteo-R1: Thinking Foundation Models for De Novo Protein Binder Design

ICML 2026poster

Recent advances in generative diffusion and flow-matching models have revolutionized molecular design, enabling the creation of novel proteins, small molecules, and RNA sequences with unprecedented fidelity. Yet, these models remain intuitive rather than intelligent—they generate without reasoning. …

Cited by 0SourceScholar
2023

MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition

CVPR 2023highlight

Accurate segmentation of cellular images remains an elusive task due to the intrinsic variability in morphology of biological structures. Complete manual segmentation is unfeasible for large datasets, and while supervised methods have been proposed to automate segmentation, they often rely on manual…

2023

Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning

NeurIPS 2023poster

Histology imaging is an important tool in medical diagnosis and research, enabling the examination of tissue structure and composition at the microscopic level. Understanding the underlying molecular mechanisms of tissue architecture is critical in uncovering disease mechanisms and developing effect…