Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. - Lu Zhang 050; Saiyang Na; Tianming Liu 001; Dajiang Zhu; Junzhou Huang (MICCAI (5), 2023)

MFMF: Multiple Foundation Model Fusion Networks for Whole Slide Image Classification. - Thao M. Dang; Yuzhi Guo; Hehuan Ma; Qifeng Zhou; Saiyang Na; Jean Gao; Junzhou Huang (BCB, 2024)

AlphaEpi: Enhancing B Cell Epitope Prediction with AlphaFold 3. - Feng Jiang; Yuzhi Guo; Hehuan Ma; Saiyang Na; Weizhi An; Bing Song; Yi Han; Jean Gao; Tao Wang 161; Junzhou Huang (BCB, 2024)

GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. - Feng Jiang; Yuzhi Guo; Hehuan Ma; Saiyang Na; Wenliang Zhong; Yi Han; Tao Wang 161; Junzhou Huang (Briefings Bioinform., 2024)

Segment Any Cell: A SAM-based Auto-prompting Fine-tuning Framework for Nuclei Segmentation. - Saiyang Na; Yuzhi Guo; Feng Jiang; Hehuan Ma; Junzhou Huang (CoRR, 2024)

Contrastive Pretraining for Computational Pathology with Visual-Language Models. - Qifeng Zhou; Thao M. Dang; Yuzhi Guo; Hehuan Ma; Wenliang Zhong; Saiyang Na; Jean Gao; Junzhou Huang (ISBI, 2025)

MLLM4PUE: Toward Universal Embeddings in Computational Pathology through Multimodal LLMs. - Qifeng Zhou; Thao M. Dang; Wenliang Zhong; Yuzhi Guo; Hehuan Ma; Saiyang Na; Junzhou Huang (CoRR, 2025)