Author

Tianhong Li

Massachusetts Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:diffusion model· 1 Assay:imaging· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alejandro LozanoiD· 1 shared Chenyu WangiD· 1 shared Daisy Yi DingiD· 1 shared Emma K. LundbergiD· 1 shared Guowei ZhouiD· 1 shared Hao WangiD· 1 shared He Li· 1 shared James Burgess· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Alejandro LozanoORCID

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2 papers

Recent·Most cited

ProteinSage: From implicit learning to explicit structural constraints for efficient protein language modeling

Lingdong Shen, Linlin Chao, Tang Liu, Qi Liu, Guowei Zhou, Hao Wang, Xinyue Dong, Tianhong Li, Xiaoming Zhang, jinren Ni

ProteinSage uses structural constraints during pretraining to improve protein language modeling with less data, achieving competitive performance on structure-aware tasks.

bioRxiv · Sep 9, 2026 · PreprintBioinformatics

CellFluxV2: An Image Generative Foundation Model for Virtual Cell Modeling

Yuhui Zhang, Yuchang Su, Zoe Wefers, Shiye Su, He Li, Tianhong Li, Chenyu Wang, James Burgess, Alejandro Lozano, Linqi Zhou, Daisy Yi Ding, Jeffrey Nirschl, Emma K. Lundberg, Serena Y. Yeung

CellFluxV2 is an image-generative model that predicts cell morphology changes under perturbations, achieving higher image fidelity than baselines and enabling batch-effect correction and cell-state interpolation.

bioRxiv · Jan 20, 2026 · PreprintBioinformatics