Author

Haochen Wang

Yale University

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

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Biology Disciplines

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Bioinformatics· 2 Cell Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Organism:human· 2 Research Focus:perturbation response prediction· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Qiao LiuiD· 3 shared Rui JiangiD· 2 shared Zijing GaoiD· 2 shared Chao ZhangiD· 1 shared Charming Zhang· 1 shared Fanju MengiD· 1 shared Jianuo HeiD· 1 shared Jinlong BiiD· 1 shared

Activity by Year

2024-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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3 shared papersBioinformatics

Qiao LiuORCID

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Author profile →

4 papers

Recent·Most cited

scMTG reconstructs single-cell temporal dynamics with Markov transition generators

Xuejian Cui, Haochen Wang, Zijing Gao, Rui Jiang, Wing Hung Wong, Qiao Liu

scMTG reconstructs single-cell temporal dynamics from unpaired time-series data by learning cell representations and transitions, outperforming existing methods in interpolation and transition matrix inference.

bioRxiv · Oct 14, 2026 · PreprintBioinformatics

MultiFlow: coupled flow matching for predicting single-cell multiomic perturbation responses in unseen cellular contexts

Haochen Wang, Charming Zhang, Mengran Zhang, Xiaoming Nie, Qiao Liu

MultiFlow predicts single-cell multiomic perturbation responses by jointly modeling gene expression and chromatin accessibility across cellular contexts.

bioRxiv · Aug 25, 2026 · PreprintBioinformatics

RegFM: an interpretable context-aware foundation model for human transcriptional regulation

Zijing Gao, Yining Sun, Haochen Wang, Rui Jiang, Qiao Liu

RegFM improves gene regulation modeling by integrating cis-regulatory elements and trans-acting regulators in human cells, outperforming existing methods in multiple tasks.

bioRxiv · Aug 21, 2026 · PreprintGenomics

Enalapril mitigates senescence and aging-related phenotypes by targeting antioxidative genes via phosphorylated Smad1/5/9

Wencong Lyu, Haochen Wang, Zhehao Du, Ran Wei, Jianuo He, Fanju Meng, Jinlong Bi, Lijun Zhang, Chao Zhang, Yiting Guan, Wei Tao

This study shows enalapril reduces cellular senescence and aging-related issues by enhancing antioxidative genes through phosphorylated Smad1/5/9, improving organ function and memory.

bioRxiv · Nov 27, 2024 · PreprintCell Biology