Author

Yiheng Wang

Tongji University

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 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:Hi-C· 1 Organism:mouse· 1 Approach:optimal transport· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Bing He· 1 shared Cheng Zhang· 1 shared Duanmiao SiiD· 1 shared Feiyang XingiD· 1 shared Guohui ChuaiiD· 1 shared Hebing CheniD· 1 shared Jingya YangiD· 1 shared Joergen M. R. KornfeldiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Bing He

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Constraints for spatially and temporally precise learning in a neural circuit model of reinforcement learning

Yiheng Wang, Joergen M. R. Kornfeld, Michale S. Fee, Mark S. Goldman

The paper presents a neural circuit model of reinforcement learning in songbirds that demonstrates how temporal and spatial imprecision in dopaminergic signals can be overcome through fast reward prediction updates.

bioRxiv · Jul 22, 2026 · PreprintNeuroscience

CellLoop: Identifying single-cell 3D genome chromatin loops

Yusen Ye, Yiheng Wang, Shiji Liu, Yuxuan Hu, Liang Yu, Weibing Wang, Shihua Zhang, Hebing Chen, Lin Gao

CellLoop identifies single-cell chromatin loops using a density-based framework, improving accuracy in mouse brain and embryogenesis data.

Nature Communications · Apr 6, 2026Peer-reviewedBioinformatics

Towards building a World Model to simulate perturbation-induced cellular dynamics by AlphaCell

Guohui Chuai, Xiaohan Chen, Xingbo Yang, Cheng Zhang, Kairu Qu, Yiheng Wang, Wannian Li, Jingya Yang, Duanmiao Si, Feiyang Xing, Yicheng Gao, Siqi Wu, Shaliu Fu, Bing He, Qi Liu

AlphaCell simulates perturbation-induced cellular dynamics by addressing limitations in current models through three innovations: latent manifold rectification, biological reality reconstruction, and universal state transition.

bioRxiv · Mar 5, 2026 · PreprintBioinformatics