Author

Zhenghang Shi

The Affiliated High School of Peking 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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Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Assay:whole-genome sequencing· 2 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Haiguang LiuiD· 2 shared Qiuyi LiiD· 2 shared Shikun Feng· 2 shared Tao Qin· 2 shared Anton Lozhkov· 1 shared Diego di BernardoiD· 1 shared Georgia ChanningiD· 1 shared J LiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersGenomics

Haiguang LiuORCID

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2 papers

Recent·Most cited

Carbon-A: Unified Genome Annotation across Eukaryotic Diversity

Georgia Channing, Zhenghang Shi, Xiaoxing Zhang, Mathieu Morlon, Kashif Rasul, Anton Lozhkov, Shikun Feng, J Li, Haiguang Liu, Diego di Bernardo, Nieng Yan, Tao Qin, Thomas Wolf, Leandro von Werra, Qiuyi Li

Carbon-A annotates protein-coding genes across eukaryotic genomes using a large encoder model, achieving high accuracy and enabling the creation of a comprehensive annotation database.

bioRxiv · Oct 21, 2026 · PreprintGenomics

GENERator-v2: Reconciling Coarse Tokenization with Single-Nucleotide Resolution in Genomic Language Modeling

Qiuyi Li, Zhihao Zhan, Shikun Feng, Yiheng Zhu, Yuan He, Wei Wu, Zhenghang Shi, Shengjie Wang, Zongyong Hu, Zhao Yang, Jiaoyang Li, Jian Tang, Haiguang Liu, Tao Qin

This paper introduces improved genomic language models that balance long-range context with single-nucleotide resolution, achieving better performance and efficiency than prior methods.

bioRxiv · May 4, 2026 · PreprintGenomics