Author

Liang Zhang

Shanghai Jiao Tong UniversityORCID 0009-0004-3473-0180Unclaimed ORCID profile · follow to get notified of new preprints

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Liang Zhang6 papers · China West Normal University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:variant effect prediction· 2 Organism:bacteria (other)· 1 Approach:contrastive learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Bozitao ZhongiD· 2 shared Fan JiangiD· 2 shared Liang HongiD· 2 shared Mingchen LiiD· 2 shared Yuanxi YuiD· 2 shared Guisheng FaniD· 1 shared Huiqun YuiD· 1 shared Wanli OuyangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersBioinformatics

Bozitao ZhongORCID

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2 papers

Recent·Most cited

VenusGenome: Genome-Aware Masked Autoencoding for Microbial Genome Representation Learning

Liang Zhang, Yukun Zhang, Yang Tan, Fan Jiang, Bozitao Zhong, Xiaoran Cheng, Liang Hong, Mingchen Li, Yuanxi Yu

VenusGenome improves microbial genome representation learning by using a genome-aware masked autoencoder, achieving high performance in phenotype prediction and gene-level tasks.

bioRxiv · Oct 27, 2026 · PreprintBioinformatics

Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models

Yuanxi Yu, Fan Jiang, Xinzhu Ma, Liang Zhang, Bozitao Zhong, Wanli Ouyang, Guisheng Fan, Huiqun Yu, Liang Hong, Mingchen Li

The paper introduces Venus-MAXWELL, a framework for predicting protein mutant stability using sequence-to-landscape learning, achieving higher accuracy and faster inference than existing methods.

neural information processing systems · Jan 1, 2025Peer-reviewedBioinformatics