Author

Liang Shang

Shenyang Institute of AutomationORCID 0000-0001-8369-3049Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Liang Shang1 paper · University of Minnesota

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

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Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bin CheniD· 2 shared Chuanjun LiuiD· 2 shared Fengzhen TangiD· 2 shared Kenshi HayashiiD· 2 shared Lianqing LiuiD· 2 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Bin ChenORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 20, 2022

Artificial intelligence-based gas chromatography-olfactometry for sensory evaluation of key compounds in food ingredients

Liang Shang, Chuanjun Liu, Fengzhen Tang…·Kenshi Hayashi

This paper develops AI models to predict odor perception categories from molecular structures, finding that MG-CNN provides the highest accuracy for structure-odor relationship prediction.

DOI 10.1101/2022.04.20.488977

𝕏 PostBluesky

Molecular BiologybioRxivPreprintApr 20, 2022

Machine-Learning-Based Olfactometry: An Auxiliary System for Human Assessors in Olfactory Measurement

Liang Shang, Chuanjun Liu, Fengzhen Tang…·Kenshi Hayashi

This paper develops a machine-learning-based olfactometry system to predict odor descriptors from molecular features, reducing the need for human panelists in olfactory evaluation.

2 citations

machine learning (classical)

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