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20202023
most citedDPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers

8 citations · 21 across the 9 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cond-mat.supr-con2022★ 1 cited

Prediction of superconducting properties of materials based on machine learning models

Jie Hu, Yongquan Jiang, Yang Yan +1

The application of superconducting materials is becoming more and more widespread. Traditionally, the discovery of new superconducting materials relies on the experience of experts…

cs.CV2022★ 2 cited

Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction

Yan Yang, Md Zakir Hossain, Eric A Stone +1

Spatial transcriptomics (ST) is essential for understanding diseases and developing novel treatments. It measures gene expression of each fine-grained area (i.e., different windows…

cs.CV2022★ 3 cited

Less is More: Facial Landmarks can Recognize a Spontaneous Smile

Md. Tahrim Faroque, Yan Yang, Md Zakir Hossain +3

Smile veracity classification is a task of interpreting social interactions. Broadly, it distinguishes between spontaneous and posed smiles. Previous approaches used hand-engineere…

cond-mat.mtrl-sci2022

Hardness prediction of age-hardening aluminum alloy based on ensemble learning

Houchen Zuo, Yongquan Jiang, Yan Yang +2

With the rapid development of artificial intelligence, the combination of material database and machine learning has driven the progress of material informatics. Because aluminum a…

q-bio.QM2022★ 8 cited

DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers

Yan Yang, Zakir Hossain, Khandaker Asif +3

De novo peptide sequencing aims to recover amino acid sequences of a peptide from tandem mass spectrometry (MS) data. Existing approaches for de novo analysis enumerate MS evidence…