Shirley W. I. Siu

Orcid: 0000-0002-3695-7758

According to our database1, Shirley W. I. Siu authored at least 32 papers between 2004 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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On csauthors.net:

Bibliography

2026
Multi-MoleScale: a multi-scale approach for molecular property prediction with graph contrastive and sequence learning.
J. Cheminformatics, December, 2026

Enzyformer: a two-stage pretrained model for enzymatic retrosynthesis.
J. Cheminformatics, December, 2026

BERT-T6: Toward High-Accuracy T6SS Bacterial Toxin Identification Using a Protein Language Model.
J. Chem. Inf. Model., 2026

MambaTransDTA: A Hybrid Mamba-Transformer Architecture for Accurate Drug-Target Binding Affinity Prediction.
J. Chem. Inf. Model., 2026

MEGCAM: MEta-Graph and Causal Attention Method for Drug Repurposing on Heterogeneous Drug-Target-Disease Knowledge Network.
J. Chem. Inf. Model., 2026

CrossToGene: A bidirectional cross-modality interaction framework for predicting spatial gene expression from histopathological images.
Eng. Appl. Artif. Intell., 2026

2025
BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides for <i>Escherichia coli</i> and <i>Staphylococcus aureus</i>.
J. Chem. Inf. Model., 2025

CALM-AcPEP: Predicting Anticancer Peptides Using Cross-Attention and Pre-Trained Language Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

xLSTM-AmPEP60: An xLSTM Model for the Minimum Inhibitory Concentrations Prediction of Antimicrobial Peptides.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Identification of Anticancer Peptides from the Genome of <i>Candida albicans</i>: in Silico Screening, in Vitro and in Vivo Validations.
J. Chem. Inf. Model., 2024

Editorial: Machine learning approaches to antimicrobials: discovery and resistance.
Frontiers Bioinform., 2024

Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach.
CoRR, 2024

2023
Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification.
Appl. Intell., June, 2023

Instance-based deep transfer learning with attention for stock movement prediction.
Appl. Intell., March, 2023

2022
Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural network.
Comput. Biol. Medicine, 2022

2021
xDeep-AcPEP: Deep Learning Method for Anticancer Peptide Activity Prediction Based on Convolutional Neural Network and Multitask Learning.
J. Chem. Inf. Model., 2021

LigTMap: ligand and structure-based target identification and activity prediction for small molecular compounds.
J. Cheminformatics, 2021

Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network.
J. Cheminformatics, 2021

2020
White learning methodology: A case study of cancer-related disease factors analysis in real-time PACS environment.
Comput. Methods Programs Biomed., 2020

Study of Data Imbalanced Problem in Protein-peptide Binding Prediction.
Proceedings of the 12th International Conference on Bioinformatics and Biomedical Technology, 2020

Evaluating Variants of Firefly Algorithm for Ligand Pose Prediction in Protein-ligand Docking Program.
Proceedings of the 12th International Conference on Bioinformatics and Biomedical Technology, 2020

BESTox: A Convolutional Neural Network Regression Model Based on Binary-Encoded SMILES for Acute Oral Toxicity Prediction of Chemical Compounds.
Proceedings of the Algorithms for Computational Biology, 2020

2018
Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments.
Symmetry, 2018

Chaos-embedded particle swarm optimization approach for protein-ligand docking and virtual screening.
J. Cheminformatics, 2018

2017
TMDIM: an improved algorithm for the structure prediction of transmembrane domains of bitopic dimers.
J. Comput. Aided Mol. Des., 2017

2016
ProtPOS: a python package for the prediction of protein preferred orientation on a surface.
Bioinform., 2016

Improving the efficiency of PSOVina for protein-ligand docking by two-stage local search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking.
J. Bioinform. Comput. Biol., 2015

Predicting favorable protein docking poses on a solid surface by particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2013
Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-Based Scoring Functions.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2006
DynaPred: A structure and sequence based method for the prediction of MHC class I binding peptide sequences and conformations.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

2004
Smart Card-Based Irregular Access Patterns Detection System.
Proceedings of the 2004 IEEE International Conference on e-Technology, 2004


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