Chee Keong Kwoh

Nanyang Technological University — Singapore

Biochemistry, Genetics and Molecular Biology · Life Sciences

45h-index8.0kcitations263works7.32yr avg
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Research Topics

Machine Learning in Bioinformatics(37), Bioinformatics and Genomic Networks(33), Influenza Virus Research Studies(31), RNA and protein synthesis mechanisms(31), Computational Drug Discovery Methods(28)

Publications263 total

DeepPhosPPI: a deep learning framework with attention-CNN and transformer for predicting phosphorylation effects on protein–protein interactions
Briefings in Bioinformatics·2025Open Access
FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation
arXiv (Cornell University)·2025Open Access
Target-Specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction
IEEE Transactions on Automation Science and Engineering·2025Open Access
Source-free Calibrated Uncertainty for RUL Adaptation with incomplete degradation
Mechanical Systems and Signal Processing·2025· 4 cited
Identification of RC3H1 as antiviral host factor binding to the non-structural protein 1 of Influenza A virus via a 3-stage computational pipeline and cell-based analysis
Virology Journal·2025Open Access
Identification of RC3H1 as antiviral host factor binding to the non-structural protein 1 of Influenza A virus via a 3-stage computational pipeline and cell-based analysis
2025Open Access
Source-Free Calibrated Uncertainty for Rul Adaptation with Incomplete Degradation
SSRN Electronic Journal·2025· 1 citedOpen Access
Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation
IEEE Transactions on Instrumentation and Measurement·2025· 5 cited
Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction
PLoS Computational Biology·2024· 3 citedOpen Access
Noise-robust multi-view graph neural network for fault diagnosis of rotating machinery
Mechanical Systems and Signal Processing·2024· 31 cited
Label-Efficient Time Series Representation Learning: A Review
IEEE Transactions on Artificial Intelligence·2024· 30 cited
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning
Computers in Biology and Medicine·2024· 13 cited
N-GlycoPred: A hybrid deep learning model for accurate identification of N-glycosylation sites
Methods·2024· 2 cited
RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method
Briefings in Bioinformatics·2024· 19 citedOpen Access
Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction
2024· 2 citedOpen Access
PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction
2023· 2 cited
PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection
2023· 1 cited
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence·2023· 149 cited
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup
IEEE Transactions on Artificial Intelligence·2023· 45 cited
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Min Wu(18), Xiaoli Li(18), Zhenghua Chen(11), Mohamed Ragab(10), Emadeldeen Eldele(8), Yahui Long(5), Jiawei Luo(5), Cuntai Guan(4), Stephanus Daniel Handoko(4), Yu Zhang(4), Ruqiang Yan(3), Xuchang Ouyang(3), Yong Liu(3), Rui Yin(3), Jie Zheng(3), Swamidoss Issac Niwas(3), Weisi Lin(3), Chelvin C. A. Sng(3), Maria Cecilia Aquino(3), Amr Alhossary(2)