Chee Keong Kwoh
Associate Professor
Works on bioinformatics and data mining, including computational prediction for HLA-based peptide vaccine design and infectious disease data analysis.
Chee Keong Kwoh's lab at NTU works on medical imaging & healthcare AI, genomics & computational biology and data management & big data. 28 papers since 2023, 2 at top venues, mostly TKDE and TPAMI. 34 alumni.
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 7%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 34
Papers by yearfrom DBLP, 2023–2026
- 5 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 0
- 8 papers2024 · T1 0
- 12 papers2023 · T1 2
T1 venuesOtherVenues: TKDE, TPAMI
Research focuspaper titles that use each topic's words
- Data management & big data4 papers
- data4 papers
- Medical imaging & healthcare AI1 paper
- Genomics & computational biology0 papers
- peptide0 papers
Paper list
From DBLP.
20265 papers
- Reliab. Eng. Syst. Saf.Dynamic branch expansion: A hypergraph-augmented adaptive continual learning framework for machine health prognosis under time-varying conditions (opens in a new tab)
- Mach. Vis. Appl.FOCUS: Frequency-Optimized Conditioning of diffUSion models for mitigating catastrophic forgetting during test-time adaptation (opens in a new tab)
- IEEE J. Biomed. Health InformaticsImage-Enhanced Multi-Modal Contrastive Transformer for Subcellular Spatial Transcriptomics (opens in a new tab)
- IEEE Trans Autom. Sci. Eng.Target-Specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction (opens in a new tab)
- Appl. Soft Comput.Toward wafer defect detection: An incremental industrial large model with prompt-aware memory replay (opens in a new tab)
20253 papers
- Briefings Bioinform.DeepPhosPPI: a deep learning framework with attention-CNN and transformer for predicting phosphorylation effects on protein-protein interactions (opens in a new tab)
- IEEE Trans. Instrum. Meas.Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation (opens in a new tab)
- Briefings Bioinform.STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution (opens in a new tab)
20248 papers
- Reliab. Eng. Syst. Saf.A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples (opens in a new tab)
- IEEE Trans. Artif. Intell.Contrastive Domain Adaptation for Time-Series Via Temporal Mixup (opens in a new tab)
- IEEE Trans. Artif. Intell.Label-Efficient Time Series Representation Learning: A Review (opens in a new tab)
- Comput. Biol. MedicineMathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning (opens in a new tab)
- Briefings Bioinform.RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Self-Supervised Autoregressive Domain Adaptation for Time Series Data (opens in a new tab)
- BIBMSMMGCL: a novel multi-level graph contrastive learning framework for integrating spatial multi-omics data (opens in a new tab)
- PLoS Comput. Biol.Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction (opens in a new tab)
202312 papers
- Comput. Ind.A universal transfer network for machinery fault diagnosis (opens in a new tab)
- IEEE Trans. Emerg. Top. Comput. Intell.ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training (opens in a new tab)
- ACM Trans. Knowl. Discov. DataADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data (opens in a new tab)
- TKDE (T1)Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation (opens in a new tab)
- ACM Trans. Intell. Syst. Technol.COMET: Convolutional Dimension Interaction for Collaborative Filtering (opens in a new tab)
- Inf. Process. Manag.Directed collaboration patterns in funded teams: A perspective of knowledge flow (opens in a new tab)
- IEEE ACM Trans. Comput. Biol. Bioinform.Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction (opens in a new tab)
- BIBMPESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction (opens in a new tab)
- ICDM WorkshopPROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection (opens in a new tab)
- TPAMI (T1)Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification (opens in a new tab)
- J. Biomed. InformaticsViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences (opens in a new tab)
- Frontiers Bioinform.Virulence network of interacting domains of influenza a and mouse proteins (opens in a new tab)
Where alumni went34 listed
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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