Chee Keong Kwoh

174 papers A* 1B 6C 3Misc 5Journal 120Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation.
CoRR
Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2026 J jnl
FOCUS: Frequency-Optimized Conditioning of diffUSion models for mitigating catastrophic forgetting during test-time adaptation.
Mach. Vis. Appl.
Gabriel Tjio, Jie Zhang, XuLei Yang, Yun Xing, Nhat Chung, Xiaofeng Cao, Ivor W. Tsang, Chee Keong Kwoh, Qing Guo
2026 J jnl
Target-Specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction.
IEEE Trans Autom. Sci. Eng.
Yubo Hou, Mohamed Ragab, Min Wu, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2026 J jnl
Toward wafer defect detection: An incremental industrial large model with prompt-aware memory replay.
Appl. Soft Comput.
Ke Yue, Jipu Li, Shuhan Deng, Zhuyun Chen, Chee Keong Kwoh, Weihua Li
2025 J jnl
Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment.
CoRR
Yanru Sun, Emadeldeen Eldele, Zongxia Xie, Yucheng Wang, Wenzhe Niu, Qinghua Hu, Chee Keong Kwoh, Min Wu
2025 J jnl
DeepPhosPPI: a deep learning framework with attention-CNN and transformer for predicting phosphorylation effects on protein-protein interactions.
Briefings Bioinform.
Yinyin Gong, Rui Li, Yan Liu, Jilong Wang, Danny Z. Chen, Chee Keong Kwoh
2025 J jnl
Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation.
IEEE Trans. Instrum. Meas.
Yubo Hou, Mohamed Ragab, Yucheng Wang, Min Wu, Abdulla Alseiari, Chee Keong Kwoh, Xiaoli Li, Zhenghua Chen
2025 J jnl
FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation.
CoRR
Gabriel Tjio, Jie Zhang, XuLei Yang, Yun Xing, Nhat Chung, Xiaofeng Cao, Ivor W. Tsang, Chee Keong Kwoh, Qing Guo
2025 J jnl
STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution.
Briefings Bioinform.
Bo Wang, Yahui Long, Yuting Bai, Jiawei Luo, Chee Keong Kwoh
2025 J jnl
Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction.
CoRR
Yubo Hou, Mohamed Ragab, Min Wu, Chee Keong Kwoh, Xiao-Li Li, Zhenghua Chen
2024 J jnl
A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples.
Reliab. Eng. Syst. Saf.
Ke Yue, Jipu Li, Shuhan Deng, Chee Keong Kwoh, Zhuyun Chen, Weihua Li
2024 J jnl
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup.
IEEE Trans. Artif. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2024 J jnl
Label-Efficient Time Series Representation Learning: A Review.
IEEE Trans. Artif. Intell.
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiao-Li Li
2024 J jnl
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning.
Comput. Biol. Medicine
Lin-Xuan Hou, Hai-Cheng Yi, Zhu-Hong You, Shi-Hong Chen, Jia Zheng, Chee Keong Kwoh
2024 J jnl
RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method.
Briefings Bioinform.
Lai Heng Tan, Chee Keong Kwoh, Yuguang Mu
2024 — conf
SMMGCL: a novel multi-level graph contrastive learning framework for integrating spatial multi-omics data.
BIBM
Bo Wang, Wei Liu, Jiawei Luo, Xiangtao Chen, Chee Keong Kwoh
2024 J jnl
Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction.
PLoS Comput. Biol.
Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li
2023 J jnl
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.
ACM Trans. Knowl. Discov. Data
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2023 J jnl
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation.
IEEE Trans. Knowl. Data Eng.
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh
2023 J jnl
COMET: Convolutional Dimension Interaction for Collaborative Filtering.
ACM Trans. Intell. Syst. Technol.
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu
2023 J jnl
Directed collaboration patterns in funded teams: A perspective of knowledge flow.
Inf. Process. Manag.
Bentao Zou, Yuefen Wang, Chee Keong Kwoh, Yonghua Cen
2023 J jnl
Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shamima Rashid, Suresh Sundaram, Chee Keong Kwoh
2023 J jnl
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation.
CoRR
Gabriel Tjio, Ping Liu, Yawei Luo, Chee Keong Kwoh, Joey Tianyi Zhou
2023 J jnl
Label-efficient Time Series Representation Learning: A Review.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2023 — conf
PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction.
BIBM
Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh
2023 J jnl
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences.
J. Biomed. Informatics
Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh
2023 J jnl
Virulence network of interacting domains of influenza a and mouse proteins.
Frontiers Bioinform.
Teng Ann Ng, Shamima Rashid, Chee Keong Kwoh
2022 J jnl
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods.
Briefings Bioinform.
Rui Yin, Xianghe Zhu, Min Zeng, Pengfei Wu, Min Li, Chee Keong Kwoh
2022 — conf
A heterogeneous graph cross-omics attention model for single-cell representation learning.
BIBM
Yue Liu, Junfeng Zhang, Shulin Wang, Wei Zhang, Xiangxiang Zeng, Chee Keong Kwoh
2022 J jnl
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data.
CoRR
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation.
CoRR
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh
2022 J jnl
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Conditional Contrastive Domain Generalization for Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Graph representation learning in bioinformatics: trends, methods and applications.
Briefings Bioinform.
Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Chee Keong Kwoh
2022 J jnl
IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus.
IEEE ACM Trans. Comput. Biol. Bioinform.
Rui Yin, Nyi Nyi Thwin, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh
2022 J jnl
Jupytope: computational extraction of structural properties of viral epitopes.
Briefings Bioinform.
Shamima Rashid, Teng Ann Ng, Chee Keong Kwoh
2022 J jnl
Pre-training graph neural networks for link prediction in biomedical networks.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li
2022 C conf
Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network.
ICARCV
Chenyang Li, Chee Keong Kwoh, Xiaoli Li, Lingfei Mo, Ruqiang Yan
2022 J jnl
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2022 J jnl
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2022 J jnl
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond.
IEEE Trans. Cybern.
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee Keong Kwoh
2021 J jnl
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 J jnl
Attention-based sequence to sequence model for machine remaining useful life prediction.
Neurocomputing
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 J jnl
Chromatin loop anchors predict transcript and exon usage.
Briefings Bioinform.
Yu Zhang, Yichao Cai, Xavier Roca, Chee Keong Kwoh, Melissa Jane Fullwood
2021 J jnl
Class similarity network for coding and long non-coding RNA classification.
BMC Bioinform.
Yu Zhang, Yahui Long, Chee Keong Kwoh
2021 J jnl
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.
IEEE Trans. Ind. Informatics
Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
2021 J jnl
DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction.
Briefings Bioinform.
Yu Zhang, Cangzhi Jia, Melissa Jane Fullwood, Chee Keong Kwoh
2021 J jnl
GLIMG: Global and local item graphs for top-N recommender systems.
Inf. Sci.
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee Keong Kwoh
2021 J jnl
Graph contextualized attention network for predicting synthetic lethality in human cancers.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2021 J jnl
Multi-View Collaborative Network Embedding.
ACM Trans. Knowl. Discov. Data
Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
2021 J jnl
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach.
Briefings Bioinform.
Yu Zhang, Cangzhi Jia, Chee Keong Kwoh
2021 J jnl
Recent advances in network-based methods for disease gene prediction.
Briefings Bioinform.
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
2021 A* conf
Time-Series Representation Learning via Temporal and Contextual Contrasting.
IJCAI
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 J jnl
Time-Series Representation Learning via Temporal and Contextual Contrasting.
CoRR
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
2021 J jnl
VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments.
Bioinform.
Rui Yin, Zihan Luo, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh
2020 J jnl
A random forest based computational model for predicting novel lncRNA-disease associations.
BMC Bioinform.
Dengju Yao, Xiaojuan Zhan, Xiaorong Zhan, Chee Keong Kwoh, Peng Li, Jinke Wang
2020 — conf
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction.
ICPHM
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
2020 J jnl
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization.
CoRR
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu
2020 J jnl
DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation.
IEEE Access
Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh
2020 J jnl
Deep learning based DNA: RNA triplex forming potential prediction.
BMC Bioinform.
Yu Zhang, Yahui Long, Chee Keong Kwoh
2020 J jnl
Ensembling graph attention networks for human microbe-drug association prediction.
Bioinform.
Yahui Long, Min Wu, Yong Liu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 — conf
Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy.
ICCS (5)
Yu Zhang, Zhuoyi Lin, Chee Keong Kwoh
2020 J jnl
Multi-View Collaborative Network Embedding.
CoRR
Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
2020 — conf
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.
BIBM
Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 J jnl
Predicting human microbe-drug associations via graph convolutional network with conditional random field.
Bioinform.
Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
2020 J jnl
Recent Advances in Network-based Methods for Disease Gene Prediction.
CoRR
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
2020 J jnl
Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks.
Bioinform.
Rui Yin, Emil Luusua, Jan Dabrowski, Yu Zhang, Chee Keong Kwoh
2020 J jnl
Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks.
J. Bioinform. Comput. Biol.
Rui Yin, Yu Zhang, Xinrui Zhou, Chee Keong Kwoh
2019 J jnl
An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification.
IEEE Access
Xinrui Zhou, Rui Yin, Jie Zheng, Chee Keong Kwoh
2019 J jnl
Characterization of Hydration Properties in Structural Ensembles of Biomolecules.
J. Chem. Inf. Model.
Mohan R. Pradhan, Minh N. Nguyen, Srinivasaraghavan Kannan, Stephen J. Fox, Chee Keong Kwoh, David P. Lane, Chandra S. Verma
2019 J jnl
Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey.
Briefings Bioinform.
Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh
2019 J jnl
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge.
IEEE J. Biomed. Health Informatics
Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh
2019 J jnl
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.
Bioinform.
Meng Zhang, Fuyi Li, Tatiana T. Marquez-Lago, André Leier, Cunshuo Fan, Chee Keong Kwoh, Kuo-Chen Chou, Jiangning Song, Cangzhi Jia
2019 — ch.
Natural Language Processing Approaches in Bioinformatics.
Encyclopedia of Bioinformatics and Computational Biology (1)
Xu Han, Chee Keong Kwoh
2019 — ch.
Whole Genome Sequencing Analysis.
Encyclopedia of Bioinformatics and Computational Biology (3)
Rui Yin, Chee Keong Kwoh, Jie Zheng
2018 J jnl
Computational identification of physicochemical signatures for host tropism of influenza A virus.
J. Bioinform. Comput. Biol.
Rui Yin, Xinrui Zhou, Jie Zheng, Chee Keong Kwoh
2018 J jnl
Proposing drug fragments for dengue virus NS5 protein.
J. Bioinform. Comput. Biol.
Amr Alhossary, Yaw Awuni, Chee Keong Kwoh, Yuguang Mu
2017 — conf
AI and Big Data Analytics for Health and Bioinformatics.
CSBio
Chee Keong Kwoh
2017 J jnl
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh
2017 — conf
Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains.
ICBBS
Rui Yin, Xinrui Zhou, Fransiskus Xaverius Ivan, Jie Zheng, Vincent T. K. Chow, Chee Keong Kwoh
2017 — conf
Phylogenetic Tree based Method for Uncovering Co-mutational Site-pairs in Influenza Viruses.
BCB
Fransiskus Xaverius Ivan, Xinrui Zhou, Akhila Deshpande, Rui Yin, Jie Zheng, Chee Keong Kwoh
2016 J jnl
Active learning for ontological event extraction incorporating named entity recognition and unknown word handling.
J. Biomed. Semant.
Xu Han, Jung-Jae Kim, Chee Keong Kwoh
2016 J jnl
Automated anterior segment OCT image analysis for Angle Closure Glaucoma mechanisms classification.
Comput. Methods Programs Biomed.
Swamidoss Issac Niwas, Weisi Lin, Xiaolong Bai, Chee Keong Kwoh, C.-C. Jay Kuo, Chelvin C. Sng, Maria Cecilia Aquino, Paul T. K. Chew
2016 B conf
Clustering based active learning for biomedical Named Entity Recognition.
IJCNN
Xu Han, Chee Keong Kwoh, Jung-Jae Kim
2016 J jnl
Complex wavelet based quality assessment for AS-OCT images with application to Angle Closure Glaucoma diagnosis.
Comput. Methods Programs Biomed.
Swamidoss Issac Niwas, Vinit Jakhetiya, Weisi Lin, Chee Keong Kwoh, Chelvin C. Sng, Maria Cecilia Aquino, Victor Koh, Paul T. K. Chew
2016 J jnl
Cross-Examination for Angle-Closure Glaucoma Feature Detection.
IEEE J. Biomed. Health Informatics
Swamidoss Issac Niwas, Weisi Lin, Chee Keong Kwoh, C.-C. Jay Kuo, Chelvin C. Sng, Maria Cecilia Aquino, Paul T. K. Chew
2016 J jnl
Drug-target interaction prediction via class imbalance-aware ensemble learning.
BMC Bioinform.
Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh
2016 J jnl
Gene, Environment and Methylation (GEM): a tool suite to efficiently navigate large scale epigenome wide association studies and integrate genotype and interaction between genotype and environment.
BMC Bioinform.
Hong Pan, Joanna D. Holbrook, Neerja Karnani, Chee Keong Kwoh
2016 J jnl
Learning ECOC Code Matrix for Multiclass Classification with Application to Glaucoma Diagnosis.
J. Medical Syst.
Xiaolong Bai, Swamidoss Issac Niwas, Weisi Lin, Bing-Feng Ju, Chee Keong Kwoh, Lipo Wang, Chelvin C. Sng, Maria Cecilia Aquino, Paul T. K. Chew
2015 J jnl
Classification and its application to drug-target interaction prediction.
CoRR
Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li
2015 J jnl
Fast, accurate, and reliable molecular docking with QuickVina 2.
Bioinform.
Amr Alhossary, Stephanus Daniel Handoko, Yuguang Mu, Chee Keong Kwoh
2015 J jnl
Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates.
J. Bioinform. Comput. Biol.
Fan Zhang, Min Wu, Xuejuan Li, Xiaoli Li, Chee Keong Kwoh, Jie Zheng
2015 J jnl
Reliable Feature Selection for Automated Angle Closure Glaucoma Mechanism Detection.
J. Medical Syst.
S. Issac Niwas, Weisi Lin, Xiaolong Bai, Chee Keong Kwoh, Chelvin C. Sng, Maria Cecilia Aquino, Paul T. K. Chew
2014 J jnl
A survey on computer aided diagnosis for ocular diseases.
BMC Medical Informatics Decis. Mak.
Zhuo Zhang, Ruchir Srivastava, Huiying Liu, Xiangyu Chen, Lixin Duan, Damon Wing Kee Wong, Chee Keong Kwoh, Tien Yin Wong, Jiang Liu
2014 — conf
Automatic sleep onset detection using single EEG sensor.
EMBC
Zhuo Zhang, Cuntai Guan, Ti-Eu Chan, Juanhong Yu, Andrew Keong Ng, Haihong Zhang, Chee Keong Kwoh
2014 — conf
Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways.
BCB
Fan Zhang, Chee Keong Kwoh, Min Wu, Jie Zheng
2014 J jnl
Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast.
BMC Syst. Biol.
Min Wu, Chee Keong Kwoh, Xiaoli Li, Jie Zheng
2014 J jnl
IFACEwat: the interfacial water-implemented re-ranking algorithm to improve the discrimination of near native structures for protein rigid docking.
BMC Bioinform.
Chinh Tran To Su, Thuy-Diem Nguyen, Jie Zheng, Chee Keong Kwoh
2014 J jnl
Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots.
BMC Bioinform.
Qian Liu, Steven C. H. Hoi, Chee Keong Kwoh, Limsoon Wong, Jinyan Li
2014 J jnl
LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms.
BMC Bioinform.
Peng Yang, Min Wu, Jing Guo, Chee Keong Kwoh, Teresa M. Przytycka, Jie Zheng
2014 J jnl
Reliable and Fast Estimation of Recombination Rates by Convergence Diagnosis and Parallel Markov Chain Monte Carlo.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jing Guo, Ritika Jain, Peng Yang, Rui Fan, Chee Keong Kwoh, Jie Zheng
2014 Misc conf
SparseHC: A Memory-efficient Online Hierarchical Clustering Algorithm.
ICCS
Thuy-Diem Nguyen, Bertil Schmidt, Chee Keong Kwoh
2013 J jnl
Binding Affinity Prediction for Protein-Ligand Complexes Based on
J. Chem. Inf. Model.
Qian Liu, Chee Keong Kwoh, Jinyan Li
2013 J jnl
Comprehensive detection of cancer gene expression profiles and gene networks are impacted by the choice of pre-processing algorithm and gene-selection method.
Int. J. Data Min. Bioinform.
N. Baskaran, Chee Keong Kwoh, Kam M. Hui
2013 J jnl
CovalentDock Cloud: a web server for automated covalent docking.
Nucleic Acids Res.
Xuchang Ouyang, Shuo Zhou, Zemei Ge, Runtao Li, Chee Keong Kwoh
2013 J jnl
CovalentDock: Automated covalent docking with parameterized covalent linkage energy estimation and molecular geometry constraints.
J. Comput. Chem.
Xuchang Ouyang, Shuo Zhou, Chinh Tran To Su, Zemei Ge, Runtao Li, Chee Keong Kwoh
2013 J jnl
Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing.
IEEE Comput. Intell. Mag.
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Stephanus Daniel Handoko, Chee Keong Kwoh, H. Y. Man
2013 J jnl
Drug-target interaction prediction by learning from local information and neighbors.
Bioinform.
Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng
2013 J jnl
Improved Time Complexities for Learning Boolean Networks.
Entropy
Yun Zheng, Chee Keong Kwoh
2013 — conf
Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer.
BCB
Min Wu, Xuejuan Li, Fan Zhang, Xiaoli Li, Chee Keong Kwoh, Jie Zheng
2013 J jnl
Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates: implications for TCR cross-recognition and vaccine development.
BMC Bioinform.
Chinh T. T. Su, Christian Schönbach, Chee Keong Kwoh
2013 J jnl
Research and applications: Automatic glaucoma diagnosis through medical imaging informatics.
J. Am. Medical Informatics Assoc.
Jiang Liu, Zhuo Zhang, Damon Wing Kee Wong, Yanwu Xu, Fengshou Yin, Jun Cheng, Ngan Meng Tan, Chee Keong Kwoh, Dong Xu, Yih Chung Tham, Tin Aung, Tien Yin Wong
2013 J jnl
Review of tandem repeat search tools: a systematic approach to evaluating algorithmic performance.
Briefings Bioinform.
Kian Guan Lim, Chee Keong Kwoh, Li Yang Hsu, Adrianto Wirawan
2013 J jnl
Structural analysis of the novel influenza A (H7N9) viral Neuraminidase interactions with current approved neuraminidase inhibitors Oseltamivir, Zanamivir, and Peramivir in the presence of mutation R289K.
BMC Bioinform.
Chinh Tran To Su, Xuchang Ouyang, Jie Zheng, Chee Keong Kwoh
2013 J jnl
Structural analysis on mutation residues and interfacial water molecules for human TIM disease understanding.
BMC Bioinform.
Zhenhua Li, Ying He, Qian Liu, Liang Zhao, Limsoon Wong, Chee Keong Kwoh, Hung T. Nguyen, Jinyan Li
2013 J jnl
Using causality modeling and Fuzzy Lattice Reasoning algorithm for predicting blood glucose.
Expert Syst. Appl.
Simon Fong, Sabah Mohammed, Jinan Fiaidhi, Chee Keong Kwoh
2012 Misc conf
A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic.
WSC
Tianyou Zhang, Michael Lees, Chee Keong Kwoh, Xiuju Fu, Gary Kee Khoon Lee, Rick Siow Mong Goh
2012 J jnl
A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules.
Comput. Math. Appl.
Mostafa Mostafa Hashim Ellabaan, Stephanus Daniel Handoko, Yew-Soon Ong, Chee Keong Kwoh, S. A. Bahnassy, F. M. Elassawy, H. Y. Man
2012 — conf
Comparison of Structure-based Tools for the Prediction of Ligand Binding Site Residues in Apo-structures.
CSBio
Ali Ezzat, Chee Keong Kwoh
2012 J jnl
Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data.
J. Comput. Biol.
Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng, Limsoon Wong
2012 J jnl
Erratum to "QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization".
IEEE ACM Trans. Comput. Biol. Bioinform.
Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong
2012 B conf
GPU Accelerated Molecular Docking with Parallel Genetic Algorithm.
ICPADS
Xuchang Ouyang, Chee Keong Kwoh
2012 — conf
Globalized bipartite local model for drug-target interaction prediction.
BIOKDD
Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng
2012 — conf
Identify Predictive SNP groups in Genome Wide Association Study: A Sparse Learning Approach.
CSBio
Zhuo Zhang, Yanwu Xu, Jiang Liu, Chee Keong Kwoh
2012 — conf
Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse.
BCB
Min Wu, Chee Keong Kwoh, Teresa M. Przytycka, Jing Li, Jie Zheng
2012 — conf
NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots.
BCB
Min Wu, Chee Keong Kwoh, Jie Zheng, Xiaoli Li
2012 J jnl
Positive-unlabeled learning for disease gene identification.
Bioinform.
Peng Yang, Xiaoli Li, Jian-Ping Mei, Chee Keong Kwoh, See-Kiong Ng
2012 — conf
Preface: Computational Systems-Biology and Bioinformatics.
CSBio
Jonathan Hoyin Chan, Asawin Meechai, Chee Keong Kwoh
2012 — ed.
Proceedings of the 3rd International Conference on Computational Systems-Biology and Bioinformatics, CSBio 2012, Bangkok, Thailand, October 3-5, 2012
CSBio
Jonathan Hoyin Chan, Asawin Meechai, Chee Keong Kwoh
2012 J jnl
QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong
2011 J jnl
A Feature Subset Selection Method Based On High-Dimensional Mutual Information.
Entropy
Yun Zheng, Chee Keong Kwoh
2011 — conf
A hybrid framework for genome wide epistasis discovery.
EMBC
Zehao Tan, Zhuo Zhang, Jiang Liu, Chee Keong Kwoh, Sim Heng Ong, Yik Ying Teo, Chiea-Chuen Khor, E. Shyong Tai, Tin Aung, Eranga Vithana, Tien Yin Wong
2011 — conf
Analyzing Trends of Hospital Length of Stay Using Phase-Type Distributions.
ICDM Workshops
Truc Viet Le, Chee Keong Kwoh, Eng Soon Teo, Kheng Hock Lee
2011 B conf
Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping.
IEEE Congress on Evolutionary Computation
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan H. Chan
2011 J jnl
Construction of co-complex score matrix for protein complex prediction from AP-MS data.
Bioinform.
Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu
2011 — conf
MRMR optimized classification for automatic glaucoma diagnosis.
EMBC
Zhuo Zhang, Chee Keong Kwoh, Jiang Liu, Fengshou Yin, Adrianto Wirawan, Carol Yim-lui Cheung, Mani Baskaran, Tin Aung, Tien Yin Wong
2011 — conf
Phylogenetic and mutational analysis of 2008, 2009 & 2010 neuraminidase of H1N1 influenza A.
BCB
Chee Keong Kwoh, Lakshmi Chandrasekaran
2011 — conf
Prediction of Trans-regulators of Recombination Hotspots in Mouse Genome.
BIBM
Min Wu, Chee Keong Kwoh, Teresa M. Przytycka, Jing Li, Jie Zheng
2011 J jnl
Structural analysis of the hot spots in the binding between H1N1 HA and the 2D1 antibody: do mutations of H1N1 from 1918 to 2009 affect much on this binding?
Bioinform.
Qian Liu, Steven C. H. Hoi, Chinh T. T. Su, Zhenhua Li, Chee Keong Kwoh, Limsoon Wong, Jinyan Li
2011 J jnl
Trend Analysis of Length of Stay Data via Phase-Type Models.
Int. J. Knowl. Discov. Bioinform.
Truc Viet Le, Chee Keong Kwoh, Kheng Hock Lee, Eng Soon Teo
2010 — conf
A Vaccine Strategy for Plant Allergy by RNA Interference - An
CSBio
Ramya Ramadoss, Chee Keong Kwoh
2010 — conf
A possible mutation that enables H1N1 influenza a virus to escape antibody recognition.
BIBM
Chinh T. T. Su, Stephanus Daniel Handoko, Chee Keong Kwoh, Christian Schönbach, Xiaoli Li
2010 — conf
Bioinformatics approaches in tuberculosis vaccination strategies by whole genome sequence.
BIBM Workshops
Ai Ling Ong, Chee Keong Kwoh
2010 J jnl
Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms.
IEEE Trans. Evol. Comput.
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong
2010 — conf
INVERTER: INtegrated Variable numbER Tandem rEpeat findeR.
CSBio
Adrianto Wirawan, Chee Keong Kwoh, Li Yang Hsu, Tse Hsien Koh
2010 J jnl
Integrating diverse biological and computational sources for reliable protein-protein interactions.
BMC Bioinform.
Min Wu, Xiaoli Li, Hon Nian Chua, Chee Keong Kwoh, See-Kiong Ng
2010 J jnl
Multi-threaded vectorized distance matrix computation on the CELL/BE and x86/SSE2 architectures.
Bioinform.
Adrianto Wirawan, Chee Keong Kwoh, Bertil Schmidt
2010 — conf
Outcomes of gene association analysis of cancer microarray data are impacted by pre-processing algorithms.
BIBM
N. Baskaran, Chee Keong Kwoh, Kam M. Hui
2010 — conf
Structural analysis of (TCR - )HLA/peptide complexes: An initial study.
BIBM Workshops
Stephanus Daniel Handoko, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong
2009 B conf
A GA-SVM Feature Selection Model Based on High Performance Computing Techniques.
SMC
Tianyou Zhang, Xiuju Fu, Rick Siow Mong Goh, Chee Keong Kwoh, Gary Kee Khoon Lee
2009 J jnl
A core-attachment based method to detect protein complexes in PPI networks.
BMC Bioinform.
Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng
2009 J jnl
Brief Overview of Bioinformatics Activities in Singapore.
PLoS Comput. Biol.
Frank Eisenhaber, Chee Keong Kwoh, See-Kiong Ng, Wing-Kin Sung, Limsoon Wong
2009 — conf
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems.
Australasian Conference on Artificial Intelligence
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong
2009 J jnl
High performance protein sequence database scanning on the Cell Broadband Engine.
Sci. Program.
Adrianto Wirawan, Bertil Schmidt, Huiliang Zhang, Chee Keong Kwoh
2009 — conf
Pairwise Distance Matrix Computation for Multiple Sequence Alignment on the Cell Broadband Engine.
ICCS (1)
Adrianto Wirawan, Bertil Schmidt, Chee Keong Kwoh
2008 B conf
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients.
IEEE Congress on Evolutionary Computation
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Meng-Hiot Lim
2008 J jnl
CBESW: Sequence Alignment on the Playstation 3.
BMC Bioinform.
Adrianto Wirawan, Chee Keong Kwoh, Nim Tri Hieu, Bertil Schmidt
2008 J jnl
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model.
Int. J. Bioinform. Res. Appl.
Deyu Zhou, Yulan He, Chee Keong Kwoh
2008 — ch.
From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions.
Computational Intelligence in Biomedicine and Bioinformatics
Deyu Zhou, Yulan He, Chee Keong Kwoh
2008 J jnl
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes.
BMC Bioinform.
Guanglan Zhang, Asif M. Khan, Kellathur N. Srinivasan, A. T. Heiny, Kenneth X. Lee, Chee Keong Kwoh, J. Thomas August, Vladimir Brusic
2008 B conf
Using classification for constrained memetic algorithm: A new paradigm.
SMC
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong
2007 — conf
Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering.
PRIB
Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang
2007 Misc conf
Parallel DNA Sequence Alignment on the Cell Broadband Engine.
PPAM
Adrianto Wirawan, Chee Keong Kwoh, Bertil Schmidt
2007 C conf
Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction.
CIDM
Deyu Zhou, Yulan He, Chee Keong Kwoh
2007 J jnl
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions.
Artif. Intell. Medicine
Deyu Zhou, Yulan He, Chee Keong Kwoh
2007 Misc conf
Training the Hidden Vector State Model from Un-annotated Corpus.
International Conference on Computational Science (2)
Deyu Zhou, Yulan He, Chee Keong Kwoh
2006 J jnl
Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach.
J. Comput.
Yun Zheng, Chee Keong Kwoh
2006 J jnl
Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks.
Int. J. Data Min. Bioinform.
Yun Zheng, Chee Keong Kwoh
2006 Misc conf
Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model.
International Conference on Computational Science (2)
Deyu Zhou, Yulan He, Chee Keong Kwoh
2006 — conf
Extreme Learning Machine for Predicting HLA-Peptide Binding.
ISNN (2)
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Guanglan Zhang, Vladimir Brusic
2006 C conf
Functional Prediction of Snake Neurotoxins.
ICARCV
Seng Hong Seah, Chee Keong Kwoh, Vladimir Brusic, Meena Kishore Sakharkar, Geok See Ng
2006 — conf
Informative MicroRNA Expression Patterns for Cancer Classification.
BioDM
Yun Zheng, Chee Keong Kwoh
2005 J jnl
u-Genome: A Database on Genome Design in Unicellular Genomes.
Silico Biol.
Kishore R. Sakharkar, Iti Chaturvedi, Vincent T. K. Chow, Chee Keong Kwoh, Pandjassarame Kangueane, Meena Kishore Sakharkar
2004 — conf
The Pattern Classification Based on the Nearest Feature Midpoints.
ICPR (3)
Zonglin Zhou, Chee Keong Kwoh