Estimating the initial values of unobservable variables in visual probabilistic networks. - Chee-Keong Kwoh 001; Duncan Fyfe Gillies (CAIP, 1995)

Using Hidden Nodes in Bayesian Networks. - Chee-Keong Kwoh 001; Duncan Fyfe Gillies (Artif. Intell., 1996)

Choice of error cost function for training unobservable nodes in Bayesian networks. - Chee-Keong Kwoh 001; Duncan Fyfe Gillies (KES (2), 1997)

Probabilistic reasoning and multiple-expert methodology for correlated objective data. - Chee-Keong Kwoh 001; Duncan Fyfe Gillies (Artif. Intell. Eng., 1998)

Tessellated Surface Reconstruction from 2D Contours. - Chee Fatt Chan; Chee-Keong Kwoh 001; Ming Yeong Teo; Wan Sing Ng (MICCAI, 1999)

Interactive Surgical Planning Using Context Based Volume Visualization Techniques. - Zou Qingsong; Chee-Keong Kwoh 001; Wan Sing Ng (MIAR, 2001)

Convex object based volume visualization: a formal proof and example. - Zou Qingsong; Chee-Keong Kwoh 001; Wan Sing Ng (Comput. Graph., 2001)

The safety issues of medical robotics. - Baowei Fei; Wan Sing Ng; Sunita Chauhan; Chee-Keong Kwoh 001 (Reliab. Eng. Syst. Saf., 2001)

Computer-assisted transurethral laser resection of the prostate (CALRP): theoretical and experimental motion plan. - Gideon Ho; Wan Sing Ng; Ming Yeong Teo; Chee-Keong Kwoh 001; Christopher Wai Sam Cheng (IEEE Trans. Biomed. Eng., 2001)

Dynamic Algorithm for Inferring Qualitative Models of Gene Regulatory Networks. - Zheng Yun; Kwoh Chee Keong 001 (CSB, 2004)

Reconstructing Boolean networks from noisy gene expression data. - Zheng Yun; Kwoh Chee Keong 001 (ICARCV, 2004)

Motion Recovery Based on Feature Extraction from 2D Images. - Jianhui Zhao; Ling Li 006; Kwoh Chee Keong 001 (ICCVG, 2004)

Fast Leave-One-Out Evaluation and Improvement on Inference for LS-SVMs. - Zhao Ying; Kwoh Chee Keong 001 (ICPR (3), 2004)

The Pattern Classification Based on the Nearest Feature Midpoints. - Zonglin Zhou; Chee Keong Kwoh 001 (ICPR (3), 2004)

Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach. - Zheng Yun; Kwoh Chee Keong 001 (CSB, 2005)

Applying the Clonal Selection Principle to Find Flexible Job-Shop Schedules. - Z. X. Ong; Joc Cing Tay; Chee-Keong Kwoh 001 (ICARIS, 2005)

3D Posture Reconstruction and Human Animation from 2D Feature Points. - Jianhui Zhao; Ling Li 006; Kwoh Chee Keong 001 (Comput. Graph. Forum, 2005)

Human Posture Reconstruction And Animation From Monocular Images Based On Genetic Algorithms. - Jianhui Zhao; Ling Li 006; Kwoh Chee Keong 001 (Int. J. Image Graph., 2005)

u-Genome: A Database on Genome Design in Unicellular Genomes. - Kishore R. Sakharkar; Iti Chaturvedi; Vincent T. K. Chow; Chee Keong Kwoh 001; Pandjassarame Kangueane; Meena Kishore Sakharkar (Silico Biol., 2005)

Functional Prediction of Snake Neurotoxins. - Seng Hong Seah; Chee Keong Kwoh 001; Vladimir Brusic; Meena Kishore Sakharkar; Geok See Ng (ICARCV, 2006)

Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (International Conference on Computational Science (2), 2006)

Extreme Learning Machine for Predicting HLA-Peptide Binding. - Stephanus Daniel Handoko; Chee Keong Kwoh 001; Yew-Soon Ong; Guanglan Zhang; Vladimir Brusic (ISNN (2), 2006)

Informative MicroRNA Expression Patterns for Cancer Classification. - Yun Zheng; Chee Keong Kwoh 001 (BioDM, 2006)

Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks. - Yun Zheng; Chee Keong Kwoh 001 (Int. J. Data Min. Bioinform., 2006)

Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach. - Yun Zheng; Chee Keong Kwoh 001 (J. Comput., 2006)

Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (CIDM, 2007)

Training the Hidden Vector State Model from Un-annotated Corpus. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (International Conference on Computational Science (2), 2007)

Parallel DNA Sequence Alignment on the Cell Broadband Engine. - Adrianto Wirawan; Chee Keong Kwoh 001; Bertil Schmidt (PPAM, 2007)

Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001; Hao Wang (PRIB, 2007)

Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (Artif. Intell. Medicine, 2007)

A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients. - Stephanus Daniel Handoko; Chee Keong Kwoh 001; Yew-Soon Ong; Meng-Hiot Lim (IEEE Congress on Evolutionary Computation, 2008)

Using classification for constrained memetic algorithm: A new paradigm. - Stephanus Daniel Handoko; Chee Keong Kwoh 001; Yew-Soon Ong (SMC, 2008)

CBESW: Sequence Alignment on the Playstation 3. - Adrianto Wirawan; Chee Keong Kwoh 001; Nim Tri Hieu; Bertil Schmidt (BMC Bioinform., 2008)

Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes. - Guanglan Zhang; Asif M. Khan; Kellathur N. Srinivasan; A. T. Heiny; Kenneth X. Lee; Chee Keong Kwoh 001; J. Thomas August; Vladimir Brusic (BMC Bioinform., 2008)

Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (Int. J. Bioinform. Res. Appl., 2008)

From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (Computational Intelligence in Biomedicine and Bioinformatics, 2008)

Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems. - Stephanus Daniel Handoko; Chee Keong Kwoh 001; Yew-Soon Ong (Australasian Conference on Artificial Intelligence, 2009)

Pairwise Distance Matrix Computation for Multiple Sequence Alignment on the Cell Broadband Engine. - Adrianto Wirawan; Bertil Schmidt; Chee Keong Kwoh 001 (ICCS (1), 2009)

A GA-SVM Feature Selection Model Based on High Performance Computing Techniques. - Tianyou Zhang; Xiuju Fu; Rick Siow Mong Goh; Chee Keong Kwoh 001; Gary Kee Khoon Lee (SMC, 2009)

A core-attachment based method to detect protein complexes in PPI networks. - Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001; See-Kiong Ng (BMC Bioinform., 2009)

Brief Overview of Bioinformatics Activities in Singapore. - Frank Eisenhaber; Chee Keong Kwoh 001; See-Kiong Ng; Wing-Kin Sung; Limsoon Wong (PLoS Comput. Biol., 2009)

High performance protein sequence database scanning on the Cell Broadband Engine. - Adrianto Wirawan; Bertil Schmidt; Huiliang Zhang; Chee Keong Kwoh 001 (Sci. Program., 2009)

Outcomes of gene association analysis of cancer microarray data are impacted by pre-processing algorithms. - N. Baskaran; Chee Keong Kwoh 001; Kam M. Hui (BIBM, 2010)

A possible mutation that enables H1N1 influenza a virus to escape antibody recognition. - Chinh T. T. Su; Stephanus Daniel Handoko; Chee Keong Kwoh 001; Christian Schönbach; Xiaoli Li 001 (BIBM, 2010)

Structural analysis of (TCR - )HLA/peptide complexes: An initial study. - Stephanus Daniel Handoko; Chinh Tran To Su; Chee Keong Kwoh 001; Yew-Soon Ong (BIBM Workshops, 2010)

Bioinformatics approaches in tuberculosis vaccination strategies by whole genome sequence. - Ai Ling Ong; Chee Keong Kwoh 001 (BIBM Workshops, 2010)

A Vaccine Strategy for Plant Allergy by RNA Interference - An in Silico Approach. - Ramya Ramadoss; Chee Keong Kwoh 001 (CSBio, 2010)

INVERTER: INtegrated Variable numbER Tandem rEpeat findeR. - Adrianto Wirawan; Chee Keong Kwoh 001; Li Yang Hsu; Tse Hsien Koh (CSBio, 2010)

Multi-threaded vectorized distance matrix computation on the CELL/BE and x86/SSE2 architectures. - Adrianto Wirawan; Chee Keong Kwoh 001; Bertil Schmidt (Bioinform., 2010)

Integrating diverse biological and computational sources for reliable protein-protein interactions. - Min Wu 008; Xiaoli Li 001; Hon Nian Chua; Chee Keong Kwoh 001; See-Kiong Ng (BMC Bioinform., 2010)

Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms. - Stephanus Daniel Handoko; Chee Keong Kwoh 001; Yew-Soon Ong (IEEE Trans. Evol. Comput., 2010)

Phylogenetic and mutational analysis of 2008, 2009 & 2010 neuraminidase of H1N1 influenza A. - Chee Keong Kwoh 001; Lakshmi Chandrasekaran (BCB, 2011)

Prediction of Trans-regulators of Recombination Hotspots in Mouse Genome. - Min Wu 008; Chee Keong Kwoh 001; Teresa M. Przytycka; Jing Li 002; Jie Zheng 002 (BIBM, 2011)

Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. - Stephanus Daniel Handoko; Chee Keong Kwoh 001; Yew-Soon Ong; Jonathan H. Chan (IEEE Congress on Evolutionary Computation, 2011)

A hybrid framework for genome wide epistasis discovery. - Zehao Tan; Zhuo Zhang 001; Jiang Liu 001; Chee Keong Kwoh 001; Sim Heng Ong; Yik Ying Teo; Chiea-Chuen Khor; E. Shyong Tai; Tin Aung; Eranga Vithana; Tien Yin Wong (EMBC, 2011)

MRMR optimized classification for automatic glaucoma diagnosis. - Zhuo Zhang 001; Chee Keong Kwoh 001; Jiang Liu 001; Fengshou Yin; Adrianto Wirawan; Carol Yim-lui Cheung; Mani Baskaran; Tin Aung; Tien Yin Wong (EMBC, 2011)

Analyzing Trends of Hospital Length of Stay Using Phase-Type Distributions. - Truc Viet Le; Chee Keong Kwoh 001; Eng Soon Teo; Kheng Hock Lee (ICDM Workshops, 2011)

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? - Qian Liu 014; Steven C. H. Hoi; Chinh T. T. Su; Zhenhua Li; Chee Keong Kwoh 001; Limsoon Wong; Jinyan Li 001 (Bioinform., 2011)

Construction of co-complex score matrix for protein complex prediction from AP-MS data. - Zhipeng Xie; Chee Keong Kwoh 001; Xiaoli Li 001; Min Wu 008 (Bioinform., 2011)

A Feature Subset Selection Method Based On High-Dimensional Mutual Information. - Yun Zheng; Chee Keong Kwoh 001 (Entropy, 2011)

Trend Analysis of Length of Stay Data via Phase-Type Models. - Truc Viet Le; Chee Keong Kwoh 001; Kheng Hock Lee; Eng Soon Teo (Int. J. Knowl. Discov. Bioinform., 2011)

Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse. - Min Wu 008; Chee Keong Kwoh 001; Teresa M. Przytycka; Jing Li 002; Jie Zheng 002 (BCB, 2012)

NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots. - Min Wu 008; Chee Keong Kwoh 001; Jie Zheng 002; Xiaoli Li 001 (BCB, 2012)

GPU Accelerated Molecular Docking with Parallel Genetic Algorithm. - Xuchang Ouyang; Chee Keong Kwoh 001 (ICPADS, 2012)

Globalized bipartite local model for drug-target interaction prediction. - Jian-Ping Mei; Chee Keong Kwoh 001; Peng Yang 010; Xiaoli Li 001; Jie Zheng 002 (BIOKDD, 2012)

A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic. - Tianyou Zhang; Michael Lees; Chee Keong Kwoh 001; Xiuju Fu; Gary Kee Khoon Lee; Rick Siow Mong Goh (WSC, 2012)

Positive-unlabeled learning for disease gene identification. - Peng Yang 010; Xiaoli Li 001; Jian-Ping Mei; Chee Keong Kwoh 001; See-Kiong Ng (Bioinform., 2012)

A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules. - Mostafa Mostafa Hashim Ellabaan; Stephanus Daniel Handoko; Yew-Soon Ong; Chee Keong Kwoh 001; S. A. Bahnassy; F. M. Elassawy; H. Y. Man (Comput. Math. Appl., 2012)

Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data. - Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001; See-Kiong Ng; Limsoon Wong (J. Comput. Biol., 2012)

Preface: Computational Systems-Biology and Bioinformatics. - Jonathan Hoyin Chan; Asawin Meechai; Chee Keong Kwoh 001 (CSBio, 2012)

Comparison of Structure-based Tools for the Prediction of Ligand Binding Site Residues in Apo-structures. - Ali Ezzat; Chee Keong Kwoh 001 (CSBio, 2012)

Identify Predictive SNP groups in Genome Wide Association Study: A Sparse Learning Approach. - Zhuo Zhang 001; Yanwu Xu 001; Jiang Liu 001; Chee Keong Kwoh 001 (CSBio, 2012)

QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization. - Stephanus Daniel Handoko; Xuchang Ouyang; Chinh Tran To Su; Chee Keong Kwoh 001; Yew-Soon Ong (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Erratum to "QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization". - Stephanus Daniel Handoko; Xuchang Ouyang; Chinh Tran To Su; Chee Keong Kwoh 001; Yew-Soon Ong (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer. - Min Wu 008; Xuejuan Li; Fan Zhang 089; Xiaoli Li 001; Chee Keong Kwoh 001; Jie Zheng 002 (BCB, 2013)

Review of tandem repeat search tools: a systematic approach to evaluating algorithmic performance. - Kian Guan Lim; Chee Keong Kwoh 001; Li Yang Hsu; Adrianto Wirawan (Briefings Bioinform., 2013)

Drug-target interaction prediction by learning from local information and neighbors. - Jian-Ping Mei; Chee Keong Kwoh 001; Peng Yang 010; Xiaoli Li 001; Jie Zheng 002 (Bioinform., 2013)

Structural analysis on mutation residues and interfacial water molecules for human TIM disease understanding. - Zhenhua Li; Ying He 001; Qian Liu 014; Liang Zhao; Limsoon Wong; Chee Keong Kwoh 001; Hung T. Nguyen 001; Jinyan Li 001 (BMC Bioinform., 2013)

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. - Chinh Tran To Su; Xuchang Ouyang; Jie Zheng 002; Chee Keong Kwoh 001 (BMC Bioinform., 2013)

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. - Chinh T. T. Su; Christian Schönbach; Chee Keong Kwoh 001 (BMC Bioinform., 2013)

Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing. - Mostafa Mostafa Hashim Ellabaan; Yew-Soon Ong; Stephanus Daniel Handoko; Chee Keong Kwoh 001; H. Y. Man (IEEE Comput. Intell. Mag., 2013)

Improved Time Complexities for Learning Boolean Networks. - Yun Zheng; Chee Keong Kwoh 001 (Entropy, 2013)

Using causality modeling and Fuzzy Lattice Reasoning algorithm for predicting blood glucose. - Simon Fong 001; Sabah Mohammed; Jinan Fiaidhi; Chee Keong Kwoh 001 (Expert Syst. Appl., 2013)

Comprehensive detection of cancer gene expression profiles and gene networks are impacted by the choice of pre-processing algorithm and gene-selection method. - N. Baskaran; Chee Keong Kwoh 001; Kam M. Hui (Int. J. Data Min. Bioinform., 2013)

Research and applications: Automatic glaucoma diagnosis through medical imaging informatics. - Jiang Liu 001; Zhuo Zhang 001; Damon Wing Kee Wong; Yanwu Xu 001; Fengshou Yin; Jun Cheng 003; Ngan Meng Tan; Chee Keong Kwoh 001; Dong Xu 001; Yih Chung Tham; Tin Aung; Tien Yin Wong (J. Am. Medical Informatics Assoc., 2013)

CovalentDock: Automated covalent docking with parameterized covalent linkage energy estimation and molecular geometry constraints. - Xuchang Ouyang; Shuo Zhou; Chinh Tran To Su; Zemei Ge; Runtao Li; Chee Keong Kwoh 001 (J. Comput. Chem., 2013)

Binding Affinity Prediction for Protein-Ligand Complexes Based on β Contacts and B Factor. - Qian Liu 014; Chee Keong Kwoh 001; Jinyan Li 001 (J. Chem. Inf. Model., 2013)

CovalentDock Cloud: a web server for automated covalent docking. - Xuchang Ouyang; Shuo Zhou; Zemei Ge; Runtao Li; Chee Keong Kwoh 001 (Nucleic Acids Res., 2013)

Fast dendrogram-based OTU clustering using sequence embedding. - Thuy-Diem Nguyen; Bertil Schmidt; Chee-Keong Kwoh 001 (BCB, 2014)

Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways. - Fan Zhang 089; Chee Keong Kwoh 001; Min Wu 008; Jie Zheng 002 (BCB, 2014)

Automatic sleep onset detection using single EEG sensor. - Zhuo Zhang 001; Cuntai Guan; Ti-Eu Chan; Juanhong Yu; Andrew Keong Ng; Haihong Zhang; Chee Keong Kwoh 001 (EMBC, 2014)

SparseHC: A Memory-efficient Online Hierarchical Clustering Algorithm. - Thuy-Diem Nguyen; Bertil Schmidt; Chee Keong Kwoh 001 (ICCS, 2014)

Parameter estimation and simulation for one-choice Ratcliff diffusion model. - Amiya Patanaik; Vitali Zagorodnov; Chee-Keong Kwoh 001 (SAC, 2014)

Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots. - Qian Liu 014; Steven C. H. Hoi; Chee Keong Kwoh 001; Limsoon Wong; Jinyan Li 001 (BMC Bioinform., 2014)

IFACEwat: the interfacial water-implemented re-ranking algorithm to improve the discrimination of near native structures for protein rigid docking. - Chinh Tran To Su; Thuy-Diem Nguyen; Jie Zheng 002; Chee Keong Kwoh 001 (BMC Bioinform., 2014)

LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms. - Peng Yang 010; Min Wu 008; Jing Guo; Chee Keong Kwoh 001; Teresa M. Przytycka; Jie Zheng 002 (BMC Bioinform., 2014)

Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast. - Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Jie Zheng 002 (BMC Syst. Biol., 2014)

A survey on computer aided diagnosis for ocular diseases. - Zhuo Zhang 001; Ruchir Srivastava; Huiying Liu; Xiangyu Chen; Lixin Duan; Damon Wing Kee Wong; Chee Keong Kwoh 001; Tien Yin Wong; Jiang Liu 001 (BMC Medical Informatics Decis. Mak., 2014)

Reliable and Fast Estimation of Recombination Rates by Convergence Diagnosis and Parallel Markov Chain Monte Carlo. - Jing Guo; Ritika Jain; Peng Yang 010; Rui Fan; Chee Keong Kwoh 001; Jie Zheng 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Fast, accurate, and reliable molecular docking with QuickVina 2. - Amr Alhossary; Stephanus Daniel Handoko; Yuguang Mu; Chee Keong Kwoh 001 (Bioinform., 2015)

Classification and its application to drug-target interaction prediction. - Jian-Ping Mei; Chee Keong Kwoh 001; Peng Yang 010; Xiaoli Li 001 (CoRR, 2015)

Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates. - Fan Zhang 089; Min Wu 008; Xuejuan Li; Xiaoli Li 001; Chee Keong Kwoh 001; Jie Zheng 002 (J. Bioinform. Comput. Biol., 2015)

Reliable Feature Selection for Automated Angle Closure Glaucoma Mechanism Detection. - S. Issac Niwas; Weisi Lin; Xiaolong Bai; Chee Keong Kwoh 001; Chelvin C. Sng; Maria Cecilia Aquino; Paul T. K. Chew (J. Medical Syst., 2015)

Efficient and Accurate OTU Clustering with GPU-Based Sequence Alignment and Dynamic Dendrogram Cutting. - Thuy-Diem Nguyen; Bertil Schmidt; Zejun Zheng; Chee-Keong Kwoh 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Clustering based active learning for biomedical Named Entity Recognition. - Xu Han 008; Chee Keong Kwoh 001; Jung-Jae Kim 001 (IJCNN, 2016)

Active learning for ontological event extraction incorporating named entity recognition and unknown word handling. - Xu Han 008; Jung-Jae Kim 001; Chee Keong Kwoh 001 (J. Biomed. Semant., 2016)

Drug-target interaction prediction via class imbalance-aware ensemble learning. - Ali Ezzat; Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001 (BMC Bioinform., 2016)

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. - Hong Pan; Joanna D. Holbrook; Neerja Karnani; Chee Keong Kwoh 001 (BMC Bioinform., 2016)

Complex wavelet based quality assessment for AS-OCT images with application to Angle Closure Glaucoma diagnosis. - Swamidoss Issac Niwas; Vinit Jakhetiya; Weisi Lin; Chee Keong Kwoh 001; Chelvin C. Sng; Maria Cecilia Aquino; Victor Koh; Paul T. K. Chew (Comput. Methods Programs Biomed., 2016)

Automated anterior segment OCT image analysis for Angle Closure Glaucoma mechanisms classification. - Swamidoss Issac Niwas; Weisi Lin; Xiaolong Bai; Chee Keong Kwoh 001; C.-C. Jay Kuo; Chelvin C. Sng; Maria Cecilia Aquino; Paul T. K. Chew (Comput. Methods Programs Biomed., 2016)

Learning ECOC Code Matrix for Multiclass Classification with Application to Glaucoma Diagnosis. - Xiaolong Bai; Swamidoss Issac Niwas; Weisi Lin; Bing-Feng Ju; Chee Keong Kwoh 001; Lipo Wang; Chelvin C. Sng; Maria Cecilia Aquino; Paul T. K. Chew (J. Medical Syst., 2016)

Cross-Examination for Angle-Closure Glaucoma Feature Detection. - Swamidoss Issac Niwas; Weisi Lin; Chee Keong Kwoh 001; C.-C. Jay Kuo; Chelvin C. Sng; Maria Cecilia Aquino; Paul T. K. Chew (IEEE J. Biomed. Health Informatics, 2016)

Phylogenetic Tree based Method for Uncovering Co-mutational Site-pairs in Influenza Viruses. - Fransiskus Xaverius Ivan; Xinrui Zhou; Akhila Deshpande; Rui Yin 002; Jie Zheng 002; Chee Keong Kwoh 001 (BCB, 2017)

AI and Big Data Analytics for Health and Bioinformatics. - Chee Keong Kwoh 001 (CSBio, 2017)

Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains. - Rui Yin 002; Xinrui Zhou; Fransiskus Xaverius Ivan; Jie Zheng 002; Vincent T. K. Chow; Chee Keong Kwoh 001 (ICBBS, 2017)

Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data. - Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai; Chee-Keong Kwoh 001 (CoRR, 2017)

Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. - Ali Ezzat; Peilin Zhao; Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. - Xinrui Zhou; Jie Zheng 002; Fransiskus Xaverius Ivan; Rui Yin 002; Shoba Ranganathan; Vincent T. K. Chow; Chee-Keong Kwoh 001 (BMC Genom., 2018)

Proposing drug fragments for dengue virus NS5 protein. - Amr Alhossary; Yaw Awuni; Chee Keong Kwoh 001; Yuguang Mu (J. Bioinform. Comput. Biol., 2018)

Computational identification of physicochemical signatures for host tropism of influenza A virus. - Rui Yin 002; Xinrui Zhou; Jie Zheng 002; Chee Keong Kwoh 001 (J. Bioinform. Comput. Biol., 2018)

Fast Top-N Personalized Recommendation on Item Graph. - Zhuoyi Lin; Lei Feng 006; Chee-Keong Kwoh 001; Chi Xu (IEEE BigData, 2019)

An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification. - Xinrui Zhou; Rui Yin 002; Jie Zheng 002; Chee Keong Kwoh 001 (IEEE Access, 2019)

Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey. - Ali Ezzat; Min Wu 008; Xiaoli Li 001; Chee Keong Kwoh 001 (Briefings Bioinform., 2019)

MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters. - Meng Zhang 046; Fuyi Li; Tatiana T. Marquez-Lago; André Leier; Cunshuo Fan; Chee Keong Kwoh 001; Kuo-Chen Chou; Jiangning Song; Cangzhi Jia (Bioinform., 2019)

An improved random forest-based computational model for predicting novel miRNA-disease associations. - Dengju Yao; Xiaojuan Zhan; Chee-Keong Kwoh 001 (BMC Bioinform., 2019)

Characterization of Hydration Properties in Structural Ensembles of Biomolecules. - Mohan R. Pradhan; Minh N. Nguyen; Srinivasaraghavan Kannan; Stephen J. Fox; Chee Keong Kwoh 001; David P. Lane; Chandra S. Verma 001 (J. Chem. Inf. Model., 2019)

Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge. - Pingjian Ding; Rui Yin 002; Jiawei Luo 001; Chee Keong Kwoh 001 (IEEE J. Biomed. Health Informatics, 2019)

Natural Language Processing Approaches in Bioinformatics. - Xu Han 008; Chee Keong Kwoh 001 (Encyclopedia of Bioinformatics and Computational Biology (1), 2019)

Genome Analysis - Identification of Genes Involved in Host-Pathogen Protein-Protein Interaction Networks. - Fransiskus Xaverius Ivan; Chee-Keong Kwoh 001; Vincent T. K. Chow; Jie Zheng 002 (Encyclopedia of Bioinformatics and Computational Biology (3), 2019)

Whole Genome Sequencing Analysis. - Rui Yin 002; Chee Keong Kwoh 001; Jie Zheng 002 (Encyclopedia of Bioinformatics and Computational Biology (3), 2019)

Molecular Dynamics and Simulation. - Liangzhen Zheng; Amr Alhossary; Chee-Keong Kwoh 001; Yuguang Mu (Encyclopedia of Bioinformatics and Computational Biology (2), 2019)

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. - Yahui Long; Yu Zhang 084; Min Wu 008; Shaoliang Peng; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (BIBM, 2020)

Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy. - Yu Zhang 084; Zhuoyi Lin; Chee Keong Kwoh 001 (ICCS (5), 2020)

Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (ICPHM, 2020)

Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. - Xiaosha Cai; Dong Huang 001; Chang-Dong Wang 001; Chee-Keong Kwoh 001 (PAKDD (1), 2020)

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation. - Yu Zhang 084; Yahui Long; Rui Yin 002; Chee Keong Kwoh 001 (IEEE Access, 2020)

Heterogeneous information network and its application to human health and disease. - Pingjian Ding; Wenjue Ouyang; Jiawei Luo 001; Chee-Keong Kwoh 001 (Briefings Bioinform., 2020)

Ensembling graph attention networks for human microbe-drug association prediction. - Yahui Long; Min Wu 008; Yong Liu 020; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2020)

Predicting human microbe-drug associations via graph convolutional network with conditional random field. - Yahui Long; Min Wu 008; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2020)

Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks. - Rui Yin 002; Emil Luusua; Jan Dabrowski; Yu Zhang 084; Chee Keong Kwoh 001 (Bioinform., 2020)

A random forest based computational model for predicting novel lncRNA-disease associations. - Dengju Yao; Xiaojuan Zhan; Xiaorong Zhan; Chee Keong Kwoh 001; Peng Li; Jinke Wang (BMC Bioinform., 2020)

Deep learning based DNA: RNA triplex forming potential prediction. - Yu Zhang 084; Yahui Long; Chee Keong Kwoh 001 (BMC Bioinform., 2020)

Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (CoRR, 2020)

COMET: Convolutional Dimension Interaction for Deep Matrix Factorization. - Zhuoyi Lin; Lei Feng 006; Xingzhi Guo; Rui Yin 002; Chee Keong Kwoh 001; Chi Xu (CoRR, 2020)

Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks. - Rui Yin 002; Yu Zhang 084; Xinrui Zhou; Chee Keong Kwoh 001 (J. Bioinform. Comput. Biol., 2020)

Ultra-Scalable Spectral Clustering and Ensemble Clustering. - Dong Huang 001; Chang-Dong Wang 001; Jian-Sheng Wu; Jian-Huang Lai; Chee-Keong Kwoh 001 (IEEE Trans. Knowl. Data Eng., 2020)

Time-Series Representation Learning via Temporal and Contextual Contrasting. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IJCAI, 2021)

Chromatin loop anchors predict transcript and exon usage. - Yu Zhang 084; Yichao Cai; Xavier Roca; Chee Keong Kwoh 001; Melissa Jane Fullwood (Briefings Bioinform., 2021)

Recent advances in network-based methods for disease gene prediction. - Sezin Kircali Ata; Min Wu 008; Yuan Fang 001; Le Ou-Yang; Chee Keong Kwoh 001; Xiaoli Li 001 (Briefings Bioinform., 2021)

DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction. - Yu Zhang 084; Cangzhi Jia; Melissa Jane Fullwood; Chee Keong Kwoh 001 (Briefings Bioinform., 2021)

Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach. - Yu Zhang 084; Cangzhi Jia; Chee Keong Kwoh 001 (Briefings Bioinform., 2021)

Graph contextualized attention network for predicting synthetic lethality in human cancers. - Yahui Long; Min Wu 008; Yong Liu 020; Jie Zheng 002; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2021)

VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments. - Rui Yin 002; Zihan Luo 001; Pei Zhuang; Zhuoyi Lin; Chee Keong Kwoh 001 (Bioinform., 2021)

Class similarity network for coding and long non-coding RNA classification. - Yu Zhang 084; Yahui Long; Chee Keong Kwoh 001 (BMC Bioinform., 2021)

Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (CoRR, 2021)

Attention-based sequence to sequence model for machine remaining useful life prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (Neurocomputing, 2021)

GLIMG: Global and local item graphs for top-N recommender systems. - Zhuoyi Lin; Lei Feng 006; Rui Yin 002; Chi Xu; Chee Keong Kwoh 001 (Inf. Sci., 2021)

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chuan Sheng Foo; Chee Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Ind. Informatics, 2021)

Adversarial Multiple-Target Domain Adaptation for Fault Classification. - Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Haoliang Li; Chee-Keong Kwoh 001; Ruqiang Yan 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2021)

Multi-View Collaborative Network Embedding. - Sezin Kircali Ata; Yuan Fang 001; Min Wu 008; Jiaqi Shi; Chee Keong Kwoh 001; Xiaoli Li 001 (ACM Trans. Knowl. Discov. Data, 2021)

Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities. - Dong Huang 001; Chang-Dong Wang 001; Hongxing Peng; Jianhuang Lai; Chee-Keong Kwoh 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A heterogeneous graph cross-omics attention model for single-cell representation learning. - Yue Liu; Junfeng Zhang; Shulin Wang; Wei Zhang 089; Xiangxiang Zeng; Chee Keong Kwoh 001 (BIBM, 2022)

Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network. - Chenyang Li 005; Chee Keong Kwoh 001; Xiaoli Li 001; Lingfei Mo; Ruqiang Yan 001 (ICARCV, 2022)

Graph representation learning in bioinformatics: trends, methods and applications. - Hai-Cheng Yi; Zhu-Hong You; De-Shuang Huang; Chee Keong Kwoh 001 (Briefings Bioinform., 2022)

A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods. - Rui Yin 002; Xianghe Zhu; Min Zeng; Pengfei Wu; Min Li 007; Chee Keong Kwoh 001 (Briefings Bioinform., 2022)

Pre-training graph neural networks for link prediction in biomedical networks. - Yahui Long; Min Wu 008; Yong Liu 020; Yuan Fang 001; Chee Keong Kwoh 001; Jinmiao Chen; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2022)

Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; Chi Xu; Chee Keong Kwoh 001 (CoRR, 2022)

Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (CoRR, 2022)

CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (CoRR, 2022)

An Efficient Multiresolution Clustering for Motif Discovery in Complex Networks. - Mahdi Pursalim; Kwoh Chee Keong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus. - Rui Yin 002; Nyi Nyi Thwin; Pei Zhuang; Zhuoyi Lin; Chee Keong Kwoh 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond. - Dong Huang 001; Chang-Dong Wang 001; Jian-Huang Lai; Chee Keong Kwoh 001 (IEEE Trans. Cybern., 2022)

Conditional Contrastive Domain Generalization for Fault Diagnosis. - Mohamed Ragab 002; Zhenghua Chen; Wenyu Zhang 003; Emadeldeen Eldele; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Instrum. Meas., 2022)

Jupytope: computational extraction of structural properties of viral epitopes. - Shamima Rashid; Teng Ann Ng; Chee Keong Kwoh 001 (Briefings Bioinform., 2022)

PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. - Zhang Wan; Zhuoyi Lin; Shamima Rashid; Shaun Yue-Hao Ng; Rui Yin 002; J. Senthilnath 001; Chee Keong Kwoh 001 (BIBM, 2023)

PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection. - Yubo Hou; Tram Truong Huu; Zhenghua Chen; Chee-Keong Kwoh 001; Sin G. Teo (ICDM (Workshops), 2023)

Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation. - Gabriel Tjio; Ping Liu 004; Chee-Keong Kwoh 001; Joey Tianyi Zhou (CoRR, 2023)

Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation. - Gabriel Tjio; Ping Liu 004; Yawei Luo; Chee Keong Kwoh 001; Joey Tianyi Zhou (CoRR, 2023)

Directed collaboration patterns in funded teams: A perspective of knowledge flow. - Bentao Zou; Yuefen Wang; Chee Keong Kwoh 001; Yonghua Cen (Inf. Process. Manag., 2023)

Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction. - Shamima Rashid; Suresh Sundaram 002; Chee Keong Kwoh 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Wee Ling Tan; Chuan-Sheng Foo; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (ACM Trans. Knowl. Discov. Data, 2023)

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Virulence network of interacting domains of influenza a and mouse proteins. - Teng Ann Ng; Shamima Rashid; Chee Keong Kwoh 001 (Frontiers Bioinform., 2023)

ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. - Rui Yin 002; Zihan Luo 001; Pei Zhuang; Min Zeng; Min Li 007; Zhuoyi Lin; Chee Keong Kwoh 001 (J. Biomed. Informatics, 2023)

COMET: Convolutional Dimension Interaction for Collaborative Filtering. - Zhuoyi Lin; Lei Feng 006; Xingzhi Guo; Yu Zhang 084; Rui Yin 002; Chee Keong Kwoh 001; Chi Xu (ACM Trans. Intell. Syst. Technol., 2023)

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; J. Senthilnath 001; Chi Xu; Chee Keong Kwoh 001 (IEEE Trans. Knowl. Data Eng., 2023)

A universal transfer network for machinery fault diagnosis. - Xiaolei Yu; Zhibin Zhao; Xingwu Zhang; Shaohua Tian; Chee-Keong Kwoh 001; Xiaoli Li 001; Xuefeng Chen 002 (Comput. Ind., 2023)

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001; Cuntai Guan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SMMGCL: a novel multi-level graph contrastive learning framework for integrating spatial multi-omics data. - Bo Wang; Wei Liu; Jiawei Luo 001; Xiangtao Chen; Chee Keong Kwoh 001 (BIBM, 2024)

RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method. - Lai Heng Tan; Chee Keong Kwoh 001; Yuguang Mu (Briefings Bioinform., 2024)

STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution. - Bo Wang; Yahui Long; Yuting Bai; Jiawei Luo 001; Chee Keong Kwoh 001 (Briefings Bioinform., 2024)

MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning. - Lin-Xuan Hou; Hai-Cheng Yi; Zhu-Hong You; Shi-Hong Chen; Jia Zheng; Chee Keong Kwoh 001 (Comput. Biol. Medicine, 2024)

Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction. - Akash Bahai; Chee Keong Kwoh 001; Yuguang Mu; Yinghui Li (PLoS Comput. Biol., 2024)

A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples. - Ke Yue; Jipu Li; Shuhan Deng; Chee Keong Kwoh 001; Zhuyun Chen 001; Weihua Li 004 (Reliab. Eng. Syst. Saf., 2024)

Self-Supervised Autoregressive Domain Adaptation for Time Series Data. - Mohamed Ragab 002; Emadeldeen Eldele; Zhenghua Chen; Min Wu 008; Chee-Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiaoli Li 001 (IEEE Trans. Artif. Intell., 2024)

Label-Efficient Time Series Representation Learning: A Review. - Emadeldeen Eldele; Mohamed Ragab 002; Zhenghua Chen; Min Wu 008; Chee Keong Kwoh 001; Xiao-Li Li 001 (IEEE Trans. Artif. Intell., 2024)

DeepPhosPPI: a deep learning framework with attention-CNN and transformer for predicting phosphorylation effects on protein-protein interactions. - Yinyin Gong; Rui Li 019; Yan Liu 032; Jilong Wang 002; Danny Z. Chen; Chee Keong Kwoh 001 (Briefings Bioinform., 2025)

Evidential Domain Adaptation for Remaining Useful Life Prediction With Incomplete Degradation. - Yubo Hou; Mohamed Ragab 002; Yucheng Wang 001; Min Wu 008; Abdulla Alseiari; Chee Keong Kwoh 001; Xiaoli Li 001; Zhenghua Chen (IEEE Trans. Instrum. Meas., 2025)

Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning. - Hanxuan Wang; Na Lu; Xueying Zhao; Yuxuan Yan; Kaipeng Ma; Kwoh Chee Keong 001; Gustavo Carneiro 001 (CoRR, 2025)

Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment. - Yanru Sun; Emadeldeen Eldele; Zongxia Xie; Yucheng Wang 001; Wenzhe Niu; Qinghua Hu; Chee Keong Kwoh 001; Min Wu 008 (CoRR, 2025)