Chee Keong Kwoh

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 71

Top Venues

Publications

Lin-Xuan Hou, Hai-Cheng Yi, Zhu-Hong You, Shi-Hong Chen, Jia Zheng, Chee Keong Kwoh
MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning. Comput. Biol. Medicine 177 (2024)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. IEEE Trans. Artif. Intell. 5 (3) (2024)
Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. J. Biomed. Informatics 142 (2023)
Bentao Zou, Yuefen Wang, Chee Keong Kwoh, Yonghua Cen
Directed collaboration patterns in funded teams: A perspective of knowledge flow. Inf. Process. Manag. 60 (2) (2023)
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
Label-efficient Time Series Representation Learning: A Review. CoRR (2023)
Gabriel Tjio, Ping Liu, Yawei Luo, Chee Keong Kwoh, Joey Tianyi Zhou
Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation. CoRR (2023)
Shamima Rashid, Suresh Sundaram, Chee Keong Kwoh
Empirical Study of Protein Feature Representation on Deep Belief Networks Trained With Small Data for Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Teng Ann Ng, Shamima Rashid, Chee Keong Kwoh
Virulence network of interacting domains of influenza a and mouse proteins. Frontiers Bioinform. 3 (2023)
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Yu Zhang, Rui Yin, Chee Keong Kwoh, Chi Xu
COMET: Convolutional Dimension Interaction for Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 14 (4) (2023)
Zhang Wan, Zhuoyi Lin, Shamima Rashid, Shaun Yue-Hao Ng, Rui Yin, J. Senthilnath, Chee Keong Kwoh
PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction. BIBM (2023)
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh
Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. CoRR (2022)
Yue Liu, Junfeng Zhang, Shulin Wang, Wei Zhang, Xiangxiang Zeng, Chee Keong Kwoh
A heterogeneous graph cross-omics attention model for single-cell representation learning. BIBM (2022)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee Keong Kwoh
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond. IEEE Trans. Cybern. 52 (11) (2022)
Rui Yin, Xianghe Zhu, Min Zeng, Pengfei Wu, Min Li, Chee Keong Kwoh
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods. Briefings Bioinform. 23 (5) (2022)
Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. CoRR (2022)
Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Chee Keong Kwoh
Graph representation learning in bioinformatics: trends, methods and applications. Briefings Bioinform. 23 (1) (2022)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. CoRR (2022)
Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li
Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. 38 (8) (2022)
Chenyang Li, Chee Keong Kwoh, Xiaoli Li, Lingfei Mo, Ruqiang Yan
Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network. ICARCV (2022)
Shamima Rashid, Teng Ann Ng, Chee Keong Kwoh
Jupytope: computational extraction of structural properties of viral epitopes. Briefings Bioinform. 23 (6) (2022)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. CoRR (2022)
Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li
Conditional Contrastive Domain Generalization for Fault Diagnosis. IEEE Trans. Instrum. Meas. 71 (2022)
Rui Yin, Nyi Nyi Thwin, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh
IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. CoRR (2022)
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
Recent advances in network-based methods for disease gene prediction. Briefings Bioinform. 22 (4) (2021)
Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
Multi-View Collaborative Network Embedding. ACM Trans. Knowl. Discov. Data 15 (3) (2021)
Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 17 (8) (2021)
Rui Yin, Zihan Luo, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh
VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments. Bioinform. 37 (6) (2021)
Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. 37 (16) (2021)
Yu Zhang, Cangzhi Jia, Chee Keong Kwoh
Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach. Briefings Bioinform. 22 (4) (2021)
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li
Attention-based sequence to sequence model for machine remaining useful life prediction. Neurocomputing 466 (2021)
Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee Keong Kwoh
GLIMG: Global and local item graphs for top-N recommender systems. Inf. Sci. 580 (2021)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. CoRR (2021)
Yu Zhang, Yichao Cai, Xavier Roca, Chee Keong Kwoh, Melissa Jane Fullwood
Chromatin loop anchors predict transcript and exon usage. Briefings Bioinform. 22 (6) (2021)
Yu Zhang, Cangzhi Jia, Melissa Jane Fullwood, Chee Keong Kwoh
DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction. Briefings Bioinform. 22 (2) (2021)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Time-Series Representation Learning via Temporal and Contextual Contrasting. CoRR (2021)
Yu Zhang, Yahui Long, Chee Keong Kwoh
Class similarity network for coding and long non-coding RNA classification. BMC Bioinform. 22 (1) (2021)
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan
Time-Series Representation Learning via Temporal and Contextual Contrasting. IJCAI (2021)
Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM (2020)
Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization. CoRR (2020)
Rui Yin, Emil Luusua, Jan Dabrowski, Yu Zhang, Chee Keong Kwoh
Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks. Bioinform. 36 (9) (2020)
Yu Zhang, Yahui Long, Chee Keong Kwoh
Deep learning based DNA: RNA triplex forming potential prediction. BMC Bioinform. 21 (1) (2020)
Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
Multi-View Collaborative Network Embedding. CoRR (2020)
Dengju Yao, Xiaojuan Zhan, Xiaorong Zhan, Chee Keong Kwoh, Peng Li, Jinke Wang
A random forest based computational model for predicting novel lncRNA-disease associations. BMC Bioinform. 21 (1) (2020)
Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh
DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation. IEEE Access 8 (2020)
Yu Zhang, Zhuoyi Lin, Chee Keong Kwoh
Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy. ICCS (5) (2020)
Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
Predicting human microbe-drug associations via graph convolutional network with conditional random field. Bioinform. 36 (19) (2020)
Rui Yin, Yu Zhang, Xinrui Zhou, Chee Keong Kwoh
Time series computational prediction of vaccines for influenza A H3N2 with recurrent neural networks. J. Bioinform. Comput. Biol. 18 (1) (2020)
Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. ICPHM (2020)
Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
Recent Advances in Network-based Methods for Disease Gene Prediction. CoRR (2020)
Xinrui Zhou, Rui Yin, Jie Zheng, Chee Keong Kwoh
An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification. IEEE Access 7 (2019)
Pingjian Ding, Rui Yin, Jiawei Luo, Chee Keong Kwoh
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Mohan R. Pradhan, Minh N. Nguyen, Srinivasaraghavan Kannan, Stephen J. Fox, Chee Keong Kwoh, David P. Lane, Chandra S. Verma
Characterization of Hydration Properties in Structural Ensembles of Biomolecules. J. Chem. Inf. Model. 59 (7) (2019)
Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh
Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey. Briefings Bioinform. 20 (4) (2019)
Meng Zhang, Fuyi Li, Tatiana T. Marquez-Lago, André Leier, Cunshuo Fan, Chee Keong Kwoh, Kuo-Chen Chou, Jiangning Song, Cangzhi Jia
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters. Bioinform. 35 (17) (2019)
Rui Yin, Xinrui Zhou, Jie Zheng, Chee Keong Kwoh
Computational identification of physicochemical signatures for host tropism of influenza A virus. J. Bioinform. Comput. Biol. 16 (6) (2018)
Amr Alhossary, Yaw Awuni, Chee Keong Kwoh, Yuguang Mu
Proposing drug fragments for dengue virus NS5 protein. J. Bioinform. Comput. Biol. 16 (3) (2018)
Fransiskus Xaverius Ivan, Xinrui Zhou, Akhila Deshpande, Rui Yin, Jie Zheng, Chee Keong Kwoh
Phylogenetic Tree based Method for Uncovering Co-mutational Site-pairs in Influenza Viruses. BCB (2017)
Rui Yin, Xinrui Zhou, Fransiskus Xaverius Ivan, Jie Zheng, Vincent T. K. Chow, Chee Keong Kwoh
Identification of Potential Critical Virulent Sites Based on Hemagglutinin of Influenza a Virus in Past Pandemic Strains. ICBBS (2017)
Chee Keong Kwoh
AI and Big Data Analytics for Health and Bioinformatics. CSBio (2017)
Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Swamidoss Issac Niwas, Weisi Lin, Chee Keong Kwoh, C.-C. Jay Kuo, Chelvin C. Sng, Maria Cecilia Aquino, Paul T. K. Chew
Cross-Examination for Angle-Closure Glaucoma Feature Detection. IEEE J. Biomed. Health Informatics 20 (1) (2016)
Hong Pan, Joanna D. Holbrook, Neerja Karnani, Chee Keong Kwoh
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. 17 (2016)
Xu Han, Chee Keong Kwoh, Jung-jae Kim
Clustering based active learning for biomedical Named Entity Recognition. IJCNN (2016)
Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh
Drug-target interaction prediction via class imbalance-aware ensemble learning. BMC Bioinform. 17 (S-19) (2016)
Swamidoss Issac Niwas, Weisi Lin, Xiaolong Bai, Chee Keong Kwoh, C.-C. Jay Kuo, Chelvin C. Sng, Maria Cecilia Aquino, Paul T. K. Chew
Automated anterior segment OCT image analysis for Angle Closure Glaucoma mechanisms classification. Comput. Methods Programs Biomed. 130 (2016)
Xu Han, Jung-jae Kim, Chee Keong Kwoh
Active learning for ontological event extraction incorporating named entity recognition and unknown word handling. J. Biomed. Semant. 7 (2016)
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
Learning ECOC Code Matrix for Multiclass Classification with Application to Glaucoma Diagnosis. J. Medical Syst. 40 (4) (2016)
Swamidoss Issac Niwas, Vinit Jakhetiya, Weisi Lin, Chee Keong Kwoh, Chelvin C. Sng, Maria Cecilia Aquino, Victor Koh, Paul T. K. Chew
Complex wavelet based quality assessment for AS-OCT images with application to Angle Closure Glaucoma diagnosis. Comput. Methods Programs Biomed. 130 (2016)
S. Issac Niwas, Weisi Lin, Xiaolong Bai, Chee Keong Kwoh, Chelvin C. Sng, Maria Cecilia Aquino, Paul T. K. Chew
Reliable Feature Selection for Automated Angle Closure Glaucoma Mechanism Detection. J. Medical Syst. 39 (3) (2015)
Amr Alhossary, Stephanus Daniel Handoko, Yuguang Mu, Chee Keong Kwoh
Fast, accurate, and reliable molecular docking with QuickVina 2. Bioinform. 31 (13) (2015)
Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li
Classification and its application to drug-target interaction prediction. CoRR (2015)
Fan Zhang, Min Wu, Xuejuan Li, Xiaoli Li, Chee Keong Kwoh, Jie Zheng
Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates. J. Bioinform. Comput. Biol. 13 (3) (2015)
Zhuo Zhang, Cuntai Guan, Ti-Eu Chan, Juanhong Yu, Andrew Keong Ng, Haihong Zhang, Chee Keong Kwoh
Automatic sleep onset detection using single EEG sensor. EMBC (2014)
Jing Guo, Ritika Jain, Peng Yang, Rui Fan, Chee Keong Kwoh, Jie Zheng
Reliable and Fast Estimation of Recombination Rates by Convergence Diagnosis and Parallel Markov Chain Monte Carlo. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (1) (2014)
Min Wu, Chee Keong Kwoh, Xiaoli Li, Jie Zheng
Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast. BMC Syst. Biol. 8 (2014)
Thuy-Diem Nguyen, Bertil Schmidt, Chee Keong Kwoh
SparseHC: A Memory-efficient Online Hierarchical Clustering Algorithm. ICCS (2014)
Chinh Tran To Su, Thuy-Diem Nguyen, Jie Zheng, Chee Keong Kwoh
IFACEwat: the interfacial water-implemented re-ranking algorithm to improve the discrimination of near native structures for protein rigid docking. BMC Bioinform. 15 (S-16) (2014)
Qian Liu, Steven C. H. Hoi, Chee Keong Kwoh, Limsoon Wong, Jinyan Li
Integrating water exclusion theory into βcontacts to predict binding free energy changes and binding hot spots. BMC Bioinform. 15 (2014)
Zhuo Zhang, Ruchir Srivastava, Huiying Liu, Xiangyu Chen, Lixin Duan, Damon Wing Kee Wong, Chee Keong Kwoh, Tien Yin Wong, Jiang Liu
A survey on computer aided diagnosis for ocular diseases. BMC Medical Informatics Decis. Mak. 14 (2014)
Fan Zhang, Chee Keong Kwoh, Min Wu, Jie Zheng
Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways. BCB (2014)
Peng Yang, Min Wu, Jing Guo, Chee Keong Kwoh, Teresa M. Przytycka, Jie Zheng
LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms. BMC Bioinform. 15 (2014)
Chinh T. T. Su, Christian Schönbach, Chee Keong Kwoh
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. 14 (S-2) (2013)
N. Baskaran, Chee Keong Kwoh, Kam M. Hui
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. 7 (4) (2013)
Yun Zheng, Chee Keong Kwoh
Improved Time Complexities for Learning Boolean Networks. Entropy 15 (9) (2013)
Min Wu, Xuejuan Li, Fan Zhang, Xiaoli Li, Chee Keong Kwoh, Jie Zheng
Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer. BCB (2013)
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
Research and applications: Automatic glaucoma diagnosis through medical imaging informatics. J. Am. Medical Informatics Assoc. 20 (6) (2013)
Simon Fong, Sabah Mohammed, Jinan Fiaidhi, Chee Keong Kwoh
Using causality modeling and Fuzzy Lattice Reasoning algorithm for predicting blood glucose. Expert Syst. Appl. 40 (18) (2013)
Zhenhua Li, Ying He, Qian Liu, Liang Zhao, Limsoon Wong, Chee Keong Kwoh, Hung T. Nguyen, Jinyan Li
Structural analysis on mutation residues and interfacial water molecules for human TIM disease understanding. BMC Bioinform. 14 (S-16) (2013)
Qian Liu, Chee Keong Kwoh, Jinyan Li
Contacts and B Factor. J. Chem. Inf. Model. 53 (11) (2013)
Kian Guan Lim, Chee Keong Kwoh, Li Yang Hsu, Adrianto Wirawan
Review of tandem repeat search tools: a systematic approach to evaluating algorithmic performance. Briefings Bioinform. 14 (1) (2013)
Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Stephanus Daniel Handoko, Chee Keong Kwoh, H. Y. Man
Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing. IEEE Comput. Intell. Mag. 8 (3) (2013)
Chinh Tran To Su, Xuchang Ouyang, Jie Zheng, Chee Keong Kwoh
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. 14 (S-16) (2013)
Xuchang Ouyang, Shuo Zhou, Zemei Ge, Runtao Li, Chee Keong Kwoh
CovalentDock Cloud: a web server for automated covalent docking. Nucleic Acids Res. 41 (Webserver-Issue) (2013)
Xuchang Ouyang, Shuo Zhou, Chinh Tran To Su, Zemei Ge, Runtao Li, Chee Keong Kwoh
CovalentDock: Automated covalent docking with parameterized covalent linkage energy estimation and molecular geometry constraints. J. Comput. Chem. 34 (4) (2013)
Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng
Drug-target interaction prediction by learning from local information and neighbors. Bioinform. 29 (2) (2013)
Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong
QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (5) (2012)
Xuchang Ouyang, Chee Keong Kwoh
GPU Accelerated Molecular Docking with Parallel Genetic Algorithm. ICPADS (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chee Keong Kwoh