Ka-Chun Wong

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 119

Top Venues

Bioinform.

Briefings Bioinform.

CoRR

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Xubin Wang, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization. Expert Syst. Appl. 248 (2024)
Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan
Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. 28 (3) (2024)
Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng
Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization. CoRR (2024)
Zhe Liu, Hiu-Man Wong, Xingjian Chen, Jiecong Lin, Shixiong Zhang, Shankai Yan, Fuzhou Wang, Xiangtao Li, Ka-Chun Wong
MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Comput. Biol. Medicine 168 (2024)
Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong
Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport. AAAI (2024)
Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng
Core-Periphery Detection Based on Masked Bayesian Nonnegative Matrix Factorization. IEEE Trans. Comput. Soc. Syst. 11 (3) (2024)
Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jian-qiang Li, Zhong Ming, Carlos A. Coello Coello
A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization. Eng. Appl. Artif. Intell. 129 (2024)
Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Weidun Xie, Jixiang Yu, Lei Huang, Lek Shyuen For, Zetian Zheng, Xingjian Chen, Yuchen Wang, Zhichao Liu, Chengbin Peng, Ka-Chun Wong
DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning. Comput. Biol. Medicine 175 (2024)
Nanjun Chen, Jixiang Yu, Zhe Liu, Fuzhou Wang, Xiangtao Li, Ka-Chun Wong
TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation. Briefings Bioinform. 25 (4) (2024)
Xingjian Chen, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie, Zetian Zheng, Ka-Chun Wong
HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinform. 40 (6) (2024)
Xubin Wang, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner. CoRR (2024)
Wenhong Wei, Yi Chen, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong, Jianqiang Li
Multi-objective evolving long-short term memory networks with attention for network intrusion detection. Appl. Soft Comput. 139 (2023)
Songbai Liu, Qiuzhen Lin, Liang Feng, Ka-Chun Wong, Kay Chen Tan
Evolutionary Multitasking for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 27 (4) (2023)
Suash Deb, Ka-Chun Wong, Thomas Hanne
2019 India International Congress on Computational Intelligence. Neural Comput. Appl. 35 (2) (2023)
Muhammad Toseef, Olutomilayo Olayemi Petinrin, Fuzhou Wang, Saifur Rahaman, Zhe Liu, Xiangtao Li, Ka-Chun Wong
Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results. Briefings Bioinform. 24 (4) (2023)
Xun Zhou, Songbai Liu, Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan
A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. ICMLC (2023)
Pingping Sun, Shijie Fan, Shaochuan Li, Yingwei Zhao, Chang Lu, Ka-Chun Wong, Xiangtao Li
Automated exploitation of deep learning for cancer patient stratification across multiple types. Bioinform. 39 (11) (2023)
Lingjie Li, Qiuzhen Lin, Zhong Ming, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello
An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53 (6) (2023)
Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Qing Li, Kay Chen Tan
Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. IEEE Trans. Evol. Comput. 27 (3) (2023)
Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. AAAI (2023)
Yanchi Su, Haoran Zhu, Ka-Chun Wong, Yi Chang, Xiangtao Li
Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery. IEEE Trans. Cybern. 53 (5) (2023)
Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
MDM: Molecular Diffusion Model for 3D Molecule Generation. AAAI (2023)
Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang
DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins. CoRR (2023)
Ying Xiong, Xin Yang, Linjing Liu, Ka-Chun Wong, Qingcai Chen, Yang Xiang, Buzhou Tang
EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation. EMNLP (Findings) (2023)
Yunhe Wang, Zhuohan Yu, Shaochuan Li, Chuang Bian, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering. Bioinform. 39 (2) (2023)
Xubin Wang, Yunhe Wang, Ka-Chun Wong, Xiangtao Li
A self-adaptive weighted differential evolution approach for large-scale feature selection. Knowl. Based Syst. 235 (2022)
Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Zhong Ming, Jun Zhang
A Self-Guided Reference Vector Strategy for Many-Objective Optimization. IEEE Trans. Cybern. 52 (2) (2022)
Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. AAAI (2022)
Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification. IEEE Trans. Cybern. 52 (10) (2022)
Jiecong Lin, Lei Huang, Xingjian Chen, Shixiong Zhang, Ka-Chun Wong
DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs. Briefings Bioinform. 23 (1) (2022)
Yanchi Su, Fuzhou Wang, Shixiong Zhang, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information. Bioinform. 38 (19) (2022)
Qiyuan Yu, Qiuzhen Lin, Zexuan Zhu, Ka-Chun Wong, Carlos A. Coello Coello
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering. Swarm Evol. Comput. 71 (2022)
Olutomilayo Olayemi Petinrin, Xiangtao Li, Ka-Chun Wong
Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients. IEEE J. Biomed. Health Informatics 26 (3) (2022)
Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
MDM: Molecular Diffusion Model for 3D Molecule Generation. CoRR (2022)
Shaochuan Li, Yuning Yang, Xin Wang, Jun Li, Jun Yu, Xiangtao Li, Ka-Chun Wong
Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning. BioData Min. 15 (1) (2022)
Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng
A Block-Based Adaptive Decoupling Framework for Graph Neural Networks. Entropy 24 (9) (2022)
Zetian Zheng, Weidun Xie, Xingjian Chen, Fuzhou Wang, Lei Huang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Yi Chen, Qiuzhen Lin, Wenhong Wei, Junkai Ji, Ka-Chun Wong, Carlos A. Coello Coello
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing. Knowl. Based Syst. 244 (2022)
Muhammad Toseef, Xiangtao Li, Ka-Chun Wong
Reducing healthcare disparities using multiple multiethnic data distributions with fine-tuning of transfer learning. Briefings Bioinform. 23 (3) (2022)
Yulong Ye, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li, Zhong Ming
Knowledge guided Bayesian classification for dynamic multi-objective optimization. Knowl. Based Syst. 250 (2022)
Yunhe Wang, Chuang Bian, Ka-Chun Wong, Xiangtao Li, Shengxiang Yang
Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data. IEEE Trans. Syst. Man Cybern. Syst. 52 (8) (2022)
Ying Xiong, Hao Peng, Yang Xiang, Ka-Chun Wong, Qingcai Chen, Jun Yan, Buzhou Tang
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network. J. Biomed. Informatics 128 (2022)
Yulong Ye, Qiuzhen Lin, Lijia Ma, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello
Multiple source transfer learning for dynamic multiobjective optimization. Inf. Sci. 607 (2022)
Yongfeng Li, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Zhong Ming, Carlos A. Coello Coello
A self-organizing weighted optimization based framework for large-scale multi-objective optimization. Swarm Evol. Comput. 72 (2022)
Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Zetian Zheng, Ka-Chun Wong
EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information. Briefings Bioinform. 23 (1) (2022)
Lei Huang, Jiecong Lin, Rui Liu, Zetian Zheng, Lingkuan Meng, Xingjian Chen, Xiangtao Li, Ka-Chun Wong
CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation. Briefings Bioinform. 23 (6) (2022)
Weidun Xie, Zetian Zheng, Weitong Zhang, Lei Huang, Qiuzhen Lin, Ka-Chun Wong
SRG-Vote: Predicting Mirna-Gene Relationships via Embedding and LSTM Ensemble. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Xiangtao Li, Shaochuan Li, Lei Huang, Shixiong Zhang, Ka-Chun Wong
High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning. Briefings Bioinform. 23 (1) (2022)
Yansong Wang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Xiangtao Li
Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. PLoS Comput. Biol. 18 (12) (2022)
Yawei Wang, Yuning Yang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network. Bioinform. 38 (3) (2022)
Yuning Yang, Zilong Hou, Yansong Wang, Hongli Ma, Pingping Sun, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network. Briefings Bioinform. 23 (2) (2022)
Yunhe Wang, Ka-Chun Wong, Xiangtao Li
Exploring high-throughput biomolecular data with multiobjective robust continuous clustering. Inf. Sci. 583 (2022)
Yifu Lu, Zhuohan Yu, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering. Bioinform. 38 (11) (2022)
Yuning Yang, Zilong Hou, Zhiqiang Ma, Xiangtao Li, Ka-Chun Wong
iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network. Briefings Bioinform. 22 (4) (2021)
Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Ka-Chun Wong
EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information. CoRR (2021)
Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-Chun Wong
Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression. Appl. Soft Comput. 111 (2021)
Linjing Liu, Xingjian Chen, Ka-Chun Wong
Early cancer detection from genome-wide cell-free DNA fragmentation via shuffled frog leaping algorithm and support vector machine. Bioinform. 37 (19) (2021)
Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection. Swarm Evol. Comput. 60 (2021)
Zilong Hou, Yuning Yang, Hui Li, Ka-Chun Wong, Xiangtao Li
iDeepSubMito: identification of protein submitochondrial localization with deep learning. Briefings Bioinform. 22 (6) (2021)
Qunfeng Liu, Xunfeng Wu, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong
A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion. Swarm Evol. Comput. 60 (2021)
Xiangtao Li, Shaochuan Li, Yunhe Wang, Shixiong Zhang, Ka-Chun Wong
Identification of pan-cancer Ras pathway activation with deep learning. Briefings Bioinform. 22 (4) (2021)
Junyi Chen, Junhui Hou, Ka-Chun Wong
Categorical Matrix Completion With Active Learning for High-Throughput Screening. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Evolving Multiobjective Cancer Subtype Diagnosis From Cancer Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Lei Huang, Wei Shao, Fuzhou Wang, Weidun Xie, Ka-Chun Wong
Metric Learning Based Vision Transformer for Product Matching. ICONIP (1) (2021)
Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
Deep embedded clustering with multiple objectives on scRNA-seq data. Briefings Bioinform. 22 (5) (2021)
Yuning Yang, Shaochuan Li, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Identification of haploinsufficient genes from epigenomic data using deep forest. Briefings Bioinform. 22 (5) (2021)
Hiu-Man Wong, Xingjian Chen, Hiu-Hin Tam, Jiecong Lin, Shixiong Zhang, Shankai Yan, Xiangtao Li, Ka-Chun Wong
Feature Selection and Feature Extraction: Highlights. ISMSI (2021)
Saifur Rahaman, Xiangtao Li, Jun Yu, Ka-Chun Wong
CancerEMC: frontline non-invasive cancer screening from circulating protein biomarkers and mutations in cell-free DNA. Bioinform. 37 (19) (2021)
Xingjian Chen, Lingjing Liu, Weitong Zhang, Jianyi Yang, Ka-Chun Wong
Human host status inference from temporal microbiome changes via recurrent neural networks. Briefings Bioinform. 22 (6) (2021)
Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
Evolving Transcriptomic Profiles From Single-Cell RNA-Seq Data Using Nature-Inspired Multiobjective Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Xubin Wang, Yunhe Wang, Ka-Chun Wong, Xiangtao Li
A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection. CoRR (2021)
Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data. IEEE Trans. Cybern. 51 (12) (2021)
Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
Nature-Inspired Compressed Sensing for Transcriptomic Profiling From Random Composite Measurements. IEEE Trans. Cybern. 51 (9) (2021)
Zhuohan Yu, Chuang Bian, Genggeng Liu, Shixiong Zhang, Ka-Chun Wong, Xiangtao Li
Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing. Briefings Bioinform. 22 (5) (2021)
Shankai Yan, Ka-Chun Wong
Future DNA computing device and accompanied tool stack: Towards high-throughput computation. Future Gener. Comput. Syst. 117 (2021)
Junyi Chen, Ka-Chun Wong
RNCE: network integration with reciprocal neighbors contextual encoding for multi-modal drug community study on cancer targets. Briefings Bioinform. 22 (3) (2021)
Xiangtao Li, Ka-Chun Wong
Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Ka-Chun Wong, Shankai Yan, Qiuzhen Lin, Xiangtao Li, Chengbin Peng
Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Suash Deb, Ka-Chun Wong, Thomas Hanne
Special issue of 2017 India International Congress on Computational Intelligence. Neural Comput. Appl. 32 (15) (2020)
Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization. CoRR (2020)
Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
Nature-inspired multiobjective patient stratification from cancer gene expression data. Inf. Sci. 526 (2020)
Shankai Yan, Ka-Chun Wong
GESgnExt: Gene Expression Signature Extraction and Meta-Analysis on Gene Expression Omnibus. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
Nature-Inspired Multiobjective Epistasis Elucidation from Genome-Wide Association Studies. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Suash Deb, Ka-Chun Wong, Xin-She Yang
EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence. Neural Comput. Appl. 32 (19) (2020)
Shankai Yan, Ka-Chun Wong
Context awareness and embedding for biomedical event extraction. Bioinform. 36 (2) (2020)
Junyi Chen, Shankai Yan, Ka-Chun Wong
Verbal aggression detection on Twitter comments: convolutional neural network for short-text sentiment analysis. Neural Comput. Appl. 32 (15) (2020)
Xiangtao Li, Ka-Chun Wong
Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Ka-Chun Wong, Jiao Zhang, Shankai Yan, Xiangtao Li, Qiuzhen Lin, Sam Kwong, Cheng Liang
DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools. ACM Comput. Surv. 52 (5) (2019)
Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Jianyong Chen, Jun Zhang
A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 23 (3) (2019)
Jiao Zhang, Sam Kwong, Ka-Chun Wong
ToBio: Global Pathway Similarity Search Based on Topological and Biological Features. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen
An Effective Ensemble Framework for Multiobjective Optimization. IEEE Trans. Evol. Comput. 23 (4) (2019)
Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning. Bioinform. 35 (16) (2019)
Shankai Yan, Ka-Chun Wong
Context awareness and embedding for biomedical event extraction. CoRR (2019)
Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Lijia Ma, Carlos A. Coello Coello, Dunwei Gong
A novel multi-objective evolutionary algorithm with dynamic decomposition strategy. Swarm Evol. Comput. 48 (2019)
Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications. Bioinform. 35 (7) (2019)
Jiao Zhang, Sam Kwong, Guangming Liu, Qiuzhen Lin, Ka-Chun Wong
PathEmb: Random Walk Based Document Embedding for Global Pathway Similarity Search. IEEE J. Biomed. Health Informatics 23 (3) (2019)
Xiangtao Li, Ka-Chun Wong
Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification. IEEE Trans. Cybern. 49 (5) (2019)
Suash Deb, Thomas Hanne, Ka-Chun Wong
Special issue: the International Conference on Soft Computing and Machine Intelligence. Soft Comput. 22 (18) (2018)

Ka-Chun Wong.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ka-Chun Wong