Ka-chun Wong

发表

A novel web-based system for tropical cyclone analysis and prediction

Wei Zhang, Kwong-Sak Leung, Yee Leung, 2012, Int. J. Geogr. Inf. Sci..

Uncovering the key dimensions of high-throughput biomolecular data using deep learning

Ka-chun Wong, Qiuzhen Lin, Shixiong Zhang, 2020, Nucleic acids research.

Nature-Inspired Multiobjective Cancer Subtype Diagnosis

Ka-chun Wong, Xiangtao Li, Zhiqiang Ma, 2019, IEEE Journal of Translational Engineering in Health and Medicine.

Computational Methods for Learning and Predicting the DNA binding Specificities of Transcription Factors

Ka-chun Wong, 2015 .

Unsupervised Learning in Genome Informatics

Zhaolei Zhang, Ka-Chun Wong, Ka-chun Wong, 2015, 1508.00459.

Evolving Spatial Clusters of Genomic Regions From High-Throughput Chromatin Conformation Capture Data

Ka-Chun Wong, Shijing Ma, Xiangtao Li, 2017, IEEE Transactions on NanoBioscience.

DNA Motif Recognition Modeling from Protein Sequences

Ka-chun Wong, 2018, iScience.

DNA motif elucidation using belief propagation KAUST Repository

Ka-chun Wong, Zhaolei Zhang, Chengbin Peng, 2015 .

DNA motif elucidation using belief propagation

Zhaolei Zhang, Chengbin Peng, Ka-Chun Wong, 2013, Nucleic acids research.

Discovering protein–DNA binding sequence patterns using association rule mining

Kwong-Sak Leung, Ka-Chun Wong, Kin-Hong Lee, 2010, Nucleic acids research.

Data and text mining Supplementary material of NSSRF : global network similarity search with subgraph signatures and its applications

S. Kwong, Ka-chun Wong, Yuheng Jia, 2016 .

Heterodimeric DNA motif synthesis and validations

You-Qiang Song, Ka-chun Wong, Qiuzhen Lin, 2018, Nucleic acids research.

A self-organizing weighted optimization based framework for large-scale multi-objective optimization

C. Coello, Ka-chun Wong, Qiuzhen Lin, 2022, Swarm Evol. Comput..

Gene expression Single-Cell RNA-seq Data using Evolutionary Multiobjective Ensemble Pruning

Ka-chun Wong, Shixiong Zhang, Xiangtao Li, 2018 .

scEFSC: Accurate single-cell RNA-seq data analysis via ensemble consensus clustering based on multiple feature selections

Ka-chun Wong, Xiangtao Li, Yunhe Wang, 2022, Computational and structural biotechnology journal.

Knowledge guided Bayesian classification for dynamic multi-objective optimization

Ka-chun Wong, Qiuzhen Lin, Lingjie Li, 2022, Knowl. Based Syst..

The comprehensive and systematic identification of BLCA-specific SF-regulated, survival-related AS events.

Ka-chun Wong, Ya-Feng Wang, Hui Zhao, 2022, Gene.

Mini-review: Recent advances in post-translational modification site prediction based on deep learning

Ka-chun Wong, Xingjian Chen, Hongyan Sun, 2022, Computational and structural biotechnology journal.

Multiple source transfer learning for dynamic multiobjective optimization

C. A. Coello Coello, C. Coello, Ka-chun Wong, 2022, Inf. Sci..

Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning

Jun Yu Li, Shaochuan Li, Ka-chun Wong, 2022, BioData Mining.

Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma

Ka-chun Wong, Qiuzhen Lin, Xiangtao Li, 2022, IEEE Journal of Biomedical and Health Informatics.

SRG-Vote: Predicting Mirna-Gene Relationships via Embedding and LSTM Ensemble

Ka-chun Wong, Qiuzhen Lin, Weitong Zhang, 2022, IEEE Journal of Biomedical and Health Informatics.

ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations

Ka-chun Wong, Zhuohang Yu, Xiangtao Li, 2022, AAAI.

DNA Sequencing Technologies

Ka-Chun Wong, Sam Kwong, Jiao Zhang, 2019, ACM Comput. Surv..

Improving Chemical Reaction Prediction with Unlabeled Data

Ka-chun Wong, Chengbin Peng, Meixia Shi, 2022, Molecules.

Reactions’ Descriptors Selection and Yield Estimation Using Metaheuristic Algorithms and Voting Ensemble

Ka-chun Wong, F. Ghabban, Xiangtao Li, 2022, Computers, Materials & Continua.

A Block-Based Adaptive Decoupling Framework for Graph Neural Networks

Ka-chun Wong, Chengbin Peng, Yu Xie, 2022, Entropy.

Journal Pre-proof GILoop: robust chromatin loop calling across multiple sequencing depths on Hi-C data

Ka-chun Wong, Xiangtao Li, Jiecong Lin, 2022 .

Computational learning on specificity-determining residue-nucleotide interactions

Zhaolei Zhang, Chengbin Peng, Ka-Chun Wong, 2015, Nucleic acids research.

GILoop: Robust chromatin loop calling across multiple sequencing depths on Hi-C data

Ka-chun Wong, Xiangtao Li, Jiecong Lin, 2022, iScience.

Human disease prediction from microbiome data by multiple feature fusion and deep learning

Ka-chun Wong, Xingjian Chen, Jian Yang, 2022, iScience.

Identification of pan-cancer Ras pathway activation with deep learning

Xiangtao Li, Ka-Chun Wong, Yunhe Wang, 2020, Briefings Bioinform..

Modelling the impact of travel restrictions on COVID-19 cases in Hong Kong in early 2020

Ka-chun Wong, P. Ho, King Pui Florence Chan, 2021, BMC Public Health.

Off-target predictions in CRISPR-Cas9 gene editing using deep learning

Ka-Chun Wong, Jiecong Lin, Ka-chun Wong, 2018, Bioinform..

Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization

Chengbin Peng, Ka-Chun Wong, Ka-chun Wong, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Finding core–periphery structures in large networks

Ka-chun Wong, Chengbin Peng, Wenqian Li, 2021 .

Early cancer detection from genome-wide cell-free DNA fragmentation via shuffled frog leaping algorithm and support vector machine

Ka-Chun Wong, Xingjian Chen, Linjing Liu, 2021, Bioinform..

Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells

Ka-Chun Wong, Yue Li, Chengbin Peng, 2016, Bioinform..

Review of single-cell RNA-seq data clustering for cell-type identification and characterization pdf

Ka-Chun Wong, Qiuzhen Lin, Shixiong Zhang, 2020, RNA.

Enabling Single‐Cell Drug Response Annotations from Bulk RNA‐Seq Using SCAD

Ka-chun Wong, Qiuzhen Lin, Xiangtao Li, 2023, Advanced science.

scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering

Shaochuan Li, Ka-chun Wong, Zhuohang Yu, 2023, Bioinform..

Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA

Ka-chun Wong, Zhuohang Yu, Shixiong Zhang, 2023, Nature Communications.

Exploring high-throughput biomolecular data with multiobjective robust continuous clustering

Ka-Chun Wong, Xiangtao Li, Yunhe Wang, 2021, Inf. Sci..

Deep embedded clustering with multiple objectives on scRNA-seq data

Ka-Chun Wong, Shixiong Zhang, Xiangtao Li, 2021, Briefings Bioinform..

Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering

Xiangtao Li, Ka-Chun Wong, Ka-chun Wong, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework

Ka-chun Wong, Xiangtao Li, Yuning Yang, 2022, PLoS Comput. Biol..

Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning

Xiangtao Li, Ka-Chun Wong, Shixiong Zhang, 2019, Bioinform..

A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information

Zhaolei Zhang, Yue Li, Ka-Chun Wong, 2014, Bioinform..

Inferring probabilistic miRNA–mRNA interaction signatures in cancers: a role-switch approach

Cheng Liang, Zhaolei Zhang, Ka-Chun Wong, 2014, Nucleic acids research.

SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences

Zhaolei Zhang, Ka-Chun Wong, Ka-chun Wong, 2014, Bioinform..

Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm

Kwong-Sak Leung, Man Hon Wong, Chengbin Peng, 2011, Soft Comput..

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors

Xiangtao Li, Ka-Chun Wong, Shankai Yan, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

RNCE: network integration with reciprocal neighbors contextual encoding for multi-modal drug community study on cancer targets

Ka-Chun Wong, Junyi Chen, Ka-chun Wong, 2020, Briefings Bioinform..

GESgnExt: Gene Expression Signature Extraction and Meta-Analysis on Gene Expression Omnibus

Ka-Chun Wong, Shankai Yan, Ka-chun Wong, 2020, IEEE Journal of Biomedical and Health Informatics.

Identification of haploinsufficient genes from epigenomic data using deep forest

Ka-Chun Wong, Zhiqiang Ma, Xiangtao Li, 2021, Briefings Bioinform..

A novel semi-supervised model for miRNA-disease association prediction based on \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{d

Cheng Liang, Ka-Chun Wong, Jiawei Luo, 2018, Journal of Translational Medicine.

Machine Learning Protocols in Early Cancer Detection Based on Liquid Biopsy: A Survey

Ka-chun Wong, Xingjian Chen, O. O. Petinrin, 2021, Life.

Early Cancer Detection from Multianalyte Blood Test Results

Jun Yu, S. Kwong, Ka-chun Wong, 2019, iScience.

Noninvasive early diagnosis of intestinal diseases based on artificial intelligence in genomics and microbiome

Ka-chun Wong, Xingjian Chen, Weitong Zhang, 2021, Journal of gastroenterology and hepatology.

A Comparative Study for Identifying the Chromosome-Wide Spatial Clusters from High-Throughput Chromatin Conformation Capture Data

Ka-Chun Wong, Xiangtao Li, Ka-chun Wong, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

- State Estimation and Process Monitoring of Nonlinear Biological Phenomena Modeled by S-systems

Ka-Chun Wong, Ka-chun Wong, 2016 .

CancerEMC: frontline non-invasive cancer screening from circulating protein biomarkers and mutations in cell-free DNA

Ka-Chun Wong, Jun Yu, Saifur Rahaman, 2021, Bioinform..

Evolutionary Algorithms: Concepts, Designs, and Applications in Bioinformatics: Evolutionary Algorithms for Bioinformatics pdf

Ka-Chun Wong, Ka-chun Wong, 2015, ArXiv.

Discovering approximate-associated sequence patterns for protein-DNA interactions

Kwong-Sak Leung, Man Hon Wong, Ka-Chun Wong, 2011, Bioinform..

iDeepSubMito: identification of protein submitochondrial localization with deep learning

Ka-chun Wong, Xiangtao Li, Yuning Yang, 2021, Briefings Bioinform..

New Tricks for “Old” Domains: How Novel Architectures and Promiscuous Hubs Contributed to the Organization and Evolution of the ECM

Zhaolei Zhang, Ka-Chun Wong, John Parkinson, 2014, Genome biology and evolution.

SECOM: A Novel Hash Seed and Community Detection Based-Approach for Genome-Scale Protein Domain Identification

Ka-Chun Wong, Xin Gao, Taewoo Ryu, 2012, PloS one.

The Blooming Era of Genome Informatics: State-of-the-Art and Future Challenges

Ka-Chun Wong, Ommega Internationals, Ka-chun Wong, 2016 .

ToBio: Global Pathway Similarity Search Based on Topological and Biological Features

Ka-Chun Wong, Sam Kwong, Jiao ZHANG, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Human host status inference from temporal microbiome changes via recurrent neural networks

Ka-Chun Wong, Jianyi Yang, Xingjian Chen, 2021, Briefings Bioinform..

SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles

Zhaolei Zhang, Yue Li, Chengbin Peng, 2015, Bioinform..

Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using 'Epistasis' Package.

Ka-chun Wong, Junyi Chen, 2021, Methods in molecular biology.

Risk scoring based on DNA methylation-driven related DEGs for colorectal cancer prognosis with systematic insights.

Ka-chun Wong, N. Ahituv, I. Georgakopoulos-Soares, 2023, Life sciences.

CRISPR‐Net: A Recurrent Convolutional Network Quantifies CRISPR Off‐Target Activities with Mismatches and Indels

Zhaolei Zhang, Shixiong Zhang, Jiecong Lin, 2020, Advanced Science.

Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications

Xiangtao Li, Ka-Chun Wong, Qiuzhen Lin, 2018, Bioinform..

Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data

Yue Li, Chengbin Peng, Ka-Chun Wong, 2017, IEEE Transactions on Cybernetics.

Zinc-finger protein 471 suppresses gastric cancer through transcriptionally repressing downstream oncogenic PLS3 and TFAP2A

Jun Yu, S. Wong, Ka-chun Wong, 2018, Oncogene.

Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression

Ka-chun Wong, Qiuzhen Lin, Junkai Ji, 2021, Applied Soft Computing.

A Belief Degree-Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection.

Ka-chun Wong, Saifur Rahaman, 2021, Methods in molecular biology.

Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing

Ka-Chun Wong, Genggeng Liu, Shixiong Zhang, 2021, Briefings Bioinform..

Big Data Analytics in Genomics

Ka-Chun Wong, Ka-chun Wong, 2016, Springer International Publishing.

A Short Survey on Data Clustering Algorithms

Ka-Chun Wong, Ka-chun Wong, 2015, 2015 Second International Conference on Soft Computing and Machine Intelligence (ISCMI).

A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion

Ka-Chun Wong, Qiuzhen Lin, Xunfeng Wu, 2021, Swarm Evol. Comput..

EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information

Lei Huang, Ka-Chun Wong, Jiecong Lin, 2021, Briefings Bioinform..

Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems

Jun Zhang, Ka-Chun Wong, Qiuzhen Lin, 2018, IEEE Transactions on Evolutionary Computation.

iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network

Xiangtao Li, Ka-Chun Wong, Yuning Yang, 2020, Briefings Bioinform..

Machine learning in metastatic cancer research: Potentials, possibilities, and prospects.

Ka-chun Wong, Qiuzhen Lin, Xiangtao Li, 2023, Computational and structural biotechnology journal.

MDM: Molecular Diffusion Model for 3D Molecule Generation

Ka-chun Wong, Tingyang Xu, Hengtong Zhang, 2022, AAAI.

A dual diffusion model enables 3D binding bioactive molecule generation and lead optimization given target pockets

P. Zhao, Ka-chun Wong, Tingyang Xu, 2023, bioRxiv.

Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion

Cheng Liang, Zhaolei Zhang, Yue Li, 2014, Bioinform..

A scalable community detection algorithm for large graphs using stochastic block models

Zhihua Zhang, Xiangliang Zhang, Chengbin Peng, 2015, Intell. Data Anal..

Scalable inference for stochastic block models

Zhihua Zhang, Ka-Chun Wong, David E. Keyes, 2017 .

A Comparison Study for DNA Motif Modeling on Protein Binding Microarray

Hau-San Wong, Yue Li, Chengbin Peng, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization

Kwong-Sak Leung, Man Hon Wong, Ka-Chun Wong, 2010, EvoApplications.

An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies

Ka-Chun Wong, Qiuzhen Lin, Carlos A. Coello Coello, 2018, Inf. Sci..

Evolutionary Multimodal Optimization: A Short Survey pdf

Ka-Chun Wong, Ka-chun Wong, 2015, ArXiv.

Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification

Ka-chun Wong, Xiangtao Li, Yunhe Wang, 2021, IEEE Transactions on Cybernetics.

A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems

Maoguo Gong, Jun Zhang, Ka-Chun Wong, 2019, IEEE Transactions on Evolutionary Computation.

Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification

Xiangtao Li, Ka-Chun Wong, Ka-chun Wong, 2019, IEEE Transactions on Cybernetics.

Correction: Collective Human Mobility Pattern from Taxi Trips in Urban Area

Pietro Liò, Chengbin Peng, Ka-Chun Wong, 2012, PLoS ONE.

Collective Human Mobility Pattern from Taxi Trips in Urban Area

Pietro Liò, Chengbin Peng, Ka-Chun Wong, 2012, PloS one.

Increased expression of GATA zinc finger domain containing 1 through gene amplification promotes liver cancer by directly inducing phosphatase of regenerating liver 3

Jun Yu, Ka-chun Wong, H. Chan, 2018, Hepatology.

A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization

Zexuan Zhu, Laizhong Cui, Ka-Chun Wong, 2017, Inf. Sci..

Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery

Ka-chun Wong, Xiangtao Li, Yanchi Su, 2022, IEEE Transactions on Cybernetics.

Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing

C. Coello, Ka-chun Wong, Qiuzhen Lin, 2022, Knowl. Based Syst..

Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism

Zexuan Zhu, Laizhong Cui, Ka-Chun Wong, 2018, Inf. Sci..

Feature Selection and Feature Extraction: Highlights

Ka-Chun Wong, Jiecong Lin, Shixiong Zhang, 2021, ISMSI.

Context awareness and embedding for biomedical event extraction

Ka-Chun Wong, Shankai Yan, Ka-chun Wong, 2019, Bioinform..

Data Analytics for Protein-DNA Binding Interactions

Ka-Chun Wong, Ka-chun Wong, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

An Effective Ensemble Framework for Multiobjective Optimization

Qingfu Zhang, Wenjun Wang, Ka-Chun Wong, 2019, IEEE Transactions on Evolutionary Computation.

A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm

Jun Zhang, Jianqiang Li, Ka-Chun Wong, 2018, IEEE Transactions on Cybernetics.

Multiplicative Algorithms for Constrained Non-negative Matrix Factorization

Xiangliang Zhang, Chengbin Peng, Ka-Chun Wong, 2012, 2012 IEEE 12th International Conference on Data Mining.

A Self-Guided Reference Vector Strategy for Many-Objective Optimization

Ka-Chun Wong, Qiuzhen Lin, Jun Zhang, 2020, IEEE Transactions on Cybernetics.

Protein structure prediction on a lattice model via multimodal optimization techniques

Kwong-Sak Leung, Man Hon Wong, Ka-Chun Wong, 2010, GECCO '10.

An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm

Jun Zhang, Jianqiang Li, Ka-Chun Wong, 2017, IEEE Transactions on Cybernetics.

A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection

Ka-Chun Wong, Xiangtao Li, Yunhe Wang, 2021, Knowl. Based Syst..

Big data challenges in genome informatics

Ka-Chun Wong, Ka-chun Wong, 2018, Biophysical Reviews.

Accurate Sequence-Based Prediction of Deleterious nsSNPs with Multiple Sequence Profiles and Putative Binding Residues

Lukasz Kurgan, Ka-chun Wong, C. Oldfield, 2021, Biomolecules.

Verbal aggression detection on Twitter comments: convolutional neural network for short-text sentiment analysis

Ka-Chun Wong, Junyi Chen, Shankai Yan, 2018, Neural Computing and Applications.

Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites

Yue Li, Chengbin Peng, Ka-Chun Wong, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Probabilistic Inference on Multiple Normalized Genome-Wide Signal Profiles With Model Regularization

Cheng Liang, Ka-Chun Wong, Chengbin Peng, 2017, IEEE Transactions on NanoBioscience.

Ka-chun Wong, Jiawei Luo, Shengpeng Yu, 2018, Journal of Translational Medicine.

CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation

Ka-chun Wong, Xiangtao Li, Jiecong Lin, 2022, Briefings Bioinform..

Nature-inspired multiobjective patient stratification from cancer gene expression data

Ka-Chun Wong, Yunhe Wang, Zhiqiang Ma, 2020, Inf. Sci..

Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization

Xiangtao Li, Ka-Chun Wong, Ka-chun Wong, 2018, IEEE Journal of Biomedical and Health Informatics.

Nature-Inspired Multiobjective Epistasis Elucidation from Genome-Wide Association Studies

Xiangtao Li, Ka-Chun Wong, Shixiong Zhang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning

Ka-chun Wong, Xiangtao Li, Yunhe Wang, 2023, Advanced science.

DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins

Ka-chun Wong, Songfang Huang, Zheng Yuan, 2023, ArXiv.

Elucidating high-dimensional cancer hallmark annotation via enriched ontology

Ka-Chun Wong, Shankai Yan, Ka-chun Wong, 2017, J. Biomed. Informatics.

NSSRF: global network similarity search with subgraph signatures and its applications

Ka-Chun Wong, Sam Kwong, Jiao Zhang, 2017, Bioinform..

Future DNA computing device and accompanied tool stack: Towards high-throughput computation

Ka-Chun Wong, Shankai Yan, Ka-chun Wong, 2021, Future Gener. Comput. Syst..

Evolutionary Multitasking for Large-Scale Multiobjective Optimization

Ka-chun Wong, K. Tan, Qiuzhen Lin, 2023, IEEE Transactions on Evolutionary Computation.

Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms

Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan, 2021, IEEE Transactions on Evolutionary Computation.

A novel multi-objective evolutionary algorithm with dynamic decomposition strategy

Ka-Chun Wong, Qiuzhen Lin, Carlos A. Coello Coello, 2019, Swarm Evol. Comput..

MotifHyades: expectation maximization for de novo DNA motif pair discovery on paired sequences

Ka-Chun Wong, Ka-chun Wong, 2017, Bioinform..

Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning

Ka-chun Wong, Xiangtao Li, Zhiqiang Ma, 2023, Communications Biology.

Aggressivity Detection on Social Network Comments

Ka-Chun Wong, Junyi Chen, Shankai Yan, 2017, ISMSI '17.

Malicious Traffic Detection in IoT and Local Networks Using Stacked Ensemble Classifier

Ka-chun Wong, F. Ghabban, Xiangtao Li, 2022, Computers, Materials & Continua.

Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution

Xiangtao Li, Ka-Chun Wong, Ka-chun Wong, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Evolutionary multimodal optimization using the principle of locality

Zhaolei Zhang, Chengbin Peng, Ka-Chun Wong, 2012, Inf. Sci..

An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization

C. Coello, Ka-chun Wong, Qiuzhen Lin, 2023, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network

Ka-Chun Wong, Qingshan Jiang, Sam Kwong, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Correction: Collective Human Mobility Pattern from Taxi Trips in Urban Area

Ka-chun Wong, Chengbin Peng, Xiaogang Jin, 2012, PLoS ONE.

Deep Learning Resolves Representative Movement Patterns in a Marine Predator Species

Xiangliang Zhang, Ka-Chun Wong, Michele Thums, 2019, Applied Sciences.

A pre-trained large generative model for translating single-cell transcriptome to proteome

Ka-chun Wong, Fan Yang, Wei Li, 2023, bioRxiv.

Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results

Ka-chun Wong, Xiangtao Li, Saifur Rahaman, 2023, Briefings Bioinform..

Herd Clustering: A synergistic data clustering approach using collective intelligence

Yue Li, Chengbin Peng, Ka-Chun Wong, 2014, Appl. Soft Comput..

PathEmb: Random Walk Based Document Embedding for Global Pathway Similarity Search

Ka-Chun Wong, Qiuzhen Lin, Sam Kwong, 2019, IEEE Journal of Biomedical and Health Informatics.

Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data

Ka-chun Wong, Yue Li, Chengbin Peng, 2017, IEEE Transactions on Cybernetics.

SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences

Ka-chun Wong, Zhaolei Zhang, 2014, Bioinform..

Chromothripsis detection with multiple myeloma patients based on deep graph learning

Ka-chun Wong, Ming Gao, Zetian Zheng, 2023, Bioinformatics.

- Metabolic Engineering: Dimensions and Applications

Ka-Chun Wong, Ka-chun Wong, 2016 .

Collective Human Mobility Pattern from Taxi Trips in Urban Area

Ka-chun Wong, Chengbin Peng, Xiaogang Jin, 2012, PloS one.

HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network

Ka-chun Wong, Xiangtao Li, Zhiqiang Ma, 2022, Briefings Bioinform..

EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network

Ka-chun Wong, Xiangtao Li, Zhiqiang Ma, 2021, Bioinform..

Correction: Collective Human Mobility Pattern from Taxi Trips in Urban Area

Ka-chun Wong, Chengbin Peng, Xiaogang Jin, 2012, PLoS ONE.

Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data

Ka-Chun Wong, Xiangtao Li, Chuang Bian, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

A pre-trained large language model for 1 translating single-cell transcriptome to 2 proteome 3

Ka-chun Wong, Fan Yang, Wei Li, 2023 .

Mini-review Recent advances in post-translational modification site prediction based on deep learning

Ka-chun Wong, Xingjian Chen, Hongyan Sun, 2022 .

Heterodimeric DNA motif synthesis and validations

You-Qiang Song, Ka-chun Wong, Qiuzhen Lin, 2018, Nucleic acids research.

DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs

Ka-chun Wong, Shixiong Zhang, Jiecong Lin, 2021, bioRxiv.

DNA Motif Recognition Modeling from Protein Sequences

Ka-chun Wong, Ka Chun, 2018, iScience.

A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information

A. Goldenberg, Ka-chun Wong, Zhaolei Zhang, 2014, Bioinform..

Big data challenges in genome informatics

Ka-chun Wong, 2018, Biophysical Reviews.

Elucidating high-dimensional cancer hallmark annotation via enriched ontology

Ka-chun Wong, Shankai Yan, 2017, J. Biomed. Informatics.

Epistasis Detection Based on Epi-GTBN.

Ka-chun Wong, Xingjian Chen, 2021, Methods in molecular biology.

Protocol for Epistasis Detection with Machine Learning Using GenEpi Package.

Ka-chun Wong, O. O. Petinrin, 2021, Methods in molecular biology.