All Stories

  1. Context-Aware Dual-Graph Neural Network for Cellular State Inference Under Genetic Perturbations

    Article • IEEE Transactions on Big Data, October 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  2. Relation model-assisted multi-region evolutionary algorithm for expensive constrained optimization

    Article • Expert Systems with Applications, July 2026, Elsevier

    Ka-Chun Wong

  3. Bridging sequence-structure motifs and genetic variants for genome-wide dynamic RNA-protein interaction profiling

    Article • Nature Communications, May 2026, Springer Science + Business Media

    Ka-Chun Wong

  4. Interpretable modality-aware mapping of gene regulation in single-cell multiomics with scMAGCA

    Article • Nature Communications, May 2026, Springer Science + Business Media

    Ka-Chun Wong

  5. A historical search-guided evolutionary framework for dynamic multiobjective optimization

    Article • Expert Systems with Applications, April 2026, Elsevier

    Ka-Chun Wong

  6. Orthogonal disentanglement of single-cell multi-omics reveals private and shared drivers of tissue development and pathogenesis

    Article • Proceedings of the National Academy of Sciences, March 2026, Proceedings of the National Academy of Sciences

    Ka-Chun Wong

  7. Expensive multiobjective immune algorithm using a novel differential evolution in objective space

    Article • Expert Systems with Applications, March 2026, Elsevier

    Ka-Chun Wong

  8. Causal inference and explainable machine learning for analyzing treatment side effect in metastatic castration-resistant prostate cancer patients

    Article • Egyptian Informatics Journal, March 2026, Elsevier

    Ka-Chun Wong

  9. Robust characterization and interpretation of rare pathogenic cell populations from spatial omics using GARDEN

    Article • Nature Communications, January 2026, Springer Science + Business Media

    Ka-Chun Wong

  10. scSuperAnnotator: a platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data

    Article • Nucleic Acids Research, January 2026, Oxford University Press (OUP)

    Ka-Chun Wong

  11. Evolutionary multi-task robust architecture search for network intrusion detection

    Article • Expert Systems with Applications, January 2026, Elsevier

    Ka-Chun Wong

  12. UniBreak: A Unified Evolutionary Token-Level Jailbreaking Framework for Large Language Models

    Article • IEEE Transactions on Evolutionary Computation, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  13. Experience Evolution-Guided Multi-Objective Reinforcement Learning

    Article • IEEE Transactions on Evolutionary Computation, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  14. LLM-Enhanced Accumulated Learning Prediction for Evolutionary Dynamic Multiobjective Optimization

    Article • IEEE Transactions on Evolutionary Computation, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  15. A Molecular Language Model Driven Genetic Algorithm for Multi-Objective Molecular Generation

    Article • IEEE Transactions on Evolutionary Computation, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  16. Heterogeneous Federated Learning Using Reliable Prototypes with Graph Neural Networks

    Article • IEEE Transactions on Consumer Electronics, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  17. A pre-trained large generative model for translating single-cell transcriptomes to proteomes

    Article • Nature Biomedical Engineering, November 2025, Springer Science + Business Media

    Ka-Chun Wong

  18. DermaMamba: A Dual-Branch Vision Mamba Architecture with Linear Complexity for Efficient Skin Lesion Classification

    Article • Bioengineering, September 2025, MDPI AG

    Ka-Chun Wong

  19. Precision oncology informatics for anticancer drug combination responses: A systematic review

    Article • Computers in Biology and Medicine, September 2025, Elsevier

    Ka-Chun Wong

  20. scOTM: A Deep Learning Framework for Predicting Single-Cell Perturbation Responses with Large Language Models

    Article • Bioengineering, August 2025, MDPI AG

    Ka-Chun Wong

  21. DeepNanoHi-C: deep learning enables accurate single-cell nanopore long-read data analysis and 3D genome interpretation

    Article • Nucleic Acids Research, July 2025, Oxford University Press (OUP)

    Ka-Chun Wong

  22. Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE

    Article • Nature Communications, February 2025, Springer Science + Business Media

    Ka-Chun Wong

  23. EnrichRBP: an automated and interpretable computational platform for predicting and analyzing RNA-binding protein events

    Article • Bioinformatics, January 2025, Oxford University Press (OUP)

    Ka-Chun Wong

  24. Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis

    Article • IEEE Transactions on Cybernetics, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  25. When East Meets West: Cross-domain Drug Interaction Annotations with Large Language Models and Bidirectional Neural Networks

    Article • IEEE Journal of Biomedical and Health Informatics, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  26. scPER2P: Parameter-Efficient Single-Cell LLM for Translated Proteome Profiles

    Article • January 2025, Springer Science + Business Media

    Ka-Chun Wong

  27. SOPA: Sensitivity-Oriented Poisoning Attack for Self-Supervised Graph Embedding Model via Bilevel Evolutionary Optimization

    Article • IEEE Transactions on Evolutionary Computation, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  28. Federated Intrusion Detection System With Cost-Sensitive Learning for Internet of Things

    Article • IEEE Internet of Things Journal, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  29. Genetic Perturbation Modelling for Human Cell Therapy With BRNET

    Article • IEEE Journal of Biomedical and Health Informatics, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  30. M1 macrophage-related prognostic model by combining bulk and single-cell transcriptomic data in NSCLC

    Article • Exploration of Medicine, November 2024, Open Exploration Publishing

    Ka-Chun Wong

  31. UniPTM: Multiple PTM site prediction on full-length protein sequence

    Article • August 2024, Cold Spring Harbor Laboratory Press

    Ka-Chun Wong

  32. Unraveling Spatial Domain Characterization in Spatially Resolved Transcriptomics with Robust Graph Contrastive Clustering

    Article • Bioinformatics, July 2024, Oxford University Press (OUP)

    Ka-Chun Wong

  33. HE2Gene: Image-to-RNA translation via multi-task learning for spatial transcriptomics data

    Article • Bioinformatics, June 2024, Oxford University Press (OUP)

    Ka-Chun Wong

  34. SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues

    Article • Communications Biology, June 2024, Springer Science + Business Media

    Ka-Chun Wong

  35. TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation

    Article • Briefings in Bioinformatics, May 2024, Oxford University Press (OUP)

    Ka-Chun Wong

  36. Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation

    Article • Nucleic Acids Research, April 2024, Oxford University Press (OUP)

    Ka-Chun Wong

  37. TransPTM: a transformer-based model for non-histone acetylation site prediction

    Article • Briefings in Bioinformatics, March 2024, Oxford University Press (OUP)

    Ka-Chun Wong

  38. A dual diffusion model enables 3D molecule generation and lead optimization based on target pockets

    Article • Nature Communications, March 2024, Springer Science + Business Media

    Ka-Chun Wong

  39. Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization

    Article • Expert Systems with Applications, February 2024, Elsevier

    Ka-Chun Wong

  40. Core–Periphery Detection Based on Masked Bayesian Nonnegative Matrix Factorization

    Article • IEEE Transactions on Computational Social Systems, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  41. Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  42. Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data

    Article • IEEE Transactions on Emerging Topics in Computational Intelligence, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  43. Directed Link Prediction using GNN with Local and Global Feature Fusion

    Article • IEEE Transactions on Network Science and Engineering, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  44. Synergizing Anti-Cancer Drug Combinations With Dual-View Hypergraph Representation Fusion

    Article • IEEE Journal of Biomedical and Health Informatics, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  45. Automated exploitation of deep learning for cancer patient stratification across multiple types

    Article • Bioinformatics, November 2023, Oxford University Press (OUP)

    Ka-Chun Wong

  46. Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet

    Article • Nature Communications, October 2023, Springer Science + Business Media

    Ka-Chun Wong

  47. Evolutionary Multitasking for Large-Scale Multiobjective Optimization

    Article • IEEE Transactions on Evolutionary Computation, August 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  48. Chromothripsis Detection with Multiple Myeloma Patients Based on Deep Graph Learning

    Article • Bioinformatics, July 2023, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Briefings in Bioinformatics, July 2023, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • IEEE Transactions on Systems Man and Cybernetics Systems, June 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  51. Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms

    Article • IEEE Transactions on Evolutionary Computation, June 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  52. Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery

    Article • IEEE Transactions on Cybernetics, May 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  53. A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search

    Article • February 2023, ACM (Association for Computing Machinery)

    Ka-Chun Wong

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

    Article • Bioinformatics, February 2023, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Nature Communications, January 2023, Springer Science + Business Media

    Ka-Chun Wong

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

    Article • Communications Biology, January 2023, Springer Science + Business Media

    Ka-Chun Wong

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

    Article • Computational and Structural Biotechnology Journal, January 2023, Elsevier

    Ka-Chun Wong

  58. Spatial–Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data

    Article • IEEE Transactions on Neural Networks and Learning Systems, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  59. Towards Evolutionary Multi-Task Convolutional Neural Architecture Search

    Article • IEEE Transactions on Evolutionary Computation, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Briefings in Bioinformatics, October 2022, Oxford University Press (OUP)

    Ka-Chun Wong

  61. Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification

    Article • IEEE Transactions on Cybernetics, October 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  62. Improving Chemical Reaction Prediction with Unlabeled Data

    Article • Molecules, September 2022, MDPI AG

    Ka-Chun Wong

  63. A Block-Based Adaptive Decoupling Framework for Graph Neural Networks

    Article • Entropy, August 2022, MDPI AG

    Ka-Chun Wong

  64. scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information

    Article • Bioinformatics, August 2022, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • IEEE Transactions on Systems Man and Cybernetics Systems, August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • IEEE Journal of Biomedical and Health Informatics, August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • IEEE Journal of Biomedical and Health Informatics, August 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Knowledge-Based Systems, May 2022, Elsevier

    Ka-Chun Wong

  69. GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering

    Article • Bioinformatics, April 2022, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • iScience, April 2022, Elsevier

    Ka-Chun Wong

  71. Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network

    Article • Journal of Biomedical Informatics, April 2022, Elsevier

    Ka-Chun Wong

  72. Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients

    Article • IEEE Journal of Biomedical and Health Informatics, March 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Briefings in Bioinformatics, February 2022, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • IEEE Transactions on Cybernetics, February 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  75. A self-adaptive weighted differential evolution approach for large-scale feature selection

    Article • Knowledge-Based Systems, January 2022, Elsevier

    Ka-Chun Wong

  76. Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI

    Article • IEEE Transactions on Neural Networks and Learning Systems, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  77. Exploring high-throughput biomolecular data with multiobjective robust continuous clustering

    Article • Information Sciences, January 2022, Elsevier

    Ka-Chun Wong

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

    Article • Computers Materials & Continua, January 2022, Computers, Materials and Continua (Tech Science Press)

    Ka-Chun Wong

  79. Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data

    Article • IEEE Transactions on Cybernetics, December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  80. EGFI: drug–drug interaction extraction and generation with fusion of enriched entity and sentence information

    Article • Briefings in Bioinformatics, November 2021, Oxford University Press (OUP)

    Ka-Chun Wong

  81. Categorical Matrix Completion With Active Learning for High-Throughput Screening

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  82. Evolving Multiobjective Cancer Subtype Diagnosis From Cancer Gene Expression Data

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  83. Evolving Transcriptomic Profiles From Single-Cell RNA-Seq Data Using Nature-Inspired Multiobjective Optimization

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, November 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  84. Finding core–periphery structures in large networks

    Article • Physica A Statistical Mechanics and its Applications, November 2021, Elsevier

    Ka-Chun Wong

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

    Article • Applied Soft Computing, November 2021, Elsevier

    Ka-Chun Wong

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

    Article • Bioinformatics, October 2021, Oxford University Press (OUP)

    Ka-Chun Wong

  87. High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning

    Article • Briefings in Bioinformatics, September 2021, Oxford University Press (OUP)

    Ka-Chun Wong

  88. DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs

    Article • Briefings in Bioinformatics, September 2021, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Biomolecules, September 2021, MDPI AG

    Ka-Chun Wong

  90. Nature-Inspired Compressed Sensing for Transcriptomic Profiling From Random Composite Measurements

    Article • IEEE Transactions on Cybernetics, September 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  91. iDeepSubMito: identification of protein submitochondrial localization with deep learning

    Article • Briefings in Bioinformatics, July 2021, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Life, June 2021, MDPI AG

    Ka-Chun Wong

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

    Article • Briefings in Bioinformatics, June 2021, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Briefings in Bioinformatics, April 2021, Oxford University Press (OUP)

    Ka-Chun Wong

  95. Feature Selection and Feature Extraction: Highlights

    Article • April 2021, ACM (Association for Computing Machinery)

    Ka-Chun Wong

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

    Article • Bioinformatics, April 2021, Oxford University Press (OUP)

    Ka-Chun Wong

  97. Deep embedded clustering with multiple objectives on scRNA-seq data

    Article • Briefings in Bioinformatics, April 2021, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Journal of Gastroenterology and Hepatology, April 2021, Wiley

    Ka-Chun Wong

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

    Article • Future Generation Computer Systems, April 2021, Elsevier

    Ka-Chun Wong

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

    Article • Swarm and Evolutionary Computation, February 2021, Elsevier

    Ka-Chun Wong

  101. Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection

    Article • Swarm and Evolutionary Computation, February 2021, Elsevier

    Ka-Chun Wong

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

    Article • Bioinformatics, January 2021, Oxford University Press (OUP)

    Ka-Chun Wong

  103. Identification of haploinsufficient genes from epigenomic data using deep forest

    Article • Briefings in Bioinformatics, January 2021, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • January 2021, Springer Science + Business Media

    Ka-Chun Wong

  105. Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using ‘Epistasis’ Package

    Article • January 2021, Springer Science + Business Media

    Ka-Chun Wong

  106. Epistasis Analysis: Classification Through Machine Learning Methods

    Article • January 2021, Springer Science + Business Media

    Ka-Chun Wong

  107. Epistasis Detection Based on Epi-GTBN

    Article • January 2021, Springer Science + Business Media

    Ka-Chun Wong

  108. Epistasis

    Article • January 2021, Springer Science + Business Media

    Ka-Chun Wong

  109. Metric Learning Based Vision Transformer for Product Matching

    Article • January 2021, Springer Science + Business Media

    Ka-Chun Wong

  110. Protocol for Epistasis Detection with Machine Learning Using GenEpi Package

    Article • January 2021, Springer Science + Business Media

    Ka-Chun Wong

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

    Article • Briefings in Bioinformatics, October 2020, Oxford University Press (OUP)

    Ka-Chun Wong

  112. Identification of pan-cancer Ras pathway activation with deep learning

    Article • Briefings in Bioinformatics, October 2020, Oxford University Press (OUP)

    Ka-Chun Wong

  113. EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence

    Article • Neural Computing and Applications, August 2020, Springer Science + Business Media

    Ka-Chun Wong

  114. Nature-inspired multiobjective patient stratification from cancer gene expression data

    Article • Information Sciences, July 2020, Elsevier

    Ka-Chun Wong

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

    Article • Briefings in Bioinformatics, June 2020, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Advanced Science, May 2020, Wiley

    Ka-Chun Wong

  117. Special issue of 2017 India International Congress on Computational Intelligence

    Article • Neural Computing and Applications, April 2020, Springer Science + Business Media

    Ka-Chun Wong

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

    Article • Nucleic Acids Research, March 2020, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • IEEE Journal of Biomedical and Health Informatics, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  121. DNA Sequencing Technologies

    Article • ACM Computing Surveys, October 2019, ACM (Association for Computing Machinery)

    Ka-Chun Wong

  122. Context awareness and embedding for biomedical event extraction

    Article • Bioinformatics, August 2019, Oxford University Press (OUP)

    Ka-Chun Wong

  123. An Effective Ensemble Framework for Multiobjective Optimization

    Article • IEEE Transactions on Evolutionary Computation, August 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  124. A novel multi-objective evolutionary algorithm with dynamic decomposition strategy

    Article • Swarm and Evolutionary Computation, August 2019, Elsevier

    Ka-Chun Wong

  125. Deep Learning Resolves Representative Movement Patterns in a Marine Predator Species

    Article • Applied Sciences, July 2019, MDPI AG

    Ka-Chun Wong

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

    Article • IEEE Transactions on Evolutionary Computation, June 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  127. Early Cancer Detection from Multianalyte Blood Test Results

    Article • iScience, May 2019, Elsevier

    Ka-Chun Wong

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

    Article • IEEE Journal of Biomedical and Health Informatics, May 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  129. Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification

    Article • IEEE Transactions on Cybernetics, May 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  130. Big data challenges in genome informatics

    Article • Biophysical Reviews, January 2019, Springer Science + Business Media

    Ka-Chun Wong

  131. Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  132. Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  134. Nature-Inspired Multiobjective Cancer Subtype Diagnosis

    Article • IEEE Journal of Translational Engineering in Health and Medicine, January 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Bioinformatics, December 2018, Oxford University Press (OUP)

    Ka-Chun Wong

  136. Heterodimeric DNA motif synthesis and validations

    Article • Nucleic Acids Research, December 2018, Oxford University Press (OUP)

    Ka-Chun Wong

  137. A novel semi-supervised model for miRNA-disease association prediction based on $$\ell_{1}$$ ℓ 1 -norm graph

    Article • Journal of Translational Medicine, December 2018, Springer Science + Business Media

    Ka-Chun Wong

  138. An Improved Neural Network Cascade for Face Detection in Large Scene Surveillance

    Article • Applied Sciences, November 2018, MDPI AG

    Ka-Chun Wong

  139. DNA Motif Recognition Modeling from Protein Sequences

    Article • iScience, September 2018, Elsevier

    Ka-Chun Wong

  140. Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization

    Article • IEEE Journal of Biomedical and Health Informatics, September 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Bioinformatics, September 2018, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Bioinformatics, August 2018, Oxford University Press (OUP)

    Ka-Chun Wong

  143. Special issue: the International Conference on Soft Computing and Machine Intelligence

    Article • Soft Computing, August 2018, Springer Science + Business Media

    Ka-Chun Wong

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

    Article • IEEE Transactions on Cybernetics, August 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, May 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Oncogene, April 2018, Springer Science + Business Media

    Ka-Chun Wong

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

    Article • Hepatology, March 2018, Wolters Kluwer Health

    Ka-Chun Wong

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

    Article • Neural Computing and Applications, March 2018, Springer Science + Business Media

    Ka-Chun Wong

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

    Article • Information Sciences, March 2018, Elsevier

    Ka-Chun Wong

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

    Article • IEEE Transactions on Evolutionary Computation, February 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, January 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Information Sciences, January 2018, Elsevier

    Ka-Chun Wong

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

    Article • Intelligent Data Analysis, November 2017, IOS Press

    Ka-Chun Wong

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

    Article • Information Sciences, November 2017, Elsevier

    Ka-Chun Wong

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

    Article • IEEE Transactions on NanoBioscience, September 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  156. An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm

    Article • IEEE Transactions on Cybernetics, September 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  157. Elucidating high-dimensional cancer hallmark annotation via enriched ontology

    Article • Journal of Biomedical Informatics, September 2017, Elsevier

    Ka-Chun Wong

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

    Article • Bioinformatics, June 2017, Oxford University Press (OUP)

    Ka-Chun Wong

  159. Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data

    Article • IEEE Transactions on Cybernetics, February 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Bioinformatics, January 2017, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • IEEE Transactions on NanoBioscience, January 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  162. A Comparison Study for DNA Motif Modeling on Protein Binding Microarray

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, March 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  163. Unsupervised Learning in Genome Informatics

    Article • January 2016, Springer Science + Business Media

    Ka-Chun Wong

  164. A Novel Approach to Predict Core Residues on Cancer-Related DNA-Binding Domains

    Article • Cancer Informatics, January 2016, SAGE Publications

    Ka-Chun Wong

  165. Big Data Analytics in Genomics

    Article • January 2016, Springer Science + Business Media

    Ka-Chun Wong

  166. Computational learning on specificity-determining residue-nucleotide interactions

    Article • Nucleic Acids Research, November 2015, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • IEEE/ACM Transactions on Computational Biology and Bioinformatics, November 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  168. A Short Survey on Data Clustering Algorithms

    Article • November 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  169. Data Analytics for Protein-DNA Binding Interactions

    Article • October 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

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

    Article • Bioinformatics, September 2015, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • December 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  172. Herd Clustering: A synergistic data clustering approach using collective intelligence

    Article • Applied Soft Computing, October 2014, Elsevier

    Ka-Chun Wong

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

    Article • Genome Biology and Evolution, October 2014, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Bioinformatics, September 2014, Oxford University Press (OUP)

    Ka-Chun Wong

  175. Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion

    Article • Bioinformatics, June 2014, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Nucleic Acids Research, March 2014, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Bioinformatics, January 2014, Oxford University Press (OUP)

    Ka-Chun Wong

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

    Article • Bioinformatics, October 2013, Oxford University Press (OUP)

    Ka-Chun Wong

  179. DNA motif elucidation using belief propagation

    Article • Nucleic Acids Research, June 2013, Oxford University Press (OUP)

    Ka-Chun Wong

  180. Multiplicative Algorithms for Constrained Non-negative Matrix Factorization

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Ka-Chun Wong

  181. Evolutionary multimodal optimization using the principle of locality

    Article • Information Sciences, July 2012, Elsevier

    Ka-Chun Wong

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

    Article • PLOS One, June 2012, PLOS

    Ka-Chun Wong

  183. Collective Human Mobility Pattern from Taxi Trips in Urban Area

    Article • PLOS One, April 2012, PLOS

    Ka-Chun Wong

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

    Article • International Journal of Geographical Information Science, January 2012, Taylor & Francis

    Scientist Wei Zhang, Ka-Chun Wong

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

    Article • Soft Computing, February 2011, Springer Science + Business Media

    Ka-Chun Wong

  186. Discovering approximate-associated sequence patterns for protein–DNA interactions

    Article • Bioinformatics, December 2010, Oxford University Press (OUP)

    Ka-Chun Wong

  187. Protein structure prediction on a lattice model via multimodal optimization techniques

    Article • July 2010, ACM (Association for Computing Machinery)

    Ka-Chun Wong

  188. Discovering protein–DNA binding sequence patterns using association rule mining

    Article • Nucleic Acids Research, June 2010, Oxford University Press (OUP)

    Ka-Chun Wong

  189. An evolutionary algorithm with species-specific explosion for multimodal optimization

    Article • July 2009, ACM (Association for Computing Machinery)

    Ka-Chun Wong

  190. Evolutionary Algorithms

    Article • IGI Global

    Ka-Chun Wong