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2020 – today
- 2023
[j98]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: 110216 (2023)- [j97]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) - [j96]Suash Deb, Ka-Chun Wong, Thomas Hanne:
2019 India International Congress on Computational Intelligence. Neural Comput. Appl. 35(2): 1053-1054 (2023) - [j95]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): 2753-2766 (2023) - 2022
- [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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): 678-686 (2022) - [j86]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): 3020-3028 (2022) - [j85]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): 4537-4545 (2022) - [j84]Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng:
A Block-Based Adaptive Decoupling Framework for Graph Neural Networks. Entropy 24(9): 1190 (2022) - [j83]Yunhe Wang, Ka-Chun Wong, Xiangtao Li:
Exploring high-throughput biomolecular data with multiobjective robust continuous clustering. Inf. Sci. 583: 239-265 (2022) - [j82]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: 739-757 (2022) - [j81]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: 104035 (2022) - [j80]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: 107633 (2022) - [j79]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: 108505 (2022) - [j78]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: 109173 (2022) - [j77]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): 1010779 (2022) - [j76]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: 101075 (2022) - [j75]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: 101084 (2022) - [j74]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): 1164-1178 (2022) - [j73]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): 11027-11040 (2022) - [j72]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): 1309-1317 (2022) - [j71]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): 4303-4313 (2022) - [j70]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): 4335-4344 (2022) - [j69]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): 5016-5027 (2022) - [c12]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: 4671-4679 - [i9]Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong:
MDM: Molecular Diffusion Model for 3D Molecule Generation. CoRR abs/2209.05710 (2022) - 2021
- [j68]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: 107683 (2021) - [j67]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) - [j66]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) - [j65]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) - [j64]Xiangtao Li, Shixiong Zhang, Ka-Chun Wong:
Deep embedded clustering with multiple objectives on scRNA-seq data. Briefings Bioinform. 22(5) (2021) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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): 3099-3105 (2021) - [j58]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): 3319-3327 (2021) - [j57]Shankai Yan, Ka-Chun Wong:
Future DNA computing device and accompanied tool stack: Towards high-throughput computation. Future Gener. Comput. Syst. 117: 111-124 (2021) - [j56]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: 100787 (2021) - [j55]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: 100790 (2021) - [j54]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): 2261-2270 (2021) - [j53]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): 2431-2444 (2021) - [j52]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): 2445-2458 (2021) - [j51]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): 4476-4487 (2021) - [j50]Xiangtao Li, Shixiong Zhang, Ka-Chun Wong:
Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data. IEEE Trans. Cybern. 51(12): 5811-5824 (2021) - [c11]Lei Huang, Wei Shao, Fuzhou Wang, Weidun Xie, Ka-Chun Wong:
Metric Learning Based Vision Transformer for Product Matching. ICONIP (1) 2021: 3-13 - [c10]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: 49-53 - [i8]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 abs/2101.09914 (2021) - [i7]Xubin Wang, Yunhe Wang, Ka-Chun Wong, Xiangtao Li:
A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection. CoRR abs/2110.14166 (2021) - 2020
- [j49]Shankai Yan, Ka-Chun Wong:
Context awareness and embedding for biomedical event extraction. Bioinform. 36(2): 637-643 (2020) - [j48]Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li:
Nature-inspired multiobjective patient stratification from cancer gene expression data. Inf. Sci. 526: 245-262 (2020) - [j47]Suash Deb, Ka-Chun Wong, Thomas Hanne:
Special issue of 2017 India International Congress on Computational Intelligence. Neural Comput. Appl. 32(15): 10797-10798 (2020) - [j46]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): 10809-10818 (2020) - [j45]Suash Deb, Ka-Chun Wong, Xin-She Yang:
EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence. Neural Comput. Appl. 32(19): 15427-15428 (2020) - [j44]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): 226-237 (2020) - [j43]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): 327-333 (2020) - [j42]Xiangtao Li, Ka-Chun Wong:
Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1773-1784 (2020) - [j41]Shankai Yan, Ka-Chun Wong:
GESgnExt: Gene Expression Signature Extraction and Meta-Analysis on Gene Expression Omnibus. IEEE J. Biomed. Health Informatics 24(1): 311-318 (2020) - [i6]Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong:
Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization. CoRR abs/2001.01006 (2020)
2010 – 2019
- 2019
- [j40]Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong:
Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications. Bioinform. 35(7): 1108-1115 (2019) - [j39]Xiangtao Li, Shixiong Zhang, Ka-Chun Wong:
Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning. Bioinform. 35(16): 2809-2817 (2019) - [j38]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): 98:1-98:30 (2019) - [j37]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: 182-200 (2019) - [j36]Xiangtao Li, Ka-Chun Wong:
Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 272-282 (2019) - [j35]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): 336-349 (2019) - [j34]Xiangtao Li, Ka-Chun Wong:
Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification. IEEE Trans. Cybern. 49(5): 1680-1693 (2019) - [j33]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): 391-405 (2019) - [j32]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): 645-659 (2019) - [j31]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): 1329-1335 (2019) - [i5]Shankai Yan, Ka-Chun Wong:
Context awareness and embedding for biomedical event extraction. CoRR abs/1905.00982 (2019) - 2018
- [j30]Jiecong Lin, Ka-Chun Wong:
Off-target predictions in CRISPR-Cas9 gene editing using deep learning. Bioinform. 34(17): i656-i663 (2018) - [j29]Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes:
A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. 22(1) (2018) - [j28]Laizhong Cui, Genghui Li, Zexuan Zhu, Qiuzhen Lin, Ka-Chun Wong, Jianyong Chen, Nan Lu, Jian Lu:
Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism. Inf. Sci. 422: 122-143 (2018) - [j27]Qiuzhen Lin, Yueping Ma, Jianyong Chen, Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong, Fei Chen:
An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies. Inf. Sci. 430: 46-64 (2018) - [j26]Peng Wei, Zhi Ning, Sheng Ye, Li Sun, Fenhuan Yang, Ka-Chun Wong, Dane Westerdahl, Peter K. K. Louie:
Impact Analysis of Temperature and Humidity Conditions on Electrochemical Sensor Response in Ambient Air Quality Monitoring. Sensors 18(2): 59 (2018) - [j25]Suash Deb, Thomas Hanne, Ka-Chun Wong:
Special issue: the International Conference on Soft Computing and Machine Intelligence. Soft Comput. 22(18): 5921-5922 (2018) - [j24]Xiangtao Li, Ka-Chun Wong:
A Comparative Study for Identifying the Chromosome-Wide Spatial Clusters from High-Throughput Chromatin Conformation Capture Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 774-787 (2018) - [j23]Qiuzhen Lin, Genmiao Jin, Yueping Ma, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang:
A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. 48(8): 2388-2401 (2018) - [j22]Qiuzhen Lin, Songbai Liu, Qingling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong, Jun Zhang:
Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 22(1): 32-46 (2018) - [j21]Xiangtao Li, Ka-Chun Wong:
Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization. IEEE J. Biomed. Health Informatics 22(5): 1619-1629 (2018) - [i4]Ka-Chun Wong:
Big Data Challenges in Genome Informatics. CoRR abs/1803.09632 (2018) - 2017
- [j20]Jiao Zhang, Sam Kwong, Yuheng Jia, Ka-Chun Wong:
NSSRF: global network similarity search with subgraph signatures and its applications. Bioinform. 33(11): 1696-1702 (2017) - [j19]Ka-Chun Wong:
MotifHyades: expectation maximization for de novo DNA motif pair discovery on paired sequences. Bioinform. 33(19): 3028-3035 (2017) - [j18]Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes:
A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. 21(6): 1463-1485 (2017) - [j17]Laizhong Cui, Genghui Li, Zexuan Zhu, Qiuzhen Lin, Zhenkun Wen, Nan Lu, Ka-Chun Wong, Jianyong Chen:
A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization. Inf. Sci. 414: 53-67 (2017) - [j16]Shankai Yan, Ka-Chun Wong:
Elucidating high-dimensional cancer hallmark annotation via enriched ontology. J. Biomed. Informatics 73: 84-94 (2017) - [j15]Ka-Chun Wong, Chengbin Peng, Yue Li:
Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data. IEEE Trans. Cybern. 47(2): 415-424 (2017) - [j14]Qingling Zhu, Qiuzhen Lin, Wei-Neng Chen, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang:
An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm. IEEE Trans. Cybern. 47(9): 2794-2808 (2017) - 2016
- [j13]Ka-Chun Wong, Yue Li, Chengbin Peng:
Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells. Bioinform. 32(3): 321-324 (2016) - [j12]Li Sun, Ka-Chun Wong, Peng Wei, Sheng Ye, Hao Huang, Fenhuan Yang, Dane Westerdahl, Peter K. K. Louie, Connie W. Y. Luk, Zhi Ning:
Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring. Sensors 16(2): 211 (2016) - [j11]Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong:
A Comparison Study for DNA Motif Modeling on Protein Binding Microarray. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 261-271 (2016) - [c9]Yueming Lyu, Qingfu Zhang, Ka-Chun Wong:
A cone order sequence based multi-objective evolutionary algorithm. CEC 2016: 2169-2176 - 2015
- [b1]Ka-Chun Wong:
Computational Methods for Learning and Predicting the DNA binding Specificities of Transcription Factors. University of Toronto, Canada, 2015 - [j10]Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang:
SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles. Bioinform. 31(1): 17-24 (2015) - [j9]Ka-Chun Wong, Chengbin Peng, Yue Li:
Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 12(6): 1416-1428 (2015) - [c8]Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes:
A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. IJCAI 2015: 2090-2096 - [c7]Ka-Chun Wong:
Data Analytics for Protein-DNA Binding Interactions. SMC 2015: 1573-1578 - [c6]Ran Wang, Sam Kwong, Qingshan Jiang, Ka-Chun Wong:
Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. SMC 2015: 2158-2163 - [i3]Ka-Chun Wong:
Evolutionary Multimodal Optimization: A Short Survey. CoRR abs/1508.00457 (2015) - [i2]Ka-Chun Wong:
Evolutionary Algorithms: Concepts, Designs, and Applications in Bioinformatics: Evolutionary Algorithms for Bioinformatics. CoRR abs/1508.00468 (2015) - [i1]Ka-Chun Wong:
A Short Survey on Data Clustering Algorithms. CoRR abs/1511.09123 (2015) - 2014
- [j8]