Ka-Chun Wong - RankMe

176 papers A* 7A 2B 3Misc 1Journal 154Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A historical search-guided evolutionary framework for dynamic multiobjective optimization. Expert Syst. Appl. Qingling Zhu, Jiahao Fu, Ping Guo, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li
2026	J	`jnl`	Evolutionary multi-task robust architecture search for network intrusion detection. Expert Syst. Appl. Yeming Yang, Zhihao Liu, Ka-Chun Wong, Qiuzhen Lin, Jianping Luo, Jian-Qiang Li
2026	J	`jnl`	Expensive multiobjective immune algorithm using a novel differential evolution in objective space. Expert Syst. Appl. Yuchao Su, Wu Lin, Daxin Zhu, Anhui Tan, Ka-Chun Wong, Qiuzhen Lin
2026	J	`jnl`	Federated surrogate-assisted evolutionary framework for distributed data-driven multiobjective optimization. Inf. Sci. Qianhui Ding, Wu Lin, Yinglan Feng, Lijia Ma, Ka-Chun Wong, Qiuzhen Lin, Jianqiang Li
2026	J	`jnl`	Relation model-assisted multi-region evolutionary algorithm for expensive constrained optimization. Expert Syst. Appl. Yuxi Huang, Genghui Li, Ming Dai, Laizhong Cui, Wangjun Chen, Zhicai Zhu, Yuchao Su, Qiuzhen Lin, Ka-Chun Wong
2026	J	`jnl`	scREPA: Predicting single-cell perturbation responses with cycle-consistent representation alignment. Comput. Biol. Chem. Yuchen Wang, Xingjian Chen, Xiangtao Li, Ka-Chun Wong
2025	—	`conf`	Addressing Capture Bias in Tomato Disease Classification with Deep Transfer Learning. ICONIP (5) Muhammad Toseef, Malik Jahan Khan, Saifur Rahaman, Atta Ullah, Olutomilayo Olayemi Petinrin, Xiangtao Li, Ka-Chun Wong
2025	J	`jnl`	DDintensity: Addressing imbalanced drug-drug interaction risk levels using pre-trained deep learning model embeddings. Artif. Intell. Medicine Weidun Xie, Xingjian Chen, Lei Huang, Zetian Zheng, Yuchen Wang, Ruoxuan Zhang, Xiao Zhang, Zhichao Liu, Chengbin Peng, Monika Gullerova, Ka-Chun Wong
2025	J	`jnl`	Directed Link Prediction Using GNN With Local and Global Feature Fusion. IEEE Trans. Netw. Sci. Eng. Yuyang Zhang, Xu Shen, Yu Xie, Ka-Chun Wong, Weidun Xie, Chengbin Peng
2025	J	`jnl`	Directed Link Prediction using GNN with Local and Global Feature Fusion. CoRR Yuyang Zhang, Xu Shen, Yu Xie, Ka-Chun Wong, Weidun Xie, Chengbin Peng
2025	J	`jnl`	Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. IEEE Trans. Cybern. Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan
2025	J	`jnl`	Editorial: 2020 India international congress on computational intelligence. Neural Comput. Appl. Suash Deb, Ka-Chun Wong, Thomas Hanne
2025	J	`jnl`	Elucidating spatiotemporal chromatin dynamics with multi-stage differential variations from Hi-C. Knowl. Based Syst. Zhongshen Li, Jixiang Yu, Shen You, Leyi Wei, Qiuzhen Lin, Xiangtao Li, Ka-Chun Wong
2025	J	`jnl`	EnrichRBP: an automated and interpretable computational platform for predicting and analysing RNA-binding protein events. Bioinform. Yubo Wang, Haoran Zhu, Yansong Wang, Yuning Yang, Yujian Huang, Jian Zhang, Ka-Chun Wong, Xiangtao Li
2025	J	`jnl`	Feasibility-guided search and prediction for dynamic constrained multiobjective evolutionary optimization. Swarm Evol. Comput. Lisha Dong, Qianhui Wang, Qiongfang Liu, Junkai Ji, Ka-Chun Wong, Qiuzhen Lin
2025	J	`jnl`	Federated Intrusion Detection System With Cost-Sensitive Learning for Internet of Things. IEEE Internet Things J. Qiuzhen Lin, Wang Liu, Shaifeng Zheng, Junkai Ji, Ka-Chun Wong, Jianqiang Li, Carlos A. Coello Coello
2025	J	`jnl`	Personalized federated learning with multiple classifier aggregation. Knowl. Based Syst. Shaifeng Zheng, Qingling Zhu, Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Jian-Qiang Li
2025	J	`jnl`	Precision oncology informatics for anticancer drug combination responses: A systematic review. Comput. Biol. Medicine Saifur Rahaman, Peter Wang, Jun Yu, Tania Rahman, Muhammad Toseef, Ibrahim Mohammed Sayem, Xiangtao Li, Ka-Chun Wong
2025	J	`jnl`	Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion. CoRR Dong Xu, Zhangfan Yang, Ka-Chun Wong, Zexuan Zhu, Jian-Qiang Li, Junkai Ji
2025	J	`jnl`	When East Meets West: Cross-Domain Drug Interaction Annotations With Large Language Models and Bidirectional Neural Networks. IEEE J. Biomed. Health Informatics Ruoxuan Zhang, Weidun Xie, Qiuzhen Lin, Xiangtao Li, Ka-Chun Wong
2025	J	`jnl`	cis-positional information in regulatory single nucleotide variation prioritization. Briefings Bioinform. Ka-Chun Wong, Zhongyu Yao, Weidun Xie, Zhongshen Li, Tianchi Lu, Cho Ling
2024	J	`jnl`	A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation. IEEE Trans. Artif. Intell. 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
2024	J	`jnl`	A complementary fused method using GRU and XGBoost models for long-term solar energy hourly forecasting. Expert Syst. Appl. Yaojian Xu, Shaifeng Zheng, Qingling Zhu, Ka-Chun Wong, Xu Wang, Qiuzhen Lin
2024	J	`jnl`	A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization. Eng. Appl. Artif. Intell. Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jian-Qiang Li, Zhong Ming, Carlos A. Coello Coello
2024	A*	`conf`	A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis. NeurIPS Lei Huang, Lei Xiong, Na Sun, Zunpeng Liu, Ka-Chun Wong, Manolis Kellis
2024	J	`jnl`	Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. IEEE Trans. Neural Networks Learn. Syst. Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
2024	J	`jnl`	CAGAN: Constrained neural architecture search for GANs. Knowl. Based Syst. Yeming Yang, Xinzhi Zhang, Qingling Zhu, Weineng Chen, Ka-Chun Wong, Qiuzhen Lin
2024	J	`jnl`	Core-Periphery Detection Based on Masked Bayesian Nonnegative Matrix Factorization. IEEE Trans. Comput. Soc. Syst. Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng
2024	J	`jnl`	Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization. CoRR Zhonghao Wang, Ru Yuan, Jiaye Fu, Ka-Chun Wong, Chengbin Peng
2024	J	`jnl`	DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning. Comput. Biol. Medicine Weidun Xie, Jixiang Yu, Lei Huang, Lek Shyuen For, Zetian Zheng, Xingjian Chen, Yuchen Wang, Zhichao Liu, Chengbin Peng, Ka-Chun Wong
2024	J	`jnl`	Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization. Expert Syst. Appl. Xubin Wang, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2024	J	`jnl`	Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner. IEEE ACM Trans. Comput. Biol. Bioinform. Xubin Wang, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2024	J	`jnl`	Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner. CoRR Xubin Wang, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2024	J	`jnl`	HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinform. Xingjian Chen, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie, Zetian Zheng, Ka-Chun Wong
2024	J	`jnl`	MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Comput. Biol. Medicine Zhe Liu, Hiu-Man Wong, Xingjian Chen, Jiecong Lin, Shixiong Zhang, Shankai Yan, Fuzhou Wang, Xiangtao Li, Ka-Chun Wong
2024	J	`jnl`	Multi-objective evolutionary neural architecture search for network intrusion detection. Swarm Evol. Comput. Qiuzhen Lin, Zhihao Liu, Yeming Yang, Ka-Chun Wong, Yahui Lu, Jianqiang Li
2024	J	`jnl`	Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. IEEE Trans. Neural Networks Learn. Syst. Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
2024	J	`jnl`	Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. Rui Liu, Zhi-An Huang, Yao Hu, Lei Huang, Ka-Chun Wong, Kay Chen Tan
2024	J	`jnl`	TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation. Briefings Bioinform. Nanjun Chen, Jixiang Yu, Zhe Liu, Fuzhou Wang, Xiangtao Li, Ka-Chun Wong
2024	J	`jnl`	Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan
2024	J	`jnl`	TransPTM: a transformer-based model for non-histone acetylation site prediction. Briefings Bioinform. Lingkuan Meng, Xingjian Chen, Ke Cheng, Nanjun Chen, Zetian Zheng, Fuzhou Wang, Hongyan Sun, Ka-Chun Wong
2024	J	`jnl`	Unraveling spatial domain characterization in spatially resolved transcriptomics with robust graph contrastive clustering. Bioinform. Yingxi Zhang, Zhuohan Yu, Ka-Chun Wong, Xiangtao Li
2024	A*	`conf`	Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport. AAAI Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong
2024	—	`conf`	scPER2P: Parameter-Efficient Single-Cell LLM for Translated Proteome Profiles. ICONIP (5) Yuchen Wang, Xingjian Chen, Zetian Zheng, Weidun Xie, Fuzhou Wang, Lei Huang, Ka-Chun Wong
2023	J	`jnl`	2019 India International Congress on Computational Intelligence. Neural Comput. Appl. Suash Deb, Ka-Chun Wong, Thomas Hanne
2023	Misc	`conf`	A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. ICMLC Xun Zhou, Songbai Liu, Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan
2023	J	`jnl`	An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. Lingjie Li, Qiuzhen Lin, Zhong Ming, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello
2023	J	`jnl`	Automated exploitation of deep learning for cancer patient stratification across multiple types. Bioinform. Pingping Sun, Shijie Fan, Shaochuan Li, Yingwei Zhao, Chang Lu, Ka-Chun Wong, Xiangtao Li
2023	J	`jnl`	Chromothripsis detection with multiple myeloma patients based on deep graph learning. Bioinform. Jixiang Yu, Nanjun Chen, Zetian Zheng, Ming Gao, Ning Liang, Ka-Chun Wong
2023	J	`jnl`	Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results. Briefings Bioinform. Muhammad Toseef, Olutomilayo Olayemi Petinrin, Fuzhou Wang, Saifur Rahaman, Zhe Liu, Xiangtao Li, Ka-Chun Wong
2023	J	`jnl`	DiffDTM: A conditional structure-free framework for bioactive molecules generation targeted for dual proteins. CoRR 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
2023	—	`conf`	EARA: Improving Biomedical Semantic Textual Similarity with Entity-Aligned Attention and Retrieval Augmentation. EMNLP (Findings) Ying Xiong, Xin Yang, Linjing Liu, Ka-Chun Wong, Qingcai Chen, Yang Xiang, Buzhou Tang
2023	J	`jnl`	Evolutionary Large-Scale Multiobjective Optimization: Benchmarks and Algorithms. IEEE Trans. Evol. Comput. Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Qing Li, Kay Chen Tan
2023	J	`jnl`	Evolutionary Multitasking for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. Songbai Liu, Qiuzhen Lin, Liang Feng, Ka-Chun Wong, Kay Chen Tan
2023	J	`jnl`	Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery. IEEE Trans. Cybern. Yanchi Su, Haoran Zhu, Ka-Chun Wong, Yi Chang, Xiangtao Li
2023	A*	`conf`	MDM: Molecular Diffusion Model for 3D Molecule Generation. AAAI Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
2023	J	`jnl`	Multi-objective evolving long-short term memory networks with attention for network intrusion detection. Appl. Soft Comput. Wenhong Wei, Yi Chen, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong, Jianqiang Li
2023	—	`conf`	Taxation and Housing on Population Dynamics: Multi-Agent Simulations. ISCMI Nanjun Chen, Hiu-Man Wong, Jixiang Yu, Lingkuan Meng, Ka-Chun Wong
2023	A*	`conf`	Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics. AAAI Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
2023	J	`jnl`	scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering. Bioinform. Yunhe Wang, Zhuohan Yu, Shaochuan Li, Chuang Bian, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
2022	J	`jnl`	A Block-Based Adaptive Decoupling Framework for Graph Neural Networks. Entropy Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng
2022	J	`jnl`	A Self-Guided Reference Vector Strategy for Many-Objective Optimization. IEEE Trans. Cybern. Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Zhong Ming, Jun Zhang
2022	J	`jnl`	A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering. Swarm Evol. Comput. Qiyuan Yu, Qiuzhen Lin, Zexuan Zhu, Ka-Chun Wong, Carlos A. Coello Coello
2022	J	`jnl`	A self-adaptive weighted differential evolution approach for large-scale feature selection. Knowl. Based Syst. Xubin Wang, Yunhe Wang, Ka-Chun Wong, Xiangtao Li
2022	J	`jnl`	A self-organizing weighted optimization based framework for large-scale multi-objective optimization. Swarm Evol. Comput. Yongfeng Li, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Zhong Ming, Carlos A. Coello Coello
2022	J	`jnl`	CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation. Briefings Bioinform. Lei Huang, Jiecong Lin, Rui Liu, Zetian Zheng, Lingkuan Meng, Xingjian Chen, Xiangtao Li, Ka-Chun Wong
2022	J	`jnl`	Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning. BioData Min. Shaochuan Li, Yuning Yang, Xin Wang, Jun Li, Jun Yu, Xiangtao Li, Ka-Chun Wong
2022	J	`jnl`	DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs. Briefings Bioinform. Jiecong Lin, Lei Huang, Xingjian Chen, Shixiong Zhang, Ka-Chun Wong
2022	J	`jnl`	EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network. Bioinform. Yawei Wang, Yuning Yang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2022	J	`jnl`	EGFI: drug-drug interaction extraction and generation with fusion of enriched entity and sentence information. Briefings Bioinform. Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Zetian Zheng, Ka-Chun Wong
2022	J	`jnl`	Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification. IEEE Trans. Cybern. Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang
2022	J	`jnl`	Exploring high-throughput biomolecular data with multiobjective robust continuous clustering. Inf. Sci. Yunhe Wang, Ka-Chun Wong, Xiangtao Li
2022	J	`jnl`	GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering. Bioinform. Yifu Lu, Zhuohan Yu, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2022	J	`jnl`	Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. PLoS Comput. Biol. Yansong Wang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Xiangtao Li
2022	J	`jnl`	HCRNet: high-throughput circRNA-binding event identification from CLIP-seq data using deep temporal convolutional network. Briefings Bioinform. Yuning Yang, Zilong Hou, Yansong Wang, Hongli Ma, Pingping Sun, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2022	J	`jnl`	High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning. Briefings Bioinform. Xiangtao Li, Shaochuan Li, Lei Huang, Shixiong Zhang, Ka-Chun Wong
2022	J	`jnl`	Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing. Knowl. Based Syst. Yi Chen, Qiuzhen Lin, Wenhong Wei, Junkai Ji, Ka-Chun Wong, Carlos A. Coello Coello
2022	J	`jnl`	Knowledge guided Bayesian classification for dynamic multi-objective optimization. Knowl. Based Syst. Yulong Ye, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li, Zhong Ming
2022	J	`jnl`	Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network. J. Biomed. Informatics Ying Xiong, Hao Peng, Yang Xiang, Ka-Chun Wong, Qingcai Chen, Jun Yan, Buzhou Tang
2022	J	`jnl`	MDM: Molecular Diffusion Model for 3D Molecule Generation. CoRR Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong
2022	J	`jnl`	Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data. IEEE Trans. Syst. Man Cybern. Syst. Yunhe Wang, Chuang Bian, Ka-Chun Wong, Xiangtao Li, Shengxiang Yang
2022	J	`jnl`	Multiple source transfer learning for dynamic multiobjective optimization. Inf. Sci. Yulong Ye, Qiuzhen Lin, Lijia Ma, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello
2022	J	`jnl`	Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients. IEEE J. Biomed. Health Informatics Olutomilayo Olayemi Petinrin, Xiangtao Li, Ka-Chun Wong
2022	J	`jnl`	Reducing healthcare disparities using multiple multiethnic data distributions with fine-tuning of transfer learning. Briefings Bioinform. Muhammad Toseef, Xiangtao Li, Ka-Chun Wong
2022	J	`jnl`	SRG-Vote: Predicting Mirna-Gene Relationships via Embedding and LSTM Ensemble. IEEE J. Biomed. Health Informatics Weidun Xie, Zetian Zheng, Weitong Zhang, Lei Huang, Qiuzhen Lin, Ka-Chun Wong
2022	J	`jnl`	Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma. IEEE J. Biomed. Health Informatics Zetian Zheng, Weidun Xie, Xingjian Chen, Fuzhou Wang, Lei Huang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
2022	A*	`conf`	ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations. AAAI Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li
2022	J	`jnl`	scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information. Bioinform. Yanchi Su, Fuzhou Wang, Shixiong Zhang, Yanchun Liang, Ka-Chun Wong, Xiangtao Li
2021	J	`jnl`	A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection. CoRR Xubin Wang, Yunhe Wang, Ka-Chun Wong, Xiangtao Li
2021	J	`jnl`	A novel surrogate-assisted evolutionary algorithm with an uncertainty grouping based infill criterion. Swarm Evol. Comput. Qunfeng Liu, Xunfeng Wu, Qiuzhen Lin, Junkai Ji, Ka-Chun Wong
2021	J	`jnl`	CancerEMC: frontline non-invasive cancer screening from circulating protein biomarkers and mutations in cell-free DNA. Bioinform. Saifur Rahaman, Xiangtao Li, Jun Yu, Ka-Chun Wong
2021	J	`jnl`	Categorical Matrix Completion With Active Learning for High-Throughput Screening. IEEE ACM Trans. Comput. Biol. Bioinform. Junyi Chen, Junhui Hou, Ka-Chun Wong
2021	J	`jnl`	Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection. Swarm Evol. Comput. Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong
2021	J	`jnl`	Deep embedded clustering with multiple objectives on scRNA-seq data. Briefings Bioinform. Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
2021	J	`jnl`	EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information. CoRR Lei Huang, Jiecong Lin, Xiangtao Li, Linqi Song, Ka-Chun Wong
2021	J	`jnl`	Early cancer detection from genome-wide cell-free DNA fragmentation via shuffled frog leaping algorithm and support vector machine. Bioinform. Linjing Liu, Xingjian Chen, Ka-Chun Wong
2021	J	`jnl`	Elucidating transcriptomic profiles from single-cell RNA sequencing data using nature-inspired compressed sensing. Briefings Bioinform. Zhuohan Yu, Chuang Bian, Genggeng Liu, Shixiong Zhang, Ka-Chun Wong, Xiangtao Li
2021	J	`jnl`	Evolving Multiobjective Cancer Subtype Diagnosis From Cancer Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2021	J	`jnl`	Evolving Transcriptomic Profiles From Single-Cell RNA-Seq Data Using Nature-Inspired Multiobjective Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
2021	—	`conf`	Feature Selection and Feature Extraction: Highlights. ISMSI Hiu-Man Wong, Xingjian Chen, Hiu-Hin Tam, Jiecong Lin, Shixiong Zhang, Shankai Yan, Xiangtao Li, Ka-Chun Wong
2021	J	`jnl`	Future DNA computing device and accompanied tool stack: Towards high-throughput computation. Future Gener. Comput. Syst. Shankai Yan, Ka-Chun Wong
2021	J	`jnl`	Human host status inference from temporal microbiome changes via recurrent neural networks. Briefings Bioinform. Xingjian Chen, Lingjing Liu, Weitong Zhang, Jianyi Yang, Ka-Chun Wong
2021	J	`jnl`	Identification of haploinsufficient genes from epigenomic data using deep forest. Briefings Bioinform. Yuning Yang, Shaochuan Li, Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2021	J	`jnl`	Identification of pan-cancer Ras pathway activation with deep learning. Briefings Bioinform. Xiangtao Li, Shaochuan Li, Yunhe Wang, Shixiong Zhang, Ka-Chun Wong
2021	—	`conf`	Metric Learning Based Vision Transformer for Product Matching. ICONIP (1) Lei Huang, Wei Shao, Fuzhou Wang, Weidun Xie, Ka-Chun Wong
2021	J	`jnl`	Multiobjective Genome-Wide RNA-Binding Event Identification From CLIP-Seq Data. IEEE Trans. Cybern. Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
2021	J	`jnl`	Nature-Inspired Compressed Sensing for Transcriptomic Profiling From Random Composite Measurements. IEEE Trans. Cybern. Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
2021	J	`jnl`	RNCE: network integration with reciprocal neighbors contextual encoding for multi-modal drug community study on cancer targets. Briefings Bioinform. Junyi Chen, Ka-Chun Wong
2021	J	`jnl`	Transmission trend of the COVID-19 pandemic predicted by dendritic neural regression. Appl. Soft Comput. Minhui Dong, Cheng Tang, Junkai Ji, Qiuzhen Lin, Ka-Chun Wong
2021	J	`jnl`	iCircRBP-DHN: identification of circRNA-RBP interaction sites using deep hierarchical network. Briefings Bioinform. Yuning Yang, Zilong Hou, Zhiqiang Ma, Xiangtao Li, Ka-Chun Wong
2021	J	`jnl`	iDeepSubMito: identification of protein submitochondrial localization with deep learning. Briefings Bioinform. Zilong Hou, Yuning Yang, Hui Li, Ka-Chun Wong, Xiangtao Li
2020	J	`jnl`	Context awareness and embedding for biomedical event extraction. Bioinform. Shankai Yan, Ka-Chun Wong
2020	J	`jnl`	Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors. IEEE ACM Trans. Comput. Biol. Bioinform. Ka-Chun Wong, Shankai Yan, Qiuzhen Lin, Xiangtao Li, Chengbin Peng
2020	J	`jnl`	EDITORIAL: Special Issue of 2018 India International Congress on Computational Intelligence. Neural Comput. Appl. Suash Deb, Ka-Chun Wong, Xin-She Yang
2020	J	`jnl`	GESgnExt: Gene Expression Signature Extraction and Meta-Analysis on Gene Expression Omnibus. IEEE J. Biomed. Health Informatics Shankai Yan, Ka-Chun Wong
2020	J	`jnl`	Nature-Inspired Multiobjective Epistasis Elucidation from Genome-Wide Association Studies. IEEE ACM Trans. Comput. Biol. Bioinform. Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
2020	J	`jnl`	Nature-inspired multiobjective patient stratification from cancer gene expression data. Inf. Sci. Yunhe Wang, Zhiqiang Ma, Ka-Chun Wong, Xiangtao Li
2020	J	`jnl`	Review of Single-cell RNA-seq Data Clustering for Cell Type Identification and Characterization. CoRR Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
2020	J	`jnl`	Single-Cell RNA Sequencing Data Interpretation by Evolutionary Multiobjective Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Xiangtao Li, Ka-Chun Wong
2020	J	`jnl`	Special issue of 2017 India International Congress on Computational Intelligence. Neural Comput. Appl. Suash Deb, Ka-Chun Wong, Thomas Hanne
2020	J	`jnl`	Verbal aggression detection on Twitter comments: convolutional neural network for short-text sentiment analysis. Neural Comput. Appl. Junyi Chen, Shankai Yan, Ka-Chun Wong
2019	J	`jnl`	A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Jianyong Chen, Jun Zhang
2019	J	`jnl`	A novel multi-objective evolutionary algorithm with dynamic decomposition strategy. Swarm Evol. Comput. Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Lijia Ma, Carlos A. Coello Coello, Dunwei Gong
2019	J	`jnl`	An Effective Ensemble Framework for Multiobjective Optimization. IEEE Trans. Evol. Comput. Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen
2019	J	`jnl`	Context awareness and embedding for biomedical event extraction. CoRR Shankai Yan, Ka-Chun Wong
2019	J	`jnl`	DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools. ACM Comput. Surv. Ka-Chun Wong, Jiao Zhang, Shankai Yan, Xiangtao Li, Qiuzhen Lin, Sam Kwong, Cheng Liang
2019	J	`jnl`	Elucidating Genome-Wide Protein-RNA Interactions Using Differential Evolution. IEEE ACM Trans. Comput. Biol. Bioinform. Xiangtao Li, Ka-Chun Wong
2019	J	`jnl`	Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification. IEEE Trans. Cybern. Xiangtao Li, Ka-Chun Wong
2019	J	`jnl`	PathEmb: Random Walk Based Document Embedding for Global Pathway Similarity Search. IEEE J. Biomed. Health Informatics Jiao Zhang, Sam Kwong, Guangming Liu, Qiuzhen Lin, Ka-Chun Wong
2019	J	`jnl`	Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning. Bioinform. Xiangtao Li, Shixiong Zhang, Ka-Chun Wong
2019	J	`jnl`	Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications. Bioinform. Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong
2019	J	`jnl`	ToBio: Global Pathway Similarity Search Based on Topological and Biological Features. IEEE ACM Trans. Comput. Biol. Bioinform. Jiao Zhang, Sam Kwong, Ka-Chun Wong
2018	J	`jnl`	A Comparative Study for Identifying the Chromosome-Wide Spatial Clusters from High-Throughput Chromatin Conformation Capture Data. IEEE ACM Trans. Comput. Biol. Bioinform. Xiangtao Li, Ka-Chun Wong
2018	J	`jnl`	A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. Qiuzhen Lin, Genmiao Jin, Yueping Ma, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang
2018	J	`jnl`	A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2018	J	`jnl`	Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism. Inf. Sci. Laizhong Cui, Genghui Li, Zexuan Zhu, Qiuzhen Lin, Ka-Chun Wong, Jianyong Chen, Nan Lu, Jian Lu
2018	J	`jnl`	An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies. Inf. Sci. Qiuzhen Lin, Yueping Ma, Jianyong Chen, Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong, Fei Chen
2018	J	`jnl`	Big Data Challenges in Genome Informatics. CoRR Ka-Chun Wong
2018	J	`jnl`	Impact Analysis of Temperature and Humidity Conditions on Electrochemical Sensor Response in Ambient Air Quality Monitoring. Sensors Peng Wei, Zhi Ning, Sheng Ye, Li Sun, Fenhuan Yang, Ka-Chun Wong, Dane Westerdahl, Peter K. K. Louie
2018	J	`jnl`	Multiobjective Patient Stratification Using Evolutionary Multiobjective Optimization. IEEE J. Biomed. Health Informatics Xiangtao Li, Ka-Chun Wong
2018	J	`jnl`	Off-target predictions in CRISPR-Cas9 gene editing using deep learning. Bioinform. Jiecong Lin, Ka-Chun Wong
2018	J	`jnl`	Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. Qiuzhen Lin, Songbai Liu, Qingling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong, Jun Zhang
2018	J	`jnl`	Special issue: the International Conference on Soft Computing and Machine Intelligence. Soft Comput. Suash Deb, Thomas Hanne, Ka-Chun Wong
2017	J	`jnl`	A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization. Inf. Sci. Laizhong Cui, Genghui Li, Zexuan Zhu, Qiuzhen Lin, Zhenkun Wen, Nan Lu, Ka-Chun Wong, Jianyong Chen
2017	J	`jnl`	A scalable community detection algorithm for large graphs using stochastic block models. Intell. Data Anal. Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2017	J	`jnl`	An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm. IEEE Trans. Cybern. Qingling Zhu, Qiuzhen Lin, Wei-Neng Chen, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang
2017	J	`jnl`	Elucidating high-dimensional cancer hallmark annotation via enriched ontology. J. Biomed. Informatics Shankai Yan, Ka-Chun Wong
2017	J	`jnl`	Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data. IEEE Trans. Cybern. Ka-Chun Wong, Chengbin Peng, Yue Li
2017	J	`jnl`	MotifHyades: expectation maximization for de novo DNA motif pair discovery on paired sequences. Bioinform. Ka-Chun Wong
2017	J	`jnl`	NSSRF: global network similarity search with subgraph signatures and its applications. Bioinform. Jiao Zhang, Sam Kwong, Yuheng Jia, Ka-Chun Wong
2016	J	`jnl`	A Comparison Study for DNA Motif Modeling on Protein Binding Microarray. IEEE ACM Trans. Comput. Biol. Bioinform. Ka-Chun Wong, Yue Li, Chengbin Peng, Hau-San Wong
2016	B	`conf`	A cone order sequence based multi-objective evolutionary algorithm. CEC Yueming Lyu, Qingfu Zhang, Ka-Chun Wong
2016	J	`jnl`	Development and Application of a Next Generation Air Sensor Network for the Hong Kong Marathon 2015 Air Quality Monitoring. Sensors 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
2016	J	`jnl`	Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells. Bioinform. Ka-Chun Wong, Yue Li, Chengbin Peng
2015	A*	`conf`	A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. IJCAI Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David E. Keyes
2015	J	`jnl`	A Short Survey on Data Clustering Algorithms. CoRR Ka-Chun Wong
2015	B	`conf`	Active Learning Based on Single-Hidden Layer Feed-Forward Neural Network. SMC Ran Wang, Sam Kwong, Qingshan Jiang, Ka-Chun Wong
2015	—	`—`	Computational Methods for Learning and Predicting the DNA binding Specificities of Transcription Factors. Ka-Chun Wong
2015	B	`conf`	Data Analytics for Protein-DNA Binding Interactions. SMC Ka-Chun Wong
2015	J	`jnl`	Evolutionary Algorithms: Concepts, Designs, and Applications in Bioinformatics: Evolutionary Algorithms for Bioinformatics. CoRR Ka-Chun Wong
2015	J	`jnl`	Evolutionary Multimodal Optimization: A Short Survey. CoRR Ka-Chun Wong
2015	J	`jnl`	Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites. IEEE ACM Trans. Comput. Biol. Bioinform. Ka-Chun Wong, Chengbin Peng, Yue Li
2015	J	`jnl`	SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles. Bioinform. Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang
2014	J	`jnl`	A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information. Bioinform. Yue Li, Anna Goldenberg, Ka-Chun Wong, Zhaolei Zhang
2014	—	`conf`	Exploring Mixed Membership Stochastic Block Models via Non-negative Matrix Factorization. ICDM Workshops Chengbin Peng, Ka-Chun Wong
2014	J	`jnl`	Herd Clustering: A synergistic data clustering approach using collective intelligence. Appl. Soft Comput. Ka-Chun Wong, Chengbin Peng, Yue Li, Tak-Ming Chan
2014	J	`jnl`	Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinform. Yue Li, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang
2014	J	`jnl`	SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences. Bioinform. Ka-Chun Wong, Zhaolei Zhang
2012	J	`jnl`	A novel web-based system for tropical cyclone analysis and prediction. Int. J. Geogr. Inf. Sci. Yee Leung, Man Hon Wong, Ka-Chun Wong, Wei Zhang, Kwong-Sak Leung
2012	J	`jnl`	Evolutionary multimodal optimization using the principle of locality. Inf. Sci. Ka-Chun Wong, Chun-Ho Wu, Ricky K. P. Mok, Chengbin Peng, Zhaolei Zhang
2012	A*	`conf`	Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. ICDM Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes
2011	J	`jnl`	Discovering approximate-associated sequence patterns for protein-DNA interactions. Bioinform. Tak-Ming Chan, Ka-Chun Wong, Kin-Hong Lee, Man Hon Wong, Chi-Kong Lau, Stephen Kwok-Wing Tsui, Kwong-Sak Leung
2011	J	`jnl`	Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm. Soft Comput. Ka-Chun Wong, Chengbin Peng, Man Hon Wong, Kwong-Sak Leung
2010	—	`conf`	Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization. EvoApplications (1) Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong
2010	A	`conf`	Protein structure prediction on a lattice model via multimodal optimization techniques. GECCO Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong
2009	A	`conf`	An evolutionary algorithm with species-specific explosion for multimodal optimization. GECCO Ka-Chun Wong, Kwong-Sak Leung, Man Hon Wong