Chun-Hou Zheng 0001 - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 92 from 92

2026

Drug combination prediction for parasitic diseases through information-augmented hypergraph neural networkLei Li, Hongyu Zhang, Meng Mi, Haitao Li 0004, Guodong Lü, Chun-Hou Zheng 0001, Yansen Su. fgcs, 174:107913, 2026. [doi]

2025

2024

scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learningLin Yuan 0001, Shengguo Sun, Yufeng Jiang, Qinhu Zhang, Lan Ye, Chun-Hou Zheng 0001, De-Shuang Huang. bib, 26(1), 2024. [doi]

A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type IdentificationJuan Wang 0003, Tian-Jing Qiao, Chun-Hou Zheng 0001, Jin-Xing Liu 0001, Junliang Shang. tcbb, 21(6):2292-2303, November - December 2024. [doi]

A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank RepresentationJuan Wang 0003, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng 0001, Jin-Xing Liu, Junliang Shang. tcbb, 21(3):360-371, May - June 2024. [doi]

Class-Imbalanced Graph Convolution Smoothing for Hyperspectral Image ClassificationYun Ding, Yanwen Chong, ShaoMing Pan, Chun-Hou Zheng 0001. tgrs, 62:1-18, 2024. [doi]

Exploring Positional Distributions of Labeled Superpixels Within Graph Convolutional Networks for Hyperspectral ImageYun Ding, Mingyang Hou, Yao Ding 0010, Chun-Hou Zheng 0001, Qing Yan, De-Shuang Huang. tgrs, 62:1-15, 2024. [doi]

Integrating Local and Global Information to Decipher Spatial Domains of Spatial Transcriptomics by Attention-based Graph Convolutional NetworkXu-Ran Dou, Yue Gao, Junliang Shang, Chun-Hou Zheng 0001, Ying-Lian Gao, Jin-Xing Liu 0001. bibm 2024: 503-508 [doi]

A review of recent advances in spatially resolved transcriptomics data analysisYue Gao, Ying-Lian Gao, Jing Jing, Feng Li 0033, Chun-Hou Zheng 0001, Jin-Xing Liu 0001. ijon, 603:128283, 2024. [doi]

SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association PredictionCunmei Ji, Ning Yu, Yu-Tian Wang, Jiancheng Ni 0001, Chun-Hou Zheng 0001. tcbb, 21(5):1191-1201, September - October 2024. [doi]

Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association PredictionCui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng 0001, Jin-Xing Liu, Ying-Lian Gao. titb, 28(2):1110-1121, February 2024. [doi]

stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial TranscriptomicsJing Jing, Ying-Lian Gao, Yue Gao, Dao-Hui Ge, Chun-Hou Zheng 0001, Jin-Xing Liu 0001. icic 2024: 321-331 [doi]

MHCLSyn: Multi-View Hypergraph Contrastive Learning for Synergistic Drug Combination PredictionLei Li, Guodong Lü, Chun-Hou Zheng 0001, Renyong Lin, Yansen Su. bigdatama, 7(4):1273-1286, 2024. [doi]

MDNNSyn: A Multi-Modal Deep Learning Framework for Drug Synergy PredictionLei Li, Haitao Li 0004, Tseren-Onolt Ishdorj, Chun-Hou Zheng 0001, Yansen Su. titb, 28(10):6225-6236, October 2024. [doi]

Enhancing Spatial Domain Identification in Spatially Resolved Transcriptomics Using Graph Convolutional Networks With Adaptively Feature-Spatial Balance and Contrastive LearningXuena Liang, Junliang Shang, Jin-Xing Liu 0001, Chun-Hou Zheng 0001, Juan Wang 0003. tcbb, 21(6):2406-2417, November - December 2024. [doi]

UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling techniqueYanhong Liao, Shouzhi Chen, Yannan Bin, Jianping Zhao 0001, Xinlong Feng, Chun-Hou Zheng 0001. cmpb, 250:108176, 2024. [doi]

SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associationsBao-Min Liu, Ying-Lian Gao, Feng Li, Chun-Hou Zheng 0001, Jin-Xing Liu. kbs, 283:111187, January 2024. [doi]

A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image SegmentationDayu Tan, Rui Hao, Xiaoping Zhou, Junfeng Xia, Yansen Su, Chun-Hou Zheng 0001. titb, 28(9):5396-5409, September 2024. [doi]

An Effective Semantic Segmentation Network With Multipath Attention for Industrial Meter Pointer ImagesDayu Tan, JinLong Wang, Yansen Su, Zhijun Zhang 0006, Xin Peng 0003, Chun-Hou Zheng 0001, Weimin Zhong. tii, 20(12):13537-13546, December 2024. [doi]

scVSC: Deep Variational Subspace Clustering for Single-Cell Transcriptome DataZile Wang, Hai-Yun Wang, Jianping Zhao 0001, Junfeng Xia, Chun-Hou Zheng 0001. tcbb, 21(5):1492-1503, September - October 2024. [doi]

Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging GeneticsShuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng 0001, Jin-Xing Liu 0001. isbra 2024: 418-426 [doi]

A Retrieval-Based Molecular Style Transformation Optimization ModelCheng Wang, Ya-Jie Zhang, Xin Xia, Yan-Sen Su, Chun-Hou Zheng 0001, Qing-Wen Wu. icic 2024: 195-206 [doi]

MEFFGRN: Matrix enhancement and feature fusion-based method for reconstructing the gene regulatory network of epithelioma papulosum cyprini cells by spring viremia of carp virus infectionPi-Jing Wei, Jin-Jin Bao, Zhen Gao, Jing-Yun Tan, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng 0001, Li Deng. cbm, 179:108835, 2024. [doi]

Inference of gene regulatory networks based on directed graph convolutional networksPi-Jing Wei, Ziqiang Guo, Zhen Gao, Zheng-ding, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng 0001. bib, 25(4), 2024. [doi]

Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal DataTian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-li Wang, Chun-Hou Zheng 0001, Jin-Xing Liu 0001. titb, 28(6):3513-3522, June 2024. [doi]

Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide ImagesRui Yan, Zhilong Lv, Zhidong Yang, Senlin Lin, Chun-Hou Zheng 0001, Fa Zhang 0001. titb, 28(1):7-18, January 2024. [doi]

Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancerLin Yuan, Shengguo Sun, Qinhu Zhang, Hai-tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng 0001, De-Shuang Huang. fgcs, 159:204-220, 2024. [doi]

scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic dataLin Yuan, Ling Zhao, Yufeng Jiang, Zhen Shen, Qinhu Zhang, Ming Zhang, Chun-Hou Zheng 0001, De-Shuang Huang. bib, 25(6), 2024. [doi]

A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type DetectionDai-Jun Zhang, Ying-Lian Gao, Jing-Xiu Zhao, Chun-Hou Zheng 0001, Jin-Xing Liu. tnn, 35(2):2473-2483, February 2024. [doi]

2023

An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype DiscoveryQingqing Cao, Jianping Zhao 0001, Hai-Yun Wang, Qi Guan, Chun-Hou Zheng 0001. tcbb, 20(6):3499-3510, November - December 2023. [doi]

FFMAVP: a new classifier based on feature fusion and multitask learning for identifying antiviral peptides and their subclassesRuifen Cao, Weiling Hu, Pi-Jing Wei, Yun Ding, Yannan Bin, Chun-Hou Zheng 0001. bib, 24(6), September 2023. [doi]

A Hybrid Tourism Recommendation System Based on Multi-objective Evolutionary Algorithm and Re-rankingRuifen Cao, Zijue Li, Pi-Jing Wei, Ye Tian 0009, Chun-Hou Zheng 0001. icic 2023: 363-372 [doi]

PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature RepresentationShouzhi Chen, Yanhong Liao, Jianping Zhao 0001, Yannan Bin, Chun-Hou Zheng 0001. tcbb, 20(5):3106-3116, September - October 2023. [doi]

A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression DataHe-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng 0001, Han Zhang. tcbb, 20(5):2802-2809, September - October 2023. [doi]

Diversity-Connected Graph Convolutional Network for Hyperspectral Image ClassificationYun Ding, Yanwen Chong, ShaoMing Pan, Chun-Hou Zheng 0001. tgrs, 61:1-18, 2023. [doi]

CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression DataZhen Gao, Jin Tang 0001, Junfeng Xia, Chun-Hou Zheng 0001, Pi-Jing Wei. tcbb, 20(5):2853-2861, September - October 2023. [doi]

An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data AnalysisCunmei Ji, Ning Yu, Yu-Tian Wang, Rong Qi, Chun-Hou Zheng 0001. tcbb, 20(6):3889-3900, November - December 2023. [doi]

GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention NetworkWen-Yue Kang, Chun-Hou Zheng 0001, Ying-Lian Gao, Juan Wang 0003, Junliang Shang, Jin-Xing Liu 0001. bibm 2023: 233-236 [doi]

Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease AssociationZhi-hao Liu, Cunmei Ji, Jian-Cheng Ni, Yu-Tian Wang, Li-Juan Qiao, Chun-Hou Zheng 0001. tcbb, 20(1):277-284, January - February 2023. [doi]

MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated MicrobesJin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng 0001. tcbb, 20(1):534-543, January - February 2023. [doi]

Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq DataJin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng 0001, Ying-Lian Gao. tcbb, 20(6):3737-3747, November - December 2023. [doi]

Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix FactorizationLi-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-hao Liu, Chun-Hou Zheng 0001, Yu-Tian Wang. tcbb, 20(5):3154-3162, September - October 2023. [doi]

A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data AnalysisTian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng 0001, Juan Wang 0003. titb, 27(5):2575-2584, May 2023. [doi]

Denoising adaptive deep clustering with self-attention mechanism on single-cell sequencing dataYansen Su, Rongxin Lin, Jing Wang, Dayu Tan, Chun-Hou Zheng 0001. bib, 24(2), March 2023. [doi]

scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data AnalysisSheng-Wen Tian, Jiancheng Ni 0001, Yu-Tian Wang, Chun-Hou Zheng 0001, Cunmei Ji. titb, 27(12):6133-6143, December 2023. [doi]

scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq dataHai-Yun Wang, Jian-ping Zhao 0001, Chun-Hou Zheng 0001, Yan-Sen Su. bib, 24(1), January 2023. [doi]

frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human GenomeHuadong Wang, Jianhui Sun, Mengya Liu, Chun-Hou Zheng 0001, Junfeng Xia, Na Cheng. tcbb, 20(1):371-377, January - February 2023. [doi]

ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph RegularizationZhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng 0001, Juan Wang. jcb, 30(8):848-860, August 2023. [doi]

scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder networkJing Wang, Junfeng Xia, Haiyun Wang, Yansen Su, Chun-Hou Zheng 0001. bib, 24(1), January 2023. [doi]

Deleterious synonymous mutation identification based on selective ensemble strategyLihua Wang, Tao Zhang, Lihong Yu, Chun-Hou Zheng 0001, Wenguang Yin, Junfeng Xia, Tiejun Zhang. bib, 24(1), January 2023. [doi]

Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping AlgorithmPi-Jing Wei, Shu-Li Zhou, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng 0001. icic 2023: 77-86 [doi]

LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on CorrentropyWen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng 0001. tcbb, 20(3):1774-1782, 2023. [doi]

Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides PredictionJiliang Xu, Chungui Xu, Ruifen Cao, Yonghui He, Yannan Bin, Chun-Hou Zheng 0001. icic 2023: 67-76 [doi]

NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related MicrobesMeng-Meng Yin, Ying-Lian Gao, Chun-Hou Zheng 0001, Jin-Xing Liu. titb, 27(3):1644-1653, March 2023. [doi]

Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel LearningFeng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng 0001, Jin-Xing Liu. tnn, 34(9):5570-5579, September 2023. [doi]

2022

An Ensemble Framework for Improving the Prediction of Deleterious Synonymous MutationNa Cheng, Huadong Wang, Xi Tang, Tao Zhang, Jie Gui, Chun-Hou Zheng 0001, Junfeng Xia. tcsv, 32(5):2603-2611, 2022. [doi]

Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene SelectionYing-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng 0001, Juan Wang 0003. tcbb, 19(4):2420-2430, 2022. [doi]

A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAsZhen Gao, Yu-Tian Wang, Qing-Wen Wu, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng 0001. tcbb, 19(2):763-772, 2022. [doi]

Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank RepresentationCui-Na Jiao, Jin-Xing Liu, Juan Wang 0003, Junliang Shang, Chun-Hou Zheng 0001. titb, 26(4):1872-1882, 2022. [doi]

Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk FactorsCui-Na Jiao, Chun-Hou Zheng 0001, Jin-Xing Liu, Feng Li. bibm 2022: 1034-1039 [doi]

An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classificationZhi-yuan Li, Ying-Lian Gao, Zhen-Xin Niu, Sha-Sha Yuan, Chun-Hou Zheng 0001, Jin-Xing Liu. bibm 2022: 2088-2094 [doi]

Predicting miRNA-Disease Association Based on Improved Graph RegressionLei Li, Zhen Gao, Chun-Hou Zheng 0001, Rong Qi, Yu-Tian Wang, Jian-Cheng Ni. tcbb, 19(6):3604-3613, 2022. [doi]

iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning frameworkMeng Liao, Jianping Zhao, Jing Tian, Chun-Hou Zheng 0001. bmcbi, 23(1):480, 2022. [doi]

A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanismBao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang 0003, Chun-Hou Zheng 0001, Jin-Xing Liu. bib, 23(6), 2022. [doi]

Cell Classification Based on Stacked Autoencoder for Single-Cell RNA SequencingRong Qi, Chun-Hou Zheng 0001, Cunmei Ji, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang. icic 2022: 245-259 [doi]

scCDG: A Method Based on DAE and GCN for scRNA-Seq Data AnalysisHai-Yun Wang, Jian-ping Zhao 0001, Yan-Sen Su, Chun-Hou Zheng 0001. tcbb, 19(6):3685-3694, 2022. [doi]

scCNC: a method based on capsule network for clustering scRNA-seq dataHai-Yun Wang, Jianping Zhao, Chun-Hou Zheng 0001, Yan-Sen Su. bioinformatics, 38(15):3703-3709, 2022. [doi]

ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data ClusteringZhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng 0001, Juan Wang 0003. isbra 2022: 126-137 [doi]

Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble FrameworkChuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Chun-Hou Zheng 0001. tcbb, 19(2):1154-1164, 2022. [doi]

Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix FactorizationChuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng 0001. titb, 26(1):458-467, 2022. [doi]

scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computationJing Wang, Junfeng Xia, Dayu Tan, Rongxin Lin, Yansen Su, Chun-Hou Zheng 0001. bib, 23(2), 2022. [doi]

Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseasesMeng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng 0001, Jin-Xing Liu. fgcs, 134:247-255, 2022. [doi]

NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label PropagationMeng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng 0001. tcyb, 52(6):5079-5087, 2022. [doi]

SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization ConstraintsNa-Na Zhang, Jin-Xing Liu, Chun-Hou Zheng 0001, Juan Wang 0003. titb, 26(7):3556-3566, 2022. [doi]

2021

MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label PropagationYing-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng 0001. isbra 2021: 3-10 [doi]

Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing CorrentropyCui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng 0001, Xianzi Yu. bibm 2021: 418-423 [doi]

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoderLei Li, Yu-Tian Wang, Cunmei Ji, Chun-Hou Zheng 0001, Jian-Cheng Ni, Yan-Sen Su. ploscb, 17(12), 2021. [doi]

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorizationLei Li, Zhen Gao, Yu-Tian Wang, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng 0001, Yansen Su. ploscb, 17(7), 2021. [doi]

Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for ClassificationLiang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng 0001. kbs, 227:107226, 2021. [doi]

Identification of driver genes based on gene mutational effects and network centralityYun-Yun Tang, Pi-Jing Wei, Jianping Zhao, Junfeng Xia, Rui-Fen Cao, Chun-Hou Zheng 0001. bmcbi, 22-S(3):457, 2021. [doi]

Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network AnalysisWenyan Wang, Yuming Zhou, Mu Tian Cheng, Yan Wang, Chun-Hou Zheng 0001, Yan Xiong, Peng Chen 0001, Zhiwei Ji, Bing Wang 0004. tcbb, 18(3):1026-1034, 2021. [doi]

GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forestQing-Wen Wu, Jun-Feng Xia, Jian-Cheng Ni, Chun-Hou Zheng 0001. bib, 22(5), 2021. [doi]

Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated DataNa Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng 0001, Yong Xu 0001. tcyb, 51(8):3952-3963, 2021. [doi]

Double matrix completion for circRNA-disease association predictionZong-Lan Zuo, Rui-Fen Cao, Pi-Jing Wei, Jun-Feng Xia, Chun-Hou Zheng 0001. bmcbi, 22(1):307, 2021. [doi]

2020

Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples ClassificationLiang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng 0001. icic 2020: 537-545 [doi]

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classificationLiang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng 0001. bmcbi, 21(1):445, 2020. [doi]

Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying EpistasisYingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng 0001, Xiujuan Lei. tcbb, 17(4):1253-1261, 2020. [doi]

Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics DataMing-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng 0001, Juan Wang 0003. titb, 24(6):1823-1834, 2020. [doi]

2005

Blind inversion of Wiener system for single source using nonlinear blind source separationZhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng 0001, Li Shang. ijcnn 2005: 1235-1238 [doi]

See Also

All Publications

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'Chun-Hou Zheng 0001'

Viewing Publication 1 - 92 from 92

2026

2025

2024

2023

2022

2021

2020

2005

See Also

All Publications

Filter by YearOR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by Tag

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'Chun-Hou Zheng 0001'

Viewing Publication 1 - 92 from 92

2026

2025

2024

2023

2022

2021

2020

2005

Filter by Year
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1