Chun-Hou Zheng

255 papers B 2Journal 161Unranked 92
YearRankTypeTitle / Venue / Authors
2026 J jnl
DMDGRN: A data augmentation-based multilayer directed graph convolutional network for gene regulatory network inference.
J. Biomed. Informatics
Pi-Jing Wei, Mingzhu Sun, Zheng Ding, Rui-Fen Cao, Zhen Gao, Chun-Hou Zheng
2026 J jnl
Drug combination prediction for parasitic diseases through information-augmented hypergraph neural network.
Future Gener. Comput. Syst.
Lei Li, Hongyu Zhang, Meng Mi, Haitao Li, Guodong Lü, Chun-Hou Zheng, Yansen Su
2026 J jnl
MLRR-ATV: A Robust Manifold Nonnegative Low-Rank Representation With Adaptive Total-Variation Regularization for scRNA-seq Data Clustering.
IEEE Trans. Comput. Biol. Bioinform.
Gao-Fei Wang, Juan Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu
2026 J jnl
Text-guided and Edge-guided fusion network for enhancing medical image segmentation.
Appl. Soft Comput.
Zhiyong Tan, Ruifen Cao, Pi-Jing Wei, Chao Zhou, Yansen Su, Chun-Hou Zheng
2026 J jnl
scSCCNIA: similarity matrix based contrastive clustering with neighbor information aggregation for single-cell RNA sequencing data.
Briefings Bioinform.
Jing Wang, Junfeng Xia, Yansen Su, Chun-Hou Zheng
2025 — conf
A Latent Diffusion Model for Molecular Optimization.
ICIC (28)
Dayu Tan, Pengyuan Xu, Xin Xia, Yajie Zhang, Chun-Hou Zheng, Yansen Su
2025 — conf
A Scalable and Unified Hierarchical Coarsening Hypergraph Framework for Single-Cell Multi-Omics Data Analysis.
BIBM
Ke-Ze Yu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang
2025 — conf
An Adaptive Multi-view Feature Fusion Framework Based on Multiple Graphs for Predicting Drug-Drug Interactions.
ICIC (26)
Fei Wang, Zefan Cheng, Xiujuan Lei, Fang-Xiang Wu, Chun-Hou Zheng, Yansen Su
2025 J jnl
An Enhanced Pyramid Feature Network Based on Long-Range Dependencies for Multi-Organ Medical Image Segmentation.
CoRR
Dayu Tan, Cheng Kong, Yansen Su, Hai Chen, Dongliang Yang, Junfeng Xia, Chun-Hou Zheng
2025 J jnl
AttentionGRN: a functional and directed graph transformer for gene regulatory network reconstruction from scRNA-seq data.
Briefings Bioinform.
Zhen Gao, Yansen Su, Jin Tang, Huaiwan Jin, Yun Ding, Rui-Fen Cao, Pi-Jing Wei, Chun-Hou Zheng
2025 J jnl
CASynergy: A causal attention model for interpretable prediction of cancer drug synergy.
PLoS Comput. Biol.
Haitao Li, Long Zheng, Lei Li, Yiwei Chen, Junjie Li, Chun-Hou Zheng, Yansen Su
2025 J jnl
CMOMO: a deep multi-objective optimization framework for constrained molecular multi-property optimization.
Briefings Bioinform.
Xin Xia, Yajie Zhang, Xiangxiang Zeng, Xing-yi Zhang, Chun-Hou Zheng, Yansen Su
2025 J jnl
FRSynergy: A Feature Refinement Network for Synergistic Drug Combination Prediction.
IEEE J. Biomed. Health Informatics
Lei Li, Haitao Li, Chun-Hou Zheng, Yansen Su
2025 J jnl
GAEDGRN: reconstruction of gene regulatory networks based on gravity-inspired graph autoencoders.
Briefings Bioinform.
Pi-Jing Wei, Huaiwan Jin, Zhen Gao, Yansen Su, Chun-Hou Zheng
2025 J jnl
HiPerformer: A High-Performance Global-Local Segmentation Model with Modular Hierarchical Fusion Strategy.
CoRR
Dayu Tan, Zhenpeng Xu, Yansen Su, Xin Peng, Chun-Hou Zheng, Weimin Zhong
2025 J jnl
Hyperspectral Image Classification Based on Subgraph-Dependent Neural Network.
IEEE Trans. Geosci. Remote. Sens.
Yun Ding, Chao Li, Fulin Luo, Chun-Hou Zheng
2025 — conf
Low-Rank Multiple Kernel Model Based on Local Structures Learning and Adaptive Similarity Preserving for scRNA-seq Data Clustering.
ICIC (25)
Juan Wang, Tian-Jing Qiao, Zhenduo Zhang, Chun-Hou Zheng, Shasha Yuan
2025 J jnl
MLGCN-Driver: a cancer driver gene identification method based on multi-layer graph convolutional neural network.
BMC Bioinform.
Pi-Jing Wei, Jingxin Zhou, Rui-Fen Cao, Yun Ding, Zhenyu Yue, Chun-Hou Zheng
2025 J jnl
MSD-KMamba: Bidirectional Spatial-Aware Multi-Modal 3D Brain Segmentation via Multi-scale Self-Distilled Fusion Strategy.
CoRR
Dayu Tan, Ziwei Zhang, Yansen Su, Xin Peng, Yike Dai, Chun-Hou Zheng, Weimin Zhong
2025 J jnl
Multi-view clustering for single-cell RNA-seq data based on graph fusion.
Briefings Bioinform.
Jing Wang, Junfeng Xia, Dayu Tan, Yunjie Ma, Yansen Su, Chun-Hou Zheng
2025 J jnl
PGCLODA: Prompt-Guided Graph Contrastive Learning for Oligopeptide-Infectious Disease Association Prediction.
CoRR
Dayu Tan, Jing Chen, Xiaoping Zhou, Yansen Su, Chun-Hou Zheng
2025 — conf
PISynergy: A Triplet Interaction and Causal Interpretation Framework for Drug Synergy Prediction.
ICIC (27)
Haitao Li, Long Zheng, Yiwei Chen, Junjie Li, Chun-Hou Zheng, Junjie Wang, Yansen Su
2025 J jnl
PMMNet: A Dual Branch Fusion Network of Point Cloud and Multi-View for Intracranial Aneurysm Classification and Segmentation.
IEEE J. Biomed. Health Informatics
Ruifen Cao, Dongwei Zhang, Pi-Jing Wei, Yun Ding, Chun-Hou Zheng, Dayu Tan, Chao Zhou
2025 J jnl
SpaMGAN: Multi-view graph augmentation network for spatial domain identification in spatial transcriptomics.
Knowl. Based Syst.
Hao Liu, Yue Gao, Cui-Na Jiao, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Yan-Li Wang
2025 — conf
Spatial-Spectral Topological Graphmamba for Hyperspectral Image Classification.
ICIC (3)
Mingyang Hou, Chun-Hou Zheng, Yun Ding, Qing Yan
2025 J jnl
TEMCL: Prediction of Drug-Disease Associations Based on Transformer and Enhanced Multi-View Contrastive Learning.
IEEE J. Biomed. Health Informatics
Ming-Li Cui, Cui-Na Jiao, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu
2025 — conf
scMGCC: A Self-supervised Multi-level Graph Contrastive Learning Method for scRNA-seq Data Clustering.
ICIC (25)
Yutian Wang, Chuanxin Liu, Ke Gao, Cunmei Ji, Chun-Hou Zheng
2025 J jnl
scRGCL: a cell type annotation method for single-cell RNA-seq data using residual graph convolutional neural network with contrastive learning.
Briefings Bioinform.
Lin Yuan, Shengguo Sun, Yufeng Jiang, Qinhu Zhang, Lan Ye, Chun-Hou Zheng, De-Shuang Huang
2025 J jnl
scSDNE: A semi-supervised method for inferring cell-cell interactions based on graph embedding.
PLoS Comput. Biol.
Chenchen Jia, Haiyun Wang, Jianping Zhao, Junfeng Xia, Chun-Hou Zheng
2024 J jnl
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
2024 J jnl
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection.
IEEE Trans. Neural Networks Learn. Syst.
Dai-Jun Zhang, Ying-Lian Gao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu
2024 J jnl
A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type Identification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Juan Wang, Tian-Jing Qiao, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
2024 J jnl
A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Dayu Tan, Rui Hao, Xiaoping Zhou, Junfeng Xia, Yansen Su, Chun-Hou Zheng
2024 — conf
A Retrieval-Based Molecular Style Transformation Optimization Model.
ICIC (LNBI 1)
Cheng Wang, Ya-Jie Zhang, Xin Xia, Yan-Sen Su, Chun-Hou Zheng, Qing-Wen Wu
2024 J jnl
A deep multi-branch attention model for histopathological breast cancer image classification.
Complex Intell. Syst.
Rui Ding, Xiaoping Zhou, Dayu Tan, Yansen Su, Chao Jiang, Guo Yu, Chun-Hou Zheng
2024 J jnl
A review of recent advances in spatially resolved transcriptomics data analysis.
Neurocomputing
Yue Gao, Ying-Lian Gao, Jing Jing, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
2024 J jnl
AMGDTI: drug-target interaction prediction based on adaptive meta-graph learning in heterogeneous network.
Briefings Bioinform.
Yansen Su, Zhiyang Hu, Fei Wang, Yannan Bin, Chun-Hou Zheng, Haitao Li, Haowen Chen, Xiangxiang Zeng
2024 J jnl
An Effective Semantic Segmentation Network With Multipath Attention for Industrial Meter Pointer Images.
IEEE Trans. Ind. Informatics
Dayu Tan, Jinlong Wang, Yansen Su, Zhijun Zhang, Xin Peng, Chun-Hou Zheng, Weimin Zhong
2024 J jnl
Balancing property optimization and constraint satisfaction for constrained multi-property molecular optimization.
CoRR
Xin Xia, Ya-Jie Zhang, Xiangxiang Zeng, Xingyi Zhang, Chun-Hou Zheng, Yansen Su
2024 J jnl
Class-Imbalanced Graph Convolution Smoothing for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yun Ding, Yanwen Chong, Shaoming Pan, Chun-Hou Zheng
2024 J jnl
DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder.
Frontiers Comput. Sci.
Pi-Jing Wei, Qianqian Wang, Zhen Gao, Ruifen Cao, Chun-Hou Zheng
2024 — conf
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics.
ISBRA (1)
Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng, Jin-Xing Liu
2024 J jnl
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data.
IEEE J. Biomed. Health Informatics
Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-Li Wang, Chun-Hou Zheng, Jin-Xing Liu
2024 J jnl
DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding.
Briefings Bioinform.
Zhen Gao, Yansen Su, Junfeng Xia, Rui-Fen Cao, Yun Ding, Chun-Hou Zheng, Pi-Jing Wei
2024 J jnl
Enhancing Spatial Domain Identification in Spatially Resolved Transcriptomics Using Graph Convolutional Networks With Adaptively Feature-Spatial Balance and Contrastive Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xuena Liang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2024 J jnl
Exploring Positional Distributions of Labeled Superpixels Within Graph Convolutional Networks for Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens.
Yun Ding, Mingyang Hou, Yao Ding, Chun-Hou Zheng, Qing Yan, De-Shuang Huang
2024 J jnl
Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction.
CoRR
Jin-Xing Liu, Wen-Yu Xi, Ling-Yun Dai, Chun-Hou Zheng, Ying-Lian Gao
2024 J jnl
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer.
Future Gener. Comput. Syst.
Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang
2024 J jnl
Inference of gene regulatory networks based on directed graph convolutional networks.
Briefings Bioinform.
Pi-Jing Wei, Ziqiang Guo, Zhen Gao, Zheng Ding, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng
2024 — conf
Integrating Local and Global Information to Decipher Spatial Domains of Spatial Transcriptomics by Attention-based Graph Convolutional Network.
BIBM
Xu-Ran Dou, Yue Gao, Junliang Shang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu
2024 J jnl
MDNNSyn: A Multi-Modal Deep Learning Framework for Drug Synergy Prediction.
IEEE J. Biomed. Health Informatics
Lei Li, Haitao Li, Tseren-Onolt Ishdorj, Chun-Hou Zheng, Yansen Su
2024 J jnl
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 infection.
Comput. Biol. Medicine
Pi-Jing Wei, Jin-Jin Bao, Zhen Gao, Jing-Yun Tan, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng, Li Deng
2024 J jnl
MHCLSyn: Multi-View Hypergraph Contrastive Learning for Synergistic Drug Combination Prediction.
Big Data Min. Anal.
Lei Li, Guodong Lü, Chun-Hou Zheng, Renyong Lin, Yansen Su
2024 J jnl
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics
Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao
2024 J jnl
Multi-scale Cascaded Large-Model for Whole-body ROI Segmentation.
CoRR
Rui Hao, Dayu Tan, Yansen Su, Chun-Hou Zheng
2024 J jnl
SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cunmei Ji, Ning Yu, Yu-Tian Wang, Jiancheng Ni, Chun-Hou Zheng
2024 J jnl
SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations.
Knowl. Based Syst.
Bao-Min Liu, Ying-Lian Gao, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
2024 J jnl
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images.
IEEE J. Biomed. Health Informatics
Rui Yan, Zhilong Lv, Zhidong Yang, Senlin Lin, Chun-Hou Zheng, Fa Zhang
2024 J jnl
UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling technique.
Comput. Methods Programs Biomed.
Yanhong Liao, Shouzhi Chen, Yannan Bin, Jianping Zhao, Xinlong Feng, Chun-Hou Zheng
2024 J jnl
iCRBP-LKHA: Large convolutional kernel and hybrid channel-spatial attention for identifying circRNA-RBP interaction sites.
PLoS Comput. Biol.
Lin Yuan, Ling Zhao, Jinling Lai, Yufeng Jiang, Qinhu Zhang, Zhen Shen, Chun-Hou Zheng, De-Shuang Huang
2024 J jnl
scMGATGRN: a multiview graph attention network-based method for inferring gene regulatory networks from single-cell transcriptomic data.
Briefings Bioinform.
Lin Yuan, Ling Zhao, Yufeng Jiang, Zhen Shen, Qinhu Zhang, Ming Zhang, Chun-Hou Zheng, De-Shuang Huang
2024 J jnl
scVSC: Deep Variational Subspace Clustering for Single-Cell Transcriptome Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zile Wang, Haiyun Wang, Jianping Zhao, Junfeng Xia, Chun-Hou Zheng
2024 — conf
stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics.
ICIC (LNBI 1)
Jing Jing, Ying-Lian Gao, Yue Gao, Dao-Hui Ge, Chun-Hou Zheng, Jin-Xing Liu
2023 — conf
A Hybrid Tourism Recommendation System Based on Multi-objective Evolutionary Algorithm and Re-ranking.
ICIC (5)
Ruifen Cao, Zijue Li, Pi-Jing Wei, Ye Tian, Chun-Hou Zheng
2023 J jnl
A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Han Zhang
2023 J jnl
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis.
IEEE J. Biomed. Health Informatics
Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang
2023 J jnl
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization.
J. Comput. Biol.
Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
2023 J jnl
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cunmei Ji, Ning Yu, Yu-Tian Wang, Rong Qi, Chun-Hou Zheng
2023 J jnl
An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype Discovery.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qingqing Cao, Jianping Zhao, Haiyun Wang, Qi Guan, Chun-Hou Zheng
2023 J jnl
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhen Gao, Jin Tang, Junfeng Xia, Chun-Hou Zheng, Pi-Jing Wei
2023 — conf
Collaborative Encoder for Accurate Inversion of Real Face Image.
ICIC (2)
YaTe Liu, Chun-Hou Zheng, Jun Zhang, Bing Wang, Peng Chen
2023 J jnl
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhi-Hao Liu, Cunmei Ji, Jian-Cheng Ni, Yu-Tian Wang, Li-Juan Qiao, Chun-Hou Zheng
2023 J jnl
Deleterious synonymous mutation identification based on selective ensemble strategy.
Briefings Bioinform.
Lihua Wang, Tao Zhang, Lihong Yu, Chun-Hou Zheng, Wenguang Yin, Junfeng Xia, Tiejun Zhang
2023 J jnl
Denoising adaptive deep clustering with self-attention mechanism on single-cell sequencing data.
Briefings Bioinform.
Yansen Su, Rongxin Lin, Jing Wang, Dayu Tan, Chun-Hou Zheng
2023 J jnl
Diversity-Connected Graph Convolutional Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Yun Ding, Yanwen Chong, Shaoming Pan, Chun-Hou Zheng
2023 J jnl
FFMAVP: a new classifier based on feature fusion and multitask learning for identifying antiviral peptides and their subclasses.
Briefings Bioinform.
Ruifen Cao, Weiling Hu, Pi-Jing Wei, Yun Ding, Yannan Bin, Chun-Hou Zheng
2023 — conf
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network.
BIBM
Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu
2023 — conf
Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Prediction.
ICIC (3)
Jiliang Xu, Chungui Xu, Ruifen Cao, Yonghui He, Yannan Bin, Chun-Hou Zheng
2023 — conf
Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis.
ICIC (3)
Yi-Ming Wang, Xiang-Zhen Kong, Boxin Guan, Chun-Hou Zheng, Ying-Lian Gao
2023 J jnl
LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng
2023 J jnl
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng
2023 J jnl
NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes.
IEEE J. Biomed. Health Informatics
Meng-Meng Yin, Ying-Lian Gao, Chun-Hou Zheng, Jin-Xing Liu
2023 J jnl
Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng, Ying-Lian Gao
2023 J jnl
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shouzhi Chen, Yanhong Liao, Jianping Zhao, Yannan Bin, Chun-Hou Zheng
2023 J jnl
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Li-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-Hao Liu, Chun-Hou Zheng, Yu-Tian Wang
2023 J jnl
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst.
Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu
2023 — conf
Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping Algorithm.
ICIC (3)
Pi-Jing Wei, Shu-Li Zhou, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng
2023 J jnl
frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human Genome.
IEEE ACM Trans. Comput. Biol. Bioinform.
Huadong Wang, Jianhui Sun, Mengya Liu, Chun-Hou Zheng, Junfeng Xia, Na Cheng
2023 J jnl
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction.
PLoS Comput. Biol.
Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang
2023 J jnl
scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network.
Briefings Bioinform.
Jing Wang, Junfeng Xia, Haiyun Wang, Yansen Su, Chun-Hou Zheng
2023 J jnl
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis.
IEEE J. Biomed. Health Informatics
Sheng-Wen Tian, Jiancheng Ni, Yu-Tian Wang, Chun-Hou Zheng, Cunmei Ji
2023 J jnl
scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data.
Briefings Bioinform.
Haiyun Wang, Jian-ping Zhao, Chun-Hou Zheng, Yan-Sen Su
2022 J jnl
A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs.
IEEE ACM Trans. Comput. Biol. Bioinform.
Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng
2022 — conf
A Unified Graph Attention Network Based Framework for Inferring circRNA-Disease Associations.
ICIC (3)
Cunmei Ji, Zhi-Hao Liu, Li-Juan Qiao, Yu-Tian Wang, Chun-Hou Zheng
2022 J jnl
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis.
BMC Bioinform.
He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong
2022 J jnl
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism.
Briefings Bioinform.
Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu
2022 — conf
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering.
ISBRA
Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
2022 J jnl
An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation.
IEEE Trans. Circuits Syst. Video Technol.
Na Cheng, Huadong Wang, Xi Tang, Tao Zhang, Jie Gui, Chun-Hou Zheng, Junfeng Xia
2022 — conf
An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification.
BIBM
Zhi-yuan Li, Ying-Lian Gao, Zhen-Xin Niu, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu
2022 — conf
Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing.
ICIC (2)
Rong Qi, Chun-Hou Zheng, Cunmei Ji, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang
2022 J jnl
DeeProPre: A promoter predictor based on deep learning.
Comput. Biol. Chem.
Zhi-Wen Ma, Jianping Zhao, Jing Tian, Chun-Hou Zheng
2022 J jnl
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases.
Future Gener. Comput. Syst.
Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu
2022 J jnl
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation.
IEEE Trans. Cybern.
Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2022 J jnl
Predicting miRNA-Disease Association Based on Improved Graph Regression.
IEEE ACM Trans. Comput. Biol. Bioinform.
Lei Li, Zhen Gao, Chun-Hou Zheng, Rong Qi, Yu-Tian Wang, Jian-Cheng Ni
2022 — conf
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors.
BIBM
Cui-Na Jiao, Chun-Hou Zheng, Jin-Xing Liu, Feng Li
2022 J jnl
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2022 J jnl
SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints.
IEEE J. Biomed. Health Informatics
Na-Na Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2022 J jnl
Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Chun-Hou Zheng
2022 J jnl
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization.
IEEE J. Biomed. Health Informatics
Chuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng
2022 J jnl
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation.
IEEE J. Biomed. Health Informatics
Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng
2022 J jnl
iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework.
BMC Bioinform.
Meng Liao, Jian-ping Zhao, Jing Tian, Chun-Hou Zheng
2022 J jnl
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory.
Comput. Methods Programs Biomed.
Zhi-min Zhang, Jian-ping Zhao, Pi-Jing Wei, Chun-Hou Zheng
2022 J jnl
scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Haiyun Wang, Jian-ping Zhao, Yan-Sen Su, Chun-Hou Zheng
2022 J jnl
scCNC: a method based on capsule network for clustering scRNA-seq data.
Bioinform.
Haiyun Wang, Jian-ping Zhao, Chun-Hou Zheng, Yan-Sen Su
2022 J jnl
scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation.
Briefings Bioinform.
Jing Wang, Junfeng Xia, Dayu Tan, Rongxin Lin, Yansen Su, Chun-Hou Zheng
2021 J jnl
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.
IEEE Trans. Cybern.
Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu
2021 J jnl
Double matrix completion for circRNA-disease association prediction.
BMC Bioinform.
Zong-Lan Zuo, Rui-Fen Cao, Pi-Jing Wei, Jun-Feng Xia, Chun-Hou Zheng
2021 J jnl
Erratum: usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.
Briefings Bioinform.
Xi Tang, Tao Zhang, Na Cheng, Huadong Wang, Chun-Hou Zheng, Junfeng Xia, Tiejun Zhang
2021 J jnl
GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest.
Briefings Bioinform.
Qing-Wen Wu, Jun-Feng Xia, Jian-Cheng Ni, Chun-Hou Zheng
2021 J jnl
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder.
PLoS Comput. Biol.
Lei Li, Yu-Tian Wang, Cunmei Ji, Chun-Hou Zheng, Jian-Cheng Ni, Yan-Sen Su
2021 J jnl
Identification of driver genes based on gene mutational effects and network centrality.
BMC Bioinform.
Yun-Yun Tang, Pi-Jing Wei, Jian-ping Zhao, Junfeng Xia, Rui-Fen Cao, Chun-Hou Zheng
2021 J jnl
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.
Knowl. Based Syst.
Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2021 — conf
MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-Disease Association.
ICIC (3)
Zhen-Wei Zhang, Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, Sumin Qi
2021 — conf
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation.
ISBRA
Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
2021 J jnl
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features.
BMC Medical Informatics Decis. Mak.
Yu-Tian Wang, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni, Chun-Hou Zheng
2021 J jnl
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng, Yan Xiong, Peng Chen, Zhiwei Ji, Bing Wang
2021 — conf
RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association.
ICIC (3)
Ming-Wen Zhang, Yu-Tian Wang, Zhen Gao, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng
2021 J jnl
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization.
PLoS Comput. Biol.
Lei Li, Zhen Gao, Yu-Tian Wang, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng, Yansen Su
2021 — conf
SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq Data.
ICIC (3)
Jian-ping Zhao, Haiyun Wang, Chun-Hou Zheng
2021 — conf
Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy.
BIBM
Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu
2021 J jnl
usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme.
Briefings Bioinform.
Xi Tang, Tao Zhang, Na Cheng, Huadong Wang, Chun-Hou Zheng, Junfeng Xia, Tiejun Zhang
2020 — conf
A Novel Clustering-Framework of Gene Expression Data Based on the Combination Between Deep Learning and Self-organizing Map.
ICIC (2)
Yan Cui, Huacheng Gao, Rui Zhang, Yuanyuan Lu, Yuan Xue, Chun-Hou Zheng
2020 J jnl
A feature-based approach to predict hot spots in protein-DNA binding interfaces.
Briefings Bioinform.
Sijia Zhang, Le Zhao, Chun-Hou Zheng, Junfeng Xia
2020 J jnl
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data.
Complex.
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiangzhen Kong
2020 J jnl
Comparison and integration of computational methods for deleterious synonymous mutation prediction.
Briefings Bioinform.
Na Cheng, Menglu Li, Le Zhao, Bo Zhang, Yuhua Yang, Chun-Hou Zheng, Junfeng Xia
2020 J jnl
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification.
BMC Bioinform.
Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
2020 J jnl
Graph regularized L
BMC Bioinform.
Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Jian-Cheng Ni, Chun-Hou Zheng
2020 J jnl
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data.
IEEE J. Biomed. Health Informatics
Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2020 J jnl
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Xiujuan Lei
2020 — conf
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification.
ICIC (2)
Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2019 J jnl
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data.
J. Comput. Biol.
Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng
2019 — conf
A Link and Weight-Based Ensemble Clustering for Patient Stratification.
ICIC (2)
Yuan-Yuan Zhang, Chao Yang, Jing Wang, Chun-Hou Zheng
2019 J jnl
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform.
Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen
2019 J jnl
A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery.
Cogn. Syst. Res.
Qing Yan, Yun Ding, Jing-Jing Zhang, Yi Xia, Chun-Hou Zheng
2019 J jnl
Deep spatial attention hashing network for image retrieval.
J. Vis. Commun. Image Represent.
Lin-Wei Ge, Jun Zhang, Yi Xia, Peng Chen, Bing Wang, Chun-Hou Zheng
2019 — conf
Discovering Driver Mutation Profiles in Cancer with a Local Centrality Score.
ICIC (2)
Ying Hui, Pi-Jing Wei, Jun-Feng Xia, Hong-Bo Wang, Jing Wang, Chun-Hou Zheng
2019 — conf
HGMDA: HyperGraph for Predicting MiRNA-Disease Association.
ICIC (2)
Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng
2019 — conf
Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations.
ICIC (2)
Xin Ding, Jun-Feng Xia, Yutian Wang, Jing Wang, Chun-Hou Zheng
2019 J jnl
Integrative graph regularized matrix factorization for drug-pathway associations analysis.
Comput. Biol. Chem.
Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiangzhen Kong
2019 J jnl
NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations.
BMC Bioinform.
Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng
2019 J jnl
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations.
BMC Bioinform.
Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang
2019 J jnl
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.
CoRR
Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
2019 J jnl
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data.
IEEE Trans. Neural Networks Learn. Syst.
Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
2018 — conf
An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features.
ISBRA
Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng
2018 — conf
Automatic License Plate Recognition Based on Faster R-CNN Algorithm.
ICIC (3)
Zhi Yang, Feng-Lin Du, Yi Xia, Chun-Hou Zheng, Jun Zhang
2018 — conf
CDC-MRF for Hyperspectral Data Classification.
ICIC (3)
YuanYuan Li, Jingjing Zhang, Chun-Hou Zheng, Qing Yan, Li-Na Xun
2018 — conf
Classification of Hyperspectral Data Using a Multi-Channel Convolutional Neural Network.
ICIC (3)
Chen Chen, Jing-Jing Zhang, Chun-Hou Zheng, Qing Yan, Li-Na Xun
2018 J jnl
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu
2018 — conf
Similarity-Based Integrated Method for Predicting Drug-Disease Interactions.
ICIC (2)
Yan-Zhe Di, Peng Chen, Chun-Hou Zheng
2018 — conf
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search.
ICIC (2)
Chang Liu, Junliang Shang, Xuhui Zhu, Yan Sun, Jin-Xing Liu, Chun-Hou Zheng, Junying Zhang
2017 J jnl
A joint-L
Neurocomputing
Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu
2017 J jnl
Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shu-Guang Ge, Junfeng Xia, Wen Sha, Chun-Hou Zheng
2017 J jnl
DriverFinder: A Gene Length-Based Network Method to Identify Cancer Driver Genes.
Complex.
Pi-Jing Wei, Di Zhang, Haitao Li, Junfeng Xia, Chun-Hou Zheng
2017 — conf
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes.
BIBM
Na Yu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu
2017 J jnl
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition.
BMC Syst. Biol.
Jin-Xing Liu, Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Sha-Sha Wu, Junliang Shang
2017 — conf
Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes.
BIBM
Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Ling-Yun Dai
2017 J jnl
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography.
Neurocomputing
Jun Zhang, Chun-Hou Zheng, Yi Xia, Bing Wang, Peng Chen
2017 J jnl
Pedestrian detection based on gradient and texture feature integration.
Neurocomputing
Chun-Hou Zheng, Wen-Juan Pei, Qing Yan, Yanwen Chong
2017 J jnl
Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes.
Complex.
Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou
2017 — conf
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes.
BIBM
Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang
2017 — conf
Similarity Matrix Construction Methods in Sparse Subspace Clustering Algorithm for Hyperspectral Imagery Clustering.
ICIC (1)
Qing Yan, Yun Ding, Jing-Jing Zhang, Li-Na Xun, Chun-Hou Zheng
2017 J jnl
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm.
BioData Min.
Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li, Chun-Hou Zheng
2016 J jnl
A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu
2016 — conf
A Simple Review of Sparse Principal Components Analysis.
ICIC (2)
Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Dong Wang
2016 — conf
A p-norm singular value decomposition method for robust tumor clustering.
BIBM
Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Yao Lu
2016 — conf
Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm.
ICIC (1)
Zhen Sun, Jun Zhang, Chun-Hou Zheng, Bing Wang, Peng Chen
2016 J jnl
CINOEDV: a co-information based method for detecting and visualizing
BMC Bioinform.
Junliang Shang, Yingxia Sun, Jin-Xing Liu, Junfeng Xia, Junying Zhang, Chun-Hou Zheng
2016 — conf
Cancer genes discovery based on integtating transcriptomic data and the impact of gene length.
BIBM
Pi-Jing Wei, Di Zhang, Chun-Hou Zheng, Junfeng Xia
2016 J jnl
Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu
2016 J jnl
Combine multiple mass spectral similarity measures for compound identification.
Int. J. Data Min. Bioinform.
Jun Zhang, Yi Xia, Chun-Hou Zheng, Bing Wang, Xiang Zhang, Peng Chen
2016 — conf
Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data.
ICIC (2)
Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
2016 J jnl
Differentially expressed genes selection via Laplacian regularized low-rank representation method.
Comput. Biol. Chem.
Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang
2016 — conf
Differentially expressed genes selection via Truncated Nuclear Norm Regularization.
BIBM
Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Hou Zheng, Yong Du
2016 — conf
Gene Extraction Based on Sparse Singular Value Decomposition.
ICIC (1)
Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang
2016 J jnl
Identification of mutated driver pathways in cancer using a multi-objective optimization model.
Comput. Biol. Medicine
Chun-Hou Zheng, Wu Yang, Yanwen Chong, Junfeng Xia
2016 J jnl
Improved sparse representation with low-rank representation for robust face recognition.
Neurocomputing
Chun-Hou Zheng, Yi-Fu Hou, Jun Zhang
2016 — conf
L21-iPaD: An efficient method for drug-pathway association pairs inference.
BIBM
Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Sha-Sha Wu, Junliang Shang
2016 J jnl
LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network.
BMC Bioinform.
Pi-Jing Wei, Di Zhang, Junfeng Xia, Chun-Hou Zheng
2016 — conf
Leaf Clustering Based on Sparse Subspace Clustering.
ICIC (2)
Yun Ding, Qing Yan, Jing-Jing Zhang, Li-Na Xun, Chun-Hou Zheng
2016 — conf
Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection.
BIBM
Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu
2016 — conf
Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes.
BIBM
Jin-Xing Liu, Xiangzhen Kong, Chun-Hou Zheng, Junliang Shang, Wei Zhang
2016 — conf
Srrr-cluster: Using Sparse Reduced-Rank Regression to Optimize iCluster.
ICIC (3)
Shu-Guang Ge, Junfeng Xia, Pi-Jing Wei, Chun-Hou Zheng
2016 — conf
System Prediction of Drug-Drug Interactions Through the Integration of Drug Phenotypic, Therapeutic, Structural, and Genomic Similarities.
ICIC (1)
Binglei Wang, Xingxing Yu, Ran Wei, Chenxing Yuan, Xiaoyu Li, Chun-Hou Zheng
2015 — conf
A Two-Stage Sparse Selection Method for Extracting Characteristic Genes.
ICIC (2)
Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Yuxia Lei
2015 — conf
Discovery of Ovarian Cancer Candidate Genes Using Protein Interaction Information.
ICIC (2)
Di Zhang, Qingbao Wang, Rongrong Zhu, Haitao Li, Chun-Hou Zheng, Junfeng Xia
2015 — conf
Identification of Colorectal Cancer Candidate Genes Based on Subnetwork Extraction Algorithm.
ICIC (3)
Ran Wei, Haitao Li, Yanjun Wang, Chun-Hou Zheng, Junfeng Xia
2015 J jnl
MGDB: a comprehensive database of genes involved in melanoma.
Database J. Biol. Databases Curation
Di Zhang, Rongrong Zhu, Hanqian Zhang, Chun-Hou Zheng, Junfeng Xia
2015 — conf
Multi-objective Optimization Method for Identifying Mutated Driver Pathways in Cancer.
ICIC (2)
Wu Yang, Junfeng Xia, Yan Zhang, Chun-Hou Zheng
2015 — conf
Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning.
ICIC (2)
Zhi-Shui Zhang, Li-Li Cao, Jun Zhang, Peng Chen, Chun-Hou Zheng
2015 J jnl
RPCA-Based Tumor Classification Using Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai
2015 — conf
Semi-supervised Feature Extraction for RNA-Seq Data Analysis.
ICIC (3)
Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang
2014 — conf
A survey of pattern classification-based methods for predicting survival time of lung cancer patients.
BIBM
Bin Gan, Chun-Hou Zheng, Hong-Qiang Wang
2014 J jnl
Gene differential coexpression analysis based on biweight correlation and maximum clique.
BMC Bioinform.
Chun-Hou Zheng, Lin Yuan, Wen Sha, Zhan-Li Sun
2014 — conf
Pedestrian Detection Based on HOG and LBP.
ICIC (1)
Wen-Juan Pei, Yu-lan Zhang, Yan Zhang, Chun-Hou Zheng
2014 J jnl
Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set.
BMC Bioinform.
Zhu-Hong You, Lin Zhu, Chun-Hou Zheng, Hongjie Yu, Suping Deng, Zhen Ji
2014 — conf
Simulated Annealing Based Algorithm for Mutated Driver Pathways Detecting.
ICIC (2)
Chao Yan, Haitao Li, Ai-Xin Guo, Wen Sha, Chun-Hou Zheng
2014 — conf
Tumor Clustering Using Independent Component Analysis and Adaptive Affinity Propagation.
ICIC (3)
Fen Ye, Junfeng Xia, Yanwen Chong, Yan Zhang, Chun-Hou Zheng
2013 — conf
Biweight Midcorrelation-Based Gene Differential Coexpression Analysis and Its Application to Type II Diabetes.
ICIC (3)
Lin Yuan, Wen Sha, Zhan-Li Sun, Chun-Hou Zheng
2013 — conf
Differential coexpression analysis in gene modules level and its application to type 2 diabetes.
BIBM
Lin Yuan, Wen Sha, Jun Zhang, Chun-Hou Zheng, Junfeng Xia
2013 — conf
Dimensionality Reduction for Microarray Data Using Local Mean Based Discriminant Analysis.
ICIC (2)
Yan Cui, Chun-Hou Zheng, Jian Yang
2013 — conf
Eigenface-Based Sparse Representation for Face Recognition.
ICIC (2)
Yi-Fu Hou, Wen-Juan Pei, Yanwen Chong, Chun-Hou Zheng
2013 — conf
Inferring Transcriptional Modules from Microarray and ChIP-Chip Data Using Penalized Matrix Decomposition.
ICIC (2)
Chun-Hou Zheng, Wen Sha, Zhan-Li Sun, Jun Zhang
2013 — conf
Prediction of cytochrome P450 inhibition using ensemble of extreme learning machine.
BIBM
Huan Wu, Yun-Qiang Di, Chun-Hou Zheng, Junfeng Xia
2013 J jnl
Robust PCA based method for discovering differentially expressed genes.
BMC Bioinform.
Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu
2013 J jnl
Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data.
Comput. Biol. Medicine
Yan Cui, Chun-Hou Zheng, Jian Yang, Wen Sha
2012 — conf
Extracting local information for identifying differentially expressed pathways.
FSKD
Hong-Qiang Wang, Zengfu Wang, Chun-Hou Zheng
2012 J jnl
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition.
Comput. Biol. Medicine
Jin-Xing Liu, Chun-Hou Zheng, Yong Xu
2012 — conf
Float Cascade Method for Pedestrian Detection.
ICIC (3)
Yanwen Chong, Qingquan Li, Hulin Kuang, Chun-Hou Zheng
2012 — conf
Identifying Characteristic Genes Based on Robust Principal Component Analysis.
ICIC (3)
Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu
2012 — conf
MutualCascade Method for Pedestrian Detection.
ICIC (3)
Yanwen Chong, Qingquan Li, Hulin Kuang, Chun-Hou Zheng
2012 — conf
Particle Filter Based on Multiple Cues Fusion for Pedestrian Tracking.
ICIC (3)
Yanwen Chong, Rong Chen, Qingquan Li, Chun-Hou Zheng
2012 J jnl
Tumor Classification Using Eigengene-Based Classifier Committee Learning Algorithm.
IEEE Signal Process. Lett.
Zhan-Li Sun, Chun-Hou Zheng, Qingwei Gao, Jun Zhang, Dexiang Zhang
2011 — conf
A Pathway-Based Classification Method That Can Improve Microarray-Based Colorectal Cancer Diagnosis.
ICIC (3)
Hong-Qiang Wang, Xin-Ping Xie, Chun-Hou Zheng
2011 J jnl
Discovering the transcriptional modules using microarray data by penalized matrix decomposition.
Comput. Biol. Medicine
Jun Zhang, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang
2011 J jnl
Gene selection using independent variable group analysis for tumor classification.
Neural Comput. Appl.
Chun-Hou Zheng, Yanwen Chong, Hong-Qiang Wang
2011 J jnl
Metasample-Based Sparse Representation for Tumor Classification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chun-Hou Zheng, Lei Zhang, To-Yee Ng, Simon Chi-Keung Shiu, De-Shuang Huang
2011 J jnl
Molecular Pattern Discovery Based on Penalized Matrix Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chun-Hou Zheng, Lei Zhang, Vincent To-Yee Ng, Simon Chi-Keung Shiu, De-Shuang Huang
2011 — conf
Sparse Maximum Margin Discriminant Analysis for Gene Selection.
ICIC (3)
Yan Cui, Jian Yang, Chun-Hou Zheng
2010 J jnl
Gene expression data classification using locally linear discriminant embedding.
Comput. Biol. Medicine
Bo Li, Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Kyungsook Han
2010 — conf
Inferring the Transcriptional Modules Using Penalized Matrix Decomposition.
ICIC (2)
Chun-Hou Zheng, Lei Zhang, To-Yee Ng, Simon Chi-Keung Shiu, Shu-Lin Wang
2009 — conf
Constrained Maximum Variance Mapping for Tumor Classification.
ICIC (1)
Chun-Hou Zheng, Feng-Ling Wu, Bo Li, Juan Wang
2009 B conf
Gene expression data classification based on non-negative matrix factorization.
IJCNN
Chun-Hou Zheng, Ping Zhang, Lei Zhang, Xinxin Liu, Ju Han
2009 J jnl
Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection.
IEEE Trans. Inf. Technol. Biomed.
Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Xiangzhen Kong
2008 J jnl
Gene Expression Data Classification Using Consensus Independent Component Analysis.
Genom. Proteom. Bioinform.
Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao
2008 — conf
Gene Expression Data Classification Using Independent Variable Group Analysis.
ISNN (2)
Chun-Hou Zheng, Lei Zhang, Bo Li, Min Xu
2008 — conf
Improving Tumor Clustering Based on Gene Selection.
ICIC (1)
Xiangzhen Kong, Chun-Hou Zheng, Yuqiang Wu, Yutian Wang
2008 — conf
Locally Linear Discriminant Embedding for Tumor Classification.
ICIC (2)
Chun-Hou Zheng, Bo Li, Lei Zhang, Hong-Qiang Wang
2008 J jnl
Locally linear discriminant embedding: An efficient method for face recognition.
Pattern Recognit.
Bo Li, Chun-Hou Zheng, De-Shuang Huang
2008 — conf
Multiple Classification of Plant Leaves Based on Gabor Transform and LBP Operator.
ICIC (3)
Feng-Yan Lin, Chun-Hou Zheng, Xiaofeng Wang, Qing-Kui Man
2008 — conf
Recognition of Plant Leaves Using Support Vector Machine.
ICIC (3)
Qing-Kui Man, Chun-Hou Zheng, Xiaofeng Wang, Feng-Yan Lin
2008 — conf
Tumor Classification Using Non-negative Matrix Factorization.
ICIC (3)
Ping Zhang, Chun-Hou Zheng, Bo Li, Chang-Gang Wen
2007 J jnl
MISEP Method for Postnonlinear Blind Source Separation.
Neural Comput.
Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun
2007 — conf
Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint.
ICIC (1)
Xiangzhen Kong, Chun-Hou Zheng, Yuqiang Wu, Li Shang
2007 — conf
Mutual Information Based Approach for Nonnegative Independent Component Analysis.
ICIC (2)
Hua-Jian Wang, Chun-Hou Zheng, Li-Hua Zhang
2006 — conf
Bark Classification Based on Textural Features Using Artificial Neural Networks.
ISNN (2)
Zhi-Kai Huang, Chun-Hou Zheng, Ji-Xiang Du, Yuanyuan Wan
2006 J jnl
Feature selection in independent component subspace for microarray data classification.
Neurocomputing
Chun-Hou Zheng, De-Shuang Huang, Li Shang
2006 J jnl
Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.
Bioinform.
De-Shuang Huang, Chun-Hou Zheng
2006 — conf
Nonlinear Blind Source Separation Using Hybrid Neural Networks.
ISNN (1)
Chun-Hou Zheng, Zhi-Kai Huang, Michael R. Lyu, Tat-Ming Lok
2006 J jnl
Nonnegative independent component analysis based on minimizing mutual information technique.
Neurocomputing
Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok
2006 J jnl
Optimal selection of time lags for TDSEP based on genetic algorithm.
Neurocomputing
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang
2006 J jnl
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network.
Neurocomputing
Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Zheng
2006 — conf
Penalized Independent Component Discriminant Method for Tumor Classification.
ICIC (3)
Chun-Hou Zheng, Li Shang, Yan Chen, Zhi-Kai Huang
2006 J jnl
Tumor classification based on independent component analysis.
Int. J. Pattern Recognit. Artif. Intell.
Chun-Hou Zheng, Yan Chen, Xiu-Xia Li, Yi-Xue Li, Yunping Zhu
2005 B conf
Blind inversion of Wiener system for single source using nonlinear blind source separation.
IJCNN
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang
2005 J jnl
Using batch algorithm for kernel blind source separation.
Neurocomputing
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang