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ORCIDChun-Hou Zheng 0001
Chunhou Zheng 0001
Person information
- affiliation: Anhui University, College of Electrical Engineering and Automation, Hefei, China
- affiliation: Qufu Normal University, College of Information and Communication Technology, Rizhao, China
Other persons with the same name
- Chun-Hou Zheng (aka: Chunhou Zheng) — disambiguation page
- Chun-Hou Zheng 0002
![[0000-0001-5176-6880]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5176-6880")
— TianJin Polytechnic University, School of Electrical Engineering and Automation, China
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Journal Articles
- 2024
[j143]Zhen Gao, Yansen Su, Junfeng Xia, Rui-Fen Cao, Yun Ding, Chun-Hou Zheng, Pi-Jing Wei:
DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding. Briefings Bioinform. 25(3) (2024)- [j142]Pi-Jing Wei, Ziqiang Guo, Zhen Gao, Zheng Ding, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng:
Inference of gene regulatory networks based on directed graph convolutional networks. Briefings Bioinform. 25(4) (2024) - [j141]Pi-Jing Wei, Jin-Jin Bao, Zhen Gao, Jing-Yun Tan, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng, Li Deng:
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 179: 108835 (2024) - [j140]Yanhong Liao, Shouzhi Chen, Yannan Bin, Jianping Zhao, Xinlong Feng, Chun-Hou Zheng:
UsIL-6: An unbalanced learning strategy for identifying IL-6 inducing peptides by undersampling technique. Comput. Methods Programs Biomed. 250: 108176 (2024) - [j139]Pi-Jing Wei, Qianqian Wang, Zhen Gao, Ruifen Cao, Chun-Hou Zheng:
DMFVAE: miRNA-disease associations prediction based on deep matrix factorization method with variational autoencoder. Frontiers Comput. Sci. 18(6): 186912 (2024) - [j138]Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang:
Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer. Future Gener. Comput. Syst. 159: 204-220 (2024) - [j137]Yue Gao, Ying-Lian Gao, Jing Jing, Feng Li, Chun-Hou Zheng, Jin-Xing Liu:
A review of recent advances in spatially resolved transcriptomics data analysis. Neurocomputing 603: 128283 (2024) - [j136]Xin Xia, Yiping Liu, Chunhou Zheng, Xingyi Zhang, Qingwen Wu, Xin Gao, Xiangxiang Zeng, Yansen Su:
Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space. J. Chem. Inf. Model. 64(13): 5161-5174 (2024) - [j135]Bao-Min Liu, Ying-Lian Gao, Feng Li, Chun-Hou Zheng, Jin-Xing Liu:
SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations. Knowl. Based Syst. 283: 111187 (2024) - [j134]Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang:
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 360-371 (2024) - [j133]Dayu Tan, Yansen Su, Xin Peng, Hongtian Chen, Chunhou Zheng, Xingyi Zhang, Weimin Zhong:
Large-Scale Data-Driven Optimization in Deep Modeling With an Intelligent Decision-Making Mechanism. IEEE Trans. Cybern. 54(5): 2798-2810 (2024) - [j132]Yun Ding, Yanwen Chong, Shaoming Pan, Chun-Hou Zheng:
Class-Imbalanced Graph Convolution Smoothing for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j131]Rui Yan, Zhilong Lv, Zhidong Yang, Senlin Lin, Chun-Hou Zheng, Fa Zhang:
Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images. IEEE J. Biomed. Health Informatics 28(1): 7-18 (2024) - [j130]Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao:
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(2): 1110-1121 (2024) - [j129]Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-Li Wang, Chun-Hou Zheng, Jin-Xing Liu:
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data. IEEE J. Biomed. Health Informatics 28(6): 3513-3522 (2024) - [j128]Dayu Tan, Rui Hao, Xiaoping Zhou, Junfeng Xia, Yansen Su, Chun-Hou Zheng:
A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(9): 5396-5409 (2024) - [j127]Dai-Jun Zhang, Ying-Lian Gao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu:
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2473-2483 (2024) - 2023
- [j126]Jing Wang, Junfeng Xia, Haiyun Wang, Yansen Su, Chun-Hou Zheng:
scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network. Briefings Bioinform. 24(1) (2023) - [j125]Lihua Wang, Tao Zhang, Lihong Yu, Chun-Hou Zheng, Wenguang Yin, Junfeng Xia, Tiejun Zhang:
Deleterious synonymous mutation identification based on selective ensemble strategy. Briefings Bioinform. 24(1) (2023) - [j124]Hai-Yun Wang, Jian-Ping Zhao, Chun-Hou Zheng, Yan-Sen Su:
scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data. Briefings Bioinform. 24(1) (2023) - [j123]Yansen Su, Rongxin Lin, Jing Wang, Dayu Tan, Chun-Hou Zheng:
Denoising adaptive deep clustering with self-attention mechanism on single-cell sequencing data. Briefings Bioinform. 24(2) (2023) - [j122]Zile Wang, Haiyun Wang, Jianping Zhao, Chunhou Zheng:
scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data. BMC Bioinform. 24(1): 217 (2023) - [j121]Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang:
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. J. Comput. Biol. 30(8): 848-860 (2023) - [j120]Lin Yuan, Jiawang Zhao, Zhen Shen, Qinhu Zhang, Yushui Geng, Chun-Hou Zheng, De-Shuang Huang:
iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction. PLoS Comput. Biol. 19(8) (2023) - [j119]Ruifen Cao, Long Ning, Chao Zhou, Pi-Jing Wei, Yun Ding, Dayu Tan, Chunhou Zheng:
CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images. Sensors 23(21): 8739 (2023) - [j118]Zhi-Hao Liu, Cunmei Ji, Jian-Cheng Ni, Yu-Tian Wang, Li-Juan Qiao, Chun-Hou Zheng:
Convolution Neural Networks Using Deep Matrix Factorization for Predicting Circrna-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 277-284 (2023) - [j117]Huadong Wang, Jianhui Sun, Mengya Liu, Chun-Hou Zheng, Junfeng Xia, Na Cheng:
frDSM: An Ensemble Predictor With Effective Feature Representation for Deleterious Synonymous Mutation in Human Genome. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 371-377 (2023) - [j116]Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng:
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 534-543 (2023) - [j115]Wen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng:
LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1774-1782 (2023) - [j114]He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Han Zhang:
A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2802-2809 (2023) - [j113]Zhen Gao, Jin Tang, Junfeng Xia, Chun-Hou Zheng, Pi-Jing Wei:
CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2853-2861 (2023) - [j112]Shouzhi Chen, Yanhong Liao, Jianping Zhao, Yannan Bin, Chun-Hou Zheng:
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3106-3116 (2023) - [j111]Li-Juan Qiao, Zhen Gao, Cunmei Ji, Zhi-Hao Liu, Chun-Hou Zheng, Yu-Tian Wang:
Potential circRNA-Disease Association Prediction Using DeepWalk and Nonnegative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3154-3162 (2023) - [j110]Qingqing Cao, Jianping Zhao, Hai-Yun Wang, Qi Guan, Chun-Hou Zheng:
An Integrated Method Based on Wasserstein Distance and Graph for Cancer Subtype Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3499-3510 (2023) - [j109]Jin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng, Ying-Lian Gao:
Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3737-3747 (2023) - [j108]Cunmei Ji, Ning Yu, Yu-Tian Wang, Rong Qi, Chun-Hou Zheng:
An End-to-End Deep Hybrid Autoencoder Based Method for Single-Cell RNA-Seq Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3889-3900 (2023) - [j107]Yun Ding, Yanwen Chong, Shaoming Pan, Chun-Hou Zheng:
Diversity-Connected Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j106]Meng-Meng Yin, Ying-Lian Gao, Chun-Hou Zheng, Jin-Xing Liu:
NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes. IEEE J. Biomed. Health Informatics 27(3): 1644-1653 (2023) - [j105]Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang:
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics 27(5): 2575-2584 (2023) - [j104]Sheng-Wen Tian, Jiancheng Ni, Yu-Tian Wang, Chun-Hou Zheng, Cunmei Ji:
scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis. IEEE J. Biomed. Health Informatics 27(12): 6133-6143 (2023) - [j103]Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu:
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5570-5579 (2023) - 2022
- [j102]Jing Wang, Junfeng Xia, Dayu Tan, Rongxin Lin, Yansen Su, Chun-Hou Zheng:
scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation. Briefings Bioinform. 23(2) (2022) - [j101]Shouzhi Chen, Qing Li, Jianping Zhao, Yannan Bin, Chunhou Zheng:
NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides. Briefings Bioinform. 23(5) (2022) - [j100]Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu:
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. Briefings Bioinform. 23(6) (2022) - [j99]Yansen Su, Minglu Wang, Pengpeng Wang, Chunhou Zheng, Yuansheng Liu, Xiangxiang Zeng:
Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison. Briefings Bioinform. 23(6) (2022) - [j98]Hai-Yun Wang, Jian-Ping Zhao, Chun-Hou Zheng, Yan-Sen Su:
scCNC: a method based on capsule network for clustering scRNA-seq data. Bioinform. 38(15): 3703-3709 (2022) - [j97]He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong:
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. BMC Bioinform. 23(1): 381 (2022) - [j96]Meng Liao, Jian-ping Zhao, Jing Tian, Chun-Hou Zheng:
iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework. BMC Bioinform. 23(1): 480 (2022) - [j95]Zhi-Wen Ma, Jianping Zhao, Jing Tian, Chun-Hou Zheng:
DeeProPre: A promoter predictor based on deep learning. Comput. Biol. Chem. 101: 107770 (2022) - [j94]Zhi-min Zhang, Jian-ping Zhao, Pi-Jing Wei, Chun-Hou Zheng:
iPromoter-CLA: Identifying promoters and their strength by deep capsule networks with bidirectional long short-term memory. Comput. Methods Programs Biomed. 226: 107087 (2022) - [j93]Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu:
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. Future Gener. Comput. Syst. 134: 247-255 (2022) - [j92]Haiyun Wang, Jianping Zhao, Chunhou Zheng, Yansen Su:
scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data. PLoS Comput. Biol. 18(12): 1010772 (2022) - [j91]Rui Yan, Fei Ren, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Fa Zhang:
Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images. Sensors 22(11): 4061 (2022) - [j90]Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng:
A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 763-772 (2022) - [j89]Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Chun-Hou Zheng:
Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1154-1164 (2022) - [j88]Hao Jiang, Fei Zhan, Congtao Wang, Jianfeng Qiu, Yansen Su, Chunhou Zheng, Xingyi Zhang, Xiangxiang Zeng:
A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1435-1448 (2022) - [j87]Cunmei Ji, Yutian Wang, Zhen Gao, Lei Li, Jiancheng Ni, Chunhou Zheng:
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2049-2059 (2022) - [j86]Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang:
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2420-2430 (2022) - [j85]Qing-Wen Wu, Rui-Fen Cao, Jun-Feng Xia, Jian-Cheng Ni, Chunhou Zheng, Yan-Sen Su:
Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3171-3178 (2022) - [j84]Lei Li, Zhen Gao, Chun-Hou Zheng, Rong Qi, Yu-Tian Wang, Jian-Cheng Ni:
Predicting miRNA-Disease Association Based on Improved Graph Regression. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3604-3613 (2022) - [j83]Hai-Yun Wang, Jian-ping Zhao, Yan-Sen Su, Chun-Hou Zheng:
scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3685-3694 (2022) - [j82]Na Cheng, Huadong Wang, Xi Tang, Tao Zhang, Jie Gui, Chun-Hou Zheng, Junfeng Xia:
An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2603-2611 (2022) - [j81]Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng:
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. IEEE Trans. Cybern. 52(6): 5079-5087 (2022) - [j80]Chuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng:
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics 26(1): 458-467 (2022) - [j79]Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng:
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. IEEE J. Biomed. Health Informatics 26(4): 1872-1882 (2022) - [j78]Na-Na Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang:
SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints. IEEE J. Biomed. Health Informatics 26(7): 3556-3566 (2022) - 2021
- [j77]Xi Tang, Tao Zhang, Na Cheng, Huadong Wang, Chun-Hou Zheng, Junfeng Xia, Tiejun Zhang:
usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme. Briefings Bioinform. 22(5) (2021) - [j76]Qing-Wen Wu, Jun-Feng Xia, Jian-Cheng Ni, Chun-Hou Zheng:
GAERF: predicting lncRNA-disease associations by graph auto-encoder and random forest. Briefings Bioinform. 22(5) (2021) - [j75]Xi Tang, Tao Zhang, Na Cheng, Huadong Wang, Chun-Hou Zheng, Junfeng Xia, Tiejun Zhang:
Erratum: usDSM: a novel method for deleterious synonymous mutation prediction using undersampling scheme. Briefings Bioinform. 22(6) (2021) - [j74]Cunmei Ji, Zhen Gao, Xu Ma, Qing-Wen Wu, Jian-Cheng Ni, Chunhou Zheng:
AEMDA: inferring miRNA-disease associations based on deep autoencoder. Bioinform. 37(1): 66-72 (2021) - [j73]Jing Tian, Jianping Zhao, Chunhou Zheng:
Clustering of cancer data based on Stiefel manifold for multiple views. BMC Bioinform. 22(1): 268 (2021) - [j72]Zong-Lan Zuo, Rui-Fen Cao, Pi-Jing Wei, Jun-Feng Xia, Chun-Hou Zheng:
Double matrix completion for circRNA-disease association prediction. BMC Bioinform. 22(1): 307 (2021) - [j71]Yun-Yun Tang, Pi-Jing Wei, Jian-ping Zhao, Junfeng Xia, Rui-Fen Cao, Chun-Hou Zheng:
Identification of driver genes based on gene mutational effects and network centrality. BMC Bioinform. 22-S(3): 457 (2021) - [j70]Peng Chen, Weilu Li, Sijie Yao, Chun Ma, Jun Zhang, Bing Wang, Chunhou Zheng, Chengjun Xie, Dong Liang:
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method. Neurocomputing 437: 21-30 (2021) - [j69]Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng:
A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks. Inf. Sci. 576: 374-392 (2021) - [j68]Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng:
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification. Knowl. Based Syst. 227: 107226 (2021) - [j67]Yu-Tian Wang, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni, Chun-Hou Zheng:
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features. BMC Medical Informatics Decis. Mak. 21(1): 133 (2021) - [j66]Rui Yan, Fa Zhang, Xiaosong Rao, Zhilong Lv, Jintao Li, Lingling Zhang, Shuang Liang, Yilin Li, Fei Ren, Chunhou Zheng, Jun Liang:
Richer fusion network for breast cancer classification based on multimodal data. BMC Medical Informatics Decis. Mak. 21(1): 134 (2021) - [j65]Lei Li, Zhen Gao, Yu-Tian Wang, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng, Yansen Su:
SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization. PLoS Comput. Biol. 17(7) (2021) - [j64]Lei Li, Yu-Tian Wang, Cunmei Ji, Chun-Hou Zheng, Jian-Cheng Ni, Yan-Sen Su:
GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder. PLoS Comput. Biol. 17(12) (2021) - [j63]Bing Wang, Changqing Mei, Yuanyuan Wang, Yuming Zhou, Mu-Tian Cheng, Chunhou Zheng, Lei Wang, Jun Zhang, Peng Chen, Yan Xiong:
Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 985-994 (2021) - [j62]Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng, Yan Xiong, Peng Chen, Zhiwei Ji, Bing Wang:
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1026-1034 (2021) - [j61]Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu:
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. 51(8): 3952-3963 (2021) - 2020
- [j60]Na Cheng, Menglu Li, Le Zhao, Bo Zhang, Yuhua Yang, Chun-Hou Zheng, Junfeng Xia:
Comparison and integration of computational methods for deleterious synonymous mutation prediction. Briefings Bioinform. 21(3): 970-981 (2020) - [j59]Sijia Zhang, Le Zhao, Chun-Hou Zheng, Junfeng Xia:
A feature-based approach to predict hot spots in protein-DNA binding interfaces. Briefings Bioinform. 21(3): 1038-1046 (2020) - [j58]Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Jian-Cheng Ni, Chun-Hou Zheng:
Graph regularized L2, 1-nonnegative matrix factorization for miRNA-disease association prediction. BMC Bioinform. 21(1): 61 (2020) - [j57]Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification. BMC Bioinform. 21(1): 445 (2020) - [j56]Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong:
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. 2020: 4865738:1-4865738:13 (2020) - [j55]Yingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Xiujuan Lei:
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1253-1261 (2020) - [j54]Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang:
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. IEEE J. Biomed. Health Informatics 24(6): 1823-1834 (2020) - 2019
- [j53]Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng:
NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC Bioinform. 20(1): 353:1-353:10 (2019) - [j52]Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang:
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations. BMC Bioinform. 20-S(25): 686 (2019) - [j51]Ye Wang, Changqing Mei, Yuming Zhou, Yan Wang, Chunhou Zheng, Xiao Zhen, Yan Xiong, Peng Chen, Jun Zhang, Bing Wang:
Semi-supervised prediction of protein interaction sites from unlabeled sample information. BMC Bioinform. 20-S(25): 699 (2019) - [j50]Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiang-Zhen Kong:
Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. 78: 474-480 (2019) - [j49]Qing Yan, Yun Ding, Jing-Jing Zhang, Yi Xia, Chun-Hou Zheng:
A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery. Cogn. Syst. Res. 53: 98-110 (2019) - [j48]Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng:
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data. J. Comput. Biol. 26(8): 769-781 (2019) - [j47]Lin-Wei Ge, Jun Zhang, Yi Xia, Peng Chen, Bing Wang, Chun-Hou Zheng:
Deep spatial attention hashing network for image retrieval. J. Vis. Commun. Image Represent. 63 (2019) - [j46]Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen:
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 172-182 (2019) - [j45]Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2926-2937 (2019) - 2018
- [j44]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu:
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 974-987 (2018) - 2017
- [j43]Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu:
Protein fold recognition based on sparse representation based classification. Artif. Intell. Medicine 79: 1-8 (2017) - [j42]Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li, Chun-Hou Zheng:
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm. BioData Min. 10(1): 23:1-23:17 (2017) - [j41]Jin-Xing Liu, Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Sha-Sha Wu, Junliang Shang:
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition. BMC Syst. Biol. 11(6): 63-73 (2017) - [j40]Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou:
Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. Complex. 2017: 4216797:1-4216797:11 (2017) - [j39]Pi-Jing Wei, Di Zhang, Haitao Li, Junfeng Xia, Chun-Hou Zheng:
DriverFinder: A Gene Length-Based Network Method to Identify Cancer Driver Genes. Complex. 2017: 4826206:1-4826206:10 (2017) - [j38]Chun-Hou Zheng, Wen-Juan Pei, Qing Yan, Yanwen Chong:
Pedestrian detection based on gradient and texture feature integration. Neurocomputing 228: 71-78 (2017) - [j37]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu:
A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. Neurocomputing 228: 263-269 (2017) - [j36]Jun Zhang, Chun-Hou Zheng, Yi Xia, Bing Wang, Peng Chen:
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography. Neurocomputing 240: 183-190 (2017) - [j35]Qing Yan, Yun Ding, Yi Xia, Yanwen Chong, Chunhou Zheng:
Class Probability Propagation of Supervised Information Based on Sparse Subspace Clustering for Hyperspectral Images. Remote. Sens. 9(10): 1017 (2017) - [j34]Shu-Guang Ge, Junfeng Xia, Wen Sha, Chun-Hou Zheng:
Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 14(5): 1115-1121 (2017) - 2016
- [j33]Junliang Shang, Yingxia Sun, Jin-Xing Liu, Junfeng Xia, Junying Zhang, Chun-Hou Zheng:
CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions. BMC Bioinform. 17: 214 (2016) - [j32]Pi-Jing Wei, Di Zhang, Junfeng Xia, Chun-Hou Zheng:
LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network. BMC Bioinform. 17(S-17): 221-230 (2016) - [j31]Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang:
Differentially expressed genes selection via Laplacian regularized low-rank representation method. Comput. Biol. Chem. 65: 185-192 (2016) - [j30]Chun-Hou Zheng, Wu Yang, Yanwen Chong, Junfeng Xia:
Identification of mutated driver pathways in cancer using a multi-objective optimization model. Comput. Biol. Medicine 72: 22-29 (2016) - [j29]Jun Zhang, Yi Xia, Chun-Hou Zheng, Bing Wang, Xiang Zhang, Peng Chen:
Combine multiple mass spectral similarity measures for compound identification. Int. J. Data Min. Bioinform. 15(1): 84-100 (2016) - [j28]Chun-Hou Zheng, Yi-Fu Hou, Jun Zhang:
Improved sparse representation with low-rank representation for robust face recognition. Neurocomputing 198: 114-124 (2016) - [j27]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu:
A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 392-398 (2016) - [j26]Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu:
Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1059-1067 (2016) - 2015
- [j25]Di Zhang, Rongrong Zhu, Hanqian Zhang, Chun-Hou Zheng, Junfeng Xia:
MGDB: a comprehensive database of genes involved in melanoma. Database J. Biol. Databases Curation 2015 (2015) - [j24]Shihong Yao, Shaoming Pan, Tao Wang, Chunhou Zheng, Weiming Shen, Yanwen Chong:
A new pedestrian detection method based on combined HOG and LSS features. Neurocomputing 151: 1006-1014 (2015) - [j23]Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai:
RPCA-Based Tumor Classification Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 964-970 (2015) - 2014
- [j22]Hulin Kuang, Yanwen Chong, Qingquan Li, Chunhou Zheng:
MutualCascade method for pedestrian detection. Neurocomputing 137: 127-135 (2014) - 2013
- [j21]Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu:
Robust PCA based method for discovering differentially expressed genes. BMC Bioinform. 14(S-8): S3 (2013) - [j20]Yan Cui, Chun-Hou Zheng, Jian Yang, Wen Sha:
Sparse maximum margin discriminant analysis for feature extraction and gene selection on gene expression data. Comput. Biol. Medicine 43(7): 933-941 (2013) - [j19]Yanwen Chong, Wu Chen, Zhilin Li, William H. K. Lam, Chunhou Zheng, Qingquan Li:
Integrated real-time vision-based preceding vehicle detection in urban roads. Neurocomputing 116: 144-149 (2013) - 2012
- [j18]Jin-Xing Liu, Chun-Hou Zheng, Yong Xu:
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition. Comput. Biol. Medicine 42(5): 582-589 (2012) - [j17]Zhan-Li Sun, Chun-Hou Zheng, Qingwei Gao, Jun Zhang, Dexiang Zhang:
Tumor Classification Using Eigengene-Based Classifier Committee Learning Algorithm. IEEE Signal Process. Lett. 19(8): 455-458 (2012) - 2011
- [j16]Jun Zhang, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang:
Discovering the transcriptional modules using microarray data by penalized matrix decomposition. Comput. Biol. Medicine 41(11): 1041-1050 (2011) - [j15]Chun-Hou Zheng, Yanwen Chong, Hong-Qiang Wang:
Gene selection using independent variable group analysis for tumor classification. Neural Comput. Appl. 20(2): 161-170 (2011) - [j14]Chun-Hou Zheng, Lei Zhang, To-Yee Ng, Simon Chi-Keung Shiu, De-Shuang Huang:
Metasample-Based Sparse Representation for Tumor Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1273-1282 (2011) - [j13]Chun-Hou Zheng, Lei Zhang, Vincent To-Yee Ng, Simon Chi-Keung Shiu, De-Shuang Huang:
Molecular Pattern Discovery Based on Penalized Matrix Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1592-1603 (2011) - 2010
- [j12]Bo Li, Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Kyungsook Han:
Gene expression data classification using locally linear discriminant embedding. Comput. Biol. Medicine 40(10): 802-810 (2010) - 2009
- [j11]Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, Xiangzhen Kong:
Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection. IEEE Trans. Inf. Technol. Biomed. 13(4): 599-607 (2009) - 2008
- [j10]Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, Xing-Ming Zhao:
Gene Expression Data Classification Using Consensus Independent Component Analysis. Genom. Proteom. Bioinform. 6(2): 74-82 (2008) - [j9]Bo Li, Chun-Hou Zheng, De-Shuang Huang:
Locally linear discriminant embedding: An efficient method for face recognition. Pattern Recognit. 41(12): 3813-3821 (2008) - 2007
- [j8]Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun:
MISEP Method for Postnonlinear Blind Source Separation. Neural Comput. 19(9): 2557-2578 (2007) - 2006
- [j7]De-Shuang Huang, Chun-Hou Zheng:
Independent component analysis-based penalized discriminant method for tumor classification using gene expression data. Bioinform. 22(15): 1855-1862 (2006) - [j6]Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun:
Noise removal using a novel non-negative sparse coding shrinkage technique. Neurocomputing 69(7-9): 874-877 (2006) - [j5]Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, Tat-Ming Lok:
Nonnegative independent component analysis based on minimizing mutual information technique. Neurocomputing 69(7-9): 878-883 (2006) - [j4]Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang:
Optimal selection of time lags for TDSEP based on genetic algorithm. Neurocomputing 69(7-9): 884-887 (2006) - [j3]Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Zheng:
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network. Neurocomputing 69(13-15): 1782-1786 (2006) - [j2]Chun-Hou Zheng, De-Shuang Huang, Li Shang:
Feature selection in independent component subspace for microarray data classification. Neurocomputing 69(16-18): 2407-2410 (2006) - 2005
- [j1]Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang:
Using batch algorithm for kernel blind source separation. Neurocomputing 69(1-3): 273-278 (2005)
Conference and Workshop Papers
- 2024
- [c96]Cheng Wang, Ya-Jie Zhang, Xin Xia, Yan-Sen Su, Chun-Hou Zheng, Qing-Wen Wu:
A Retrieval-Based Molecular Style Transformation Optimization Model. ICIC (LNBI 1) 2024: 195-206 - [c95]Jing Jing, Ying-Lian Gao, Yue Gao, Dao-Hui Ge, Chun-Hou Zheng, Jin-Xing Liu:
stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics. ICIC (LNBI 1) 2024: 321-331 - [c94]Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng, Jin-Xing Liu:
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics. ISBRA (1) 2024: 418-426 - 2023
- [c93]Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu:
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. BIBM 2023: 233-236 - [c92]Sining Song, Demin Liu, Haiyun Wang, Jianping Zhao, Chunhou Zheng, Yansen Su:
scAEQN: A Batch Correction Joint Dimension Reduction Method on scRNA-seq Data. BIC 2023: 344-350 - [c91]Jiliang Xu, Chungui Xu, Ruifen Cao, Yonghui He, Yannan Bin, Chun-Hou Zheng:
Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Prediction. ICIC (3) 2023: 67-76 - [c90]Pi-Jing Wei, Shu-Li Zhou, Rui-Fen Cao, Yansen Su, Chun-Hou Zheng:
Prediction of Cancer Driver Genes Based on Pyramidal Dynamic Mapping Algorithm. ICIC (3) 2023: 77-86 - [c89]Yi-Ming Wang, Xiang-Zhen Kong, Boxin Guan, Chun-Hou Zheng, Ying-Lian Gao:
Identify Complex Higher-Order Associations Between Alzheimer's Disease Genes and Imaging Markers Through Improved Adaptive Sparse Multi-view Canonical Correlation Analysis. ICIC (3) 2023: 324-334 - [c88]Ruifen Cao, Zijue Li, Pi-Jing Wei, Ye Tian, Chun-Hou Zheng:
A Hybrid Tourism Recommendation System Based on Multi-objective Evolutionary Algorithm and Re-ranking. ICIC (5) 2023: 363-372 - [c87]YaTe Liu, Chun-Hou Zheng, Jun Zhang, Bing Wang, Peng Chen:
Collaborative Encoder for Accurate Inversion of Real Face Image. ICIC (2) 2023: 498-505 - 2022
- [c86]Cui-Na Jiao, Chun-Hou Zheng, Jin-Xing Liu, Feng Li:
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors. BIBM 2022: 1034-1039 - [c85]Ruifen Cao, Qingsong Gu, Dayu Tan, Pi-Jing Wei, Chunhou Zheng:
Prediction of microsatellite instability of colorectal cancer using multi-scale pathological images based on deep learning. BIBM 2022: 1461-1466 - [c84]Zhi-Yuan Li, Ying-Lian Gao, Zhen-Xin Niu, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu:
An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification. BIBM 2022: 2088-2094 - [c83]Shenqing Wang, Ruifen Cao, Ye Tian, Chunhou Zheng:
Hybrid Tourism Recommendation System: A Multi-Objective Perspective. CEC 2022: 1-8 - [c82]Xiaoguang Li, Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang:
Predicting Drug-Disease Associations by Self-topological Generalized Matrix Factorization with Neighborhood Constraints. ICIC (2) 2022: 138-149 - [c81]Rong Qi, Chun-Hou Zheng, Cunmei Ji, Ning Yu, Jian-Cheng Ni, Yu-Tian Wang:
Cell Classification Based on Stacked Autoencoder for Single-Cell RNA Sequencing. ICIC (2) 2022: 245-259 - [c80]Cunmei Ji, Zhi-Hao Liu, Li-Juan Qiao, Yu-Tian Wang, Chun-Hou Zheng:
A Unified Graph Attention Network Based Framework for Inferring circRNA-Disease Associations. ICIC (3) 2022: 639-653 - [c79]Xinghui Zhang, Chunhou Zheng, Peng Chen, Jun Zhang, Bing Wang:
A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction. ICIC (1) 2022: 753-762 - [c78]Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang:
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA 2022: 126-137 - 2021
- [c77]Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu:
Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. BIBM 2021: 418-423 - [c76]Rui Yan, Jintao Li, S. Kevin Zhou, Zhilong Lv, Xueyuan Zhang, Xiaosong Rao, Chunhou Zheng, Fei Ren, Fa Zhang:
Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification. ICIC (3) 2021: 198-207 - [c75]Jian-ping Zhao, Hai-Yun Wang, Chun-Hou Zheng:
SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq Data. ICIC (3) 2021: 327-335 - [c74]Qi Guan, Jianping Zhao, Chunhou Zheng:
SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data. ICIC (3) 2021: 490-498 - [c73]Ming-Wen Zhang, Yu-Tian Wang, Zhen Gao, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng:
RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association. ICIC (3) 2021: 522-535 - [c72]Zhen-Wei Zhang, Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, Sumin Qi:
MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-Disease Association. ICIC (3) 2021: 536-548 - [c71]Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang:
Predicting Drug-Disease Associations Based on Network Consistency Projection. ICIC (3) 2021: 591-602 - [c70]Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. ISBRA 2021: 3-10 - 2020
- [c69]Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong:
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. BIBM 2020: 121-125 - [c68]Rui Yan, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Jinjin Dou, Xiaowen Wang, Fei Ren, Fa Zhang:
NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images. BIBM 2020: 865-870 - [c67]Yan Cui, Huacheng Gao, Rui Zhang, Yuanyuan Lu, Yuan Xue, Chun-Hou Zheng:
A Novel Clustering-Framework of Gene Expression Data Based on the Combination Between Deep Learning and Self-organizing Map. ICIC (2) 2020: 3-13 - [c66]Zhonglie Wang, Rui Yan, Jie Liu, Yudong Liu, Fei Ren, Chunhou Zheng, Fa Zhang:
An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data. ICIC (3) 2020: 247-257 - [c65]Bo Zhang, Rui-Fen Cao, Jing Wang, Chunhou Zheng:
Discovery of Cancer Subtypes Based on Stacked Autoencoder. ICIC (3) 2020: 447-454 - [c64]Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng:
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification. ICIC (2) 2020: 537-545 - 2019
- [c63]Xin Ding, Jun-Feng Xia, Yutian Wang, Jing Wang, Chun-Hou Zheng:
Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations. ICIC (2) 2019: 247-255 - [c62]Yuan-Yuan Zhang, Chao Yang, Jing Wang, Chun-Hou Zheng:
A Link and Weight-Based Ensemble Clustering for Patient Stratification. ICIC (2) 2019: 256-264 - [c61]Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng:
HGMDA: HyperGraph for Predicting MiRNA-Disease Association. ICIC (2) 2019: 265-271 - [c60]Ying Hui, Pi-Jing Wei, Jun-Feng Xia, Hong-Bo Wang, Jing Wang, Chun-Hou Zheng:
Discovering Driver Mutation Profiles in Cancer with a Local Centrality Score. ICIC (2) 2019: 272-282 - [c59]Rui Yan, Fei Ren, Xiaosong Rao, Baorong Shi, Tiange Xiang, Lingling Zhang, Yudong Liu, Jun Liang, Chunhou Zheng, Fa Zhang:
Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method. ICIC (1) 2019: 460-469 - 2018
- [c58]Rui Yan, Fei Ren, Zihao Wang, Lihua Wang, Yubo Ren, Yudong Liu, Xiaosong Rao, Chunhou Zheng, Fa Zhang:
A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification. BIBM 2018: 957-962 - [c57]Chen Chen, Jing-Jing Zhang, Chun-Hou Zheng, Qing Yan, Li-Na Xun:
Classification of Hyperspectral Data Using a Multi-Channel Convolutional Neural Network. ICIC (3) 2018: 81-92 - [c56]Yuanyuan Li, Jingjing Zhang, Chun-Hou Zheng, Qing Yan, Li-Na Xun:
CDC-MRF for Hyperspectral Data Classification. ICIC (3) 2018: 278-283 - [c55]Zhi Yang, Feng-Lin Du, Yi Xia, Chun-Hou Zheng, Jun Zhang:
Automatic License Plate Recognition Based on Faster R-CNN Algorithm. ICIC (3) 2018: 319-326 - [c54]Yan-Zhe Di, Peng Chen, Chun-Hou Zheng:
Similarity-Based Integrated Method for Predicting Drug-Disease Interactions. ICIC (2) 2018: 395-400 - [c53]Chang Liu, Junliang Shang, Xuhui Zhu, Yan Sun, Jin-Xing Liu, Chun-Hou Zheng, Junying Zhang:
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search. ICIC (2) 2018: 470-482 - [c52]Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng:
An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features. ISBRA 2018: 26-37 - 2017
- [c51]Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Ling-Yun Dai:
Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes. BIBM 2017: 626-629 - [c50]Na Yu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu:
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. BIBM 2017: 1752-1756 - [c49]Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang:
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM 2017: 1900-1905 - [c48]Qing Yan, Yun Ding, Jing-Jing Zhang, Li-Na Xun, Chun-Hou Zheng:
Similarity Matrix Construction Methods in Sparse Subspace Clustering Algorithm for Hyperspectral Imagery Clustering. ICIC (1) 2017: 695-700 - 2016
- [c47]Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Yao Lu:
A p-norm singular value decomposition method for robust tumor clustering. BIBM 2016: 600-605 - [c46]Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Sha-Sha Wu, Junliang Shang:
L21-iPaD: An efficient method for drug-pathway association pairs inference. BIBM 2016: 664-669 - [c45]Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu:
Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. BIBM 2016: 1253-1258 - [c44]Pi-Jing Wei, Di Zhang, Chun-Hou Zheng, Junfeng Xia:
Cancer genes discovery based on integtating transcriptomic data and the impact of gene length. BIBM 2016: 1265-1268 - [c43]Jin-Xing Liu, Xiangzhen Kong, Chun-Hou Zheng, Junliang Shang, Wei Zhang:
Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. BIBM 2016: 1822-1827 - [c42]Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Hou Zheng, Yong Du:
Differentially expressed genes selection via Truncated Nuclear Norm Regularization. BIBM 2016: 1851-1855 - [c41]Yun Ding, Qing Yan, Jing-Jing Zhang, Li-Na Xun, Chun-Hou Zheng:
Leaf Clustering Based on Sparse Subspace Clustering. ICIC (2) 2016: 55-66 - [c40]Shu-Guang Ge, Junfeng Xia, Pi-Jing Wei, Chun-Hou Zheng:
Srrr-cluster: Using Sparse Reduced-Rank Regression to Optimize iCluster. ICIC (3) 2016: 99-106 - [c39]Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang:
Gene Extraction Based on Sparse Singular Value Decomposition. ICIC (1) 2016: 285-293 - [c38]Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data. ICIC (2) 2016: 290-299 - [c37]Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Dong Wang:
A Simple Review of Sparse Principal Components Analysis. ICIC (2) 2016: 374-383 - [c36]Binglei Wang, Xingxing Yu, Ran Wei, Chenxing Yuan, Xiaoyu Li, Chun-Hou Zheng:
System Prediction of Drug-Drug Interactions Through the Integration of Drug Phenotypic, Therapeutic, Structural, and Genomic Similarities. ICIC (1) 2016: 377-385 - [c35]Zhen Sun, Jun Zhang, Chun-Hou Zheng, Bing Wang, Peng Chen:
Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm. ICIC (1) 2016: 742-749 - 2015
- [c34]Di Zhang, Qingbao Wang, Rongrong Zhu, Haitao Li, Chun-Hou Zheng, Junfeng Xia:
Discovery of Ovarian Cancer Candidate Genes Using Protein Interaction Information. ICIC (2) 2015: 467-472 - [c33]Zhi-Shui Zhang, Li-Li Cao, Jun Zhang, Peng Chen, Chun-Hou Zheng:
Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning. ICIC (2) 2015: 520-529 - [c32]Wu Yang, Junfeng Xia, Yan Zhang, Chun-Hou Zheng:
Multi-objective Optimization Method for Identifying Mutated Driver Pathways in Cancer. ICIC (2) 2015: 570-576 - [c31]Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Yuxia Lei:
A Two-Stage Sparse Selection Method for Extracting Characteristic Genes. ICIC (2) 2015: 577-588 - [c30]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang:
Semi-supervised Feature Extraction for RNA-Seq Data Analysis. ICIC (3) 2015: 679-685 - [c29]Ran Wei, Haitao Li, Yanjun Wang, Chun-Hou Zheng, Junfeng Xia:
Identification of Colorectal Cancer Candidate Genes Based on Subnetwork Extraction Algorithm. ICIC (3) 2015: 706-712 - 2014
- [c28]Fen Ye, Junfeng Xia, Yanwen Chong, Yan Zhang, Chun-Hou Zheng:
Tumor Clustering Using Independent Component Analysis and Adaptive Affinity Propagation. ICIC (3) 2014: 34-40 - [c27]Chao Yan, Haitao Li, Ai-Xin Guo, Wen Sha, Chun-Hou Zheng:
Simulated Annealing Based Algorithm for Mutated Driver Pathways Detecting. ICIC (2) 2014: 658-663 - [c26]Wen-Juan Pei, Yu-Lan Zhang, Yan Zhang, Chun-Hou Zheng:
Pedestrian Detection Based on HOG and LBP. ICIC (1) 2014: 715-720 - 2013
- [c25]Lin Yuan, Wen Sha, Jun Zhang, Chun-Hou Zheng, Junfeng Xia:
Differential coexpression analysis in gene modules level and its application to type 2 diabetes. BIBM 2013: 193-196 - [c24]Huan Wu, Yun-Qiang Di, Chun-Hou Zheng, Junfeng Xia:
Prediction of cytochrome P450 inhibition using ensemble of extreme learning machine. BIBM 2013: 342-344 - [c23]Chun-Hou Zheng, Wen Sha, Zhan-Li Sun, Jun Zhang:
Inferring Transcriptional Modules from Microarray and ChIP-Chip Data Using Penalized Matrix Decomposition. ICIC (2) 2013: 252-259 - [c22]Yan Cui, Chun-Hou Zheng, Jian Yang:
Dimensionality Reduction for Microarray Data Using Local Mean Based Discriminant Analysis. ICIC (2) 2013: 267-276 - [c21]Yi-Fu Hou, Wen-Juan Pei, Yanwen Chong, Chun-Hou Zheng:
Eigenface-Based Sparse Representation for Face Recognition. ICIC (2) 2013: 457-465 - 2012
- [c20]Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu:
Identifying Characteristic Genes Based on Robust Principal Component Analysis. ICIC (3) 2012: 174-179 - [c19]Yanwen Chong, Qingquan Li, Hulin Kuang, Chun-Hou Zheng:
MutualCascade Method for Pedestrian Detection. ICIC (3) 2012: 280-285 - [c18]Yanwen Chong, Qingquan Li, Hulin Kuang, Chun-Hou Zheng:
Float Cascade Method for Pedestrian Detection. ICIC (3) 2012: 313-320 - [c17]Yanwen Chong, Rong Chen, Qingquan Li, Chun-Hou Zheng:
Particle Filter Based on Multiple Cues Fusion for Pedestrian Tracking. ICIC (3) 2012: 321-327 - [c16]Jun Zhang, Qingwei Gao, Chunhou Zheng:
Retention Index System Transformation Method Incorporated Optimal Molecular Descriptors through Particle Swarm Optimization. ICIC (2) 2012: 366-374 - 2011
- [c15]Yan Cui, Jian Yang, Chun-Hou Zheng:
Sparse Maximum Margin Discriminant Analysis for Gene Selection. ICIC (3) 2011: 649-656 - 2010
- [c14]Chun-Hou Zheng, Lei Zhang, To-Yee Ng, Simon Chi-Keung Shiu, Shu-Lin Wang:
Inferring the Transcriptional Modules Using Penalized Matrix Decomposition. ICIC (2) 2010: 35-41 - 2009
- [c13]Chun-Hou Zheng, Feng-Ling Wu, Bo Li, Juan Wang:
Constrained Maximum Variance Mapping for Tumor Classification. ICIC (1) 2009: 102-111 - [c12]Chun-Hou Zheng, Ping Zhang, Lei Zhang, Xinxin Liu, Ju Han:
Gene expression data classification based on non-negative matrix factorization. IJCNN 2009: 3542-3547 - 2008
- [c11]Xiangzhen Kong, Chun-Hou Zheng, Yuqiang Wu, Yutian Wang:
Improving Tumor Clustering Based on Gene Selection. ICIC (1) 2008: 39-46 - [c10]Qing-Kui Man, Chun-Hou Zheng, Xiaofeng Wang, Feng-Yan Lin:
Recognition of Plant Leaves Using Support Vector Machine. ICIC (3) 2008: 192-199 - [c9]Ping Zhang, Chun-Hou Zheng, Bo Li, Chang-Gang Wen:
Tumor Classification Using Non-negative Matrix Factorization. ICIC (3) 2008: 236-243 - [c8]Feng-Yan Lin, Chun-Hou Zheng, Xiaofeng Wang, Qing-Kui Man:
Multiple Classification of Plant Leaves Based on Gabor Transform and LBP Operator. ICIC (3) 2008: 432-439 - [c7]Chun-Hou Zheng, Bo Li, Lei Zhang, Hong-Qiang Wang:
Locally Linear Discriminant Embedding for Tumor Classification. ICIC (2) 2008: 1093-1100 - [c6]Chun-Hou Zheng, Lei Zhang, Bo Li, Min Xu:
Gene Expression Data Classification Using Independent Variable Group Analysis. ISNN (2) 2008: 243-252 - 2007
- [c5]Xiangzhen Kong, Chun-Hou Zheng, Yuqiang Wu, Li Shang:
Molecular Cancer Class Discovery Using Non-negative Matrix Factorization with Sparseness Constraint. ICIC (1) 2007: 792-802 - 2006
- [c4]Zhi-Kai Huang, Chun-Hou Zheng, Ji-Xiang Du, Yuanyuan Wan:
Bark Classification Based on Textural Features Using Artificial Neural Networks. ISNN (2) 2006: 355-360 - [c3]Chun-Hou Zheng, Zhi-Kai Huang, Michael R. Lyu, Tat-Ming Lok:
Nonlinear Blind Source Separation Using Hybrid Neural Networks. ISNN (1) 2006: 1165-1170 - 2005
- [c2]Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Shang:
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure. ISNN (2) 2005: 478-483 - [c1]Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun:
Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model. ISNN (2) 2005: 807-812
Informal and Other Publications
- 2024
- [i3]Jin-Xing Liu, Wen-Yu Xi, Ling-Yun Dai, Chun-Hou Zheng, Ying-Lian Gao:
Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction. CoRR abs/2405.02354 (2024) - 2022
- [i2]Xin Xia, Yansen Su, Chunhou Zheng, Xiangxiang Zeng:
Molecule optimization via multi-objective evolutionary in implicit chemical space. CoRR abs/2212.08826 (2022) - 2019
- [i1]Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR abs/1905.11837 (2019)
Coauthor Index
Ruifen Cao
aka: Rui-Fen Cao
aka: Rui-Fen Cao
De-Shuang Huang
aka: Deshuang Huang
aka: Deshuang Huang
[j137] [j135] [j134] [j130] [j129] [j127] [j121] [j116] [j115] [j114] [j109] [j106] [j105] [j103] [j100] [j97] [j93] [j89] [j86] [j81] [j80] [j79] [j78] [j68] [j61] [j57] [j56] [j55] [j54] [j53] [j52] [j50] [j48] [j46] [j45] [j44] [j42] [j41] [j40] [j37] [j33] [j31] [j27] [j26] [j23] [j21] [j18] [j16] [c95] [c94] [c93] [c86] [c84] [c78] [c77] [c70] [c69] [c64] [c53] [c52] [c51] [c50] [c49] [c47] [c46] [c45] [c43] [c42] [c39] [c38] [c37] [c31] [c30] [c20] [i3] [i1]
Yansen Su
aka: Yan-Sen Su
aka: Yan-Sen Su
Junfeng Xia
aka: Jun-Feng Xia
aka: Jun-Feng Xia
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