default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5176-6880")
— TianJin Polytechnic University, School of Electrical Engineering and Automation, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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) - [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 - [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) - 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) - [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
- [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) - [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 - [i2]Xin Xia, Yansen Su, Chunhou Zheng, Xiangxiang Zeng:
Molecule optimization via multi-objective evolutionary in implicit chemical space. CoRR abs/2212.08826 (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]