Chunhou Zheng

发表

Predicting miRNA-Disease Associations Based on Heterogeneous Graph Attention Networks

Yansen Su, Cunmei Ji, Yutian Wang, 2021, Frontiers in Genetics.

Breast cancer histopathological image classification using a hybrid deep neural network.

Fa Zhang, Fei Ren, Xiaosong Rao, 2020, Methods.

MDSCMF: Matrix Decomposition and Similarity-Constrained Matrix Factorization for miRNA–Disease Association Prediction

Yutian Wang, Jiancheng Ni, Chunhou Zheng, 2022, Genes.

NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides

Chunhou Zheng, Yannan Bin, Shouzhi Chen, 2022, Briefings Bioinform..

scSSA: A clustering method for single cell RNA-seq data based on semi-supervised autoencoder.

Chunhou Zheng, Jianping Zhao, Tong Hou, 2022, Methods.

Divide-and-Attention Network for HE-Stained Pathological Image Classification

Fa Zhang, Rui Yan, Chunhou Zheng, 2022, Biology.

Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images

Fa Zhang, Fei Ren, Xiaosong Rao, 2022, Sensors.

A Heuristic Algorithm for Identifying Molecular Signatures in Cancer

Xingyi Zhang, Yansen Su, Chunhou Zheng, 2020, IEEE Transactions on NanoBioscience.

scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data

Chunhou Zheng, Hai-yun Wang, Jian-ping Zhao, 2022, PLoS Comput. Biol..

SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder

Yansen Su, Chunhou Zheng, Hai-yun Wang, 2021, Frontiers in Genetics.

Molecule optimization via multi-objective evolutionary in implicit chemical space

Xiangxiang Zeng, Chunhou Zheng, Yansen Su, 2022, ArXiv.

A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks

Xiangxiang Zeng, Xingyi Zhang, Yansen Su, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis

Yan Wang, Bing Wang, Peng Chen, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Predicting Drug-Disease Associations Based on Network Consistency Projection

Fa Zhang, Chun-Hou Zheng, Rui Yan, 2021, ICIC.

A two-step ensemble learning for predicting protein hot spot residues from whole protein sequence

Peng Chen, Chunhou Zheng, Bing Wang, 2022, Amino Acids.

Imbalance Data Processing Strategy for Protein Interaction Sites Prediction

Bing Wang, Chun-Hou Zheng, Yan Xiong, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images

Jintao Li, Zhilong Lv, Chunhou Zheng, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification

Fei Ren, Rui Yan, Fa Zhang, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Prediction of circRNA-Disease Associations Based on the Combination of Multi-Head Graph Attention Network and Graph Convolutional Network

Pi-Jing Wei, Junfeng Xia, Chunhou Zheng, 2022, Biomolecules.

DLFF-ACP: prediction of ACPs based on deep learning and multi-view features fusion

Chunhou Zheng, Yannan Bin, Ruifen Cao, 2021, PeerJ.

Semi-supervised prediction of protein interaction sites from unlabeled sample information

Ye Wang, Yan Wang, Jun Zhang, 2019, BMC Bioinformatics.

Prediction of Protein Hotspots from Whole Protein Sequences by a Random Projection Ensemble System

Bing Wang, Peng Chen, Nian Wang, 2017, International journal of molecular sciences.

Promoter Prediction in Nannochloropsis Based on Densely Connected Convolutional Neural Networks.

Pi-Jing Wei, Yansen Su, Chunhou Zheng, 2022, Methods.

A Cascade Graph Convolutional Network for Predicting Protein–Ligand Binding Affinity

Peng Chen, H.-B. Shen, Chunhou Zheng, 2021, International journal of molecular sciences.

GATNNCDA: A Method Based on Graph Attention Network and Multi-Layer Neural Network for Predicting circRNA-Disease Associations

Cunmei Ji, Yutian Wang, Jiancheng Ni, 2021, International journal of molecular sciences.

Hybrid Tourism Recommendation System: A Multi-Objective Perspective

Ye Tian, Chunhou Zheng, Ruifen Cao, 2022, 2022 IEEE Congress on Evolutionary Computation (CEC).

Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison

Xiangxiang Zeng, Yuansheng Liu, Chunhou Zheng, 2022, Briefings Bioinform..

Richer fusion network for breast cancer classification based on multimodal data

Zhilong Lv, Fa Zhang, Xiaosong Rao, 2021, BMC Medical Informatics and Decision Making.

Prediction of microsatellite instability of colorectal cancer using multi-scale pathological images based on deep learning

Pi-Jing Wei, Chunhou Zheng, Dayu Tan, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

CapsNetYY1: identifying YY1-mediated chromatin loops based on a capsule network architecture

Chunhou Zheng, Jian-ping Zhao, Zhi-min Zhang, 2023, BMC Genomics.

Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method

Jun Liang, Lingling Zhang, Rui Yan, 2019, ICIC.

Clinical Target Volume Auto-Segmentation of Esophageal Cancer for Radiotherapy After Radical Surgery Based on Deep Learning

X. Pei, Chunhou Zheng, Ning Ge, 2021, Technology in cancer research & treatment.

Diversity-Connected Graph Convolutional Network for Hyperspectral Image Classification

Yanwen Chong, Chunhou Zheng, S. Pan, 2023, IEEE Transactions on Geoscience and Remote Sensing.

scSSA: A clustering method for single cell RNA-seq data based on semi-supervised autoencoder.

Chunhou Zheng, Tong Hou, Jian-ping Zhao, 2022, Methods.

scAMAC: self-supervised clustering of scRNA-seq data based on adaptive multi-scale autoencoder

Chunhou Zheng, Dayu Tan, Yansen Su, 2024, Briefings in bioinformatics.

Sparse and Hierarchical Transformer for Survival Analysis on Whole Slide Images

Fa Zhang, Rui Yan, Chunhou Zheng, 2023, IEEE Journal of Biomedical and Health Informatics.

PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation

Chunhou Zheng, Yannan Bin, Shouzhi Chen, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics.