Chunhou Zheng

65 papers B 3Journal 34Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Leveraging Adaptive Evolutionary Optimization for Drug Molecular Design Involving Many Properties.
Big Data Min. Anal.
Xin Xia, Xiangxiang Zeng, Xing-yi Zhang, Chunhou Zheng, Ya-Jie Zhang, Yansen Su
2025 J jnl
An efficient and lightweight adaptive network for three-dimensional medical image segmentation.
Eng. Appl. Artif. Intell.
Dayu Tan, Manman Shi, Yansen Su, Xin Peng, Chunhou Zheng, Kaixun He, Weimin Zhong
2025 — conf
Contrastive Learning on Heterogeneous Graphs for Oligopeptide-Disease Prediction.
BIBM
Dayu Tan, Jing Chen, Xiaoping Zhou, Yansen Su, Kanglin Wang, Chunhou Zheng
2025 — conf
DCA-Enhancer: A Dual-Scale Convolutional Attention Network for Accurate Enhancer Identification and Strength Prediction.
ICIC (25)
Haitao Li, Yue Jia, Li Dong, Yansen Su, Chunhou Zheng
2025 J jnl
Performer: A High-Performance Global-Local Model-Augmented With Dual Network Interaction Mechanism.
IEEE Trans. Cogn. Dev. Syst.
Dayu Tan, Linfeng Hua, Rui Hao, Qi Xu, Yansen Su, Chunhou Zheng, Weimin Zhong
2025 — conf
SPF-FS: A Self-Paced Framework Fusing Feature Selection and Clustering with Prior Knowledge for scRNA-Seq Data.
BIBM
Chuanxin Liu, Yutian Wang, Zongpei Ma, Cunmei Ji, Zongqiang Liu, Chunhou Zheng
2025 J jnl
Small object detection in UAV imagery based on channel-spatial fusion cross attention.
Signal Image Video Process.
Jianlong Li, Chunhou Zheng, Peng Chen, Jun Zhang, Bing Wang
2025 — conf
Spatial Transcriptomics Domain Identification Algorithm Based on Multi-scale Contrastive Learning.
ICIC (25)
Keyang Xiao, Jing Wang, Delei Ke, Chunhou Zheng
2025 — conf
TBHF-Unet: Medical Image Segmentation Network Based on Three-Branch Hierarchical Fusion.
BIBM
Dayu Tan, Zhenpeng Xu, Tianhao Liu, Yansen Su, Chunhou Zheng
2025 — conf
WMCTCF: A Wavelet and Multi-scale Convolution Based Transformer Cross-Modal Framework for Early Diagnosis of Alzheimer's Disease.
ICIC (27)
Shang Wang, Ling Wang, Yunyi Qin, Donglin Xie, Jin-Xing Liu, Chunhou Zheng, Lili Han, Xinchun Cui
2025 — conf
sc3M: Multi-Level Graph Contrastive Learning with Min-Max Principle for Clustering scRNA-Seq Data.
BIBM
Zongpei Ma, Cunmei Ji, Chuanxin Liu, Haoze Li, Yutian Wang, Chunhou Zheng
2025 — conf
scAFC: Adaptive Fusion Clustering of Single-Cell RNA-seq Data Through Autoencoder and Graph Attention Networks.
ICIC (26)
Cunmei Ji, Zhaomei Li, Yutian Wang, Ke Gao, Zongpei Ma, Chunhou Zheng
2024 — conf
A Multi-Scale Feature and Dual Self-Attention Mechanism for Enhanced Alzheimer's Disease Classification.
BIBM
Jinfeng Wu, Xiaoshuang Zhang, Yaozu Li, Yueheng Zhang, Jinxing Liu, Chunhou Zheng, Pingsheng Wang, Xinchun Cui
2024 J jnl
Adaptive space search-based molecular evolution optimization algorithm.
Bioinform.
Fei Wang, Xianglong Cheng, Xin Xia, Chunhou Zheng, Yansen Su
2024 — conf
DAMNet: A Network Based on Dual Attention and Multi-Resolution Inputs for the Segmentation of Thoracic and Abdominal Organs.
BIBM
Ruifen Cao, Zeyu Kai, Qi Hu, Yun Ding, Pi-Jing Wei, Chunhou Zheng, Dayu Tan
2024 — conf
DAResNet-ViT: A Novel Hybrid Network for the Early Diagnosis of Alzheimer's Disease Using Multi-View sMRI and Multimodal Analysis.
BIBM
Yaozu Li, Donglin Xie, Jin-Xing Liu, Chunhou Zheng, Xinchun Cui
2024 J jnl
Evolutionary Multiobjective Molecule Optimization in an Implicit Chemical Space.
J. Chem. Inf. Model.
Xin Xia, Yiping Liu, Chunhou Zheng, Xingyi Zhang, Qingwen Wu, Xin Gao, Xiangxiang Zeng, Yansen Su
2024 B conf
FPRes-Net: Feature Pyramid-Based Residual Network for Alzheimer's Disease Diagnosis.
SMC
Yueheng Zhang, Xiaoshuang Zhang, Yaozu Li, Jinfeng Wu, Jin-Xing Liu, Chunhou Zheng, Xinchun Cui
2024 — conf
Face Swapping via Reverse Contrastive Learning and Explicit Identity-Attribute Disentanglement.
ICIC (12)
Tao Wang, Chunhou Zheng
2024 J jnl
Large-Scale Data-Driven Optimization in Deep Modeling With an Intelligent Decision-Making Mechanism.
IEEE Trans. Cybern.
Dayu Tan, Yansen Su, Xin Peng, Hongtian Chen, Chunhou Zheng, Xingyi Zhang, Weimin Zhong
2024 J jnl
Using Multi-Encoder Semi-Implicit Graph Variational Autoencoder to Analyze Single-Cell RNA Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shengwen Tian, Cunmei Ji, Jiancheng Ni, Yutian Wang, Chunhou Zheng
2024 J jnl
scAMAC: self-supervised clustering of scRNA-seq data based on adaptive multi-scale autoencoder.
Briefings Bioinform.
Dayu Tan, Cheng Yang, Jing Wang, Yansen Su, Chunhou Zheng
2023 J jnl
CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images.
Sensors
Ruifen Cao, Long Ning, Chao Zhou, Pi-Jing Wei, Yun Ding, Dayu Tan, Chunhou Zheng
2023 — conf
scAEQN: A Batch Correction Joint Dimension Reduction Method on scRNA-seq Data.
BIC
Sining Song, Demin Liu, Haiyun Wang, Jianping Zhao, Chunhou Zheng, Yansen Su
2023 J jnl
scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data.
BMC Bioinform.
Zile Wang, Haiyun Wang, Jianping Zhao, Chunhou Zheng
2022 J jnl
A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hao Jiang, Fei Zhan, Congtao Wang, Jianfeng Qiu, Yansen Su, Chunhou Zheng, Xingyi Zhang, Xiangxiang Zeng
2022 J jnl
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cunmei Ji, Yutian Wang, Zhen Gao, Lei Li, Jiancheng Ni, Chunhou Zheng
2022 — conf
A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction.
ICIC (1)
Xinghui Zhang, Chunhou Zheng, Peng Chen, Jun Zhang, Bing Wang
2022 J jnl
Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison.
Briefings Bioinform.
Yansen Su, Minglu Wang, Pengpeng Wang, Chunhou Zheng, Yuansheng Liu, Xiangxiang Zeng
2022 J jnl
Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qing-Wen Wu, Rui-Fen Cao, Jun-Feng Xia, Jian-Cheng Ni, Chunhou Zheng, Yan-Sen Su
2022 B conf
Hybrid Tourism Recommendation System: A Multi-Objective Perspective.
CEC
Shenqing Wang, Ruifen Cao, Ye Tian, Chunhou Zheng
2022 J jnl
Molecule optimization via multi-objective evolutionary in implicit chemical space.
CoRR
Xin Xia, Yansen Su, Chunhou Zheng, Xiangxiang Zeng
2022 J jnl
NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides.
Briefings Bioinform.
Shouzhi Chen, Qing Li, Jianping Zhao, Yannan Bin, Chunhou Zheng
2022 J jnl
Nuclei-Guided Network for Breast Cancer Grading in HE-Stained Pathological Images.
Sensors
Rui Yan, Fei Ren, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Fa Zhang
2022 — conf
Predicting Drug-Disease Associations by Self-topological Generalized Matrix Factorization with Neighborhood Constraints.
ICIC (2)
Xiaoguang Li, Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang
2022 — conf
Prediction of microsatellite instability of colorectal cancer using multi-scale pathological images based on deep learning.
BIBM
Ruifen Cao, Qingsong Gu, Dayu Tan, Pi-Jing Wei, Chunhou Zheng
2022 J jnl
scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data.
PLoS Comput. Biol.
Haiyun Wang, Jianping Zhao, Chunhou Zheng, Yansen Su
2021 J jnl
A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks.
Inf. Sci.
Yansen Su, Kefei Zhou, Xingyi Zhang, Ran Cheng, Chunhou Zheng
2021 J jnl
AEMDA: inferring miRNA-disease associations based on deep autoencoder.
Bioinform.
Cunmei Ji, Zhen Gao, Xu Ma, Qing-Wen Wu, Jian-Cheng Ni, Chunhou Zheng
2021 J jnl
Clustering of cancer data based on Stiefel manifold for multiple views.
BMC Bioinform.
Jing Tian, Jianping Zhao, Chunhou Zheng
2021 — conf
Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification.
ICIC (3)
Rui Yan, Jintao Li, S. Kevin Zhou, Zhilong Lv, Xueyuan Zhang, Xiaosong Rao, Chunhou Zheng, Fei Ren, Fa Zhang
2021 J jnl
Imbalance Data Processing Strategy for Protein Interaction Sites Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Bing Wang, Changqing Mei, Yuanyuan Wang, Yuming Zhou, Mu-Tian Cheng, Chunhou Zheng, Lei Wang, Jun Zhang, Peng Chen, Yan Xiong
2021 — conf
Predicting Drug-Disease Associations Based on Network Consistency Projection.
ICIC (3)
Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang
2021 J jnl
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method.
Neurocomputing
Peng Chen, Weilu Li, Sijie Yao, Chun Ma, Jun Zhang, Bing Wang, Chunhou Zheng, Chengjun Xie, Dong Liang
2021 J jnl
Richer fusion network for breast cancer classification based on multimodal data.
BMC Medical Informatics Decis. Mak.
Rui Yan, Fa Zhang, Xiaosong Rao, Zhilong Lv, Jintao Li, Lingling Zhang, Shuang Liang, Yilin Li, Fei Ren, Chunhou Zheng, Jun Liang
2021 — conf
SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data.
ICIC (3)
Qi Guan, Jianping Zhao, Chunhou Zheng
2020 — conf
An Integration Framework for Liver Cancer Subtype Classification and Survival Prediction Based on Multi-omics Data.
ICIC (3)
Zhonglie Wang, Rui Yan, Jie Liu, Yudong Liu, Fei Ren, Chunhou Zheng, Fa Zhang
2020 — conf
Discovery of Cancer Subtypes Based on Stacked Autoencoder.
ICIC (3)
Bo Zhang, Rui-Fen Cao, Jing Wang, Chunhou Zheng
2020 — conf
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.
BIBM
Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong
2020 — conf
NANet: Nuclei-Aware Network for Grading of Breast Cancer in HE Stained Pathological Images.
BIBM
Rui Yan, Jintao Li, Xiaosong Rao, Zhilong Lv, Chunhou Zheng, Jinjin Dou, Xiaowen Wang, Fei Ren, Fa Zhang
2019 — conf
Integration of Multimodal Data for Breast Cancer Classification Using a Hybrid Deep Learning Method.
ICIC (1)
Rui Yan, Fei Ren, Xiaosong Rao, Baorong Shi, Tiange Xiang, Lingling Zhang, Yudong Liu, Jun Liang, Chunhou Zheng, Fa Zhang
2019 J jnl
Semi-supervised prediction of protein interaction sites from unlabeled sample information.
BMC Bioinform.
Ye Wang, Changqing Mei, Yuming Zhou, Yan Wang, Chunhou Zheng, Xiao Zhen, Yan Xiong, Peng Chen, Jun Zhang, Bing Wang
2018 — conf
A Hybrid Convolutional and Recurrent Deep Neural Network for Breast Cancer Pathological Image Classification.
BIBM
Rui Yan, Fei Ren, Zihao Wang, Lihua Wang, Yubo Ren, Yudong Liu, Xiaosong Rao, Chunhou Zheng, Fa Zhang
2017 J jnl
Class Probability Propagation of Supervised Information Based on Sparse Subspace Clustering for Hyperspectral Images.
Remote. Sens.
Qing Yan, Yun Ding, Yi Xia, Yanwen Chong, Chunhou Zheng
2017 J jnl
Protein fold recognition based on sparse representation based classification.
Artif. Intell. Medicine
Ke Yan, Yong Xu, Xiaozhao Fang, Chunhou Zheng, Bin Liu
2015 J jnl
A new pedestrian detection method based on combined HOG and LSS features.
Neurocomputing
Shihong Yao, Shaoming Pan, Tao Wang, Chunhou Zheng, Weiming Shen, Yanwen Chong
2014 J jnl
Biology-constrained gene expression discretization for cancer classification.
Neurocomputing
Hong-Qiang Wang, Gao-Jian Jing, Chunhou Zheng
2014 J jnl
MutualCascade method for pedestrian detection.
Neurocomputing
Hulin Kuang, Yanwen Chong, Qingquan Li, Chunhou Zheng
2013 J jnl
Integrated real-time vision-based preceding vehicle detection in urban roads.
Neurocomputing
Yanwen Chong, Wu Chen, Zhilin Li, William H. K. Lam, Chunhou Zheng, Qingquan Li
2012 — conf
Retention Index System Transformation Method Incorporated Optimal Molecular Descriptors through Particle Swarm Optimization.
ICIC (2)
Jun Zhang, Qingwei Gao, Chunhou Zheng
2009 J jnl
Mining protein Regulatory Relationships Using Neural Network Methods for Early Prediction of SARS.
J. Circuits Syst. Comput.
Hong-Qiang Wang, Hailong Zhu, Chunhou Zheng, Timothy T. C. Yip, William C. S. Cho, Stephen C. K. Law
2006 J jnl
Noise removal using a novel non-negative sparse coding shrinkage technique.
Neurocomputing
Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun
2005 — conf
Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model.
ISNN (2)
Li Shang, Deshuang Huang, Chunhou Zheng, Zhan-Li Sun
2005 B conf
Natural image compression using an extended non-negative sparse coding neural network technique.
IJCNN
Li Shang, Deshuang Huang, Chunhou Zheng, Zhanli Sun
2005 — conf
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure.
ISNN (2)
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Shang