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Daohui Ge
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2020 – today
- 2024
- [j7]Feng Li, Yang Liu, Jinxing Liu, Daohui Ge, Junliang Shang:
A framework for scRNA-seq data clustering based on multi-view feature integration. Biomed. Signal Process. Control. 89: 105785 (2024) - [j6]Cui-Na Jiao
, Ying-Lian Gao, Dao-Hui Ge, Junliang Shang
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction. Eng. Appl. Artif. Intell. 130: 107782 (2024) - [j5]Xiaomeng Xue
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data. Quant. Biol. 12(2): 173-181 (2024) - [j4]Junliang Shang
SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(11): 7006-7014 (2024) - [c8]Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li:
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification. ICIC (LNBI 1) 2024: 135-146 - [c7]Jing Jing
stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics. ICIC (LNBI 1) 2024: 321-331 - 2023
- [j3]Yunan Li
Image Hazing and Dehazing: From the Viewpoint of Two-Way Image Translation With a Weakly Supervised Framework. IEEE Trans. Multim. 25: 4704-4717 (2023) - [c6]Yaxuan Zhang, Junliang Shang, Yijun Gu, Qianqian Ren, Daohui Ge, Yan Sun:
Crow Search Algorithm Based on Information Interaction for Epistasis Detection. BIBM 2023: 3249-3256 - [c5]Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li:
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity. ICIC (3) 2023: 268-278 - 2022
- [c4]Sheng-Nan Zhang, Yu-Lin Zhang, Jin-Xing Liu, Juan Wang, Junliang Shang, Dao-Hui Ge:
Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data. BIBM 2022: 2162-2168 - [c3]Daohui Ge, Yunan Li
MCTrack: Multi-Head Contrastive Network for Visual Tracking. ICDIS 2022: 234-241 - 2020
- [c2]Meiyang Zhang, Qiguang Miao
Improving Small-Scale Dataset Classification Performance Through Weak-Label Samples Generated by InfoGAN. Big Data (CCF) 2020: 83-95
2010 – 2019
- 2019
- [j2]Daohui Ge, Jianfeng Song, Yutao Qi, Chongxiao Wang, Qiguang Miao
Self-Paced Dense Connectivity Learning for Visual Tracking. IEEE Access 7: 37181-37191 (2019) - 2018
- [j1]Peipei Zhao, Qiguang Miao
Architectural Style Classification Based on Feature Extraction Module. IEEE Access 6: 52598-52606 (2018) - [c1]Daohui Ge, Jianfeng Song, Yutao Qi, Chongxiao Wang, Qiguang Miao
Self-Paced Densely Connected Convolutional Neural Network for Visual Tracking. PRCV (4) 2018: 103-114
Coauthor Index
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