Daohui Ge

25 papers B 1Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive Learning.
IEEE J. Biomed. Health Informatics
Longfei Qi, Feng Li, Junliang Shang, Daohui Ge, Shihan Wang, Shasha Yuan
2025 J jnl
A Modified Transformer Network for Seizure Detection Using EEG Signals.
Int. J. Neural Syst.
Wenrong Hu, Juan Wang, Feng Li, Daohui Ge, Yuxia Wang, Qingwei Jia, Shasha Yuan
2025 J jnl
AGDFCDA: Adaptive graph convolutional network and dual feature for circRNA-disease association prediction.
J. Comput. Sci.
Yan Zhao, Xin He, Junliang Shang, Daohui Ge, Jin-Xing Liu
2025 — conf
PDA-GTGCN: Identification of PiRNA-Disease Associations Based on Group Feature Transformation Graph Convolutional Network.
ISBRA (1)
Xiaoqi Tang, Xianghan Meng, Junliang Shang, Baojuan Qin, Xin He, Yan Zhao, Daohui Ge, Feng Li, Jin-Xing Liu
2025 J jnl
RPMVCDA: Random Perturbation and Multi-View Graph Convolutional Networks for CircRNA-Disease Association Prediction.
IEEE Trans. Comput. Biol. Bioinform.
Xin He, Junliang Shang, Daohui Ge, Feng Li, Jin-Xing Liu
2025 — conf
SMTFusion: Multi-order Topological Cell Graphs for Single-Cell Multi-omics Clustering.
ICIC (25)
Yuzhuo Yuan, Yang Jin, Xin Wang, Ping Wang, Daohui Ge
2025 — conf
ScCAF: A Cross-Omics Attention Fusion Framework for Single-Cell Multi-Omics Clustering.
BIBM
Yuzhuo Yuan, Yang Jin, Liwei Wu, Ping Wang, Feng Li, Daohui Ge
2025 — conf
SpaMSC: Multi-Scale Subgraph Contrastive Learning for Deciphering Spatial Domains in Spatial Transcriptomics.
BIBM
Daohui Ge, Haonan Li, Wentian Xin, Feng Li, Ping Wang, Yuzhuo Yuan
2025 — conf
TAGCL-DDI: Two-Stage Augmentation-Driven Graph Contrastive Learning for Drug-Drug Interaction Prediction.
BIBM
Daohui Ge, Jiquan Zhao, Feng Li, Yuzhuo Yuan, Wentian Xin, Shasha Yuan
2025 J jnl
pscAdapt: Pre-Trained Domain Adaptation Network Based on Structural Similarity for Cell Type Annotation in Single Cell RNA-seq Data.
IEEE J. Biomed. Health Informatics
Yan Zhao, Junliang Shang, Baojuan Qin, Limin Zhang, Xin He, Daohui Ge, Qianqian Ren, Jin-Xin Liu
2025 J jnl
scCDAN: Constraint domain adaptation network for cell type annotation across single cell RNA sequencing data.
Neurocomputing
Junliang Shang, Yan Zhao, Baojuan Qin, Limin Zhang, Xianghan Meng, Daohui Ge, Jin-Xin Liu
2024 J jnl
A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data.
Quant. Biol.
Xiaomeng Xue, Feng Li, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren
2024 J jnl
A framework for scRNA-seq data clustering based on multi-view feature integration.
Biomed. Signal Process. Control.
Feng Li, Yang Liu, Jinxing Liu, Daohui Ge, Junliang Shang
2024 — conf
Integrating Autoencoder and Multi-View Graph Convolutional Networks for Spatial Domains Identification.
BIBM
Fanhao Meng, Feng Li, Yanru Gao, Daohui Ge, Rong Zhu, Junliang Shang
2024 — conf
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification.
ICIC (LNBI 1)
Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li
2024 J jnl
SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction.
IEEE J. Biomed. Health Informatics
Junliang Shang, Linqian Zhao, Xin He, Xianghan Meng, Limin Zhang, Daohui Ge, Feng Li, Jin-Xing Liu
2024 — conf
Spatial domains identification based on multi-view contrastive learning in spatial transcriptomics.
BIBM
Yanru Gao, Feng Li, Fanhao Meng, Daohui Ge, Qianqian Ren, Junliang Shang
2023 — conf
Crow Search Algorithm Based on Information Interaction for Epistasis Detection.
BIBM
Yaxuan Zhang, Junliang Shang, Yijun Gu, Qianqian Ren, Daohui Ge, Yan Sun
2023 J jnl
Image Hazing and Dehazing: From the Viewpoint of Two-Way Image Translation With a Weakly Supervised Framework.
IEEE Trans. Multim.
Yunan Li, Huizhou Chen, Qiguang Miao, Daohui Ge, Siyu Liang, Zhuoqi Ma, Bocheng Zhao
2023 — conf
Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity.
ICIC (3)
Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li
2022 — conf
MCTrack: Multi-Head Contrastive Network for Visual Tracking.
ICDIS
Daohui Ge, Yunan Li, Bingwen Jia, Ruyi Liu, Qiguang Miao
2020 B conf
Improving Small-Scale Dataset Classification Performance Through Weak-Label Samples Generated by InfoGAN.
Big Data (CCF)
Meiyang Zhang, Qiguang Miao, Daohui Ge, Zili Zhang
2019 J jnl
Self-Paced Dense Connectivity Learning for Visual Tracking.
IEEE Access
Daohui Ge, Jianfeng Song, Yutao Qi, Chongxiao Wang, Qiguang Miao
2018 J jnl
Architectural Style Classification Based on Feature Extraction Module.
IEEE Access
Peipei Zhao, Qiguang Miao, Jianfeng Song, Yutao Qi, Ruyi Liu, Daohui Ge
2018 — conf
Self-Paced Densely Connected Convolutional Neural Network for Visual Tracking.
PRCV (4)
Daohui Ge, Jianfeng Song, Yutao Qi, Chongxiao Wang, Qiguang Miao