Ruiquan Ge - School of Computer Science and Technology, Hangzhou Dianzi University

基本信息

Career Trajectory

Bio

Ruiquan Ge received the Ph.D. degree in computer application technology from the Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, in 2017. From February 2019 to June 2020, he was a Visiting Scholar with the Toyota Technological Institute at Chicago (TTIC). He is currently a Teacher with the School of Computer Science and Technology, Hangzhou Dianzi University. His current research interests include machine learning and bioinformatics.

Research Interests

Papers共 75 篇Author StatisticsCo-AuthorSimilar Experts

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ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction

Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan,Wenwen Min, Liyilei Su,Xiaomao Fan,Ahmed Elazab,Ruiquan Ge,Changmiao Wang, Xiaopeng Fan

IEEE International Symposium on Biomedical Imagingpp.1-5, (2025)

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Towards Interpretable Sleep Stage Classification with a Multi-Stream Fusion Network

Jingrui Chen,Xiaomao Fan,Ruiquan Ge, Jing Xiao,Ruxin Wang,Wenjun Ma,Ye Li

BMC Medical Informatics and Decision Makingno. 1 (2025): 1-14

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ICH-PRNet: A Cross-Modal Intracerebral Haemorrhage Prognostic Prediction Method Using Joint-Attention Interaction Mechanism

Xinlei Yu,Ahmed Elazab,Ruiquan Ge, Jichao Zhu, Lingyan Zhang,Gangyong Jia,Qing Wu,Xiang Wan,Lihua Li,Changmiao Wang

NEURAL NETWORKS (2025)

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ID-UNet: A Densely Connected UNet Architecture for Infrared Small Target Segmentation

Diankun Chen,Feiwei Qin,Ruiquan Ge,Yong Peng,Changmiao Wang

ALEXANDRIA ENGINEERING JOURNAL (2025): 234-244

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LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset

Zhaojie Fang, Xiao Yu, Guanyu Zhou, Ke Zhuang,Yifei Chen,Ruiquan Ge,Changmiao Wang,Gangyong Jia,Qing Wu, Juan Ye,Maimaiti Nuliqiman,Peifang Xu,Ahmed Elazab

EXPERT SYSTEMS WITH APPLICATIONS (2025)

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InfraFFN: A Feature Fusion Network Leveraging Dual-Path Convolution and Self-Attention for Infrared Image Super-Resolution

Feiwei Qin, Zhengwei Shen,Ruiquan Ge,Kai Zhang, Fei Lin, Yeru Wang,Juan M. Gorriz,Ahmed Elazab,Changmiao Wang

KNOWLEDGE-BASED SYSTEMS (2025)

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Efficient Substructure Feature Encoding Based on Graph Neural Network Blocks for Drug-Target Interaction Prediction

Guojian Deng, Changsheng Shi,Ruiquan Ge, Riqian Hu,Changmiao Wang,Feiwei Qin, Cheng Pan, Haixia Mao, Qing Yang

Frontiers in pharmacology (2025): 1553743-1553743

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CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting

Yin Shen, Zhaojie Fang, Ke Zhuang, Guanyu Zhou, Xiao Yu, Yucheng Zhao, Yuan Tian,Ruiquan Ge,Changmiao Wang, Xiaopeng Fan,Ahmed Elazab

IEEE International Symposium on Biomedical Imagingpp.1-5, (2025)

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TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis from Imaging, Clinical, and Radiomic Data Fusion

Linglong Wu, Xuhao Shan,Ruiquan Ge, Ruoyu Liang, Chi Zhang, Yonghong Li,Ahmed Elazab, Huoling Luo, Yunbi Liu,Changmiao Wang

IEEE International Symposium on Biomedical Imagingpp.1-5, (2025)

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MultiKD-DTA: Enhancing Drug-Target Affinity Prediction Through Multiscale Feature Extraction

Riqian Hu,Ruiquan Ge, Guojian Deng,Jin Fan, Bowen Tang,Changmiao Wang

Interdisciplinary sciences, computational life sciences (2025)

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