我目前是 杭州电子科技大学 计算机科学与技术学院的副教授，硕士生导师，并担任AI与生命科学实验室的负责人。如果您寻求任何形式的学术合作，请随时通过 gespring@hdu.edu.cn 邮箱联系我.

我的研究方向包括图像处理, 健康大数据, AI制药, 生物信息学，自然语言处理相关技术及应用, AI for Life。我们的目标是利用AI技术提升人类生活质量，改善医疗健康效果。

我在 芝加哥丰田计算技术研究所（TTIC）获得博士后学位，此前在 中国科学院深圳先进技术研究院获得了计算机应用专业的博士学位，在南京邮电大学获得计算机软件与理论专业的硕士学位。

多年来，我在SCI/EI期刊和国际会议上发表了60余篇学术论文，申请了10余项专利。我主持了多个科研项目，包括：国家自然科学基金项目1项，浙江省自然科学基金探索项目1项，作为主要成员参与国家自然科学重点基金-区域创新联合基金、科技部重点研发等项目3项，浙江省尖兵重大项目1项，浙江省自然科学基金项目1项。

此外，我多次参加国内外学术交流及国际学术研讨会，担任CI期刊中科院2区《Interdisciplinary Sciences: Computational Life Sciences》青年编辑，《Frontiers in Genetics》副编辑，和多个SCI期刊及领域会议的审稿人。

🔥 新闻

待填充

• 2025.02: 🎉 A paper are accepted by Knowledge Based System

✨代表性工作

待填充

📝 发表

📖 期刊论文

（* 共同第一作者，# 通讯作者）

BMC Bioinformatics 2016

McTwo: a two-step feature selection algorithm based on maximal information coefficient
Ruiquan Ge*, Manli Zhou*, Youxi Luo*, Qinghan Meng, Guoqin Mai#, Dongli Ma#, Guoqing Wang#, and Fengfeng Zhou#.

• McTwo utilizes the Maximal Information Coefficient (MIC) to identify features with strong associations to phenotypes while minimizing redundancy among selected features.
• Academic Impact: McTwo has been cited in various scholarly articles, indicating its contribution to the field of bioinformatics and its role in advancing feature selection methodologies.
• Industry Impact: While specific industrial applications are not detailed in the article, the principles underlying McTwo have the potential to influence data analysis strategies in biotechnology and pharmaceutical industries, particularly in areas requiring efficient handling of high-dimensional data.

• Neural Networks (2025) 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#, and Changmiao Wang# (中科院Top期刊)

• Expert Systems with Applications (2025) 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 (中科院Top期刊)

• Interdisciplinary Sciences (2025, Accepted) MultiKD-DTA: Enhancing Drug-Target Affinity Prediction through Multiscale Feature Extraction, Riqian Hu, Ruiquan Ge#, Guojian Deng, Jin Fan, Bowen Tang, Changmiao Wang#

• Knowledge-Based Systems (2025) InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution, Qin Feiwei, Zhengwei Shen, Ruiquan Ge, Kai Zhang, Fei Lin, Yeru Wang, Juan M. Gorriz, Ahmed Elazab, Changmiao Wang (中科院Top期刊)

• Frontiers in Pharmacology (2025) 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#, and Qing Yang#

• IEEE JBHI (2024) UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement, Ruiquan Ge, Zhaojie Fang, Pengxue Wei, Zhanghao Chen, Hongyang Jiang, Ahmed Elazab, Wangting Li, Xiang Wan, Shaochong Zhang, Changmiao Wang (中科院Top期刊)

• Alexandria Engineering Journal (2025) ID-UNet: A densely connected UNet architecture for infrared small target segmentation, Diankun Chen, Feiwei Qin, Ruiquan Ge#, Yong Peng, and Changmiao Wang#

• Alexandria Engineering Journal (2025) IDTransformer: Infrared image denoising method based on convolutional transposed self-attention, Zhengwei Shen, Feiwei Qin, Ruiquan Ge#, Changmiao Wang#, Kai Zhang, and Jie Huang#

• IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) HybAVPnet: a Novel Hybrid Network Architecture for Antiviral Peptides Prediction, Ruiquan Ge#, Yixiao Xia, Minchao Jiang, Gangyong Jia, Xiaoyang Jing, Ye Li, and Yunpeng Cai# (CCF B)

• IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites, Qingsong Wang, Ruiquan Ge#, Changmiao Wang#, Ahmed Elazab, Qiming Fang, and Renfeng Zhang# (CCF B)

• Journal of Cheminformatics (2024) Automated molecular structure segmentation from documents using ChemSAM, Bowen Tang, Zhangming Niu, Xiaofeng Wang, Junjie Huang, Chao Ma, Jing Peng, Yinghui Jiang, Ruiquan Ge, Hongyu Hu, Luhao Lin, and Guang Yang# (IF=8.6)

• Multimedia Systems (2024) Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis, Renshu Gu, Yueyu Zhang, Lisha Wang, Dechao Chen, Yaqi Wang, Ruiquan Ge, Zicheng Jiao, Juan Ye, Gangyong Jia, and Linyan Wang. (CCF C)

• Mammalian Genome (2024) Identification of important gene signatures in schizophrenia through feature fusion and genetic algorithm, Zhixiong Chen, Ruiquan Ge#, Changmiao Wang, Ahmed Elazab, Xianjun Fu, Wenwen Min, Feiwei Qin, Gangyong Jia, and Xiaopeng Fan.

• Mathematics (2024) Boundary-Match U-Shaped Temporal Convolutional Network for Vulgar Action Segmentation, Zhengwei Shen, Ran Xu, Yongquan Zhang, Feiwei Qin, Ruiquan Ge, Changmiao Wang, and Masahiro Toyoura.

• Multimedia Tools and Applications (2024) LKFormer: large kernel transformer for infrared image super-resolution, Feiwei Qin, Kang Yan, Changmiao Wang, Ruiquan Ge#, Yong Peng, and Kai Zhang. (CCF C)

• Journal of King Saud University-Computer and Information Sciences (2023) Fine-grained imbalanced leukocyte classification with global-local attention transformer, Ben Chen, Feiwei Qin, Yanli Shao, Jin Cao, Yong Peng, and Ruiquan Ge.

• IEEE Journal of Biomedical and Health Informatics (2023) Sketch-supervised Histopathology Tumour Segmentation: Dual CNN-Transformer with Global Normalised CAM, Yilong Li, Linyan Wang, Xingru Huang, Yaqi Wang, Le Dong, Ruiquan Ge, Huiyu Zhou, Juan Ye, and Qianni Zhang. (中科院Top期刊)

• IEEE Journal of Biomedical and Health Informatics (2023) CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound, Ruilong Dan, Yunxiang Li, Yijie Wang, Xiaodiao Chen, Gangyong Jia, Shuai Wang, Ruiquan Ge, et al. (中科院Top期刊)

• Frontiers in Medicine (2022) Self-supervised learning mechanism for identification of eyelid malignant melanoma in pathologic slides with limited annotation, Linyan Wang, Zijing Jiang, An Shao, Zhengyun Liu, Renshu Gu, Ruiquan Ge, Gangyong Jia, Yaqi Wang, and Juan Ye.

• Computational Biology and Chemistry (2021) MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancer, Ruiquan Ge, Huihuang Cai, Xin Yuan, Feiwei Qin, Yan Huang, Pu Wang, and Lei Lyu.

• Computers in Biology and Medicine (2022) ME-ACP: Multi-view neural networks with ensemble model for identification of anticancer peptides, Guanwen Feng, Hang Yao, Chaoneng Li, Ruyi Liu, Rungen Huang, Xiaopeng Fan, Ruiquan Ge#, Qiguang Miao#.(中科院Top期刊， IF=7.7)

• 计算机工程 (2020) 基于多视图架构深度神经网络的图像威胁识别, 叶晴昊, 涂岱键, 毕奇, 秦飞巍, 葛瑞泉, 白静.

• Journal of Computational Biology (2022) SuccSPred2.0: A Two-Step Model to Predict Succinylation Sites Based on Multifeature Fusion and Selection Algorithm, Yixiao Xia(本科生), Minchao Jiang, Yizhang Luo, Guanwen Feng, Gangyong Jia, Hua Zhang, Pu Wang#, Ruiquan Ge#.

• Frontiers in Genetics (2022) i2APP: A Two-Step Machine Learning Framework For Antiparasitic Peptides Identification, Minchao Jiang（本科生）, Renfeng Zhang, Yixiao Xia, Gangyong Jia, Yuyu Yin, Pu Wang#, Jian Wu#, Ruiquan Ge#.

• Frontiers in Genetics (2020) EnACP: An Ensemble Learning Model for Identification of Anticancer Peptides, Ruiquan Ge, Guanwen Feng, Xiaoyang Jing, Renfeng Zhang, Pu Wang, Qing Wu.

• IEEE Access (2020) Prediction of Chronic Diseases With Multi-Label Neural Network, Ruiquan Ge*, Renfeng Zhang*, Pu Wang#. (DOI: 10.1109/ACCESS.2020.3011374)

• Journal of Integrative Bioinformatics (2017) MUSTv2: An Improved De Novo Detection Program for Recently Active Miniature Inverted Repeat Transposable Elements (MITEs), Ruiquan Ge*, Guoqin Mai*, Ruochi Zhang*, Xundong Wu, Qing Wu#, and Fengfeng Zhou#.

• Scientific Reports (2016) CRISPRdigger: detecting CRISPRs with better direct repeat annotations, Ruiquan Ge*, Guoqin Mai*, Pu Wang, Manli Zhou, Youxi Luo, Yunpeng Cai#, and Fengfeng Zhou#.

• Frontiers in Medicine (2022) Self-supervised learning mechanism for identification of eyelid malignant melanoma in pathologic slides with limited annotation, Linyan Wang, Zijing Jiang, An Shao, Zhengyun Liu, Renshu Gu, Ruiquan Ge, Gangyong Jia, Yaqi Wang, and Juan Ye.

• IEEE Access (2020) A Virtual End-to-End Learning System for Robot Navigation Based on Temporal Dependencies, Yanqiu Zhang, Ruiquan Ge#, Lei Lyu#, Jinling Zhang, Chen Lyu, and Xiaojuan Yang.

• Interdisciplinary Sciences: Computational Life Sciences (2017) Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data, Pu Wang*, Ruiquan Ge*, Xuan Xiao, Yunpeng Cai#, Guoqing Wang#, and Fengfeng Zhou#.

• Scientific Reports (2017) Multi-label Learning for Predicting the Activities of Antimicrobial Peptides, Pu Wang*, Ruiquan Ge*, Liming Liu, Xuan Xiao, Ye Li, and Yunpeng Cai.

• BioMed Research International (2016) A comprehensive curation demonstrates the dynamic evolutionary patterns of prokaryotic CRISPRs, Guoqin Mai*, Ruiquan Ge*, Guoquan Sun, Qinghan Meng, and Fengfeng Zhou#.

• IEEE/ACM Transactions on Computational Biology and Bioinformatics (2016) hMuLab: a biomedical Hybrid Multi-LABel classifier based on multiple linear regression, Pu Wang, Ruiquan Ge, Xuan Xiao, Manli Zhou, and Fengfeng Zhou#.

🖊️ 会议论文

• IEEE ISBI (2025)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, and Xiaopeng Fan.

• IEEE ISBI (2025)CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Prediction, Yin Shen, Zhaojie Fang, Ke Zhuang, Guanyu Zhou, Xiao Yu, Yucheng Zhao, Yuan Tian, Ruiquan Ge#, Changmiao Wang, Xiaopeng Fan, and Ahmed Elazab.

• IEEE ISBI (2025)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, and Changmiao Wang.

• IEEE BIBM (2024)ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism, Xinlei Yu, Ahmed Elazab, Ruiquan Ge, Hui Jin, Xinchen Jiang, Gangyong Jia, Qing Wu, Qinglei Shi, and Changmiao Wang. (CCF B)

• 2024 International Conference on Intelligent Computing (2024)Infrared image super-resolution via lightweight information split network, Shijie Liu, Kang Yan, Feiwei Qin, Changmiao Wang, Ruiquan Ge, Kai Zhang, Jie Huang, Yong Peng, and Jin Cao. (CCF C)

• 2024 International Symposium on Bioinformatics Research and Applications (2024)CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-Binding Protein Site Prediction, Huiliang Luo, Guojian Deng, Riqian Hu, Ruiquan Ge#, Feiwei Qin#, and Changmiao Wang. (CCF C)

• IEEE ISBI (2024)TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method, Chenyan Zhang, Yifei Chen, Zhenxiong Fan, Yiyu Huang, Wenchao Weng, Ruiquan Ge#, Dong Zeng, and Changmiao Wang#. Oral Presentation

• IEEE ISBI (2024)PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction, Zhaoxin Guo, Zhipeng Wang, Ruiquan Ge#, Jianxun Yu, Feiwei Qin, Yuan Tian, Yuqing Peng, Yonghong Li, and Changmiao Wang. (Oral Presentation)

• IEEE ISBI (2024)BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images, Zhanghao Chen, Yifei Sun, Ruiquan Ge#, Wenjian Qin, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang#. (Oral Presentation). DOI: 10.1109/ISBI56570.2024.10635371.

• IEEE ISBI (2024)ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Network, Xinlei Yu, Xinyang Li, Ruiquan Ge#, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Taosheng Xu, Xiang Wan, Changmiao Wang#. Oral Presentation. DOI: 10.1109/ISBI56570.2024.10635317.

• IEEE BIBM (2023)GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration, Xuhao Shan, Xinyang Li, Ruiquan Ge#, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, et al. (CCF B).

• International Conference MICCAI (2023)UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-Wide-Angle Transformation Multi-scale GAN, Zhaojie Fang, Zhanghao Chen(本科生), Pengxue Wei, Wangting Li, Shaochong Zhang, Ahmed Elazab, Gangyong Jia (本科生), Ruiquan Ge#, Changmiao Wang#. (医学图像顶会, Early Acceptance). DOI: 10.1007/978-3-031-43990-2_70. (Note: “本科生” indicates undergraduate students.)

• MICCAI Workshop CMMCA (2023)MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration, Qingsong Wang(本科生), Xin Lin(本科生), Ruiquan Ge#, Ahmed Elazab, Xiangyang Hu, Jionghao Cheng, Yuqing Peng, Xiang Wan, Changmiao Wang#. （Best Paper）. (Note: “本科生” indicates undergraduate students.)

• IEEE BIBM (2022)MSF-SleepNet: Multi-Stream Fusion Network with Contrastive Learning for Sleep Stage Classification, Jingrui Chen, Yujie Li, Jing Xiao, Ruiquan Ge#, Wenjun Ma, Xiaomao Fan. (CCF B).

• Computational Mathematics Modeling in Cancer Analysis: First International Workshop, CMMCA (Singapore, September 18,2022)Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM, Yilong Li, Yaqi Wang, Le Dong, Juan Ye, Linyan Wang, Ruiquan Ge, Huiyu Zhou, Qianni Zhang. Cham: Springer Nature Switzerland.

• Bioinformatics Research and Applications, ISBRA (2021)SuccSPred: Succinylation Sites Prediction Using Fused Feature Representation and Ranking Method, Ruiquan Ge, Yizhang Luo, Guanwen Feng, Gangyong Jia, Hua Zhang, Chong Xu, Gang Xu, Pu Wang. Springer, Cham. (CCF C).

• APBC (2021)MD-UNET: Multi-input Dilated U-shape Neural Network for Segmentation of Bladder Cancer, Ruiquan Ge, Huihuang Cai, Xin Yuan, Feiwei Qin, Yan Huang, Pu Wang, Lei Lyu. Tainan, Taiwan. (CCF C).

• IEEE BIBM (2020)Prediction of anticancer peptides with dictionary learning method, Ruiquan Ge, Xiaomao Fan, Pu Wang. Seoul, Korea (South). (CCF B).

• IEEE BIBM (2020)ProFPred: a two-step protein function prediction model based on sequence and evolutionary information, Ruiquan Ge, Guanwen Feng, Pu Wang, Qiguang Miao. (CCF B).

• IJCNN (2018)CTF-PSF: Coupled Tensor Factorization with Partially Shared Factors, Qing Wu, Xingfei Li, Quan Do, Jin Fan, Ruiquan Ge#, Jie Wang. (CCF C).

• IJCNN (2018)iBQPSO: an Improved BQPSO Algorithm for Feature Selection, Qing Wu, Yuanfeng Shen, Zheping Ma, Jin Fan, Ruiquan Ge. (CCF C).

• 4th IEEE Broadband Network and Multimedia Technology (2011)An Intelligent Surveillance System Based on Motion Detection, Ruiquan Ge, Zhenfang Shan, Hao Kou.

📚 著作

• Recent Advances in Biological Network Analysis [Chapter] (2021) Computational Methods for Protein–Protein Interaction Network Alignment, Ruiquan Ge, Qing Wu, Jinbo Xu

• Frontiers in Genetics (2022) [Editor] Machine learning for peptide structure, function, and design, Ruiquan Ge, Chuan Dong, Juexin Wang, Yanjie Wei

🔎 专利

• 授权公告号：CN 112908418 B 一种基于字典学习的氨基酸序列特征提取方法

• 授权公告号：CN 114093427 B 一种基于深度学习和机器学习的抗病毒肽预测方法

• 授权公告号：CN 114093512 B 一种基于多模态数据和深度学习模型的生存预测方法

🖥️ 科研

🧭 横向科研

• 基于电磁流量仪表通讯的手机APP的demo开发 主持

• 基于机器学习的设备故障预测分析 主持

• 基于生物医学大数据的缺血性脑卒中生物标记物特征工程研究 主持

• 智慧停车引导系统软件 主持

🧬 纵向科研

• 浙江省自然科学基金，一般项目，基于机器学习的抗病毒肽识别研究 主持

• 国家自然科学基金青年项目，基于GPU的基因表达谱数据特征选择策略研究 主持

• 国家重点实验室基金，EEG to 3D: 基于二维扩散的脑电波三维图像生成 主持

• 国家自然科学基金联合基金项目，多模态影像数据与专家知识融合的心脑血管疾病智能识别与决策研究 参与

• 国家自然科学基金区域创新发展联合基金，融合知识引导和数据驱动的人工智能角膜模型算法和诊断系统 研究 参与

• 国家自然科学基金面上项目，面向网络轻量化的树突化网络研究 参与

• 浙江省科技计划项目-省尖兵领雁研发攻关计划项目-尖兵计划，基于异质多模态数据融合的卒中后认知功能障碍智能诊疗技术研究与应用示范 参与

  📍 其他

🎖️ 指导学生竞赛

• 中国国际大学生创新大赛国际赛道 （2024）国家级铜奖, Smart Drawing Healthcare - AIGC Enabler for Multimodal Medical Image Generation.

• 中国国际大学生创新大赛国际赛道 （2024）国家级铜奖，Intelligent ophthalmology– AI enables a new chapter in the diagnosis of fundus diseases.

• 中国国际大学生创新大赛国际赛道 （2023）国家级铜奖，鹰医生–面向重大疾病病灶快速精准定位的医学影像智能阅片系统

• 第十五届中国大学生服务外包创新创业大赛 （2024）国家级三等奖，井盖隐患智能识别

• 中国国际大学生创新大赛主赛道 （2024）省级银奖，智绘医疗——多模态医学影像生成的AIGC赋能者

• “挑战杯”浙江省大学生创业计划竞赛 (2024) 二等奖，瞳影智能——AI赋能眼底诊疗的先行者

• 第十五届中国大学生服务外包创新创业大赛东部区域赛 (2023) 三等奖，基于西湖论剑·数字安全大会品牌宣传用户交互的活动平台

👨‍🎓 指导学生

• 陈一飞 清华大学（直博）

• 夏一潇 杭州电子科技大学（直博）

• 郭羿宏 浙江大学（直博）

• 冯冠文 西安电子科技大学（硕博）

• 陈章昊 东南大学（保研）

• 张晨焱 中国科技大学（研）

• 俞鑫磊 新加坡国立大学（研）

• 方昭杰 香港中文大学（深圳）（研）

• 胡日千 加州大学圣迭戈分校（研）

• 林 欣 浙江大学（研）

• 王庆松 浙江大学（研）

• 蒋敏超 西安电子科技大学（研）

• 余建勋 西安电子科技大学（保研）

  🤝合作

待填充