葛瑞泉

葛瑞泉，男，博士，副教授，硕士生导师，中国计算机学会、IEEE、ACM学会会员。

主要研究方向：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。

已在相关领域发表SCI/EI检索论文60余篇，申请发明专利10余项。主持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。多次参加国内外学术交流及国际学术研讨会，担任SCI 期刊中科院2区Interdisciplinary Sciences: Computational Life Sciences青年编辑， Frontiers in Genetics副编辑，多个SCI 期刊和领域会议审稿人。

Google scholar:  https://scholar.google.com/citations?hl=en&user=Moa5XSkAAAAJ&view_op=list_works&sortby=pubdate 

联系方式： gespring@hdu.edu.cn

本组每年计划招生3个左右研究生，欢迎编程能力强、数学基础好的同学报考！

2019.02-2020.07 芝加哥丰田计算技术研究所（TTIC），博士后；

2012.08-2017.01 中国科学院深圳先进技术研究院，计算机应用，博士研究生；

2006.08-2009.06 南京邮电大学，计算机软件与理论，硕士研究生

指导学生竞赛

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

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

5.    中国国际大学生创新大赛（2023）国际赛道国家级铜奖，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

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

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

2.    2024年“挑战杯”浙江省大学生创业计划竞赛二等奖，瞳影智能——AI赋能眼底诊疗的先行者

1.    第十五届中国大学生服务外包创新创业大赛东部区域赛三等奖，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

合作学生

陈章昊  东南大学（保研）         陈一飞  清华大学（直博）

葛宇翔  东南大学（研）            郭羿宏  浙江大学（直博）

张晨焱  中国科技大学（研）          夏一潇  杭州电子科技大学（直博）

俞鑫磊  新加坡国立大学（研）        冯冠文  西安电子科技大学（硕博）

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）

1. 期刊论文（* 共同第一作者，# 通讯作者）

[36] Xinlei Yu(本科生), Ahmed Elazab, Ruiquan Ge^#, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Qing Wu, Xiang Wan, Lihua Li^#,  and Changmiao Wang^#. ICH-PRNet: A cross-modal intracerebral haemorrhage prognostic prediction method using joint- attention interaction mechanism.  Neural Networks 184 (2025): 107096.（中科院Top期刊）

[35] Yifei Sun, Zhanghao Chen, Hao Zheng, Wenming Deng, Jin Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang^#, Ruiquan Ge^#. BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models. IEEE Journal of Biomedical and Health Informatics . 2025.（Accepted, 中科院Top期刊） 

[34] Zhaojie Fang(本科生), Xiao Yu, Guanyu Zhou, Ke Zhuang, Yifei Chen, Ruiquan Ge^#, Changmiao Wang^#, Gangyong Jia, Qing Wu, Juan Ye, Maimaiti Nuliqiman, Peifang Xu, Ahmed Elazab. LPUWF-LDM: Enhanced Latent Diffusion Model for Precise Late-phase UWF-FA Generation on Limited Dataset. Expert Systems with Applications 270 (2025): 126471.（中科院Top期刊）

[33] Riqian Hu(本科生), Ruiquan Ge^#, Guojian Deng, Jin Fan, Bowen Tang, Changmiao Wang^#. MultiKD-DTA: Enhancing Drug-Target Affinity Prediction through Multiscale Feature Extraction. Interdisciplinary Sciences: Computational Life Sciences 2025 (Accepted).

[32] Qin, Feiwei, Zhengwei Shen, Ruiquan Ge, Kai Zhang, Fei Lin, Yeru Wang, Juan M. Gorriz, Ahmed Elazab, and Changmiao Wang. InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution. Knowledge-Based Systems 310 (2025): 112960. (中科院Top期刊）

[31] Deng, Guojian*, Changsheng Shi*, Ruiquan Ge^#, Riqian Hu, Changmiao Wang, Feiwei Qin, Cheng Pan, Haixia Mao^#, and Qing Yang^#. Efficient substructure feature encoding based on graph neural network blocks for drug-target interaction prediction. Frontiers in Pharmacology 16 (2025): 1553743.

[30] Ruiquan Ge, Zhaojie Fang(本科生), Pengxue Wei, Zhanghao Chen, Hongyang Jiang, Ahmed Elazab, Wangting Li, Xiang Wan, Shaochong Zhang, and Changmiao Wang. UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement. IEEE Journal of Biomedical and Health Informatics vol. 28, no. 8, pp. 4820-4829, Aug. 2024.（中科院Top期刊）

[29] Chen, Diankun, Feiwei Qin, Ruiquan Ge^#, Yong Peng, and Changmiao Wang. ID-UNet: A densely connected UNet architecture for infrared small target segmentation. Alexandria Engineering Journal 110 (2025): 234-244.

[28] Shen, Zhengwei, Feiwei Qin, Ruiquan Ge, Changmiao Wang, Kai Zhang, and Jie Huang. IDTransformer: Infrared image denoising method based on convolutional transposed self-attention. Alexandria Engineering Journal 110 (2025): 310-321.

[27] Ruiquan, Ge, Yixiao Xia(本科生), Minchao Jiang, Gangyong Jia, Xiaoyang Jing, Ye Li, and Yunpeng Cai. HybAVPnet: a Novel Hybrid Network Architecture for Antiviral Peptides Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics  vol. 21, no. 5, pp. 1358-1365, Sept.-Oct. 2024. （CCF B）

[26] Wang, Qingsong(本科生), Ruiquan Ge^#, Changmiao Wang, Ahmed Elazab, Qiming Fang, and Renfeng Zhang^#. TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics vol. 21, no. 5, pp. 1231-1241, Sept.-Oct. 2024.（CCF B）

[25] Tang, Bowen, Zhangming Niu, Xiaofeng Wang, Junjie Huang, Chao Ma, Jing Peng, Yinghui Jiang, Ruiquan Ge, Hongyu Hu, Luhao Lin, Guang Yang. Automated molecular structure segmentation from documents using ChemSAM. Journal of Cheminformatics 16, 29 (2024). （IF=8.6）

[24] Gu, Renshu, Yueyu Zhang, Lisha Wang, Dechao Chen, Yaqi Wang, Ruiquan Ge, Zicheng Jiao, Juan Ye, Gangyong Jia, and Linyan Wang. Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis. Multimedia Systems 30, no. 2  (2024): 72. (CCF C)

[23] Chen, Zhixiong(本科生), Ruiquan Ge^#, Changmiao Wang, Ahmed Elazab, Xianjun Fu, Wenwen Min, Feiwei Qin, Gangyong Jia, and Xiaopeng Fan. Identification of important gene signatures in schizophrenia through feature fusion and genetic algorithm. Mammalian Genome 35, no. 2 (2024): 241-255.

[22] Shen, Zhengwei, Ran Xu, Yongquan Zhang, Feiwei Qin, Ruiquan Ge, Changmiao Wang, and Masahiro Toyoura. Boundary-Match U-Shaped Temporal Convolutional Network for Vulgar Action Segmentation. Mathematics 12, no. 6 (2024): 899.

[21] Qin, Feiwei, Kang Yan, Changmiao Wang, Ruiquan Ge^#, Yong Peng, and Kai Zhang. LKFormer: large kernel transformer for infrared image super-resolution. Multimedia Tools and Applications (2024): 1-15. (CCF C)

[20] Chen, Ben, Feiwei Qin, Yanli Shao, Jin Cao, Yong Peng, and Ruiquan Ge. Fine-grained imbalanced leukocyte classification with global-local attention transformer. Journal of King Saud University-Computer and Information Sciences 35, no. 8 (2023): 101661.

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

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

[17] Wang, Linyan, Zijing Jiang, An Shao, Zhengyun Liu, Renshu Gu, Ruiquan Ge, Gangyong Jia, Yaqi Wang, and Juan Ye. Self-supervised learning mechanism for identification of eyelid malignant melanoma in pathologic slides with limited annotation.  Frontiers in Medicine 9 (2022): 976467.

[16] Ruiquan Ge, Huihuang Cai, Xin Yuan, Feiwei Qin, Yan Huang, Pu Wang, Lei Lyu, MD-UNET: Multi-input dilated U-shape neural network for segentation of bladder cancer. Computational Biology and Chemistry, 93(2021), 107510.

[15] Guanwen Feng(本科生), Hang Yao, Chaoneng Li, Ruyi Liu, Rungen Huang, Xiaopeng Fan, Ruiquan Ge^#, Qiguang Miao^#, ME-ACP: Multi-view neural networks with ensemble model for identification of anticancer peptides. Computers in Biology and Medicine, 2022, 145, 105459.（中科院Top期刊，IF=7.7）

[14] 叶晴昊, 涂岱键, 毕奇, 秦飞巍, 葛瑞泉, 白静, 基于多视图架构深度神经网络的图像威胁识别, 计算机工程, 2020, 46(11): 261-266

[13] Yixiao Xia(本科生), Minchao Jiang, Yizhang Luo, Guanwen Feng, Gangyong Jia, Hua Zhang, Pu Wang^#, Ruiquan Ge^#, SuccSPred2.0: A Two-Step Model to Predict Succinylation Sites Based on Multifeature Fusion and Selection Algorithm. Journal of Computational Biology 29.10 (2022): 1085-1094..

[12] Minchao Jiang^*(本科生)， Renfeng Zhang^*, Yixiao Xia, Gangyong Jia, Yuyu Yin, Pu Wang^#, Jian Wu^#, Ruiquan Ge^#, i2APP: A Two-Step Machine Learning Framework For Antiparasitic Peptides Identification. Frontiers in genetics. 13:884589. 2022. doi: 10.3389/fgene.2022.884589

[11] Ruiquan Ge, Guanwen Feng(本科生), Xiaoyang Jing, Renfeng Zhang, Pu Wang, Qing Wu. EnACP: An Ensemble Learning Model for Identification of Anticancer Peptides. Frontiers in genetics, 2020, 11, 760.

[10] Ruiquan Ge^*, Renfeng Zhang^*, Pu Wang, Prediction of Chronic Diseases With Multi-Label Neural Network. IEEE Access, vol. 8, pp. 138210-138216, 2020, doi: 10.1109/ACCESS.2020.3011374.

[9]  Ruiquan Ge^*,  Guoqin Mai^*, Ruochi Zhang^*, Xundong Wu, Qing Wu^#, Fengfeng Zhou^#. MUSTv2: An Improved De Novo Detection Program for Recently Active Miniature Inverted Repeat Transposable Elements (MITEs)[J]. Journal of Integrative Bioinformatics, 2017, 14.

[8]  Ruiquan Ge^*, Manli Zhou^*, Youxi Luo^*, Qinghan Meng, Guoqin Mai, Dongli Ma^#, Guoqing Wang^#, Fengfeng Zhou^#. McTwo: a two-step feature selection algorithm based on maximal information coefficient. BMC Bioinformatics 2016,17(1): 1-14. (CCF C)

[7]  Ruiquan Ge^*, Guoqin Mai^*, Pu Wang, Manli Zhou, Youxi Luo, Yunpeng Cai^#, Fengfeng Zhou^#. CRISPRdigger: detecting CRISPRs with better direct repeat annotations. Scientific Reports,2016,6: 32942.

[6]  Wang, Linyan, Zijing Jiang, An Shao, Zhengyun Liu, Renshu Gu, Ruiquan Ge, Gangyong Jia, Yaqi Wang, and Juan Ye. Self-supervised learning mechanism for identification of eyelid malignant melanoma in pathologic slides with limited annotation. Frontiers in Medicine 9 (2022).

[5]  Yanqiu Zhang, Ruiquan Ge^#, Lei Lyu^#, Jinling Zhang, Chen Lyu and Xiaojuan Yang. A Virtual End-to-End Learning System for Robot Navigation Based on Temporal Dependencies. IEEE Access, vol. 8, pp. 134111-134123, 2020, doi: 10.1109/ACCESS.2020.3010695.

[4]  Pu Wang^*, Ruiquan Ge^*, Xuan Xiao, Yunpeng Cai^#, Guoqing Wang^#, Fengfeng Zhou^#. Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data. Interdisciplinary Sciences: Computational Life Sciences. 2017, 9, 419–422.

[3]  Pu Wang^*, Ruiquan Ge^*, Liming Liu, Xuan Xiao, Ye Li & Yunpeng Cai. Multi-label Learning for Predicting the Activities of Antimicrobial Peptides. Scientific Reports, 2017,7: 2202.

[2]  Guoqin Mai^*, Ruiquan Ge^*, Guoquan Sun, Qinghan Meng, Fengfeng Zhou^#. A comprehensive curation demonstrates the dynamic evolutionary patterns of prokaryotic CRISPRs. BioMed Research International (2016), 1-7, 7237053.

[1]  Pu Wang, Ruiquan Ge, Xuan Xiao, Manli Zhou, Fengfeng Zhou^#. hMuLab: a biomedical Hybrid Multi-LABel classifier based on multiple linear regression. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016:1-1. (CCF B)

2.会议论文

[25]  Xinlei Yu, Changmiao Wang^#, Hui Jin, Ahmed Elazab, Gangyong Jia, Xiang Wan, Changqing Zou, Ruiquan Ge^#. CRISP-SAM2 : SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation. ACM Multimedia 2025 (Accepted). (CCF A)

[24]  Yifei Sun, Zhanghao Chen, Hao Zheng, Yuqing Lu, Lixin Duan, Fenglei Fan, Ahmed Elazab, Xiang Wan, Changmiao Wang^#, Ruiquan Ge^#. GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images. MICCAI 2025 (Accepted). （医学图像顶会, CCF B）

[23] Jianxun Yu*, Ruiquan Ge*, Zhipeng Wang, Cheng Yang, Chenyu Lin, Xianjun Fu, Jikui Liu^#, Ahmed Elazab, Changmiao Wang. Small Lesions-aware Bidirectional Multimodal Multiscale Fusion Network for Lung Disease Classification. MICCAI 2025 (Accepted). （医学图像顶会, CCF B）

[22] Xiangyang Hu, Xiangyu Shen(本科生), Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge^#, Changmiao Wang, Xiaopeng Fan. ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction.2025 IEEE International Symposium on Biomedical Imaging (ISBI). Accepted.

[21] Yin Shen, Zhaojie Fang(本科生), Ke Zhuang, Guanyu Zhou, Xiao Yu, Yucheng Zhao, Yuan Tian, Ruiquan Ge^#, Changmiao Wang, Xiaopeng Fan, Ahmed Elazab. CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy Predicting.2025 IEEE International Symposium on Biomedical Imaging (ISBI). Accepted.

[20] Linglong Wu(本科生), Xuhao Shan, Ruiquan Ge^#, Ruoyu Liang, Chi Zhang, Yonghong Li, Ahmed Elazab, Huoling Luo, Yunbi Liu, Changmiao Wang. TMI-CLNet: Triple-Modal Interaction Network for Chronic Liver Disease Prognosis From Imaging, Clinical, and Radiomic Data Fusion.2025 IEEE International Symposium on Biomedical Imaging (ISBI). Accepted.

[19] Xinlei Yu(本科生), Ahmed Elazab, Ruiquan Ge, Hui Jin, Xinchen Jiang, Gangyong Jia, Qing Wu, Qinglei Shi, and Changmiao Wang, ICH-SCNet: Intracerebral Hemorrhage Segmentation and Prognosis Classification Network Using CLIP-guided SAM mechanism.   In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),  IEEE, 2024. (CCF B)

[18] Liu, Shijie, Kang Yan, Feiwei Qin, Changmiao Wang, Ruiquan Ge, Kai Zhang, Jie Huang, Yong Peng, and Jin Cao. Infrared image super-resolution via lightweight information split network. In International Conference on Intelligent Computing, pp. 293-304. Singapore: Springer Nature Singapore, 2024. (CCF C)

[17] Luo, Huiliang, Guojian Deng, Riqian Hu, Ruiquan Ge^#, Feiwei Qin^#, and Changmiao Wang. CircMAN: Multi-channel Attention Networks Based on Feature Fusion for CircRNA-Binding Protein Site Prediction. In International Symposium on Bioinformatics Research and Applications, pp. 169-181. Singapore: Springer Nature Singapore, 2024. (CCF C)

[16] Chenyan Zhang(本科生), Yifei Chen, Zhenxiong Fan, Yiyu Huang, Wenchao Weng,Ruiquan Ge^#, Dong Zeng, Changmiao Wang^#. TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Oral, Athens, Greece, 2024, pp. 1-5, doi: 10.1109/ISBI56570.2024.10635308.

[15] Zhaoxin Guo,Zhipeng Wang,Ruiquan Ge^#,Jianxun Yu,Feiwei Qin,Yuan Tian,Yuqing Peng, Yonghong Li, Changmiao Wang#. PE-MVCNet: Multi-view and Cross-modal Fusion Networkfor Pulmonary Embolism Prediction. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Oral, Athens, Greece, 2024, pp. 1-5, doi: 10.1109/ISBI56570.2024.10635747.

[14] Zhanghao Chen(本科生), Yifei Sun, Ruiquan Ge^#, Wenjian Qin, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang^#. BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Oral, Athens, Greece, 2024, pp. 1-5, doi: 10.1109/ISBI56570.2024.10635371.

[13] Xinlei Yu(本科生), Xinyang Li, Ruiquan Ge^#, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang, Gangyong Jia, Taosheng Xu, Xiang Wan, Changmiao Wang^#. ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal Network.2024 IEEE International Symposium on Biomedical Imaging (ISBI), Oral, Athens, Greece, 2024, pp. 1-5, doi: 10.1109/ISBI56570.2024.10635317.

[12] Shan, Xuhao(本科生), Xinyang Li, Ruiquan Ge^#, Shibin Wu, Ahmed Elazab, Jichao Zhu, Lingyan Zhang et al. GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2217-2222. IEEE, 2023. (CCF B)

[11] Fang, Zhaojie(本科生), Zhanghao Chen(本科生), Pengxue Wei, Wangting Li, Shaochong Zhang, Ahmed Elazab, Gangyong Jia, Ruiquan Ge^#, and Changmiao Wang^#. UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-Wide-Angle Transformation Multi-scale GAN. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 745-755. Cham: Springer Nature Switzerland, MICCAI, 2023, (医学图像顶会, early accept).  (CCF B)

[10] Qingsong Wang(本科生), Xin Lin(本科生), Ruiquan Ge^#, Ahmed Elazab, Xiangyang Hu, Jionghao Cheng, Yuqing Peng, Xiang Wan, Changmiao Wang^#. MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration. In: Qin, W., Zaki, N., Zhang, F., Wu, J., Yang, F., Li, C. (eds) MICCAI Workshop. Computational Mathematics Modeling in Cancer Analysis. CMMCA 2023. Lecture Notes in Computer Science, vol 14243. Springer, Cham. (Best Paper).

[9]  Chen, Jingrui, Yujie Li, Jing Xiao, Ruiquan Ge, Wenjun Ma, and Xiaomao Fan. MSF-SleepNet: Multi-Stream Fusion Network with Contrastive Learning for Sleep Stage Classification. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1493-1496. IEEE, 2022.  (CCF B)

[8]  Li, Yilong, Yaqi Wang, Le Dong, Juan Ye, Linyan Wang, Ruiquan Ge, Huiyu Zhou, and Qianni Zhang. Light Annotation Fine Segmentation: Histology Image Segmentation Based on VGG Fusion with Global Normalisation CAM. In Computational Mathematics Modeling in Cancer Analysis: First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings, pp. 121-130. Cham: Springer Nature Switzerland, 2022.

[7] Ruiquan Ge, Yizhang Luo(本科生), Guanwen Feng, Gangyong Jia, Hua Zhang, Chong Xu, Gang Xu, Pu Wang，SuccSPred: Succinylation Sites Prediction Using Fused Feature Representation and Ranking Method. In: Wei, Y., Li, M., Skums, P., Cai, Z. (eds) Bioinformatics Research and Applications. ISBRA 2021. Lecture Notes in Computer Science(), vol 13064. Springer, Cham.  (CCF C)

[6]  Ruiquan Ge, Huihuang Cai, Xin Yuan, Feiwei Qin, Yan Huang, Pu Wang^*, Lei Lyu^*; MD-UNET: Multi-input Dilated U-shape Neural Network for Segmentation of Bladder Cancer, The 19th Asia Pacific Bioinformatics Conference (APBC2021), Tainan, Taiwan, 2021.02.03-2021.02.05.  (CCF C)

[5]  Ruiquan Ge, Xiaomao Fan and Pu Wang; Prediction of anticancer peptides with dictionary learning method, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2020), Seoul, Korea (South), 2020.12.16-2020.12.19, pp. 2585-2589.  (CCF B)

[4]  Ruiquan Ge, Guanwen Feng(本科生), Pu Wang and Qiguang Miao; ProFPred: a two-step protein function prediction model based on sequence and evolutionary information, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2020), Seoul, Korea (South), 2020.12.16-2020.12.19, pp. 1372-1376.  (CCF B)

[3]  Qing Wu, Xingfei Li, Quan Do, Jin Fan, Ruiquan Ge and Jie Wang; CTF-PSF: Coupled Tensor Factorization with Partially Shared Factors, 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 2018.07.08-2018.07.13. (CCF C)

[2]  Qing Wu, Yuanfeng Shen, Zheping Ma, Jin Fan and Ruiquan Ge; iBQPSO: an Improved BQPSO Algorithm for Feature Selection, 2018 International Joint Conference on Neural Networks (IJCNN2018), Rio de Janeiro, Brazil, 2018.07.08-2018.07.13. (CCF C)

[1]  Ruiquan Ge, Zhenfang Shan, Hao Kou. An Intelligent Surveillance System Based on Motion Detection[C]. 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology, Shenzhen, China,2011.10.28-2011.10.30

[2]  Ruiquan Ge, Qing Wu, Jinbo Xu; Computational Methods for Protein–Protein Interaction Network Alignment. In: Byung-Jun Yoon, Xiaoning Qian (eds), Recent Advances in Biological Network Analysis, 2021, Springer, Cham （Chapter）

[1]  Ruiquan Ge, Chuan Dong, Juexin Wang, and Yanjie Wei. Machine learning for peptide structure, function, and design. Frontiers in Genetics 13 (2022): 1007635. （Editor）.

专利

[3]  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 112908418 B。

[2]  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 114093427 B。

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