葛瑞泉

计算机科学与技术

健康大数据图像处理和生物信息学。

葛瑞泉,男,bob电竞ios 计算机学院副教授,硕士生导师,IEEE会员,CCF会员。2017年毕业于中国科学院深圳先进技术研究院计算机应用专业,获工学博士学位。2019-2020年访学于美国芝加哥丰田计算技术研究所Toyota Technological Institute at ChicagoTTIC

 

研究领域:主要从事图像处理,健康大数据和生物信息学等方面研究。运用图像处理和自然语言处理等人工智能技术对医学图像、电子病历和生物序列等数据进行分析挖掘,以解决生物医学领域的关键热点和难点问题。在国内外期刊和国际会议上发表SCI/EI论文30篇,合著英文学术专著1本,担任多本SCI国际期刊审稿人。主持承担国家自然科学基金青年和浙江省自然科学基金探索项目分别1项,参与科技部重点研发、国家自然科学基金区域联合重点项目和浙江省尖兵领雁重大项目等多项。

 

学术链接:https://scholar.google.com/citations?user=Moa5XSkAAAAJ&hl=en

联系邮箱:gespring@hdu.edu.cn

 

发表论文:

期刊论文:(* 第一作者# 通讯作者

1. Guanwen Feng, 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, 145, 105459.

2. Yixiao Xia, 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, 2022 (accepted).

3. Minchao Jiang*, 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. Front. Genet. 13:884589. 2022.

4. 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. Computational Biology and Chemistry, 93(2021), 107510.

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

6. 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.

7. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. 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.

 

专著

1. 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.

 

会议论文

 

1. Yilong Li, Yaqi Wang#, Le Dong, Juan Ye, Linyan Wang, Ruiquan Ge, Huiyu Zhou, Qianni Zhang#, Light Annotation Fine Segmentation: Histology Image Segmentation based on VGG Fusion with Global Normalisation CAM. 25th International Conference on Medical Image Computing and Computer Assisted Intervention. MICCAI 2022, CMMCA2022. (accepted)

2. Ruiquan Ge, Yizhang Luo, Guanwen Feng, Gangyong Jia, Hua Zhang, Chong Xu, Gang Xu, Pu WangSuccSPred: 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. https://doi.org/10.1007/978-3-030-91415-8_17.

3. 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.

4. 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.

5. Ruiquan Ge, Guanwen Feng, 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.

6. 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.

7. 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.

8. 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

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.