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戴颖龙

发布人:日期:2020年12月02日 19:01浏览数:

基本信息

戴颖龙,男,博士,硕士生导师。2010年获得东北大学自动化专业学士学位;2012年获得东北大学控制理论与控制工程专业硕士学位;2018年获得中南大学计算机科学与技术专业博士学位。2012-2013年在三一重工智能研究院担任电子工程师。2016年暑期在中国散裂中子源实习,担任研究助理。2018年至今在湖南师范大学信息科学与工程学院人工智能系从事教学科研工作。

联系邮箱:daiyl@hunnu.edu.cn

研究方向

多模态深度学习、深度强化学习、多智能体系统。

科研项目

  1. 湖南省自然科学基金青年项目,2020JJ5367,多模态深度学习模型的信息融合关键技术研究,2020/01-2022/12,主持。

已发表的论文(www.researchgate.net/profile/Yinglong_Dai

  1. Yinglong Dai, Guojun Wang, Khan Muhammad, and Shuai Liu, A Closed-Loop Healthcare Processing Approach based on Deep Reinforcement Learning. Multimedia Tools and Applications, 2020. (SCI,IF=2.313,DOI:10.1007/s11042-020-08896-5)

  2. Yinglong Dai, Guojun Wang. A Deep Inference Learning Framework for Healthcare [J]. Pattern Recognition Letters, 2020, 139: 17-25. (SCI,IF=3.255,DOI: 10.1016/j.patrec.2018.02.009)

  3. Yinglong Dai, Guojun Wang, Jianhua Dai, and Oana GEMAN, A Multimodal Deep Architecture for Traditional Chinese Medicine Diagnosis. Concurrency and Computation: Practice and Experience, 2020, 32(19): e5781. (SCI,IF=1.447,DOI:10.1002/cpe.5781)

  4. Yinglong Dai, Guojun Wang, Kuan-Ching Li. Conceptual Alignment Deep Neural Networks [J]. Journal of Intelligent & Fuzzy Systems, 2018, 34(3): 1631-1642. (SCI,IF=1.851,DOI: 10.3233/JIFS-169457)

  5. Yinglong Dai, Guojun Wang. Analyzing Tongue Images Using a Conceptual Alignment Deep Autoencoder [J]. IEEE Access, 2018, 6(1): 5962-5972. (SCI,IF=3.745,DOI: 10.1109/ACCESS.2017.2788849)

  6. Yinglong Dai, Xiangyong Liu, Guojun Wang. A Body Simulator with Delayed Health State Transition [C]. International Conference on Ubiquitous Intelligence and Computing, IEEE Computer Society, 8-12 October 2018:635-641. (EI, DOI: 10.1109/SmartWorld.2018.00128)

  7. Yinglong Dai, Wang Yang, Guojun Wang. Package Balancing K-means Algorithm for Physical Distribution [J]. International Journal of Computational Science and Engineering, 2017, 14(4):349-358. (EI, DOI: 10.1504/IJCSE.2017.10005747)

  8. Yinglong Dai, Yinong Long, Xiaofei Xing, Guojun Wang. Exploring Body Constitution in Traditional Chinese Medicine with K-Means Clustering [C]. Asia-Pacific Services Computing Conference, Springer, 2016:52-64. (EI, DOI: 10.1007/978-3-319-49178-3_4)

  9. Yinglong Dai, Wenjun Jiang, Guojun Wang. Building Bayesian Inference Graphs for Healthcare Statistic Evidence [C]. International Conference on Parallel Processing Workshops. IEEE, 2016:415-420. (EI, DOI: 10.1109/ICPPW.2016.65)

  10. Yinglong Dai, Guojun Wang, Sihong Chen, Xiaofei Xing. Building Deep Architectures for Traditional Chinese Medicine Diagnosis [C]. International Conference on Ubiquitous Intelligence and Computing, IEEE Computer Society, 2017:959-966. (EI, DOI: 10.1109/UIC-ATC.2017.8397497)

  11. Yinglong Dai, Guojun Wang, Sihong Chen, Dongqing Xie, Shuhong Chen. Using Deep Neural Networks to Simulate Human Body [C]. International Symposium on Parallel and Distributed Processing with Applications, IEEE Computer Society, 2017:1-7. (EI, DOI: 10.1109/ISPA/IUCC.2017.00147)

  12. LI Kun,GAO Xian-wen,YANG Wei-bing,DAI Ying-long,TIAN Zhong-da. “Multiple fault diagnosis of down-hole conditions of sucker-rod pumping wells based on Freeman chain code and DCA” [J]. Petroleum Science. 2013, 10(3):347-360. (SCI,IF=1.323,DOI: 10.1007/s12182-013-0283-4)

特邀报告

  1. Exploring Healthcare Strategies by Deep Reinforcement Learning, International Workshop on Assistive Engineering and Information Technology (AEIT), 2019.

  2. Building Healthcare Information Loop Using Deep Neural Networks,IEEE International Symposium on Smart City and Informatization (iSCI),2018.

学术服务

The 10th International Workshop on Assistive Engineering and Information Technology (AEIT 2020),程序委员会主席。IEEE Journal of Biomedical and Health Informatics (JBHI),IEEE Reviews in Biomedical Engineering (RBME),Connection Science,Computers in Biology and Medicine (CBM)等国际期刊的审稿人。

其他

2009年全国大学生电子设计竞赛,声音导引智能小车,国家二等奖。

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