龙虎游戏稳赢方法

刘立成

一、基本情况


刘立成,男,博士,教授、岳麓学者、博士生导师, 湖南省优秀青年基金获得者,2016年获澳门博士科技研发奖,IEEE会员。近年来,在国际权威期刊和会议发表论文30余篇,其中以第一作者/通讯作者发表IEEE Transactions论文10篇,中科院一区8篇,影响因子>10的论文8篇,ESI高被引论文2篇。担任ICME2021(CCF B类会议)地区主席(Area Chair)和分会场主席(Session Chair),ICCGV2021会议的分会场主席。主持国家自然科学基金面上项目1项、国家自然科学基金青年项目1项、湖南省优秀青年基金1项、湖南省自然科学基金青年项目1项、中央高校基本科研业务费1项,参加国家自然科学基金重点项目1项,科技部重点研发计划专项1项。


二、联系方式


电话:15574967189

Email:lichenghnu@gmail.com; lichenghnu@163.com

地址:龙虎游戏稳赢方法

科研在线上的个人主页(有相关论文的code):

http://www.escience.cn/people/liulicheng/index.html;jsessionid=C53B63602959205FE0C566502C47DCDA-n2

三、学习工作经历


09/2006-07/2010  中国地质大学(武汉),学士。

09/2010~07/2012  龙虎游戏稳赢方法,硕士,导师:蒋月评教授。

09/2012~04/2016  澳门大学,博士(PhD),导师:Prof. C. L. Philip Chen(陈俊龙教授、IEEE Fellow、欧洲科学院院士)。

07/2016~目前       龙虎游戏稳赢方法,电气与信息工程学院,助理教授、副教授。

四、研究领域


图像处理,计算机视觉,机器学习,人工智能

五、学生培养


    1. 本实验室目前以科学研究、学术创新为主要导向
    2. 根据经费情况会尽可能对学生进行生活补助
    3. 对于发表CCF B类以上高水平会议论文的学生将全额资助参加会议,优秀的学生视本人意愿可推荐到澳门大学读博(
澳门大学濠江博士生待遇:免学费+月薪2万)

欢迎有志于从事图像处理、计算机视觉、模式识别、人工智能等领域研究的同学报读我的研究生。

六、主持项目


1. 中央高校基本科研业务费,项目编号:531107050878,2016.07-2021.07,主持

2. 国家自然科学基金青年项目,项目编号:61702169,2018.01-2020.12,主持

3. 湖南省自然科学基金青年项目,项目编号:2018JJ3070,2018.01-2020.12, 主持

4. 湖南省优秀青年基金,项目编号:2020JJ3014,2020.01-2022.12,主持

5. 国家自然科学基金面上项目,项目编号:62071174,2021.01-2024.12,主持

七、发表论文 *表示通讯作者)


SCI期刊论文

[1]C. L. Philip Chen,Licheng Liu*(通讯作者), Long Chen, Yuan Yan Tang, and Yicong Zhou.Weighted Couple Sparse Representation With Classified Regularization for Impulse Noise Removal.IEEE Transactions on Image Processing,vol. 24, pp. 4014-4026, 2015.(CCF A类,中科院1区top,图像处理领域国际顶级期刊, IF:10.856).

[2]Licheng Liu, Long Chen, C. L. Philip Chen, Yuan Yan Tang, and Chi Man Pun.Weighted Joint Sparse Representation for Removing Mixed Noise in Image,IEEE Transactions on Cybernetics, vol. 47, pp. 600-611, 2017.CCF B类,中科院1Top,入选ESI高被引论文,IF:11.448.

[3] Licheng Liu, C. L. P. Chen, S. Li, Y. Y. Tang, and L. Chen,"Robust Face Hallucination via Locality-Constrained Bi-Layer Representation,"IEEE Transactions on Cybernetics, vol. 48, pp. 1189-1201, 2018.(中科院1Top, IF:11.448.

[4] Licheng Liu, C. L. P. Chen, X. You, Y. Y. Tang, Y. Zhang, and S. Li, "Mixed Noise Removal via Robust Constrained Sparse Representation," IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, pp. 2177-2189, 2018. CCF B类,中科院2区).

[5]Licheng Liu, S. Li, and C. L. P. Chen, "Quaternion Locality-Constrained Coding for Color Face Hallucination," IEEE Transactions on Cybernetics, vol. 48, pp. 1474-1485, 2018.(中科院1区Top, IF:11.448).

[6] Licheng Liu, S. Li, and C. L. P. Chen, "Iterative Relaxed Collaborative Representation with Adaptive Weights Learning for Noise Robust Face Hallucination," IEEE Transactions on Circuits and Systems for Video Technology, in press, 2018. CCF B类,中科院2区).

[7] Licheng Liu, Rushi Lan, and Yaonan Wang, "Discriminative Face Hallucination via Locality-constrained and Category Embedding Representation". IEEE Transactions on Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2020.2965572, 2020.(中科院2区,IF:13.451).

[8] Licheng Liu, C. L. Philip Chen, Shutao Li, "Hallucinating Color Face Image by Learning Graph Representation in Quaternion Space", DOI: 10.1109/TCYB.2020.2979320, IEEE Transactions on Cybernetics.(中科院1Top, IF:11.448.

[9] Licheng Liu, et. al. , "Noise Robust Face Hallucination Based on Smooth Correntropy Representation," IEEE Transactions on Neural Networks and Learning Systems, pp. 1-13, 2021.(中科院1Top, IF:10.451.

[10] Licheng Liu, et. al. , "Modal Regression-Based Graph Representation for Noise Robust Face Hallucination," IEEE Transactions on Neural Networks and Learning Systems, pp. 1-13, 2021.(中科院1Top, IF:10.451.

[11] Licheng Liu, C. L. Philip Chen, Yicong Zhou, and Xinge You. A new weighted mean filter with a two-phase detector for removing impulse noise.Information Sciences, vol. 315, pp. 1-16, 2015.CCF B类,中科院2区).

[12] Licheng Liu, Han Liu, Shutao Li, and C. L. Philip Chen, "Face Hallucination via Multiple Feature Learning with Hierarchical Structure", Information Sciences, DOI: https://doi.org/10.1016/j.ins.2019.06.017, 2019.SCI,CCF B类,中科院2区).

[13] Na Li, Licheng Liu*(通讯作者), Shutao Li, and Hui Lin, "Robust Face Hallucination via Locality-constrained Multiscale Coding", Information Sciences, DOI: https://doi.org/10.1016/j.ins.2019.06.041, 2019.SCI,CCF B类,中科院2区).

[14] Long Chen,Licheng Liu*(通讯作者), and C. L. Philip Chen,"A robust bi-sparsity model with non-local regularization for mixed noise reduction," Information Sciences,vol. 354, pp. 101-111, 2016.SCI,CCF B类,中科院2区).

[15] T.Xie, S. Li, L. Fang, Licheng Liu, "Tensor Completion via Nonlocal Low-Rank Regularization", IEEE Transactions on Cybernetics, in press, 2018.(中科院1Top, IF:10.387

[16] Yicong Zhou, Weijia Cao, Licheng Liu, Sos Agaian, and C. L. Philip Chen. Fast Fourier Transform Using Matrix Decomposition.Information Sciences,vol. 291, pp. 172–183, 2015.CCF B类,中科院2区).

[17] Yushu. Zhang, L. Y. Zhang, Jiantao. Zhou,Licheng. Liu, Fei Chen, and Xing He,"A Review of Compressive Sensing in Information Security Field," IEEE Access, vol. 4, pp. 2507-2519, 2016.(中科院3区,ESI高被引论文

八、获奖情况


10/2016             澳门特别行政区博士科技研发奖(颁发单位:澳门科技基金委)

 

龙虎游戏稳赢方法-玩龙虎怎么才能赢