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蔡佳个人简介

来源:统计与数学学院网站发布时间:2020-06-04

姓名

蔡佳

职称

教授

 

学位

研究生/博士

电子邮箱

jiacai1999@gdufe.edu.cn

研究方向

机器学习,模式识别

个人主页或

个人微信公众号

 

主讲

课程

最优化方法,科学工程与计算,实验设计与分析,统计学习导论

教研

成果

主持《最优化方法》双语课程教研教改项目。

科研

成果

1.国家自然科学基金面上项目,项目编号: 11871167,面向大规模多视角数据的相关性研究及其应用,在研,主持。

2. 国家自然科学基金青年基金项目,项目编号: 11401112,学习理论中的核典型相关分析及相关算法的研究和应用,已结题,主持。

3. 国家统计局重点项目,项目编号: 2016LZ47,大数据背景下关于社交网络舆情监测的研究,在研,主持。

4. 广州市科技计划,项目编号: 201707010228,大数据背景下基于相关性分析的多媒体信息检索算法研究,在研,主持。

学术

论文

[1]. Jia Cai,Wei Dan,Xiaowei Zhang, 0-based sparse canonical correlation analysis with application to cross-language document retrieval. Neurocomputing, Volume 329,  2019,  32-45. (影响因子3.317,SCI二区)

[2].Jia Cai, Xiaolin Huang. Modified sparse linear discriminant analysis via nonconvex penalties. IEEE Transactions on Neural Networks and Learning Systems, Volumn 29, no. 10, 2018,4957 - 4966.(影响因子6.108,SCI一区)

[3]. Jia Cai, Yi Tang. A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval. Neural Networks, Volumn 98, 2018, 178-191.(影响因子5.287,SCI二区)
[4].Jia Cai, Hongwei Sun. Constrained ERM learning of canonical correlation analysis: a least squares perspective. Neural Computation, Volumn 29, Issue 10, 2017, 2825-2859.  (影响因子2.207, SCI三区)

[5].Jia Cai, Xiaolin Huang. Robust kernel canonical correlation analysis with applications to information retrieval. Engineering Applications of Artificial Intelligence, Volumn 64, 2017, 33-42. (影响因子2.894,SCI二区)

[6]. Jia Cai, Hongwei Sun. Kernel-based conditional canonical correlation analysis via modified Tikhonov regularization. Applied and Computational Harmonic Analysis, Volumn 41, 2016, 692712 (影响因子2.634,SCI一区)

[7]. Jia Cai,Yi Tang, Jianjun Wang. Kernel canonical correlation analysis via gradient descent. Neurocomputing, Volumn 182, 2016, 322-331 (影响因子3.317,SCI二区)

[8].Jia Cai, Daohong Xiang. Statistical consistency of coefficient-based conditional quantile regression. Journal of Multivariate Analysis, Volumn 149, 2016, 1-12.(影响因子0.901,SCI三区)

[9].Jia Cai. An operator approach to analysis of conditional kernel canonical correlation. International Journal of Wavelets Multiresolution and Information Processing, 2015,13: Article ID: 150024, 14 pages. (影响因子0.463,SCI四区)

[10]. Cheng Wang, Jia Cai,  Convergence analysis of coefficient-based regularization under moment incremental condition. International Journal of Wavelets, Multiresolution and Information Processing, Volume 12, Issue 1, 2014, 19 pages. (通讯作者,影响因子0.463,SCI四区)

[11]. 蔡佳, 王承, 无界抽样情形下不定核的系数正则化回归。 中国科学A 辑,  第43卷,  第6期,  613-624,  2013.

[12]. Jia Cai, The distance between feature subspaces of kernel canonical correlation analysis.  Mathematical and Computer Modelling, Volume 57, Issuses 3-4, 970-975, 2013.(SCI二区)

[13].Jia Cai, Coefficient-based regression with non-identical unbounded sampling. Abstract and Applied Analysis. 2013, Article ID 134727. (原SCI二区)

[14]. Jia Cai, Hongwei Sun, Convergence rate of kernel canonical correlation analysis. Science in China, Series A: Mathematics, Volume 54,  Issue 10, 2161-2170, 2011. (影响因子1.07, 中国科学A辑英文版,  SCI),

[15]. Jia Cai, Hongyan Wang, Ding-Xuan Zhou, Gradient learning in a classification setting by gradient descent. Journal of Approximation Theory, Volumn161, 2009 674-692.(影响因子0.931,SCI三区)

学术

兼职

广东省计算数学学会理事,广东省工业与应用数学学会青年分会委员

个人

荣誉

广东省“千百十人才培养工程”第八批校级培养对象,2013年1月获聘卓越青年教师校长特聘教授