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王雅娣

日期:2021年12月14日   


教师信息


姓 名

王雅娣

性 别


职 称

副教授

办公电话

0371-23883088

电子信箱

yadiwang@henu.edu.cn

系室分类

数据科学系

个人主页

暂未填写

研究方向


机器学习

特征选择

神经动力学系统

生物信息学


教育及工作经历  



2020-10至今,鸭脖手机版登录,鸭脖手机版登录,教师。

2016-092020-09,东南大学,计算机科学与工程学院,博士。

2019-092020-02,香港城市大学,计算科学系,联合培养博士研究生。

社会及学术兼职  


The 11th International Conference on   Information Science and Technology (ICIST 2021) 出版主席

学术期刊及国际会议论文审稿人:

IEEE Transactions on Cybernetics (SCI,中科院一区TOP期刊)

IEEE Transactions on Neural Networks and   Learning Systems (SCI,中科院一区TOP期刊)

Neural NetworksSCI

Journal of Integrative Neuroscience SCI

Proc. of the ICIST EI

Proc. of the ICICIP EI

奖励及荣誉


2021年鸭脖手机版登录优秀毕业论文指导教师;

2018学年东南大学教育基金-深交所奖学金

IEEE CSCWD 2019会议最佳学生论文。


主讲课程


《行业大数据应用》《Python编程基础》

 


论文著作



[1] Yadi Wang, Jun Wang, and Hangjun   Che, Two-timescale neurodynamic approaches to supervised feature selection   based on alternative problem formulations, Neural Networks, 142:   180-191,2021. (SCI中科院二区 , CCF B类期刊)

[2] Yadi Wang, Xiaoping Li, and Jun   Wang. A neurodynamic optimization approach to supervised feature selection   via fractional programming. Neural Networks, 136: 194–206, 2021. (SCI中科院二区 , CCF B类期刊)

[3] Xiaoping Li, Dongyuan Pan,Yadi Wang, and Ruben Ruiz, Scheduling multi-tenant cloud workflow tasks   with resource reliability, SCIENCE CHINA Information Sciences (SCIS), Accept.CCF A类期刊);

[4] Xiaoping Li, Yadi Wang*, and   Ruben Ruiz. A survey on sparse learning models for feature selection, IEEE   Transactions on Cybernetics, DOI: 10.1109/TCYB.2020.2982445. (SCI中科院一区, TOP期刊, CCF B类期刊, IF 11.079)

[5] Yadi Wang, Xiaoping Li, and   Ruben Ruiz. Weighted general group lasso for gene selection in cancer   classification, IEEE Transactions on Cybernetics, 49(8): 2860- 2873, 2019.   (SCI中科院一区,   TOP期刊, CCF B类期刊)

[6] Yadi Wang, Xin-Guang Yang, and   Yongjin Lu. Informative gene selection for microarray classification via   adaptive elastic net with conditional mutual information, Applied   Mathematical Modelling, 71: 286-297,2019. (SCI中科院一区, TOP期刊)

[7] Juntao Li, Yadi Wang*, Huimin   Xiao, and Cunshuan Xu. Gene selection of rat hepatocyte proliferation using   adaptive sparse group lasso with weighted gene co-expression network   analysis, Computational Biology and Chemistry, 80: 364-373, 2019. (SCI)

[8] Yadi Wang, Xin-Guang Yang, and   Xingjie Yan, Dynamics of 2D Navier-Stokes equations with Rayleigh's friction   and distributed delay, Electronic Journal of Differential Equations, 80:   1-18, 2019. (SCI)

[9] Yadi Wang, Xiaoping Li, Ruben   Ruiz and Xia Zhu. Feature selection via adaptive spectral clustering based on   joint mutual information, IEEE 23rd International Conference on Computer   Supported Cooperative Work in Design (IEEE CSCWD), pp. 164-169, 2019. (EI, CCF   C类会议)

[10] Yadi Wang, Xiaoping Li, and   Jun Wang, A Neurodynamic approach to L0-constrained optimization, The 12th   International Conference on Advanced Computational Intelligence (ICACI2020),   pp. 14-16, 2020.EI;

[11] Juntao Li, Yadi Wang, Yimin   Cao, Cunshuan Xu. Weighted doubly regularized support vector machine and its   application to microarray classification with noise. Neurocomputing, 173(P3):   595-605, 2015. (SCI 中科院二区, CCF C类期刊)

[12] Juntao Li, Yadi Wang,   Xin-Guang Yang. Pullback attractors of 2D Navier-Stokes equations with weak   damping, distributed and continuous delay, Mathematical Methods in the   Applied Sciences, 39(12): 3186-3203, 2016. (SCI)

[13] Juntao Li, Yadi Wang, Huimin   Xiao. Consensus seeking of multi-agent systems from an iterative learning   perspective, International Journal of Control, Automation and Systems, 14(5):   1173–1182, 2016. (SCI)

[14] Juntao Li, Yadi Wang,   Xin-Guang Yang. Pullback attractors of 2D Navier-Stokes equations with weak   damping and continuous delay. Boundary Value Problems, 2015(1):3186-3203,   2015. (SCI)

[15] Juntao Li, Yimin Cao, Yadi Wang,   Huimin Xiao. Online learning algorithms for double-weighted least squares   twin bounded support vector machines. Neural Processing Letters, 45(1):1-21,   2016. (SCI)

[16] Juntao Li, Yadi Wang*. On   exponential convergence of coordination learning control for multi-agent   formation. Journal of Computational Information Systems,    11(11):4113-4122,2015. (EI期刊)

[17] Juntao Li, Yadi Wang, Yimin   Cao, et al. Solution path algorithm for the fuzzy weighted doubly regularized   support vector machine. Proceedings of the 2015 27th Chinese Control and   Decision Conference, 5579-5583, 2015. (EI会议).


科研项目



Ø  基于自适应组效应稀疏学习的高维数据特征选择,国家自然科学基金青年项目(62106066),2022-012024-12,主持;

Ø  面向高维数据的自适应稀疏学习模型构建及应用,2022年度河南省高等学校重点科研项目(22A520019),2022-012023-12,主持;

Ø  面向无人自主系统跨媒体识别的类脑心智计算研究, 国家自然科学基金面上项目(62176087), 2022-012025-12,主要成员。

Ø  带数据安全等级约束的云服务工作流调度,国家自然科学基金面上项目(61872077),2019-012022-12, 参加。

Ø  专业科技资源及服务集成技术,国家重点研发计划项目(2017YFB1400800),2017-122021-06,参加

Ø  开放式资源及服务集成模型与机理,国家重点研发计划课题(2017YFB1400801),2017-122021-06,参加


   



李钧涛; 王雅娣; 丁莹; 李明; 陈留院; 董文朋; 穆晓霞; 一种基于网络分析的群LASSO特征分群方法,2016-02-17,中国,ZL201510703382.9


   



欢迎有志于从事机器学习与人工智能的同学加入团队学习,河南省空间信息处理工程实验室将为各位同学提供良好的科学研究和工程研发条件。本人主要研究方向为:机器学习、稀疏学习、特征选择、神经动力学系统等。本人承诺对自己学生认真负责,充分挖掘和尊重学生的特点和兴趣进行针对性指导,无论在学业上、科研上、生活上,都会将自身所学所感与所悟倾囊相授,帮助优秀的同学在科研之路走的更加顺畅。欢迎同学们报考我们团队的研究生!









 

 

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