顾晓清

发布时间:2020-11-16浏览次数:4760



顾晓清

博士,副教授

常州大学计算机与人工智能学院

阿里云大数据学院

 
江苏常州 213164

办公电话:
E-MAIL:guxq@cczu.edu.cn
个人网页:

 


教育背景:

江南大学 数字媒体学院 轻工信息技术专业 工学博士

江南大学 信息工程学院 计算机应用专业 工学硕士
江南大学 理学院 计算与信息科学专业 理学学士

工作履历:

2006.04 - 常州大学 计算机专业 教师

学术兼职:

江苏省人工智能学会 会员

“江苏省JSAI人工智能基础与应用专业委员会”常务委员

International Journal of Health Systems and Translational Medicine》期刊 副主编

Journal of Medical Imaging and Health Informatics》专刊“Ubiquitous Computing for Deep Intelligent Health Perception”副主编

主授课程:

本科生课程:
2019~2020
学年:
大学计算机基础及数据库应用技术80学时;

2020~2021学年:大学计算机基础及Python序设计80学时

研究领域:

模式识别与人工智能,机器学习

奖励与荣誉:

2015年 常州大学高等教育教学成果奖 二等奖;

第六届全国高等学校计算机课件评比 二等奖

学术成果:

· 教材与专著

 

· 发表论文

1Xiaoqing Gu, Cong Zhang, Tongguang Ni. A hierarchical discriminative sparse representation classifier for EEG signal detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020.

2Xiaoqing Gu, Fu-lai Chung, Shitong Wang. Extreme vector machine for fast training on large data. International Journal of Machine Learning and Cybernetics. 11, 1, 33-53, 2020.

3Xiaoqing Gu, Tongguang Ni, Yiqing Fan. Scalable kernel convex hull online support vector machine for intelligent network traffic classification. Annals of Telecommunications, 75, 7-8:471-486, 2020.

4Xiaoqing Gu, Yizhang Jiang, Tongguang Ni. Discriminative neural network for coronary heart disease detection. Journal of Medical Imaging and Health Informatics, 10, 2: 463-468, 2020.

(5) Xiaoqing Gu, Tongguang Ni, Weibo Wang. Cross-domain transfer person re-identification via topology properties preserved local fisher discriminant analysis. Journal of Ambient Intelligence and Humanized Computing. 2020. 

6Yizhang Jiang, Xiaoqing Gu(*), Dongrui Wu, Wenlong Hang, Jing Xue, Shi Qiu, Lin Chin-Teng. A novel negative-transfer-resistant fuzzy clustering model with a shared cross-domain transfer latent space and its application to brain CT image segmentation. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020.

7Tongguang Ni, Xiaoqing Gu(*), Cong Zhang. An intelligence EEG signal recognition method via noise insensitive TSK fuzzy system based on interclass competitive learning.Frontiers in Neuroscience,14,837,2020.

8Tongguang Ni, Xiaoqing Gu(*), Yizhang Jiang. Transfer discriminative dictionary learning with label consistency for classification of EEG signals of epilepsy.Journal of Ambient Intelligence and Humanized Computing, 2020.

9顾晓清,倪彤光,张聪,戴臣超,王洪元. 结构辨识和参数优化协同学习的概率TSK模糊系统,自动化学报, 2019. 

10Xiaoqing Gu, Tongguang Ni, Yiqing Fan. A fast and robust support vector machine with anti-noise convex hull and its application in large-scale ncRNA data classification, IEEE ACCESS, 7: 134730-134741,2019.

11Xiaoqing Gu, Cong Zhang, Tongguang Ni. Feature selection and rule generation integrated learning for Takagi-Sugeno-Kang fuzzy system and its application in medical data classification, IEEE ACCESS, 7, 169029-169037, 2019.

12Tongguang Ni, Xiaoqing Gu(*), Jun Wang. Scalable transfer support vector machine with group probabilities, Neurocomputing, 273, 570-582, 2018.

13Xiaoqing Gu, Fu-lai Chung, Shitong Wang. Fast convex-hull vector machine for training on large-scale ncRNA data classification tasks. Knowledge-Based Systems, 151, 6, 149-164, 2018.

14Xiaoqing Gu, Shitong Wang. Bayesian Takagi-Sugeno-Kang fuzzy model and its joint learning of structure identification and parameter estimation. IEEE Transactions on Industrial Informatics. 14, 12, 5327-5337, 2018.

15顾晓清, 倪彤光, 姜志彬, 王士同. 面向大规模噪声数据的软性核凸包支持向量机, 电子学报, 46, 2: ‏347-357, 2018.

16Xiaoqing Gu, Fu-lai Chung, Hisao Ishibuchi, Shitong Wang. Imbalanced TSK fuzzy classifier by cross-class Bayesian fuzzy clustering and imbalance learning. IEEE Transactions on Systems Man Cybernetics-Systems, 47, 8, 2005-2020, 2017.

17Xiaoqing Gu, Fu-lai Chung, Shitong Wang. Bayesian Takagi-Sugeno-Kang Fuzzy Classifier. IEEE Transactions on Fuzzy Sytems,25, 6, 1655-1671, 2017.

18顾晓清, 蒋亦樟, 王士同. 用于不平衡数据分类的0TSK型模糊系统, 自动化学报, 43, 10, 1773-1788, 2017.


· 专利成果

1)顾晓清,倪彤光,万建武,薛磊.一种基于边界点的抗噪支持向量机的水蜜桃品质分级的方法,授权号:ZL201710541051.9

2)倪彤光,顾晓清. 一种基于极值点分类的网络入侵检测方法,授权号:ZL201711048813.8

3)倪彤光,顾晓清.基于知识学习和隐私保护的大数据用户购买意愿预测方法,授权号:ZL201410588278.5

4)倪彤光,顾晓清,郇战,宦娟.一种基于分组支持向量机的裘皮近红外光谱鉴别的方法,授权号:ZL 201410589498.X

5)倪彤光,顾晓清,王洪元,刘锁兰.一种藏獒幼犬纯度的自动化识别系统,授权号:ZL201410591352.1

6)顾晓清,倪彤光,丁辉. 针对DNS服务的拒绝服务攻击的数据过滤方法,授权号:ZL201210381191.1

研究项目:

主持国家自然科学基金青年项目61806026

主持江苏省自然科学基金青年项目BK20180956

主持江苏省教育科学“十三五”规划2018年度课题B-a/2018/01/41

参与3项国家自然科学基金和江苏省自然科学基金1项。


 

 

 


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