(1)Xiaoqing Gu, Cong Zhang, Tongguang Ni. A hierarchical discriminative sparse representation classifier for EEG signal detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020. (2)Xiaoqing 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. (3)Xiaoqing 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. (4)Xiaoqing 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. (6)Yizhang 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. (7)Tongguang 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. (8)Tongguang 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. (10)Xiaoqing 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. (11)Xiaoqing 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. (12)Tongguang Ni, Xiaoqing Gu(*), Jun Wang. Scalable transfer support vector machine with group probabilities, Neurocomputing, 273, 570-582, 2018. (13)Xiaoqing 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. (14)Xiaoqing 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. (16)Xiaoqing 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. (17)Xiaoqing 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0阶TSK型模糊系统, 自动化学报, 43, 10, 1773-1788, 2017.
|