夏书银
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教授
博士生导师
硕士生导师
- 主要任职：人工智能学院副院长
- 其他任职：网络空间大数据智能计算教育部重点实验室副主任
- 性别：男
- 毕业院校：重庆大学
- 学历：研究生(博士)毕业
- 学位：工学博士
- 在职信息：在岗
- 所在单位：人工智能学院
- 办公地点：信息科技大厦19楼1907
- 联系电话：xiasy@cqupt.edu.cn
- 电子邮箱：601352ce526f516e76b7bd974286152f149998ae8c5414cda901e8d4c39d5adc75bb2cf8f1bb418d9fc8e99a20046cede9c697465576562c4500078f803d076e296b2a42f87b3e807811658902af33cb0fdd7cd3e2754eec3429937106938667dfe79c64acf75bd7c276410a9fbde27fa87fb43da05d6278f4e98ee24f48e118
访问量：
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[21] Shuyin Xia，Yueguo Luo,Qun Liu,Hong Yu,Yulong Xia.Transferring ensemble representations using deep convolutional neural networks for small-scale image classification.[J].IEEE Access,2019,7:168175-168186.
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[22] Shuyin Xia，Guoyin Wang,Zizhong Chen,Yanling Duan,Qun Liu.Complete random forest based class noise filtering learning for improving the generalizability of classifiers.[J].IEEE Transactions on Knowledge and Data Engineering,2019,31(11):2063-2078.
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[23] Baiyun Chen，Shuyin Xia,Zizhong Chen,Binggui Wang,Guoyin Wang.RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise.[J].Information Sciences,2020
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[24] Shuyin Xia，Xinbo Gao,Deyu Meng,Yunlong Cheng,Xinyu Bai.An efficient and accurate rough set for feature selection, classification, and knowledge representation.[J].IEEE Transactions on Knowledge and Data Engineering,2022,35(8):7724-7735.
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[25] Qin Xie，Shuyin Xia.Approximate Borderline Sampling using Granular-Ball for Classification Tasks.[C].IEEE International Conference on Data Engineering,
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[26] Shuyin Xia，Baiyun Chen,Guoyin Wang,Yong Zheng,Xinbo Gao,Elisabeth Giem,Zizhong Chen.mCRF and mRD: Two Classification Methods based on a Novel Multiclass Label Noise Filtering Learning Framework.[J].IEEE Transactions on Neural Networks and Learning Systems,2021
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[27] Shuyin Xia，Xiaoyu Lian,Xinbo Gao,Guoyin Wang.Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method.
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[28] Shuyin Xia，Guoyin Wang,Hong Yu,Qun Liu,Jin Wang.Vibration-Based Outlier Detection on High Dimensional Data.International journal on artificial intelligence tools,2016,25(3):7021-7029.
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[29] Shunyin Xia，Qun Liu,Yanling Duan,Zizhong Chen,Guoyin Wang.Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers.IEEE Transactions on Knowledge and Data Engineering,2019,31(11)
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[30] Shuyin Xia，Guoyin Wang,Yunsheng Liu.Granular-ball computing classifiers for efficient, scalable and robust learning.[J].Information science,2019
