任亚洲
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副教授
硕士生导师
- 性别：男
- 毕业院校：华南理工大学
- 学历：博士研究生毕业
- 学位：工学博士学位
- 在职信息：在职人员
- 所在单位：计算机科学与工程学院（网络空间安全学院）
- 学科：计算机软件与理论
- 办公地点：成都市高新西区西源大道2006号 主楼B1-201
- 联系方式：031e033800cf48411fb000100e6612acdbc5b03fbecc12c4f2016210b17732d2f514929910a9fcb55535bf8d928acc3ae631a51dd7d21e4f681904f1b3cd8e9f95aa2160ccba29d27c7e4a615c73efbaa18f7d85fc432b27717b3879fe7391a7a0cf33dff5f1840d57f191e8624c2ffdca7a1acf2dc89545586e4a666c70d1a1
- 电子邮箱：031e033800cf48411fb000100e6612acdbc5b03fbecc12c4f2016210b17732d2f514929910a9fcb55535bf8d928acc3ae631a51dd7d21e4f681904f1b3cd8e9f95aa2160ccba29d27c7e4a615c73efbaa18f7d85fc432b27717b3879fe7391a7a0cf33dff5f1840d57f191e8624c2ffdca7a1acf2dc89545586e4a666c70d1a1
访问量：
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Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, and Zenglin Xu. Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) (CCF A类会议), 2017, pages 2641-2647.
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Yazhou Ren, Carlotta Domeniconi, Guoji Zhang, and Guoxian Yu. Weighted-object ensemble clustering: methods and analysis. Knowledge and Information Systems (KAIS) (SCI二区，CCF B类期刊), 2017, 51(2):661-689.
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Yazhou Ren, Peng Zhao, Zenglin Xu, and Dezhong Yao. Balanced self-paced learning with feature corruption. In Proceedings of the International Joint Conference on Neural Networks (IJCNN) (CCF C类会议), 2017, pages 2064-2071.
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Yazhou Ren, Uday Kamath, Carlotta Domeniconi, and Guoji Zhang. Boosted Mean Shift Clustering. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) (CCF B类会议), Nancy, France, September 15-19, 2014, pages 646–661.
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Yazhou Ren, Carlotta Domeniconi, Guoji Zhang, and Guoxian Yu. A Weighted Adaptive Mean Shift Clustering Algorithm. In Proceedings of the SIAM International Conference on Data Mining (SDM) (CCF B类会议), Philadelphia, Pennsylvania, April 24 - 26, 2014, pages 794-802.
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Yazhou Ren, Carlotta Domeniconi, Guoji Zhang, and Guoxian Yu. Weighted-Object Ensemble Clustering. In Proceedings of the IEEE 13th International Conference on Data Mining (ICDM) (CCF B类会议), Dallas, Texas, December 7 - 10, 2013, pages 627-636.
