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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[1]
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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[2]
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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[3]
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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[4]
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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[5]
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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[6]
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.
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[7]
Yazhou Ren, Guoji Zhang, Guoxian Yu, and Xuan Li. Local and Global Structure Preserving based Feature Selection. Neurocomputing (SCI二区), 2012, 89:147-157.
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[8]
Yazhou Ren, Guoji Zhang, and Guoxian Yu. Random Subspace based Semi-Supervised Feature Selection. In Proceedings of 2011 International Conference on Machine Learning and Cybernetics (ICMLC) (EI会议), 2011, pages 113-118.
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[9]
Weiwei Zhang, Bin Ye, Weijiang Liang, and Yazhou Ren (*). Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer. Scientific Reports (SCI三区), 2017, 7(1): 1-8.
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[10]
Weiwei Zhang, Kejun Liu, Weijiang Liang, Bin Ye, and Yazhou Ren (*). Pretreatment C‐reactive protein/albumin ratio is associated with poor survival in patients with stage IB‐IIA cervical cancer. Cancer Medicine (SCI三区), 2018, 7(1): 105-113.
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[11]
Guoxian Yu, Guangyuan Fu, Chang Lu, Yazhou Ren and Jun Wang. BRWLDA: bi-random walks for predicting lncRNA-disease associations. Oncotarget (SCI一区), 2017, 8(36): 60429.
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[12]
Jun Wang, Long Zhang, Lianyin Jia, Yazhou Ren, Guo-Xian Yu. Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences. International Journal of Molecular Sciences (SCI三区), 2017, 18(11):1-17.
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[13]
Weiwei Zhang, Kejun Liu, Bin Ye, Yazhou Ren, and Weijiang Liang. Clinical and biological effects of tumor‑associated lymphocytes in the presence or absence of chemotherapy for malignant ascites in ovarian cancer patients. Oncology letters (SCI四区), 2017, 14(3): 3379-3386.
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[14]
Yanming Yu, Guo-Xian Yu, Xia Chen, and Yazhou Ren. Semi-supervised Multi-label Linear Discriminant Analysis. In Proceedings of International Conference on Neural Information Processing (ICONIP) (CCF C类会议), 2017, pages 688-698.
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[15]
Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu. Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer’s Disease. In Proceedings of International Conference on Neural Information Processing (ICONIP) (CCF C类会议), 2017, pages 463-473.
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[16]
Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe. Learning from Semantically Dependent Multi-Tasks. In Proceedings of the 2017 International Joint Conference on Neural Networks (IJCNN) (CCF C类会议), 2017, pages 3498-3505.
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[17]
Jiehua Wu, Guoji Zhang, and Yazhou Ren. A balanced modularity maximization link prediction model in social networks. Information Processing and Management (IPM) (SCI三区, CCF B类期刊), 2017, 53: 295–307.
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[18]
Jiehua Wu, Guoji Zhang, Yazhou Ren, Xiayan Zhang, and Qiao Yang. Weighted Local Naive Bayes Link Prediction, Journal of Information Processing Systems (EI期刊), 2017, 13(4): 914-927.
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[19]
Xiayan Zhang, Guoji Zhang, Xuan Li, Yazhou Ren, and Jiehua Wu. Image encryption using random sequence generated from generalized information domain. Chinese Physics B (SCI三区), 2016, 25(5): 054201.
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[20]
Jiehua Wu, Guoji Zhang, Yazhou Ren, Xiayan Zhang and Guoxian Yu. Exploiting Neighbors’ Latent Correlation for Link Prediction in Complex Network. In Proceedings of 2013 International Conference on Machine Learning and Cybernetics (ICMLC) (EI会议), 2013, pages 1077-1082.
