CHINA EDUCATION THINK TANK中
暂无公开信息
名称
任亚洲
职位
教授
院系
计算机科学与工程学院（网络空间安全学院）
研究领域
聚类；自步学习；半监督学习

个人简介

任亚洲，副教授，硕士生导师，长期从事人工智能理论（无监督学习、深度学习、多视图学习和自步学习等）及其在医疗行业的应用研究。于2010-2014年在华南理工大学攻读博士学位，完成了“高维数据上的聚类方法研究”的博士论文，曾获2013年（博士）研究生国家奖学金；2012年，受国家留学基金委资助，赴美国乔治梅森大学进行了为期两年的联合培养。

目前为止，在AAAI、IJCAI、CVPR、ICCV、ACM MM、ICDM、ECCV、SDM、ECML等国际顶级会议，以及TGRS、Neural Networks、KBS、Information Sciences等国际知名期刊上发表论文60多篇（其中第一作者和通讯作者30多篇），完成书籍章节1篇。Google引用1千余次。主持国家自然科学基金（NSFC）青年基金1项、四川省科技计划重点研发项目1项、广东省基础与应用基础研究基金1项、中国博士后科学基金1项、中央高校基本科研经费3项、校级重点教改项目1项；作为骨干成员参研科技创新2030- “新一代人工智能”重大项目、NSFC重点项目、四川省重大科技项目等多个项目。

社会兼职：是CSIAM（中国工业和应用数学学会）大数据与人工智能专委会委员；CCF（中国计算机学会）人工智能与模式识别专业委员会通讯委员；CCF成都分部委员；CAAI（中国人工智能学会）机器学习专业委员会会员。TPAMI、TKDE、TNNLS、TFS、Neural Networks、Pattern Recognition等期刊审稿人；AAAI、IJCAI、CVPR、ACM MM、ICDM、ICONIP等国际会议的程序委员会成员。

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任亚洲的研招网主页： https://yjsjy.uestc.edu.cn/gmis/jcsjgl/dsfc/dsgrjj/12513

任亚洲的学术主页：https://yazhou-ren.github.io/

教育经历

暂无公开信息

科研项目

  • 自步学习理论及其在阿兹海默病症诊断中的应用研究（No. ZYGX2016J078），中央高校基本科研业务费，9万，01/2017~12/2018，主持。
  • 针对阿兹海默病症的多任务自步学习算法研究（No. 2016M602674），中国博士后科学基金第60批面上资助，5万，01/2017~12/2018，主持。
  • 基于集成的大规模无参数聚类算法研究（No. ZYGX2015KYQD042），电子科技大学引进骨干教师科研启动基金，13.5万，01/2015~12/2016，主持。
  • 大规模张量分析中的非参贝叶斯学习技术研究（No. 61572111），国家自然科学基金（面上项目），73万，01/2016~12/2019，参与。
  • 基于移动互联网大数据的内容智能推荐场景和算法研究（No. MCM20150505），教育部-中国移动科研基金项目，100万，01/2016~12/2016，参与。
  • 可扩展的贝叶斯学习算法及在大规模社会网络中的应用（No. CASNDST201402），中国科学院网络数据科学与技术重点实验室开放基金，6万，01/2015~12/2016，参与。

论文／期刊

  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  21. 余国先，张国基，韦佳，任亚洲. 一种基于多图的集成直推分类方法. 电子与信息学报(EI期刊), 2011, 33(8): 1883-1888.