景丽萍
近期热点
资料介绍
个人简历
教育背景1996/09---2000/07 北方交通大学 计算机科学技术 学士/本科生 2000/09---2003/03 北京交通大学 计算机与信息技术 硕士/研究生 2003/09---2007/08 香港大学 理学院应用数学系 博士/研究生 工作经历2007/09---2007/12 香港浸会大学 理学院应用数学系 博士后研究员 2008/01---2008/12 美国德州大学达拉斯分校 计算机科学系 博士后研究员 2009/07---2009/08香港浸会大学 理学院应用数学系 访问学者 2010/07---2010/08香港浸会大学 理学院应用数学系 访问学者 2011/06---2011/07香港浸会大学 理学院应用数学系 访问学者 2009/03---2010/11 北京交通大学 计算机与信息技术学院 讲师 2010/12---2014/11 北京交通大学 计算机与信息技术学院 副教授 2014/12---至今 北京交通大学 计算机与信息技术学院 教授 2015/08--- 2016/08 美国加州大学伯克利分校 AMPLab & ICSI 访问学者研究领域
机器学习与认知计算人工智能及应用计算机技术(专业学位)软件工程(专业学位)人工智能技术(专业学位)"科研项目国家自然科学基金优秀青年基金 高维数据表示, 2019.01-2021.12,130万元,主持 北京市自然科学基金重点研究专题, 弱监督学习理论研究,2019.01-2022.12, 200万元,主持 国家自然科学基金面上项目,融合多源信息的可解释推荐模型与方法研究,2018.01-2021.12,65万元,主持 CCF-腾讯犀牛鸟科研基金项目: 融合多源信息的推荐模型构建与并行求解算法研究, 2015.10-2016.12近期论文
论文/期刊期刊论文: D. Dong, Liping Jing, J. Yu, Sentiment lexicon construction with hierarchical supervision topic model, IEEE/ACM Transactions on Audio, Speech and Language Processing, online publication, 10.1109/TASLP.2019.2892232, 2019 B. Liu, Liping Jing, J. Li, J. Yu, A. Gittens and M. Mahoney, Group collaborative representation for image set classification, International Journal of Computer Vision, 127(2):181-206, 2019. M. Chen, Liping Jing, J. Yu and M. K. Ng, Tensor-based low-dimensional representation learning for multi-view clustering, IEEE Trans. on Image Processing, 28(5):2399-2414,2019. 刘华锋,景丽萍,于剑.融合社交信息的矩阵分解推荐方法研究综述. 软件学报,2018,29(2):340-362 宋攀,景丽萍,融合标签关系的网络多标签分类,计算机研究与发展, 2018, 55(8): 1751-1759. Liping Jing, B. Liu, J. Choi, A. Janin, J. Bernd, M. Mahoney and G. Friedland, DCAR: a discriminative and compact audio representation for audio processing, IEEE Transactions on Multimedia, 19(12): 2637-2650, 2017. Liping Jing, C. Shen, L. Yang, J. Yu, and M. Ng*, Multi-label classification by semi-supervised Singular value decomposition, IEEE Trans. on Image Processing, 26(10):4612-4625, 2017. (SCI, IF:3.199) Liu Yang (student), Liping Jing*, Jian Yu, and Michael K. Ng. Learning transferred weights from co-occurrence data for heterogeneous transfer learning, IEEE Transactions on Neural Networks and Learning Systems, 27(11): 2187-2200, 2016. (ISSN: 2162-237X), (SCI IF: 4.37) Bo Liu (student), Liping Jing, Jian Yu and Jia Li, Robust graph learning via constrained Elastic-Net regularization, Neurocomputing, 171(1):299-312, 2016. (SCI) Liping Jing, K. Tian, and J.Z. Huang, Stratified feature sampling method for ensemble clustering of high dimensional data, Pattern Recognition, 48(11):3688-3702, 2015. (SCI) Liu Yang, Liping jing, and Michael K. Ng. Robust and non-negative collective ma- trix factorization for text-to-image transfer learning, IEEE Transactions on Image Processing, 24(12): 4701-4714, 2015. (SCI) Chao Zhang, Liping Jing, Naihua Xiu, A new active set on nonnegative matrix factorization, SIAM Journal of Scientific Computing, 36(6): A2633-A2653, 2014 (SCI) Liping Jing, and M. Ng, Sparse label-indicator optimization methods for image classification, IEEE Trans. on Image Processing, 23(3): 1002-1014, 2014 (SCI) Liping Jing, M. Ng and T. Zeng, Dictionary learning-based subspace structure identification in spectral clustering, IEEE Trans. on Neural Network and Learning Systems, 24(8): 1188-1199, 2013 (SCI). Y. Zhu, J. Yu, Liping Jing, A novel semi-supervised learning framework with simultaneous text representing, Knowledge and Information Systems, 34(3): 547-562, 2013 (SCI). 杨柳, 于剑, 景丽萍,一种自适应的大间隔近邻分类算法, 计算机研究与发展, 2012. (EI) Liping Jing C. Zhang and M. Ng, SNMFCA: Supervised NMF-Based Image Classification and Annotation, IEEE Trans. on Image Processing, 21(11):4508-4521, 2012 (SCI) J. Yun, Liping Jing, J. Yu and H. Huang, A multi-layer text classification framework based on two-level representation model, Expert System With Applications, 39(2): 2035-2046, 2012 (SCI) 朱岩, 于剑,景丽萍, 一种利用近邻和信息熵的主动文本标注方法,计算机研究与发展, 49(6):1306-1312, 2012 (EI) J.Yun, Liping Jing, H. Huang, and J. Yu. Multi-view LDA for Semantics-based Document Representation. Journal of Computational Information Systems. 7(12), 2011 (EI) Liping Jing, T. Zeng and M.K. Ng, On gene selection and classification for cancer microarray data using multi-step clustering and sparse representation, Advances in adaptive data analysis,3(1):127-148, 2011. (EI) Liping Jing and M.K. Ng, Prior Knowledge Based Mining Functional Modules from Yeast PPI Networks with Gene Ontology, BMC Bioinformatics, 11, 2010. (SCI) Liping Jing, M.K.Ng and J.Z.Huang, Knowledge-based vector space model for text clustering, Knowledge and Information System, 25(1):35-55, 2010. (SCI) Liping Jing, M.K. Ng and Y. Liu, Construction of gene networks with hybrid approach from expression profile and gene ontology, IEEE Trans. on Information Technology in Biomedicine, 14(1): 107-118, 2010. (SCI) Liping Jing, Michael K. Ng, and Joshua Z. Huang, An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data, IEEE transaction on knowledge and data engineering (TKDE), 19(8), 1026-1041, 2007. (SCI)中国计算机学会人工智能与模式识别专委会委员、中国人工智能学会机器学习专委会委员 国内期刊:计算机学报、软件学报、中国科学杂志审稿人 国际期刊与会议:IEEE TNNLS,IEEE TIP, IEEE TC, NIPS, Knowledge-based systems, Knowledge and information systems等审稿人标签: 北京交通大学 计算机与信息技术学院
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