聂飞平 - 西北工业大学

个人简介

工作经历 2008年至2009年曾在新加坡南洋理工大学从事研究工作，之后在美国德州大学阿灵顿分校先后担任研究助理教授，研究副教授，研究教授担任西北工业大学“光学影像分析与学习中心”教授、博士生导师教育经历毕业于清华大学自动化系，获博士学位

研究领域

主要研究兴趣为模式识别与机器学习中的理论探索和方法设计，将所设计的方法成功应用于图像视频标注与识别、多媒体信息检索、生物信息学等各种实际问题中。

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Feiping Nie, Cheng-Long Wang, Xuelong Li. K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters. The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Anchorage, AK, USA, 2019. [code] Lai Tian, Feiping Nie, Xuelong Li. A Unified Weight Learning Paradigm for Multi-view Learning. In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. Di Hu, Feiping Nie, Xuelong Li. Deep Multimodal Clustering for Unsupervised Audiovisual Learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Di Hu, Dong Wang, Feiping Nie, Qi Wang, Xuelong Li. Listen to the Image. In Proceedings of the IEEEConference on Computer Vision and Pattern Recognition (CVPR), 2019. Feiping Nie, Sheng Yang, Rui Zhang, Xuelong Li. A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization. IEEE Transactions on Image Processing (TIP) 28 (5), 2428-2438,2019. Feiping Nie, Zhanxuan Hu, Xuelong Li. Matrix Completion Based on Non-Convex Low-Rank Approximation. IEEE Transactions on Image Processing (TIP) 28 (5),2378-2388, 2019. Rui Zhang, FeipingNie, Muhan Guo, Xian Wei, Xuelong Li. Joint Learning of Fuzzy k-Means and Nonnegative Spectral Clustering With Side Information. IEEE Transactions on Image Processing (TIP) 28(5), 2152-2162, 2019. Kun Zhan, Feiping Nie, Jing Wang, Yi Yang. Multiview Consensus Graph Clustering. IEEE Transactions on Image Processing (TIP) 28(3), 1261-1270, 2019. Di Hu, FeipingNie, Xuelong Li. Discrete Spectral Hashing for Efficient Similarity Retrieval. IEEE Transactions on Image Processing (TIP) 28 (3), 1080-1091, 2019. Yanwei Pang, Bo Zhou, Feiping Nie. Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction. IEEE Transactions on NeuralNetworks and Learning Systems (TNNLS),2019. Zhang, Rui, Feiping Nie, Yunhai Wang, Xuelong Li. Unsupervised Feature Selection via Adaptive Multimeasure Fusion. IEEE Transactions on Neural Networks and Learning Systems (TNNLS),2019. Feiping Nie, Han Zhang, Rui Zhang, Xuelong Li. Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning. IEEE Transactions on Image Processing (TIP), 2018. Xiaojun Chen, Guowen Yuan, Feiping Nie, Ming Zhong. Semi-supervised Feature Selection via Sparse Rescaled Linear Square Regression. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018. Shuangli Liao, Quanxue Gao, Zhaohua Yang, Fang Chen, Feiping Nie, Jungong Han. Discriminant Analysis via Joint Euler Transform and l21-Norm. IEEE Transactions on Image Processing (TIP) 27(11), 5668-5682, 2018. Han Zhang, Feiping Nie, Rui Zhang, Xuelong Li. Auto-weighted 2-dimensional maximum margin criterion. Pattern Recognition (PR) 83, 220-229, 2018. Xuelong Li, Han Zhang, Rui Zhang, Yun Liu, Feiping Nie. Generalized Uncorrelated Regression with Adaptive Graph for Unsupervised Feature Selection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018. Qi Wang, Jia Wan, Feiping Nie, Bo Liu, Chenggang Yan, Xuelong Li. Hierarchical Feature Selection for Random Projection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.