Feiping Nie

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Heng HuangJohn A. Jurenko Endowed Professor, Electrical and Computer Engineering, University of PittsburghVerified email at pitt.edu
Xuelong Li (Executive Councilor of AA...Professor, Northwestern Polytechnical University, ChinaVerified email at ieee.org
Changshui ZhangDept. Automation, Tsinghua University, Beijing, ChinaVerified email at mail.tsinghua.edu.cn
Chris H.Q. Ding （丁宏强）Chair Prof. Chinese Univ of Hong Kong, Shenzhen. Emeritus Prof. Univ of Texas, Arlington.Verified email at cuhk.edu.cn
Yi YangZhejiang UniversityVerified email at zju.edu.cn
Hua WangColorado School of MinesVerified email at mines.edu
Shiming XiangNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
Xiaojun ChangDirector of The ReLER Lab and Professor in Artificial Intelligence, University of Technology SydneyVerified email at uts.edu.au
Chenping HouNational University of Defense TechnologyVerified email at nudt.edu.cn
Xiao CaiFacebookVerified email at fb.com
Dong Xu, Chair in Computer Engineeri...University of SydneyVerified email at sydney.edu.au
Junwei HanProfessor, Northwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Xiaojun ChenShenzhen UniversityVerified email at szu.edu.cn
Qi WangNorthwestern Polytechnical UniversityVerified email at nwpu.edu.cn
Xiaoqian WangPurdue UniversityVerified email at purdue.edu
Zhihui LiSchool of Computer Science and Engineering, University of New South WalesVerified email at unsw.edu.au
Yueting ZhuangProfessor of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
Li ShenProfessor of Informatics, University of Pennsylvania Perelman School of MedicineVerified email at pennmedicine.upenn.edu
Andrew SaykinIndiana University School of MedicineVerified email at iu.edu
Yangqiu SongHKUSTVerified email at cse.ust.hk

Feiping Nie

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Machine Learning Pattern Recognition Computer Vision Data Mining Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Efficient and robust feature selection via joint ℓ2, 1-norms minimization F Nie, H Huang, X Cai, C Ding Advances in neural information processing systems 23, 2010	1900	2010
Learning a Mahalanobis distance metric for data clustering and classification S Xiang, F Nie, C Zhang Pattern recognition 41 (12), 3600-3612, 2008	660	2008
Clustering and projected clustering with adaptive neighbors F Nie, X Wang, H Huang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	571	2014
Multi-view k-means clustering on big data X Cai, F Nie, H Huang Twenty-Third International Joint conference on artificial intelligence, 2013	502	2013
Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction F Nie, D Xu, IWH Tsang, C Zhang IEEE Transactions on Image Processing 19 (7), 1921-1932, 2010	454	2010
The constrained laplacian rank algorithm for graph-based clustering F Nie, X Wang, M Jordan, H Huang Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	451	2016
Joint embedding learning and sparse regression: A framework for unsupervised feature selection C Hou, F Nie, X Li, D Yi, Y Wu IEEE Transactions on Cybernetics 44 (6), 793-804, 2013	437	2013
A multimedia retrieval framework based on semi-supervised ranking and relevance feedback Y Yang, F Nie, D Xu, J Luo, Y Zhuang, Y Pan IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (4), 723-742, 2011	437	2011
Trace ratio criterion for feature selection. F Nie, S Xiang, Y Jia, C Zhang, S Yan AAAI 2, 671-676, 2008	388	2008
Multi-class active learning by uncertainty sampling with diversity maximization Y Yang, Z Ma, F Nie, X Chang, AG Hauptmann International Journal of Computer Vision 113 (2), 113-127, 2015	346	2015
Discriminative least squares regression for multiclass classification and feature selection S Xiang, F Nie, G Meng, C Pan, C Zhang IEEE transactions on neural networks and learning systems 23 (11), 1738-1754, 2012	346	2012
Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification. F Nie, J Li, X Li IJCAI, 1881-1887, 2016	343	2016
Image clustering using local discriminant models and global integration Y Yang, D Xu, F Nie, S Yan, Y Zhuang IEEE Transactions on Image Processing 19 (10), 2761-2773, 2010	340	2010
Large-scale multi-view spectral clustering via bipartite graph Y Li, F Nie, H Huang, J Huang Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015	329	2015
Multi-view subspace clustering H Gao, F Nie, X Li, H Huang Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015	329	2015
Multi-view clustering and semi-supervised classification with adaptive neighbours F Nie, G Cai, X Li Thirty-first AAAI conference on artificial intelligence, 2017	307	2017
Multi-view clustering and feature learning via structured sparsity H Wang, F Nie, H Huang International conference on machine learning, 352-360, 2013	294	2013
Trace ratio problem revisited Y Jia, F Nie, C Zhang IEEE Transactions on Neural Networks 20 (4), 729-735, 2009	282	2009
Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering F Nie, Z Zeng, IW Tsang, D Xu, C Zhang IEEE Transactions on Neural Networks 22 (11), 1796-1808, 2011	265	2011
Low-rank matrix recovery via efficient schatten p-norm minimization F Nie, H Huang, C Ding Twenty-sixth AAAI conference on artificial intelligence, 2012	264	2012

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