Calculated based on number of publications stored in Pure and citations from Scopus
20062025

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  • 2016

    Discriminative vanishing component analysis

    Hou, C., Nie, F. & Tao, D., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1666-1672 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    10 Scopus citations
  • Graph-without-cut: An ideal graph learning for image segmentation

    Gao, L., Song, J., Nie, F., Zou, F., Sebe, N. & Shen, H. T., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1188-1194 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    39 Scopus citations
  • Joint graph learning and video segmentation via multiple cues and topology calibration

    Song, J., Gao, L., Puscas, M. M., Nie, F., Shen, F. & Sebe, N., 1 Oct 2016, MM 2016 - Proceedings of the 2016 ACM Multimedia Conference. Association for Computing Machinery, Inc, p. 831-840 10 p. (MM 2016 - Proceedings of the 2016 ACM Multimedia Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    19 Scopus citations
  • Learning from less for better: Semi-supervised activity recognition via shared structure discovery

    Yao, L., Nie, F., Sheng, Q. Z., Gu, T., Li, X. & Wang, S., 12 Sep 2016, UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, p. 13-24 12 p. (UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    52 Scopus citations
  • Learning task relational structure for multi-Task feature learning

    Wang, D., Nie, F. & Huang, H., 2 Jul 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1239-1244 6 p. 7837979. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 0).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations
  • New ℓ-1-norm relaxations and optimizations for graph clustering

    Nie, F., Wang, H., Deng, C., Gao, X., Li, X. & Huang, H., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1962-1968 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    26 Scopus citations
  • Object co-segmentation via graph optimized-flexible manifold ranking

    Quan, R., Han, J., Zhang, D. & Nie, F., 9 Dec 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 687-695 9 p. 7780450. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    82 Scopus citations
  • Progressive graph-based transductive learning for multi-modal classification of brain disorder disease

    Wang, Z., Zhu, X., Adeli, E., Zhu, Y., Zu, C., Nie, F., Shen, D. & Wu, G., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Ourselin, S., Joskowicz, L., Sabuncu, M. R., Wells, W. & Unal, G. (eds.). Springer Verlag, p. 291-299 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    8 Scopus citations
  • Robust and effective metric learning using capped trace norm

    Huo, Z., Nie, F. & Huang, H., 13 Aug 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1605-1614 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    25 Scopus citations
  • Semi-supervised multi-label dimensionality reduction

    Guo, B., Hou, C., Nie, F. & Yi, D., 2 Jul 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 919-924 6 p. 7837926. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 0).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    28 Scopus citations
  • Structured doubly stochastic matrix for graph based clustering

    Wang, X., Nie, F. & Huang, H., 13 Aug 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1245-1254 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    45 Scopus citations
  • The constrained laplacian rank algorithm for graph-based clustering

    Nie, F., Wang, X., Jordan, M. I. & Huang, H., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1969-1976 8 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    767 Scopus citations
  • Uncovering locally discriminative structure for feature analysis

    Wang, S., Nie, F., Chang, X., Li, X., Sheng, Q. Z. & Yao, L., 2016, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Proceedings. Giuseppe, J., Landwehr, N., Manco, G. & Frasconi, P. (eds.). Springer Verlag, p. 281-295 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9851 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Scopus citations
  • Unsupervised automatic attribute discovery method via multi-graph clustering

    Liu, L., Nie, F., Teng, Z., Wiliem, A. & Lovell, B. C., 1 Jan 2016, 2016 23rd International Conference on Pattern Recognition, ICPR 2016. Institute of Electrical and Electronics Engineers Inc., p. 1713-1718 6 p. 7899883. (Proceedings - International Conference on Pattern Recognition; vol. 0).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    15 Scopus citations
  • Unsupervised feature extraction using a learned graph with clustering structure

    Zhuge, W., Hou, C., Nie, F. & Yi, D., 1 Jan 2016, 2016 23rd International Conference on Pattern Recognition, ICPR 2016. Institute of Electrical and Electronics Engineers Inc., p. 3597-3602 6 p. 7900192. (Proceedings - International Conference on Pattern Recognition; vol. 0).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • Unsupervised feature selection with structured graph optimization

    Nie, F., Zhu, W. & Li, X., 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1302-1308 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    309 Scopus citations
  • 2015

    A closed form solution to multi-view low-rank regression

    Zheng, S., Cai, X., Ding, C., Nie, F. & Huang, H., 1 Jun 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 1973-1979 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    51 Scopus citations
  • A convex formulation for spectral shrunk clustering

    Chang, X., Nie, F., Ma, Z., Yang, Y. & Zhou, X., 1 Jun 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 2532-2538 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    30 Scopus citations
  • A new simplex sparse learning model to measure data similarity for clustering

    Huang, J., Nie, F. & Huang, H., 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3569-3575 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    313 Scopus citations
  • Discriminative unsupervised dimensionality reduction

    Wang, X., Liu, Y., Nie, F. & Huang, H., 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3925-3931 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    44 Scopus citations
  • Identifying connectome module patterns via new balanced multi-graph normalized cut

    Gao, H., Cai, C., Yan, J., Yan, L., Cortes, J. G., Wang, Y., Nie, F., West, J., Saykin, A., Shen, L. & Huang, H., 2015, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings. Hornegger, J., Frangi, A. F., Wells, W. M., Frangi, A. F., Navab, N., Hornegger, J., Navab, N., Wells, W. M., Wells, W. M., Frangi, A. F., Hornegger, J. & Navab, N. (eds.). Springer Verlag, p. 169-176 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9350).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    5 Scopus citations
  • Large-scale multi-view spectral clustering via bipartite graph

    Li, Y., Nie, F., Huang, H. & Huang, J., 1 Jun 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 2750-2756 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    474 Scopus citations
  • Learning robust locality preserving projection via p-order minimization

    Wang, H., Nie, F. & Huang, H., 1 Jun 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 3059-3065 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    30 Scopus citations
  • Multi-view subspace clustering

    Gao, H., Nie, F., Li, X. & Huang, H., 17 Feb 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 4238-4246 9 p. 7410839. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    561 Scopus citations
  • Optimal graph learning with partial tags and multiple features for image and video annotation

    Gao, L., Song, J., Nie, F., Yan, Y., Sebe, N. & Shen, H. T., 14 Oct 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 4371-4379 9 p. 7299066. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    71 Scopus citations
  • Robust capped norm Nonnegative Matrix Factorization

    Gao, H., Nie, F., Cai, W. & Huang, H., 17 Oct 2015, CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 871-880 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. 19-23-Oct-2015).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    64 Scopus citations
  • Robust dictionary learning with capped ℓ1-Norm

    Jiang, W., Nie, F. & Huang, H., 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3590-3596 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    83 Scopus citations
  • Unsupervised feature analysis with class margin optimization

    Wang, S., Nie, F., Chang, X., Yao, L., Li, X. & Sheng, Q. Z., 2015, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Proceedings. Appice, A., Gama, J., Costa, V. S., Gama, J., Jorge, A., Appice, A., Appice, A., Costa, V. S., Jorge, A., Appice, A., Rodrigues, P. P., Rodrigues, P. P., Gama, J., Costa, V. S., Soares, S., Rodrigues, P. P., Soares, S., Soares, S., Gama, J., Soares, S., Jorge, A., Jorge, A., Rodrigues, P. P. & Costa, V. S. (eds.). Springer Verlag, p. 383-398 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9284).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    22 Scopus citations
  • 2014

    A convex formulation for semi-supervised multi-label feature selection

    Chang, X., Nie, F., Yang, Y. & Huang, H., 2014, Proceedings of the National Conference on Artificial Intelligence. AI Access Foundation, p. 1171-1177 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    228 Scopus citations
  • Clustering and projected clustering with adaptive neighbors

    Nie, F., Wang, X. & Huang, H., 2014, KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 977-986 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    932 Scopus citations
  • Feature selection at the discrete limit

    Zhang, M., Ding, C., Zhang, Y. & Nie, F., 2014, Proceedings of the National Conference on Artificial Intelligence. AI Access Foundation, p. 1355-1361 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    53 Scopus citations
  • Flexible shift-invariant locality and globality preserving projections

    Nie, F., Cai, X. & Huang, H., 2014, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Proceedings. PART 2 ed. Springer Verlag, p. 485-500 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8725 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Scopus citations
  • Globally and locally consistent unsupervised projection

    Wang, H., Nie, F. & Huang, H., 2014, Proceedings of the National Conference on Artificial Intelligence. AI Access Foundation, p. 1328-1333 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    28 Scopus citations
  • Human connectome module pattern detection using a new multi-graph MinMax cut model

    Wang, D., Wang, Y., Nie, F., Yan, J., Cai, W., Saykin, A. J., Shen, L. & Huang, H., 2014, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014 - 17th International Conference, Proceedings. PART 3 ed. Springer Verlag, p. 313-320 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8675 LNCS, no. PART 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    7 Scopus citations
  • Large-scale adaptive semi-supervised learning via unified inductive and transductive model

    Wang, D., Nie, F. & Huang, H., 2014, KDD 2014 - Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 482-491 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    44 Scopus citations
  • Low-rank tensor completion with spatio-temporal consistency

    Wang, H., Nie, F. & Huang, H., 2014, Proceedings of the National Conference on Artificial Intelligence. AI Access Foundation, p. 2846-2852 7 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    32 Scopus citations
  • New primal SVM solver with linear computational cost for big data classifications

    Nie, F., Huang, Y., Wang, X. & Huang, H., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 1883-1891 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    49 Scopus citations
  • Optimal mean robust principal component analysis

    Nie, F., Yuan, J. & Huang, H., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 2755-2763 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    136 Scopus citations
  • Robust distance metric learning via simultaneous ℓ1-norm minimization and maximization

    Wang, H., Nie, F. & Huang, H., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 3853-3861 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    20 Scopus citations
  • Unsupervised feature selection via unified trace ratio formulation and K-means clustering (TRACK)

    Wang, D., Nie, F. & Huang, H., 2014, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Proceedings. PART 3 ed. Springer Verlag, p. 306-321 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8726 LNAI, no. PART 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    95 Scopus citations
  • 2013

    Adaptive loss minimization for semi-supervised elastic embedding

    Nie, F., Wang, H., Huang, H. & Ding, C., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1565-1571 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    96 Scopus citations
  • A new sparse simplex model for brain anatomical and genetic network analysis

    Huang, H., Yan, J., Nie, F., Huang, J., Cai, W., Saykin, A. J. & Shen, L., 2013, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2 ed. p. 625-632 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8150 LNCS, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    13 Scopus citations
  • Early active learning via robust representation and structured sparsity

    Nie, F., Wang, H., Huang, H. & Ding, C., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1572-1578 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    65 Scopus citations
  • Exact top-k feature selection via ℓ2;0-norm constraint

    Cai, X., Nie, F. & Huang, H., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 1240-1246 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    160 Scopus citations
  • Heterogeneous image features integration via multi-modal semi-supervised learning model

    Cai, X., Nie, F., Cai, W. & Huang, H., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 1737-1744 8 p. 6751326. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    133 Scopus citations
  • Minimizing joint risk of mislabeling for iterative patch-based label fusion

    Wu, G., Wang, Q., Liao, S., Zhang, D., Nie, F. & Shen, D., 2013, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 3 ed. p. 551-558 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8151 LNCS, no. PART 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations
  • Multi-view K-means clustering on big data

    Cai, X., Nie, F. & Huang, H., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 2598-2604 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    625 Scopus citations
  • New graph structured sparsity model for multi-label image annotations

    Cai, X., Nie, F., Cai, W. & Huang, H., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 801-808 8 p. 6751209. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    47 Scopus citations
  • On the equivalent of low-rank regressions and linear discriminant analysis based regressions

    Cai, X., Ding, C., Nie, F. & Huang, H., 11 Aug 2013, KDD 2013 - 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Parekh, R., He, J., Inderjit, D. S., Bradley, P., Koren, Y., Ghani, R., Senator, T. E., Grossman, R. L. & Uthurusamy, R. (eds.). Association for Computing Machinery, p. 1124-1132 9 p. 2487701. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F128815).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    137 Scopus citations
  • Robust discrete matrix completion

    Huang, J., Nie, F. & Huang, H., 2013, Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013. p. 424-430 7 p. (Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    19 Scopus citations