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ORCIDChris Ding
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Publications
- 2021
[j69]Feiping Nie
, Lai Tian, Heng Huang, Chris Ding:
Non-Greedy L21-Norm Maximization for Principal Component Analysis. IEEE Trans. Image Process. 30: 5277-5286 (2021)- 2020
- [j63]Yun Liu, Rui Zhang, Feiping Nie, Xuelong Li, Chris Ding:
Supervised Dimensionality Reduction Methods via Recursive Regression. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3269-3279 (2020) - 2019
- [j56]Shuai Zheng, Chris Ding, Feiping Nie, Heng Huang:
Harmonic Mean Linear Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 31(8): 1520-1531 (2019) - [c184]Di Ming, Chris Ding, Feiping Nie:
A Probabilistic Derivation of LASSO and L12-Norm Feature Selections. AAAI 2019: 4586-4593 - 2018
- [i10]Shuai Zheng, Chris H. Q. Ding, Feiping Nie:
Regularized Singular Value Decomposition and Application to Recommender System. CoRR abs/1804.05090 (2018) - 2016
- [c171]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. ICTAI 2016: 402-409 - [i4]Shuai Zheng, Feiping Nie, Chris H. Q. Ding, Heng Huang:
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification. CoRR abs/1610.04631 (2016) - [i3]Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
A Closed Form Solution to Multi-View Low-Rank Regression. CoRR abs/1610.04668 (2016) - 2015
- [j44]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Joint Schatten p-norm and ℓp-norm robust matrix completion for missing value recovery. Knowl. Inf. Syst. 42(3): 525-544 (2015) - [c169]Shuai Zheng, Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
A Closed Form Solution to Multi-View Low-Rank Regression. AAAI 2015: 1973-1979 - 2014
- [c167]Miao Zhang, Chris H. Q. Ding, Ya Zhang, Feiping Nie:
Feature Selection at the Discrete Limit. AAAI 2014: 1355-1361 - [c163]Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding:
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm. NIPS 2014: 1655-1663 - 2013
- [j37]Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie:
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. J. Comput. Biol. 20(4): 344-358 (2013) - [j34]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Robust Manifold Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 8(3): 11:1-11:21 (2013) - [c157]Jin Huang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Supervised and Projected Sparse Coding for Image Classification. AAAI 2013: 438-444 - [c155]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine. CVPR 2013: 3097-3102 - [c151]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Adaptive Loss Minimization for Semi-Supervised Elastic Embedding. IJCAI 2013: 1565-1571 - [c150]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Early Active Learning via Robust Representation and Structured Sparsity. IJCAI 2013: 1572-1578 - [c148]Jin Huang, Feiping Nie, Heng Huang, Yu Lei, Chris H. Q. Ding:
Social Trust Prediction Using Rank-k Matrix Recovery. IJCAI 2013: 2647-2653 - [c147]Xiao Cai, Chris H. Q. Ding, Feiping Nie, Heng Huang:
On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. KDD 2013: 1124-1132 - 2012
- [c144]Feiping Nie, Heng Huang, Chris H. Q. Ding:
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization. AAAI 2012: 655-661 - [c135]Feiping Nie, Hua Wang, Xiao Cai, Heng Huang, Chris H. Q. Ding:
Robust Matrix Completion via Joint Schatten p-Norm and lp-Norm Minimization. ICDM 2012: 566-574 - [c133]Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie:
An Iterative Locally Linear Embedding Algorithm. ICML 2012 - [c130]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach. NIPS 2012: 2969-2977 - [c127]Hua Wang, Heng Huang, Chris H. Q. Ding, Feiping Nie:
Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization. RECOMB 2012: 314-325 - 2011
- [c119]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Dyadic transfer learning for cross-domain image classification. ICCV 2011: 551-556 - [c118]Hua Wang, Feiping Nie, Heng Huang, Shannon L. Risacher, Chris H. Q. Ding, Andrew J. Saykin, Li Shen:
Sparse multi-task regression and feature selection to identify brain imaging predictors for memory performance. ICCV 2011: 557-562 - [c116]Feiping Nie, Hua Wang, Heng Huang, Chris H. Q. Ding:
Unsupervised and semi-supervised learning via ℓ1-norm graph. ICCV 2011: 2268-2273 - [c115]Dijun Luo, Chris H. Q. Ding, Heng Huang, Feiping Nie:
Consensus spectral clustering in near-linear time. ICDE 2011: 1079-1090 - [c114]Xiao Cai, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Multi-Class L2, 1-Norm Support Vector Machine. ICDM 2011: 91-100 - [c113]Hua Wang, Feiping Nie, Heng Huang, Chris H. Q. Ding:
Nonnegative Matrix Tri-factorization Based High-Order Co-clustering and Its Fast Implementation. ICDM 2011: 774-783 - [c111]Dijun Luo, Chris H. Q. Ding, Feiping Nie, Heng Huang:
Cauchy Graph Embedding. ICML 2011: 553-560 - [c108]Feiping Nie, Heng Huang, Chris H. Q. Ding, Dijun Luo, Hua Wang:
Robust Principal Component Analysis with Non-Greedy l1-Norm Maximization. IJCAI 2011: 1433-1438 - [c105]Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Q. Ding:
Maximum Margin Multi-Instance Learning. NIPS 2011: 1-9 - [c102]Dijun Luo, Feiping Nie, Chris H. Q. Ding, Heng Huang:
Multi-Subspace Representation and Discovery. ECML/PKDD (2) 2011: 405-420 - [c101]Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding:
Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization. SIGIR 2011: 933-942 - 2010
- [j26]Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping Nie:
On the eigenvectors of p-Laplacian. Mach. Learn. 81(1): 37-51 (2010) - [c88]Feiping Nie, Heng Huang, Xiao Cai, Chris H. Q. Ding:
Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization. NIPS 2010: 1813-1821 - [c86]Feiping Nie, Chris H. Q. Ding, Dijun Luo, Heng Huang:
Improved MinMax Cut Graph Clustering with Nonnegative Relaxation. ECML/PKDD (2) 2010: 451-466
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