Chris H.Q. Ding
Chris H.Q. Ding
Professor of computer science, University of Texas, Arlington
Verified email at - Homepage
Cited by
Cited by
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
H Peng, F Long, C Ding
IEEE Transactions on pattern analysis and machine intelligence 27 (8), 1226-1238, 2005
Minimum redundancy feature selection from microarray gene expression data
C Ding, H Peng
Journal of bioinformatics and computational biology 3 (02), 185-205, 2005
Efficient and robust feature selection via joint ℓ2, 1-norms minimization
F Nie, H Huang, X Cai, CH Ding
Advances in neural information processing systems, 1813-1821, 2010
K-means clustering via principal component analysis
C Ding, X He
Proceedings of the twenty-first international conference on Machine learning, 29, 2004
Orthogonal nonnegative matrix t-factorizations for clustering
C Ding, T Li, W Peng, H Park
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
Convex and semi-nonnegative matrix factorizations
CHQ Ding, T Li, MI Jordan
IEEE transactions on pattern analysis and machine intelligence 32 (1), 45-55, 2008
Multi-class protein fold recognition using support vector machines and neural networks
CHQ Ding, I Dubchak
Bioinformatics 17 (4), 349-358, 2001
A min-max cut algorithm for graph partitioning and data clustering
CHQ Ding, X He, H Zha, M Gu, HD Simon
Proceedings 2001 IEEE international conference on data mining, 107-114, 2001
On the equivalence of nonnegative matrix factorization and spectral clustering
C Ding, X He, HD Simon
Proceedings of the 2005 SIAM international conference on data mining, 606-610, 2005
Spectral relaxation for k-means clustering
H Zha, X He, C Ding, M Gu, HD Simon
Advances in neural information processing systems, 1057-1064, 2002
Lead‐free halide perovskite solar cells with high photocurrents realized through vacancy modulation
MH Kumar, S Dharani, WL Leong, PP Boix, RR Prabhakar, T Baikie, C Shi, ...
Advanced Materials 26 (41), 7122-7127, 2014
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
C Ding, D Zhou, X He, H Zha
Proceedings of the 23rd international conference on Machine learning, 281-288, 2006
Atomic level simulations on a million particles: The cell multipole method for Coulomb and London nonbond interactions
HQ Ding, N Karasawa, WA Goddard III
The Journal of chemical physics 97 (6), 4309-4315, 1992
Dopamine controls systemic inflammation through inhibition of NLRP3 inflammasome
Y Yan, W Jiang, L Liu, X Wang, C Ding, Z Tian, R Zhou
Cell 160 (1-2), 62-73, 2015
Bipartite graph partitioning and data clustering
H Zha, X He, C Ding, H Simon, M Gu
Proceedings of the tenth international conference on Information and …, 2001
Lead-free germanium iodide perovskite materials for photovoltaic applications
T Krishnamoorthy, H Ding, C Yan, WL Leong, T Baikie, Z Zhang, ...
Journal of Materials Chemistry A 3 (47), 23829-23832, 2015
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Highly Luminescent Phase-Stable CsPbI3 Perovskite Quantum Dots Achieving Near 100% Absolute Photoluminescence Quantum Yield
F Liu, Y Zhang, C Ding, S Kobayashi, T Izuishi, N Nakazawa, T Toyoda, ...
ACS nano 11 (10), 10373-10383, 2017
Community discovery using nonnegative matrix factorization
F Wang, T Li, X Wang, S Zhu, C Ding
Data Mining and Knowledge Discovery 22 (3), 493-521, 2011
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
D Wang, T Li, S Zhu, C Ding
Proceedings of the 31st annual international ACM SIGIR conference on …, 2008
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