Xiangyu Chang
Xiangyu Chang
School of Management, Xi'an Jiaotong University
Verified email at xjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
L1/2Regularization: A Thresholding Representation Theory and a Fast Solver
Z XU, X CHANG, F XU, HAI ZHANG
IEEE Transactions on neural networks and learning systems 23 (7), 1013-1027, 2012
7592012
L1/2 Regularization
Z Xu, H Zhang, Y Wang, X Chang, Y Liang
SCIENCE CHINA Information Sciences 53 (6), 1159-1169, 2010
3462010
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
P Bickel, D Choi, X Chang, H Zhang
The Annals of Statistics 41 (4), 1922-1943, 2013
1702013
Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards
L Tang, J Qu, Z Mi, X Bo, X Chang, LD Anadon, S Wang, X Xue, S Li, ...
Nature Energy 4 (11), 929-938, 2019
812019
Distributed semi-supervised learning with kernel ridge regression
X Chang, SB Lin, DX Zhou
The Journal of Machine Learning Research 18 (1), 1493-1514, 2017
602017
Sparse Regularization in Fuzzy -Means for High-Dimensional Data Clustering
X Chang, Q Wang, Y Liu, Y Wang
IEEE transactions on cybernetics, 2017
502017
Folded-concave penalization approaches to tensor completion
W Cao, Y Wang, C Yang, X Chang, Z Han, Z Xu
Neurocomputing 152, 261-273, 2015
362015
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing
Y Wang, J Zeng, Z Peng, X Chang, Z Xu
IEEE Transactions on Signal Processing 63 (11), 2957-2971, 2015
352015
Divide and conquer local average regression
X Chang, SB Lin, Y Wang
Electronic Journal of Statistics 11 (1), 1326-1350, 2017
222017
Sparse K-Means with Penalty for High-Dimensional Data Clustering
X Chang, Y Wang, R Li, Z Xu
arXiv preprint arXiv:1403.7890, 2014
142014
Robust regularization theory based on Lq (0< q< 1) regularization: The asymptotic distribution and variable selection consistence of solutions
XY Chang, ZB Xu, H Zhang, J Wang, Y Liang
Sci Sin Mat 40 (10), 985-998, 2010
142010
Predicting depression severity by multi-modal feature engineering and fusion
A Samareh, Y Jin, Z Wang, X Chang, S Huang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
92018
Sparse k-means with 𝓁∞/𝓁 0 penalty for high-dimensional data clustering
X Chang, Y Wang, R Li, Z Xu
Statistica Sinica 28, 1265-1284, 2018
92018
Learning rates for classification with Gaussian kernels
SB Lin, J Zeng, X Chang
Neural computation 29 (12), 3353-3380, 2017
92017
Statistical patterns of human mobility in emerging Bicycle Sharing Systems
X Chang, J Shen, X Lu, S Huang
PLoS one 13 (3), e0193795, 2018
82018
Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains
B Zou, Z Xu, X Chang
Advances in Computational Mathematics 36 (1), 99-114, 2012
82012
A general radial quasi-interpolation operator on the sphere
S Lin, F Cao, X Chang, Z Xu
Journal of Approximation Theory 164 (10), 1402-1414, 2012
72012
Detect depression from communication: how computer vision, signal processing, and sentiment analysis join forces
A Samareh, Y Jin, Z Wang, X Chang, S Huang
IISE Transactions on Healthcare Systems Engineering 8 (3), 196-208, 2018
62018
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation
X Chang, Y Zhong, Y Wang, S Lin
IEEE transactions on neural networks and learning systems 30 (2), 474-485, 2018
62018
Portal nodes screening for large scale social networks
X Zhu, X Chang, R Li, H Wang
Journal of Econometrics 209 (2), 145-157, 2019
52019
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Articles 1–20