L1/2 Regularization: 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
1160 2012 L1/2 Regularization Z Xu, H Zhang, Y Wang, X Chang, Y Liang
SCIENCE CHINA Information Sciences 53 (6), 1159-1169, 2010
496 2010 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
340 2019 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
272 2013 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
125 2017 Sparse Regularization in Fuzzy X Chang, Q Wang, Y Liu, Y Wang
IEEE transactions on cybernetics, 2017
94 2017 Effect of strengthened standards on Chinese ironmaking and steelmaking emissions X Bo, M Jia, X Xue, L Tang, Z Mi, S Wang, W Cui, X Chang, J Ruan, ...
Nature Sustainability 4 (9), 811-820, 2021
80 2021 Air pollution emissions from Chinese power plants based on the continuous emission monitoring systems network L Tang, X Xue, J Qu, Z Mi, X Bo, X Chang, S Wang, S Li, W Cui, G Dong
Scientific Data 7 (1), 325, 2020
67 2020 Folded-concave penalization approaches to tensor completion W Cao, Y Wang, C Yang, X Chang, Z Han, Z Xu
Neurocomputing 152, 261-273, 2015
53 2015 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
50 2015 Divide and conquer local average regression X Chang, SB Lin, Y Wang
Electronic Journal of Statistics 11 (1), 1326-1350, 2017
44 2017 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
32 2018 Randomized spectral clustering in large-scale stochastic block models H Zhang, X Guo, X Chang
Journal of Computational and Graphical Statistics 31 (3), 887-906, 2022
31 2022 How does air pollution affect travel behavior? A big data field study Y Xu, Y Liu, X Chang, W Huang
Transportation Research Part D: Transport and Environment 99, 103007, 2021
31 2021 Privacy-preserving cost-sensitive learning Y Yang, S Huang, W Huang, X Chang
IEEE Transactions on Neural Networks and Learning Systems 32 (5), 2105-2116, 2020
29 2020 Statistical Estimation and Online Inference via Local SGD X Li, J Liang, X Chang, Z Zhang
Conference on Learning Theory, 1613-1661, 2022
27 * 2022 Efficient Detection of Environmental Violators: A Big Data Approach X Chang, Y Huang, M Li, X Bo, S Kumar
Production and Operations Management, 2020
27 2020 A Roadmap for Automatic Surgical Site Infection Detection and Evaluation Using User-Generated Incision Images Z Jiang, R Ardywibowo, A Samereh, HL Evans, WB Lober, X Chang, ...
Surgical infections 20 (7), 555-565, 2019
27 2019 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
26 2018 Portal nodes screening for large scale social networks X Zhu, X Chang, R Li, H Wang
Journal of Econometrics 209 (2), 145-157, 2019
24 2019 
Yao WangXi'an Jiaotong UniversityE-mail confirmado em xjtu.edu.cn
