| 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 | 1122 | 2012 |
| L1/2 Regularization Z Xu, H Zhang, Y Wang, X Chang, Y Liang SCIENCE CHINA Information Sciences 53 (6), 1159-1169, 2010 | 486 | 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 | 313 | 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 | 262 | 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 | 122 | 2017 |
| Sparse Regularization in Fuzzy -Means for High-Dimensional Data Clustering X Chang, Q Wang, Y Liu, Y Wang IEEE transactions on cybernetics, 2017 | 90 | 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 | 71 | 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 | 62 | 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 | 51 | 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 | 49 | 2015 |
| Divide and conquer local average regression X Chang, SB Lin, Y Wang Electronic Journal of Statistics 11 (1), 1326-1350, 2017 | 43 | 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 | 30 | 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 | 28 | 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 | 25 | 2021 |
| 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 | 25 | 2019 |
| Statistical Estimation and Online Inference via Local SGD X Li, J Liang, X Chang, Z Zhang Conference on Learning Theory, 1613-1661, 2022 | 23* | 2022 |
| 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 | 23 | 2020 |
| Efficient Detection of Environmental Violators: A Big Data Approach X Chang, Y Huang, M Li, X Bo, S Kumar Production and Operations Management, 2020 | 23 | 2020 |
| Portal nodes screening for large scale social networks X Zhu, X Chang, R Li, H Wang Journal of Econometrics 209 (2), 145-157, 2019 | 23 | 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 | 22 | 2018 |
Yao WangXi'an Jiaotong University在 xjtu.edu.cn 的电子邮件经过验证
