Research Interests：Statistical Machine Learning, Big Data Management and Applications

Education experience：

2009.09-2014.09    Xi’an Jiaotong University     Applied Math Ph.D

2010.11-2012.12    University of California, Berkeley Statistics  Visiting Scholar

2007.09-2009.06    Xi’an Jiaotong University     Applied Math Master

2003.09-2007.06    Xi’an Jiaotong University     Applied Math Bachelor

Working experience：

12/2014-6/2017t    School of Management, Xi’an Jiaotong University    Assistant Professor

7/2017-present     School of Management, Xi’an Jiaotong University    Associate Professor

5/2015-4/2016      Guanghua School of Management, Peking University     Visiting Assistant Professor

12/2018-11/2019   University of Washington, Seattle, USA      Visiting Associate Professor

Honors and Awards：

[1] 2018, ICCM Best Paper Reward, ICCM.

[2] 2018, Xi Youmin Innovation Award, School of Management, Xi'an Jiaotong University.

[3] 2018, Second Prize of Shaanxi Provincial Science and Technology Progress, the Third Completer.

[4] 2018, Third Prize in Natural Science of Chongqing, the Third Completer.

[5] 2018, Shaanxi Province Higher Education Institutions Outstanding Young Scholars Support Program.

Teaching courses

Optimization Theory and Algorithm

Business Analytics

Data Mining and Knowledge Discovery

Academic Publications：

1. Tang, Ling, Jiabao Qu, Zhifu Mi, Xin Bo, Xiangyu Chang, Laura Diaz Anadon, Shouyang Wang et al. Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards. Nature Energy : 1-10. 2019

2. Samareh, Aven, Xiangyu Chang, William B. Lober, Heather L. Evans, Zhangyang Wang, Xiaoning Qian, and Shuai Huang. Artificial Intelligence Methods for Surgical Site Infection: Impacts on Detection, Monitoring, and Decision Making. Surgical infections, 2019.

3. Jiang, Ziyu, Randy Ardywibowo, Aven Samereh, Heather L. Evans, William B. Lober, Xiangyu Chang, Xiaoning Qian, Zhangyang Wang, and Shuai Huang. A Roadmap for Automatic Surgical Site Infection Detection and Evaluation Using User-Generated Incision Images. Surgical infections, 2019.

4. Xuening Zhu, Xiangyu Chang, Runze Li and Hansheng Wang. Portal nodes screening for large scale social networks. Journal of Econometrics, 209(2), 145-157, 2019.

5. Xiangyu Chang, Danyang Huang, and Hansheng Wang. A Popularity Scaled Latent Space Model for Network Structure Formulation. Statistica Sinica, 29(3), 1277-1299, 2019

6. Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, and Shuai Huang. Detect depression from communication: how computer vision, signal processing, and sentiment analysis join forces. IISE Transactions on Healthcare Systems Engineering , 8(3), 196-208, 2018.

7. Xiangyu Chang, Jingzhou Shen, Xiaoling Lu, and Shuai Huang. Statistical Patterns of Human Mobility in Emerging Bicycle Sharing Systems. PloS One, 13(3), e0193795, 2018.

8. Xiangyu Chang, Yan Zhong, Yao Wang and Shaobo Lin. Unified Low-Rank Matrix Estimation via Penalized Matrix Least Squares Approximation. IEEE Transactions on neural networks and learning systems, 30(2), 474-485, 2018

9. Xiangyu Chang, Yu Wang, Rongjian Li and Zongben Xu. Sparse K-means with l0/l∞ penalty for high-dimensional data clustering. Statistica Sinica, 28, 1265- 1284.,2018

10. Yuewen Liu, Ke Xu, Xiangyu Chang, Dehai Di and Wayne Wei Huang. Social network analysis based on canteen transaction records. Statistics and Its Interface, 11, 191-200, 2018.

11. Xiaoling Lu, Fengchi Dong, Xiexin Liu, and Xiangyu Chang. Varying Coefficient Support Vector Machines. Statistics & Probability Letters, 132, 107-115, 2017.

12. Huang, Danyang, Xiangyu Chang, and Hansheng Wang. Spatial autoregression with repeated measurements for social networks. Communications in Statistics- Theory and Methods, 1-13, 2017.

13. Xiangyu Chang, Shao-Bo Lin and Ding-Xuan Zhou. Distributed semi-supervised learning with kernel ridge regression. Journal of Machine Learning Research, 18(46): 1-22, 2017.

14. Xiangyu Chang, Shao-Bo Lin, and Yao Wang. Divide and conquer local average regression. Electronic Journal of Statistics, 11(1): 1326-1350, 2017.

15. Shao-Bo Lin, Jinshan Zeng, and Xiangyu Chang. Learning rates for classification with Gaussian kernels. Neural Computation, 29(12), 3353-3380, 2017.

16. Xiao, Xiao, Xiexin Liu, Xiaoling Lu, Xiangyu Chang, and Yufeng Liu. A new algo- rithm for computation of a regularization solution path for reinforced multicategory support vector machines. Canadian Journal of Statistics, 45(2): 149-163, 2017.

17. Xiangyu Chang, Qingnan Wang, Yuewen Liu, and Yu Wang. Sparse regulariza- tion in fuzzy c-means for high-dimensional data clustering. IEEE Transactions on Cybernetics, 47(9): 2616-2627, 2017.

18. Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Han Zhi and Zongben Xu. Folded-concave penalization approaches to tensor completion. Neurocomputing, 152(25): 261-273, 2015.

19. Yu Wang, Jinshan Zeng, Zhimin Peng, Xiangyu Chang and Zongben Xu. Linear convergence of adaptively iterative thresholding algorithms for compressed sensing. IEEE Trans on Signal Processing, 63(11), 2957-2971, 2015.

Academic Projects

[1] Business Analysis, Xi'an Jiaotong University, Graduate Teaching Reform Project, 2015.03-2016.03, Finished, principal investigator.

[2] Statistical Learning Models and Theory for Massive and Complex Types of Data, National Natural Science Foundation of China (NSFC), 2018.01-2021.12, In progress, IN CHARGE.

[3] Feasibility Theory of Distributed Learning for Big Data, National Natural Science Foundation of China(NSFC), 2015.01-2017.12, Finished, principal investigator.

[4] 2018.10-2019.05, Earthquake Industry Literature ToIn chargec Modeling Service, National Seismological Administration, Finished, principal investigator..

[5] 2018.01-2018.12, Automated Website Information Acquisition and Analysis, National Seismological Administration, Finished, principal investigator..

[6] 2017.06-2017.10, Identification of means of environmental monitoring data falsification based on high-dimensional anomaly detection models, State Ministry of Environmental Protection, Finished, principal investigator..

[7] 2016.09-2017.09, Network Data and Statistical Modeling, Intelligent Business Center, Peking University, Finished, principal investigator.