Chang’s Paper Accepted by IJCAI2026

The paper “EMMS: Multi-Label Multi-Dimensional Selection”, co-authored by Ph.D. student Li Yang and Prof. Yanyong Huang of Southwestern University of Finance and Economics, Prof. Jinyuan Chang from our team, CTO Ou Zheng of Zhiling Tech, Postdoctoral Fellow Minbo Ma of Tsinghua University, and Prof. Xiaoyi Jiang of the University of Münster, has been officially accepted by the Main Track of IJCAI 2026, one of the renowned international conferences in the field of Artificial Intelligence.

Huang’s Paper Accepted by JBES

The paper “Estimation of factors using higher-order multi-cumulants in weak factor models”, co-authored by Dr. Guanglin Huang from our team, Prof. Wanbo Lu of the Southwestern University of Finance and Economics, China, Prof. Kris Boudt of Ghent University, Belgium, has been officially accepted by the Journal of Business & Economic Statistics, one of the leading international journals in the field of statistics.

Chang’s Paper Accepted by JRSSB

The paper “Autoregressive Networks with Dependent Edges”, co-authored by Prof. Jinyuan Chang from our team, Dr. Qin Fang of the University of Sydney, Australia, Prof. Eric D. Kolaczyk of McGill University, Canada, Dr. Peter W. MacDonald of the University of Waterloo, and Prof. Qiwei Yao of the London School of Economics and Political Science, UK, has been officially accepted by the Journal of the Royal Statistical Society: Series B, one of the leading international journals in the field of statistics.

Chang and Yang’s Paper Accepted by JASA

The paper “Adapting to Noise Tails in Private Linear Regression”, co-authored by Prof. Jinyuan Chang, postdoctoral researcher Lin Yang from our team, PhD student Mengyue Zha of the Hong Kong University of Science and Technology, and Professor Wenxin Zhou of the University of Illinois Chicago, has been officially accepted by the Journal of the American Statistical Association, one of the leading international journals in statistics.

Chang, Du and He’s Paper Accepted by JASA

The paper “Testing Independence and Conditional Independence in High Dimensions via Coordinatewise Gaussianization,” co-authored by Prof. Jinyuan Chang, doctoral candidate Yue Du, Prof. Jing He from our team, and Prof. Qiwei Yao of the London School of Economics and Political Science, has been officially accepted by the Journal of the American Statistical Association, one of the leading international journals in the field of statistics.

Zhou’s Paper Accepted by JASA

The paper “Statistical Inference for Mediation Models with High Dimensional Exposures and Mediators,” co-authored by Dr. Wei Zhou from our team, Prof. Jingyuan Liu and doctoral candidate Xinyu Zhang of Xiamen University, and Prof. Jian Kang of the University of Michigan, has been officially accepted by the Journal of the American Statistical Association, one of the leading international journals in the field of statistics.

Chang Named Associate Editor of OR

Recently, Professor Jinyuan Chang was invited by Professor Amy R. Ward of the University of Chicago, Editor-in-Chief of the international top-tier academic journal Operations Research, to officially serve as an Associate Editor in the area of Machine Learning and Data Science.

Chang, Du and Huang’s Paper Accepted by AoS

The paper “Identification and estimation for matrix time series CP-factor models”, co-authored by Prof. Jinyuan Chang, doctoral student Yue Du, postdoctoral fellow Guanglin Huang from our team, and Prof. Qiwei Yao from the London School of Economics and Political Science (UK), has been officially accepted by the Annals of Statistics, one of the world’s leading journals in the field of statistics.

Chen Awarded Funding by National Bureau of Statistics

Recently, the National Bureau of Statistics announced the approval of the 2025 Major Statistical Special Projects. The project “Theory and Application of Population Statistics Integrating Sampling Surveys and Multi-Source Big Data”, led by Dr. Lei Chen, was approved for funding.