刘秉辉，东北师范大学，教授、博导，统计系主任；入选国家级青年人才计划、国家天元数学东北中心优秀青年学者、吉林省拔尖创新人才；主要从事统计机器学习和网络数据分析方面的研究；在统计学、计算机&人工智能、计量经济学领域期刊发表学术论文三十余篇，部分成果发表在：J AM STAT ASSOC、ANN STAT、ANN APPL STAT，ARTIF INTELL、J MACH LEARN RES，J ECONOMETRICS、J BUS ECON STAT等；主持国家自然科学基金项目多项；担任中国现场统计研究会因果推断分会副理事长、中国现场统计研究会统计交叉科学研究分会副理事长等。

学术论文节选：
1. Wang, H., Liu, B., Feng, L.* and Ma, Y.* Rank-based max-sum tests for mutual independence of high-dimensional random vectors, Journal of Econometrics, 2024, 238, 105578.

2. Feng, L., Liu, B.* and Ma, Y. A one-sided refined symmetrized data aggregation approach to robust mutual fund selection, Journal of Business & Economic Statistics, 2024, 42(1), 257–271.

3. Feng, L., Liu, B.* and Ma, Y. Testing for high-dimensional white noise, Statistica Sinica, 2024, In press.

4. Wang, H., Liu, B.*, Feng, L.* and Ma, Y. Fisher‘s combined probability test for cross-sectional independence in panel data models with serial correlation, Statistica Sinica, 2024, accepted.

5. Feng, L., Jiang, T., Li, X.* and Liu, B. Asymptotic independence of the sum and maximum of dependent random variables with applications to high-dimensional tests, Statistica Sinica, 2024, 34, 1745-1763.

6. Yuan, Q., Liu, B.*, Li D.* and Ma, Y. Community extraction of network data under stochastic block models, Statistica Sinica, 2024, In press.