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.

7. Wang, J., Zhang, J., Liu, B., Zhu, J.* and Guo, J.* Fast network community detection with profile-pseudo likelihood methods, Journal of the American Statistical Association, 2023,118(542), 1359-1372.

8. Liu, B., Feng, L.* and Ma, Y. High-dimensional alpha test of the linear factor pricing models with heavy-tailed distributions, Statistica Sinica, 2023, 33, 1389-1410.

9. Feng, L., Jiang, T., Liu, B. and Xiong, W.* Max-Sum tests for cross-sectional independence of high-dimensional panel data, Annals of Statistics, 2022, 50(2), 1124-1143.

10. Feng, L., Lan, W., Liu, B.* and Ma, Y. High-dimensional test for alpha in linear factor pricing models with sparse alternatives, Journal of Econometrics, 2022, 229(1), 152-175.

11. Feng, L., Liu, B.* and Ma, Y. An inverse norm sign test of location parameter for high-dimensional data, Journal of Business & Economic Statistics, 2021, 39(3), 807-815.

12. Liu, B., Wu, C., Shen, X. and Pan, W.* A novel and efficient algorithm for de novo discovery of mutated driver pathways in cancer, Annals of Applied Statistics, 2017, 11(3): 1481-1512.

13. Liu, B., Shen, X.T. and Pan, W.* Integrative and regularized principal component analysis of multiple sources of data, Statistics in Medicine, 2016, 35: 2235-2250.

14. Pan, W.*, Shen, X. and Liu, B. Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty, Journal of Machine Learning Research, 2013, 14(7): 1865-1889.

15. Liu, B., Guo, J.* and Jing, B. A note on minimal d-separation trees for structural learning, Artificial Intelligence, 2010, 174: 442-448.