1. 2020 年获得国际华人数学家大会（ICCM）杰出论文奖（Distinguished Paper Award）

2. 2019年当选美国统计学会会士（ASA Fellow）

3. 2016 年受邀做国际数理统计学会应用统计年鉴讲座（IMS AOAS Lecture）

4. 2015 年受邀做国际数理统计学会奖章讲座（IMS Medallion Lecture）

5. 2011 年当选国际数理统计学会（IMS）会士

6. 2009 年获得国际数理统计学会（IMS）Tweedie 奖

7. 2007 年获得美国国家科学基金会（NSF）CAREER 奖

（一）Some Recent Papers about AI:

1. Gao, T., Jin, J., Ke, Z. T., & Moryoussef, G.(2025+). A Comparison of DeepSeek and Other LLMs. arXiv preprint arXiv:2502.03688.

2. Jin, J., Ke, Z. T., Sui, B, & Wang, Z.(2025+). Counting Cycles with AI.

3. Gao, T., Jin, J., Ke, Z. T., & Moryoussef, G.(2025+). When Machines writes: Statistics Approaches to AI Text Detection.

（二）Select Recent Papers:

1. Jin, J., Ke, Z. T., Luo, S., & Ma, Y. (2024). Optimal network pairwise comparison. Journal of the American Statistical Association, 1-15.

2. Jin, J., Ke, Z. T., & Luo, S. (2024). Mixed membership estimation for social networks. Journal of Econometrics, 239(2), 105369.

3. Zhang, H., Liu, M., Jin, J., & Wu, Z. (2023). Signal-noise ratio of genetic associations and statistical power of SNP-set tests. The Annals of Applied Statistics, 17(3), 2410-2431.

4. Jin, J., Ke, Z. T., Luo, S., & Wang, M. (2023). Optimal estimation of the number of network communities. Journal of the American Statistical Association, 118(543), 2101-2116.

5. Ji, P., Jin, J., Ke, Z. T., & Li, W. (2022). Co-citation and co-authorship networks of statisticians. Journal of Business & Economic Statistics, 40(2), 469-485.

6. Jin, J., Ke, Z. T., & Luo, S. (2021). Optimal adaptivity of signed-polygon statistics for network testing. The Annals of Statistics, 49(6), 3408-3433.

7. Jin, J., Ke, Z. T., & Wang, W. (2017). Phase transitions for high dimensional clustering and related problems. The Annals of Statistics,45(5): 2151-2189.

8. Jin, J., & Wang, W. (2016). Influential features PCA for high dimensional clustering. Annals of Statistics,44(6): 2323-2359.

9. Ji, P., & Jin, J. (2016). Coauthorship and citation networks for statisticians. The Annals of Statistics,10(4): 1779-1812.