Selected Papers:
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.
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.The 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.
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年有篇文章入选国际数理统计学会应用统计年鉴讲座(IMS AOAS Lecture)
4. 2015年有篇文章入选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
Selected Papers:
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.
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.The 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.




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