教师姓名：谢锦瀚

职    称：副教授

系    所：统计与数据科学系

主要研究领域：统计机器学习: 在线学习(Online Learning); 迁移学习(Transfer Learning); 联邦学习(Federated Learning); 集成学习(Ensemble Learning)

大规模复杂数据分析：高维数据(High-dimensional Data); 流数据分析(Streaming Data); 隐私数据(Privacy Data); 缺失数据(Missing Data)

电子邮件：jinhanxie@ynu.edu.cn

个人主页：https://jinhanx.github.io/

https://www.researchgate.net/profile/Xie-Jinhan

工作经历：

2024.01-2025.01 美国北卡罗来纳大学教堂山分校，生物统计系，博士后

2021.01-2024.01 加拿大阿尔伯塔大学， 数学与统计科学系，博士后

2019.06-2012.06 香港中文大学，统计系，博士后

2017.04 - 2017.08; 2019.01 - 2019.06 香港中文大学，统计系， 研究助理

Selected Publications: (+ and * indicate equal contributions and corresponding author, respectively.)

1. Xie, J.+, Shi, E.+, Sang, P., Shang, Z., Jiang, B., and Kong, L.* (2025). Scalable inference in functional linear regression with streaming data. The Annals of Statistics, accepted.

2. Zhang, Q.+ , Li, T.+, Feng, X., Yan, X., and Xie, J.* (2025). Online differential private conformal prediction for uncertainty quantification. Forty-Second International Conference on Machine Learning (ICML), acceptance rate: 26.9%.

3. Zhang, Z., Chen, Z., Liu, Q., Xie, J., and Zhu, H.* (2025). Sampling-guided heterogeneous graph neural network with temporal smoothing for scalable longitudinal data imputation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), acceptance rate: 18.4%.

4. Xie, J., Yan, X., Jiang, B., and Kong, L.* (2025). Statistical inference for smoothed quantile regression with streaming data. Journal of Econometrics, 249, 105924.

5. Qin, C., Xie, J., Li, T., and Bai, Y.* (2025). An adaptive transfer learning framework for functional classification. Journal of the American Statistical Association, 120(550), 1201-1213.

6. Han, D.+, Xie, J.+, Liu, J.*, Sun, L., Huang, J., Jiang, B., and Kong, L. (2024). Inference on high-dimensional single-index models with streaming data. Journal of Machine Learning Research, 25, 1-68.  

7. Lin, Y.+, Xie, J.+, Han, R.+, and Tang, N.* (2023). Post-selection inference of high-dimensional logistic regression under case-control design. Journal of Business & Economic Statistics, 41, 624-635.

8. Tang, W., Xie, J., Lin, Y., and Tang, N.* (2022). Quantile correlation-based variable selection. Journal of Business & Economic Statistics, 40, 1081-1093.

9. Xie, J., Yan, X., and Tang, N.* (2021). A model-averaging method for high-dimensional regression with missing responses at random. Statistica Sinica, 31, 1005-1026.

10. Xie, J., Lin, Y.*, Yan, X., and Tang, N. (2020). Category-adaptive variable screening for ultra-high dimensional heterogeneous categorical data. Journal of the American Statistical Association, 115, 747-760.

代表性教学科研项目：

1. 青年科学基金项目, 数据流的在线统计推断方法及理论研究, （No.12501388）2026.01-2028.12, 主持

获奖情况：

1. 唐年胜、赵普映、李会琼、谢锦瀚、唐安民, 高维缺失数据的统计推断，云南省人民政府，云南省自然科学奖一等奖，2023年

2. 云南省2021年优秀博士论文, 2021年