王恒放 副教授 办公室 ： 科研楼18# 1206 E-mail：hengfang AT fjnu.edu.cn 通讯地址： 福建省福州市大学城科技路1号福建师范大学旗山校区理工楼(350117) 研究兴趣 ：推荐系统，高维数据填补，缺失数据统计推断 | 工作经历 Work Experience 2026.7-now Associate Professor 2021.8-2026.6 Lecturer 教育背景/经历 Education 2021 Ph.D. in Statistics, Iowa State University 2015 B.S. in Statistics, Beijing Normal University 学术论文 Publications [1] Mao, X., Wang, H.*, and Zhang, X. (2026). Efficient Quantization Mean Estimation for Distributed Learning. Journal of Computational and Graphical Statistics, 35(2), 830–839. [2] Wang, Z., Mao, X., Kim, J. K.*, and Wang, H. (2026). Selection Bias Adjustment by Functional Transfer Learning via Reproducing Kernel Hilbert Space. Journal of Business & Economic Statistics, 44(1), 177–187. [3] Mao, X., Wang, H.*, and Wang, Z. (2025). Group-Sparse Inductive Matrix Completion Through Transfer Learning. IEEE Transactions on Information Theory, 71(11), 8673–8696. [4] Wang, H. and Kim, J. K.* (2025). Information projection approach to smoothed propensity score weighting for handling selection bias under missing at random. Annals of the Institute of Statistical Mathematics, 77(1), 127–153. [5] Xu, P., Nie, Q., Huang, R., Shi, J., Ren, J., You, R., Wang, H.*, Yang, Y.*, and Lu, Y.* (2024). A fast and highly efficient strategy for detection of camellia oil adulteration using machine learning assisted SERS. LWT, 213, 117069. [6] Mao, X., Wang, H.*, Wang, Z., and Yang, S. (2024). Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness. Journal of Computational and Graphical Statistics, 33(4), 1320–1328. [7] Wang, H., Kim, J. K.*, Han, J., and Lee, Y. (2024). Robust propensity score weighting estimation under missing at random. Electronic Journal of Statistics, 18(2), 2687–2720. [8] Wang, H. and Kim, J. K.* (2023). Statistical inference using regularized M-estimation in the reproducing kernel Hilbert space for handling missing data. Annals of the Institute of Statistical Mathematics, 75, 911–929. [9] Wang, H., Zhang, Y., Mao, X.*, and Wang, Z. (2023). Transductive Matrix Completion with Calibration for Multi-Task Learning. ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (CCF B), Rhodes Island, Greece, pp. 1–5. [10] Wang, H. and Kim, J. K.* (2020). Variance estimation after kernel ridge regression imputation. ICML 2020 Workshop Artemiss. [11] 张澍一, 陈松蹊*, 郭斌, 王恒放, 林伟 (2020). 气象调整下的区域空气质量评估. 中国科学: 数学, 50(4), 527–558. [12] Chen, L., Guo, B.*, Huang, J., He, J., Wang, H., Zhang, S., and Chen, S. X.* (2018). Assessing air-quality in Beijing-Tianjin-Hebei region: The method and mixed tales of PM2.5 and O3. Atmospheric Environment, 193, 290–301. |