Journal：
Wang, Z., and Zhu, Z. (2026), Resampling Method for Generalized One-per-Stratum Sampling Designs, Statistica Sinica, 36, 867-885
Shuai, D., Deng, Q., Zhong, W., Lu, Y., Zhong, Q. and Wang, Z. (2026), Bridging Land and Sea: A Latent Diffusion Framework for High-Resolution Ocean Floor Mapping, Expert Systems With Applications, 297, 129386
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
Mao, X., Wang, H. and Wang, Z. (2025), Group-Sparse Inductive Matrix Completion through Transfer Learning, IEEE Transactions on Information Theory, 77(11), 8673-8696
Chen, Q., Cui, Y., Hong, G. et al. (2025), Towards Long-Range ENSO Prediction with an Explainable Deep Learning Model, npj Climate and Atmospheric Science, 8, 259
Xu, P., Zheng, X., Gao, T. et al. (2025), An Artificial Intelligence-based Limited Area Model for Forecasting of Surface Meteorological Variables, Communications Earth & Environment, 6, 372
Zhang, X., Ren, C., Wang, Z., Li, X. and Zhang, Y. (2025), Gap-filling GRACE and GRACE-FO data with a climate adjustment scheme using Singular Spectrum analysis, Journal of Hydrology, 132782
Gang, M., Wang, X., Wang, Z. and Zhong, W. (2024), Probability-Weighted Clustered Coefficient Regression Models in Complex Survey Sampling, Electronic Journal of Statistics, 18(2), 4198–4234
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
Zhan, T., Mao, X., Wang, J. and Wang, Z. (2024), Collective Matrix Completion via Graph Extraction, IEEE Signal Processing Letters, 31, 2620-2624
He, X., Mao, X., and Wang, Z. (2024), Nonparametric augmented probability weighting with sparsity, Computational Statistics & Data Analysis, 191, 107890
Kim, J.K., Rao, J.N.K., and Wang, Z. (2024), Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach, Journal of the American Statistical Association, 119(546), 1229–1239
Mao, X., Wang, Z. and Yang, S. (2023), Matrix completion under complex survey sampling, Annals of the Institute of Statistical Mathematics, 75, 463-492
Wang, Z., Kim, H.J. and Kim, J.K. (2023), Survey data integration for regression analysis using model calibration, Survey Methodology, 49(1), 89-115
Wang, Z. and Kim, J.K. (2022), Comments on "Statistical inference with non-probability survey samples", Survey Methodology, 48(2), 361-366
Wang, Z., Peng, L., and Kim, J.K. (2022), Bootstrap Inference for the Finite Population Mean under Complex Sampling Designs, Journal of the Royal Statistical Society Series B (Statistical Methodology), 84(4), 1150-1174
Mao, X., Peng, L., and Wang, Z.. (2022), Nonparametric Feature Selection by Random Forests and Deep Neural Networks, Computational Statistics & Data Analysis, 170, 107436
Zhang, X., Wang, Y.P., Rayner, P.J. et al. (2021), A small climate-amplifying effect of climate-carbon cycle feedback, Nature Communications, 12, 2952
Wang, Z.. (2019), Monte Carlo Sampling Using Reservoir, Computational Statistics & Data Analysis, 139, 64-74
Wang, Z. and Zhu, Z. (2019). Spatiotemporal Balanced Sampling Design for Longitudinal Area Survey, Journal of Agriculture, Biological and Environmental Statistics, 24(2), 245-263
Kim, J.K. and Wang, Z. (2018). Sampling Techniques for Big Data Analysis, International Statistics Review, 84(S1), S177-S191
Wang, Z., Kim J. K. and Yang, S. (2018). Approximate Bayesian Inference under Informative Sampling, Biometrika, 105(1), 91-102
Yin, S., Wang, Z., Zhu, Z., Zou, X. and Wang, W. (2018). Using Kriging with a Heterogeneous Measurement Error to Improve the Accuracy of Extreme Precipitation Return Level Estimation, Journal of Hydrology, 562, 518-529
Kim, J.K., Wang, Z., Zhu, Z.and Cruze, N.(2018). Combining survey and non-survey data for improved sub-area prediction using a multi-level model, Journal of Agriculture, Biological and Environmental Statistics, 23(2), 175-189
Huang, C., Zheng, X., Tail, A. et al. (2014), On using smoothing spline and residual correction to fuse rain gauge observations and remote sensing data, Journal of Hydrology, 508(16), 410-417
Li, T., Zheng, X., Dai, Y. et al. (2014), Mapping near-surface air temperature, pressure, relative humidity and wind speed over Mainland China with high spatiotemporal resolution, Advances in Atmospheric Sciences, 31(5), 1127-1135
Huang, Z., Wang, Z., Zhang, R., Gao, J., Shu, T., Wang, Z., and Lu, Y. (2026+) Decoupling Ordered Features and Tail-Aware Decisions for Long-Tailed Ordinal Segmentation, 9th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2026), (To appear soon)
Chen, B., Zhou, Z., Peng, L., and Wang, Z. (2025) Balanced Active Inference, 39th Conference on Neural Information Processing Systems (NeurIPS 2025), 38, 51742-51763
Gu, B., Zheng, S., Mao, X., and Wang, Z. (2025) Transfer Learning via Functional Balancing in Reproducing Kernel Hilbert Spaces, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 1-5
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), 1-5
Pu, Y., Feng, Z., Wang, Z., Yang, Z. and Li, J. (2021). Anomaly Detection for In situ Marine Plankton Images, ICCV Workshop in Computer Vision in the Ocean, 3661-3671
Conference：