Publications
Current or former advisee is indicated by *.
Refereed Journals and Transactions (published or accepted):
14. Zhang, R., 2025, “Robust Sequential Change Detection: The Approach Based on Breakdown Points and Influence Functions”, IEEE Transactions on Information Theory, vol. 71, pages 5620-5632.
13. Konyar, E., Reisi, M., Zhang, R., 2025, “Robust Generalized Scalar-on-Tensor Regression”, IISE Transactions, vol. 57(2), pages 145–157.
12. Cao, S.*, Zhang, R., 2025, “An Adaptive Approach for Online Monitoring of Large Scale Data Streams”, IISE Transactions, vol. 57(2), pages 119–130.
11. Zhang, R., 2024, “Detection of Sparse Mixtures with Differential Privacy”, IEEE Journal on Selected Areas in Information Theory, vol. 5, pages 347-356.
10. Zhan, Y., Zhang, R., Zhou, Y., Stoerger, V., Hiller, J., Awada, T., Ge, Y., 2023, “Rapid Online Plant Leaf Area Change Detection with High-Throughput Plant Image Data”, Journal of Applied Statistics, vol. 50, pages 2984-2998.
9. Sha, F.*, Zhang, R., 2022, “Adversarially robust subspace learning in the spiked covariance model”, Statistical Analysis and Data Mining, vol 15, pages 521-530.
8. Cao, S.*, Zhang, R., Zou, S., 2022, “Adversarially Robust Sequential Hypothesis Testing”, Sequential Analysis, vol 41, page 81-103.
7. Sun, Z., Zou, S., Zhang, R., Li, Q., 2022, “Quickest Change Detection in Anonymous Heterogeneous Sensor Networks”, IEEE Transactions on Signal Processing, vol. 70, page 1041-1055.
6. Zhang, R., Mei, Y., Shi, J., 2022, “Robust Change Detection for Large-Scale Data Streams,” Sequential Analysis, vol 41, page 1-19. (The conference poster version won the best student poster award in the workshop on Biostatistics and Bioinformatics 2017 and the conference version received the Best Student Paper Award Finalist in Quality, Statistics, and Reliability Section of INFORMS 2018)
5. Zhang, R., Mei, Y., Shi, J., Xu, H., 2022, “Robustness and Tractability for Non-convex M-estimators”, Statistica Sinica, vol 32, pages 1295-1316.
4. Liu, K., Zhang, R., Mei, Y., 2019, “Scalable SUM-shrinkage schemes for distributed monitoring large-scale data streams”, Statistica Sinica, vol. 29, page 1-22.
3. Zhang, R., Mei, Y., 2018, “Asymptotic Statistical Properties of Communication-Efficient Quickest Detection Schemes in Sensor Networks”, Sequential Analysis, vol. 37, page 375-396.
2. Zhang, R., Mei, Y., Shi, J., 2018, “Wavelet-based Profile Monitoring Using Order-Thresholding Recursive CUSUM Schemes”, In Y. Zhao and D. G. Chen (ed.) New Frontiers in Biostatistics and Bioinformatics, Cham, Switzerland: Springer, pages 141-159.
1. Zhang, R., Wang, J., Mei, Y., 2017, “Search for evergreens in science: a functional data analysis”, Journal of Informetrics, vol. 11, page 629-644.
Conference Proceedings:
8. Zhang, R., 2025, “Optimal Bounded-Influence Procedure for Robust Sequential Change-Point Detection.” ISIT 2025, accepted.
7. Zhang, R., Cao, S., 2023, "Differentially Private Detection of Sparse Gaussian Mixtures", ISIT 2023.
6. Sha, F.*, Zhang, R., 2022, “Quickest Detection of the Change of Community via Stochastic Block Models”, ISIT 2022.
5. Sun, Z., Li, Q., Zhang, R., Zou, S., 2021, “A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks”, ISIT 2021.
4. Xing, Y., Zhang, R., Cheng, G., "Adversarially Robust Estimate and Risk Analysis in Linear Regression", AISTATS 2021.
3. Li, S., Wang, L., Zhang, R., Chang, X., Liu, X., Xie, Y., Qi, Y., Song, L., “Temporal logic point processes”, ICML 2020.
2. Zhang, R., Zou, S., “A Game-Theoretic Approach to Sequential Detection in Adversarial Environments”, IEEE International Symposium on Information Theory (ISIT), 2020.
1. Suh, N., Zhang, R., Mei, Y., 2019, “Adaptive Online Monitoring of the Ising model”, In Proceedings of the 57th Annual Allerton Conference on Communication, Control, and Computing, pages 426 -431.