| Online nonnegative matrix factorization with outliers R Zhao, VYF Tan IEEE Transactions on Signal Processing 65 (3), 555–570, 2017 | 82 | 2017 |
| Accelerated Stochastic Algorithms for Convex-Concave Saddle-Point Problems R Zhao Mathematics of Operations Research, 2022 | 64* | 2022 |
| Stochastic L-BFGS: Improved Convergence Rates and Practical Acceleration Strategies R Zhao, WB Haskell, VYF Tan IEEE Transactions on Signal Processing 66 (5), 1155–1169, 2018 | 42 | 2018 |
| A unified convergence analysis of the multiplicative update algorithm for nonnegative matrix factorization R Zhao, VYF Tan IEEE Transactions on Signal Processing 66 (1), 129–138, 2017 | 41 | 2017 |
| Analysis of the Frank–Wolfe method for convex composite optimization involving a logarithmically-homogeneous barrier R Zhao, RM Freund Mathematical Programming 199 (1-2), 123-163, 2023 | 40* | 2023 |
| Online nonnegative matrix factorization with general divergences R Zhao, VYF Tan, H Xu International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017 | 40 | 2017 |
| An Inexact Primal Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems LTK Hien, R Zhao, WB Haskell Journal of Optimization Theory and Applications, 2024, 2018 | 38* | 2018 |
| A Primal Dual Smoothing Framework for Max-Structured Nonconvex Optimization R Zhao Mathematics of Operations Research, 2022, 2020 | 32* | 2020 |
| Adversarial Top- Ranking C Suh, VYF Tan, R Zhao IEEE Transactions on Information Theory 63 (4), 2201-2225, 2017 | 32 | 2017 |
| Stochastic Three-Composite Convex Minimization with a Linear Operator R Zhao, V Cevher International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018 | 20 | 2018 |
| Structured sparse K-means clustering via Laplacian smoothing W Gong, R Zhao, S Grünewald Pattern Recognition Letters 112, 63-69, 2018 | 16 | 2018 |
| An Optimal Algorithm for Stochastic Three-Composite Optimization R Zhao, WB Haskell, VYF Tan International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019 | 11 | 2019 |
| Efficient event series data modeling via first-order constrained optimization N Dalmasso, R Zhao, M Ghassemi, V Potluru, T Balch, M Veloso Proceedings of the Fourth ACM International Conference on AI in Finance, 463-471, 2023 | 7* | 2023 |
| Convergence rate analysis of the multiplicative gradient method for PET-type problems R Zhao Operations Research Letters 51 (1), 26-32, 2023 | 7* | 2023 |
| Onset detection based on fusion of Simpls and SuperFlux Z Zhang, D Huang, R Zhao, M Dong Music Information Retrieval Evaluation eXchange (MIREX 2013), 2013 | 5 | 2013 |
| New Analysis of an Away-Step Frank–Wolfe Method for Minimizing Log-Homogeneous Barriers R Zhao Mathematics of Operations Research, 2025 | 4* | 2025 |
| The Generalized Multiplicative Gradient Method and Its Convergence Rate Analysis R Zhao arXiv preprint arXiv:2207.13198, 2022 | 3 | 2022 |
| Soft constrained leading voice separation with music score guidance R Zhao, SW Lee, DY Huang, M Dong The 9th International Symposium on Chinese Spoken Language Processing, 565-569, 2014 | 2 | 2014 |
| Dynamic learning policy for multi-warehouse multi-store systems with censored demands S Miao, Y Wang, R Zhao Available at SSRN 4617620, 2023 | 1 | 2023 |
| A Generalized Frank-Wolfe Method With “Dual Averaging” for Strongly Convex Composite Optimization R Zhao, Q Zhu Optimization Letters, 2022, 2021 | 1 | 2021 |
Vincent Y. F. TanProfessor, Department of Mathematics, National University of SingaporeVerified email at nus.edu.sg
