| Online nonnegative matrix factorization with outliers R Zhao, VYF Tan IEEE Transactions on Signal Processing 65 (3), 555–570, 2017 | 64 | 2017 |
| Accelerated Stochastic Algorithms for Convex-Concave Saddle-Point Problems R Zhao Mathematics of Operations Research, 2022 | 41* | 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 | 34 | 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 | 33 | 2017 |
| An Inexact Primal Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems LTK Hien, R Zhao, WB Haskell arXiv preprint arXiv:1711.03669, 2018 | 32* | 2018 |
| Online nonnegative matrix factorization with general divergences R Zhao, VYF Tan, H Xu International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017 | 32 | 2017 |
| Adversarial Top- Ranking C Suh, VYF Tan, R Zhao IEEE Transactions on Information Theory 63 (4), 2201-2225, 2017 | 28 | 2017 |
| A Primal Dual Smoothing Framework for Max-Structured Nonconvex Optimization R Zhao Mathematics of Operations Research, 2022, 2020 | 20 | 2020 |
| Stochastic Three-Composite Convex Minimization with a Linear Operator R Zhao, V Cevher International Conference on Artificial Intelligence and Statistics (AISTATS …, 2018 | 18 | 2018 |
| Structured sparse K-means clustering via Laplacian smoothing W Gong, R Zhao, S Grünewald Pattern Recognition Letters 112, 63-69, 2018 | 14 | 2018 |
| Analysis of the Frank–Wolfe method for convex composite optimization involving a logarithmically-homogeneous barrier R Zhao, RM Freund Mathematical Programming, 1-41, 2022 | 13* | 2022 |
| An Optimal Algorithm for Stochastic Three-Composite Optimization R Zhao, WB Haskell, VYF Tan International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019 | 8 | 2019 |
| Onset detection based on fusion of Simpls and SuperFlux Z Zhang, D Huang, R Zhao, M Dong Music Information Retrieval Evaluation eXchange, 2013 | 5 | 2013 |
| Convergence rate analysis of the multiplicative gradient method for PET-type problems R Zhao Operations Research Letters 51 (1), 26-32, 2023 | 2* | 2023 |
| 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 |
| Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe R Zhao, N Dalmasso, M Ghassemi, VK Potluru, T Balch, M Veloso NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | | 2022 |
| The Generalized Multiplicative Gradient Method and Its Convergence Rate Analysis R Zhao arXiv preprint arXiv:2207.13198, 2022 | | 2022 |
| A Generalized Frank-Wolfe Method With “Dual Averaging” for Strongly Convex Composite Optimization R Zhao, Q Zhu Optimization Letters, 2022, 2021 | | 2021 |
Vincent Y. F. TanDean's Chair Associate Professor, National University of SingaporeVerified email at nus.edu.sg
