| Fast depth image denoising and enhancement using a deep convolutional network X Zhang, R Wu 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 83 | 2016 |
| Maximum volume inscribed ellipsoid: A new simplex-structured matrix factorization framework via facet enumeration and convex optimization CH Lin, R Wu, WK Ma, CY Chi, Y Wang SIAM Journal on Imaging Sciences 11 (2), 1651-1679, 2018 | 55 | 2018 |
| Hyperspectral super-resolution via global–local low-rank matrix estimation R Wu, WK Ma, X Fu, Q Li IEEE Transactions on Geoscience and Remote Sensing 58 (10), 7125-7140, 2020 | 30 | 2020 |
| Federated block coordinate descent scheme for learning global and personalized models R Wu, A Scaglione, HT Wai, N Karakoc, K Hreinsson, WK Ma Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10355 …, 2021 | 23 | 2021 |
| A stochastic maximum-likelihood framework for simplex structured matrix factorization R Wu, WK Ma, X Fu 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 14 | 2017 |
| Memory-efficient convex optimization for self-dictionary separable nonnegative matrix factorization: A frank–wolfe approach T Nguyen, X Fu, R Wu IEEE Transactions on Signal Processing 70, 3221-3236, 2022 | 13 | 2022 |
| Federated edge network utility maximization for a multi-server system: Algorithm and convergence N Karakoç, A Scaglione, M Reisslein, R Wu IEEE/ACM Transactions on Networking 30 (5), 2002-2017, 2022 | 12 | 2022 |
| Probabilistic simplex component analysis R Wu, WK Ma, Y Li, AMC So, ND Sidiropoulos IEEE Transactions on Signal Processing 70, 582-599, 2021 | 12 | 2021 |
| Hybrid inexact BCD for coupled structured matrix factorization in hyperspectral super-resolution R Wu, HT Wai, WK Ma IEEE Transactions on Signal Processing 68, 1728-1743, 2020 | 10 | 2020 |
| Hi, BCD! Hybrid Inexact Block Coordinate Descent for Hyperspectral Super-Resolution R WU, CH Chan, HT Wai, WK Ma, X Fu | 9 | 2018 |
| Is there any recovery guarantee with coupled structured matrix factorization for hyperspectral super-resolution? H Liu, R Wu, WK Ma 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 4 | 2019 |
| Stochastic ML simplex-structured matrix factorization under the Dirichlet mixture model R Wu, Q Li, WK Ma ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4 | 2019 |
| Application of the fuzzy gain scheduling IMC-PID for the boiler pressure control XF Li, SH Chen, R Wu 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 682-688, 2014 | 4 | 2014 |
| Stochastic ML estimation for hyperspectral unmixing under endmember variability and nonlinear models Y Li, R Wu, WK Ma ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 3 | 2020 |
| A convex low-rank regularization method for hyperspectral super-resolution R Wu, Q Li, X Fu, WK Ma 2018 IEEE Statistical Signal Processing Workshop (SSP), 383-387, 2018 | 2 | 2018 |
| The IMC-PID controller design for TITO process using closed-loop identification method XF Li, R Wu, W Zhang 2014 13th International Conference on Control Automation Robotics & Vision …, 2014 | 2 | 2014 |
| Memory-efficient convex optimization for self-dictionary nonnegative matrix factorization T Nguyen, X Fu, R Wu 2022 56th Asilomar Conference on Signals, Systems, and Computers, 1372-1376, 2022 | 1 | 2022 |
| A Power Prediction System for Photo-Voltaic Power Plants XF Li, R Wu, Y Gao, X Zhou, Y Li, Z Zheng 2018 2nd IEEE Conference on Energy Internet and Energy System Integration …, 2018 | 1 | 2018 |
| A Simple Scheme for Coupled Factorization for Hyperspectral Super-Resolution: Exploiting Sparsity in an Easy Way Y Li, WK Ma, R Wu, H Liu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | | 2023 |
| Towards Better Understanding of Hyperspectral Imaging: Unmixing and Super-Resolution under Low-Rank Model R Wu PQDT-Global, 2021 | | 2021 |
