Time-varying graph signal reconstruction K Qiu, X Mao, X Shen, X Wang, T Li, Y Gu IEEE Journal of Selected Topics in Signal Processing 11 (6), 870-883, 2017 | 150 | 2017 |
Walkman: A communication-efficient random-walk algorithm for decentralized optimization X Mao, K Yuan, Y Hu, Y Gu, AH Sayed, W Yin IEEE Transactions on Signal Processing 68, 2513-2528, 2020 | 80 | 2020 |
Spatio-temporal signal recovery based on low rank and differential smoothness X Mao, K Qiu, T Li, Y Gu IEEE Transactions on Signal Processing 66 (23), 6281-6296, 2018 | 47 | 2018 |
Walk proximal gradient: An energy-efficient algorithm for consensus optimization X Mao, Y Gu, W Yin IEEE Internet of Things Journal 6 (2), 2048-2060, 2018 | 29 | 2018 |
Compressed subspace clustering: A case study X Mao, Y Gu 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014 | 21 | 2014 |
An improved analysis and rates for variance reduction under without-replacement sampling orders X Huang, K Yuan, X Mao, W Yin Advances in Neural Information Processing Systems 34, 3232-3243, 2021 | 14 | 2021 |
A communication-efficient random-walk algorithm for decentralized optimization W Yin, X Mao, K Yuan, Y Gu, AH Sayed arXiv preprint arXiv:1804.06568, 2018 | 12 | 2018 |
Change-point detection of gaussian graph signals with partial information Y Chen, X Mao, D Ling, Y Gu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 9 | 2018 |
Time-varying graph signals reconstruction X Mao, Y Gu Vertex-Frequency Analysis of Graph Signals, 293-316, 2019 | 8 | 2019 |
A Joint Detection and Reconstruction Method for Blind Graph Signal Recovery X Mao, Y Gu 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 2 | 2018 |
Downsampling for sparse subspace clustering X Mao, X Wang, Y Gu 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 2 | 2015 |
On the comparison between cyclic sampling and random reshuffling X Huang, K Yuan, X Mao, W Yin arXiv preprint arXiv:2104.12112, 2021 | 1 | 2021 |