- Zvika Ben-Haim, Yonina C. Eldar, Michael Elad, “Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise”, IEEE Trans. Signal Process., 58, № 10, 2010, 5030
- Miroslav Pajic, Paulo Tabuada, Insup Lee, George J. Pappas, 2015 54th IEEE Conference on Decision and Control (CDC), 2015, 5827
- Ted Kronvall, Andreas Jakobsson, “Hyperparameter selection for group-sparse regression: A probabilistic approach”, Signal Processing, 151, 2018, 107
- Hsiang-Ling Hsu, Ching-Kang Ing, Tze Leung Lai, Handbook of Big Data Analytics, 2018, 263
- Junjun Jiang, Jiayi Ma, Suhua Tang, Yi Yu, Kiyoharu Aizawa, “Face hallucination through differential evolution parameter map learning with facial structure prior”, Information Sciences, 481, 2019, 174
- Huixin Fan, Jie Li, Qiangqiang Yuan, Xinxin Liu, Michael Ng, “Hyperspectral image denoising with bilinear low rank matrix factorization”, Signal Processing, 163, 2019, 132
- Chenhao Qi, Lenan Wu, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), 2011, 1
- JÉrÔme Bobin, Jean-Luc Starck, Jalal Fadili, Yassir Moudden, “Sparsity and Morphological Diversity in Blind Source Separation”, IEEE Trans. on Image Process., 16, № 11, 2007, 2662
- Abhimanyu Das, David Kempe, Proceedings of the fortieth annual ACM symposium on Theory of computing, 2008, 45
- Linghe Kong, Bowen Wang, Guihai Chen, When Compressive Sensing Meets Mobile Crowdsensing, 2019, 17