| Phase transitions of spectral initialization for high-dimensional non-convex estimation YM Lu, G Li Information and Inference: A Journal of the IMA 9 (3), 507-541, 2020 | 64 | 2020 |
| Nonconvex low-rank symmetric tensor completion from noisy data C Cai, G Li, HV Poor, Y Chen arXiv preprint arXiv:1911.04436, 2019 | 26 | 2019 |
| Active orthogonal matching pursuit for sparse subspace clustering Y Chen, G Li, Y Gu IEEE Signal Processing Letters 25 (2), 164-168, 2017 | 23 | 2017 |
| Restricted isometry property of gaussian random projection for finite set of subspaces G Li, Y Gu IEEE Transactions on Signal Processing 66 (7), 1705-1720, 2017 | 22 | 2017 |
| Phase retrieval using iterative projections: Dynamics in the large systems limit G Li, Y Gu, YM Lu 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 22 | 2015 |
| Breaking the sample size barrier in model-based reinforcement learning with a generative model G Li, Y Wei, Y Chi, Y Gu, Y Chen Advances in Neural Information Processing Systems 33, 2020 | 19* | 2020 |
| Subspace estimation from unbalanced and incomplete data matrices: ℓ2,∞ statistical guarantees C Cai, G Li, Y Chi, HV Poor, Y Chen The Annals of Statistics 49 (2), 944-967, 2021 | 14* | 2021 |
| Sample complexity of asynchronous Q-learning: Sharper analysis and variance reduction G Li, Y Wei, Y Chi, Y Gu, Y Chen arXiv preprint arXiv:2006.03041, 2020 | 12 | 2020 |
| A general framework for understanding compressed subspace clustering algorithms L Meng, G Li, J Yan, Y Gu IEEE Journal of Selected Topics in Signal Processing 12 (6), 1504-1519, 2018 | 9 | 2018 |
| Rigorous restricted isometry property of low-dimensional subspaces G Li, Q Liu, Y Gu Applied and Computational Harmonic Analysis 49 (2), 608-635, 2020 | 7 | 2020 |
| Distance-preserving property of random projection for subspaces G Li, Y Gu 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 7 | 2017 |
| An RIP-based performance guarantee of covariance-assisted matching pursuit J Wang, G Li, L Rencker, W Wang, Y Gu IEEE Signal Processing Letters 25 (6), 828-832, 2018 | 6 | 2018 |
| Subspace principal angle preserving property of gaussian random projection Y Jiao, X Shen, G Li, Y Gu 2018 IEEE Data Science Workshop (DSW), 115-119, 2018 | 4 | 2018 |
| Principal angles preserving property of Gaussian random projection for subspaces Y Jiao, G Li, Y Gu 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 3 | 2017 |
| Unraveling the veil of subspace rip through near-isometry on subspaces X Xu, G Li, Y Gu IEEE Transactions on Signal Processing 68, 3117-3131, 2020 | 2 | 2020 |
| Compressed subspace learning based on canonical angle preserving property Y Jiao, G Li, Y Gu arXiv preprint arXiv:1907.06166, 2019 | 2 | 2019 |
| Spectral initialization for nonconvex estimation: high-dimensional limit and phase transitions YM Lu, G Li 2017 IEEE International Symposium on Information Theory (ISIT), 3015-3019, 2017 | 2 | 2017 |
| Approximation of Gram-Schmidt Orthogonalization by Data Matrix G Li, Y Gu arXiv preprint arXiv:1701.00711, 2016 | 2 | 2016 |
| Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph G Li, Y Gu arXiv preprint arXiv:1907.10906, 2019 | 1 | 2019 |
| Linear convergence of an iterative phase retrieval algorithm with data reuse G Li, Y Jiao, Y Gu arXiv preprint arXiv:1712.01712, 2017 | 1 | 2017 |
