Sparse PCA: Optimal rates and adaptive estimation TT Cai, Z Ma, Y Wu The Annals of Statistics 41 (6), 3074-3110, 2013 | 338 | 2013 |

LECTURE NOTES ON INFORMATION THEORY Y Polyanskiy, Y Wu | 264 | 2014 |

Estimation in Gaussian noise: Properties of the minimum mean-square error D Guo, Y Wu, SS Shitz, S Verdú IEEE Transactions on Information Theory 57 (4), 2371-2385, 2011 | 249 | 2011 |

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming B Hajek, Y Wu, J Xu arXiv preprint arXiv:1412.6156, 2014 | 240 | 2014 |

Minimax rates of entropy estimation on large alphabets via best polynomial approximation Y Wu, P Yang IEEE Transactions on Information Theory 62 (6), 3702-3720, 2016 | 238 | 2016 |

Rényi information dimension: Fundamental limits of almost lossless analog compression Y Wu, S Verdú IEEE Transactions on Information Theory 56 (8), 3721-3748, 2010 | 182 | 2010 |

Optimal estimation and rank detection for sparse spiked covariance matrices T Cai, Z Ma, Y Wu Probability Theory and Related Fields 161 (3-4), 781-815, 2013 | 161 | 2013 |

Optimal phase transitions in compressed sensing Y Wu, S Verdú IEEE Transactions on Information Theory 58 (10), 6241-6263, 2012 | 148 | 2012 |

Computational barriers in minimax submatrix detection Z Ma, Y Wu The Annals of Statistics 43 (3), 1089-1116, 2015 | 146 | 2015 |

Functional Properties of Minimum Mean-square Error and Mutual Information Y Wu, S Verdú Information Theory, IEEE Transactions on, 2012, 0 | 141* | |

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions B Hajek, Y Wu, J Xu IEEE Transactions on Information Theory 62 (10), 5918-5937, 2016 | 135 | 2016 |

Optimal prediction of the number of unseen species A Orlitsky, AT Suresh, Y Wu Proceedings of the National Academy of Sciences 113 (47), 13283-13288, 2016 | 133 | 2016 |

Chebyshev polynomials, moment matching, and optimal estimation of the unseen Y Wu, P Yang The Annals of Statistics, 2015 | 121* | 2015 |

Wasserstein continuity of entropy and outer bounds for interference channels Y Polyanskiy, Y Wu IEEE Transactions on Information Theory 62 (7), 3992--4002, 2016 | 115 | 2016 |

Computational lower bounds for community detection on random graphs B Hajek, Y Wu, J Xu Conference on Learning Theory, 899-928, 2015 | 114 | 2015 |

Strong data-processing inequalities for channels and Bayesian networks Y Polyanskiy, Y Wu arXiv preprint arXiv:1508.06025, 2015 | 105 | 2015 |

Distributed robust optimization for communication networks K Yang, Y Wu, J Huang, X Wang, S Verdú IEEE INFOCOM 2008-The 27th Conference on Computer Communications, 1157-1165, 2008 | 96 | 2008 |

Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization K Lee, Y Wu, Y Bresler IEEE Transactions on Information Theory 64 (3), 1666-1698, 2018 | 94 | 2018 |

Dissipation of information in channels with input constraints Y Polyanskiy, Y Wu IEEE Transactions on Information Theory 62 (1), 35-55, 2015 | 94 | 2015 |

MMSE dimension Y Wu, S Verdú IEEE Transactions on Information Theory 57 (8), 4857-4879, 2011 | 88 | 2011 |