Interest dissemination with directional antennas for wireless sensor networks with mobile sinks. - Yihong Wu 001; Lin Zhang; Yiqun Wu; Zhisheng Niu (SenSys, 2006)

Distributed Robust Optimization for Communication Networks. - Kai Yang 001; Yihong Wu 001; Jianwei Huang 001; Xiaodong Wang 001; Sergio Verdú (INFOCOM, 2008)

Fundamental limits of almost lossless analog compression. - Yihong Wu 001; Sergio Verdú (ISIT, 2009)

Motion-Indicated Interest Dissemination With Directional Antennas for Wireless Sensor Networks With Mobile Sinks. - Yiqun Wu; Lin Zhang; Yihong Wu 001; Zhisheng Niu (IEEE Trans. Veh. Technol., 2009)

The impact of constellation cardinality on Gaussian channel capacity. - Yihong Wu 001; Sergio Verdú (Allerton, 2010)

Functional properties of MMSE. - Yihong Wu 001; Sergio Verdú (ISIT, 2010)

Rényi information dimension: fundamental limits of almost lossless analog compression. - Yihong Wu 001; Sergio Verdú (IEEE Trans. Inf. Theory, 2010)

Witsenhausen's counterexample: A view from optimal transport theory. - Yihong Wu 001; Sergio Verdú (CDC/ECC, 2011)

Energy-optimized lossless compression: Rate-variability tradeoff. - Yihong Wu 001; Erik Ordentlich; Marcelo J. Weinberger (ISIT, 2011)

Degrees of freedom of the interference channel: A general formula. - Yihong Wu 001; Shlomo Shamai; Sergio Verdú (ISIT, 2011)

Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error. - Dongning Guo; Yihong Wu 001; Shlomo Shamai (Shitz); Sergio Verdú (IEEE Trans. Inf. Theory, 2011)

Derivative of Mutual Information at Zero SNR: The Gaussian-Noise Case. - Yihong Wu 001; Dongning Guo; Sergio Verdú (IEEE Trans. Inf. Theory, 2011)

MMSE Dimension. - Yihong Wu 001; Sergio Verdú (IEEE Trans. Inf. Theory, 2011)

Piecewise constant prediction. - Erik Ordentlich; Marcelo J. Weinberger; Yihong Wu 001 (ISIT, 2012)

Optimal phase transitions in compressed sensing with noisy measurements. - Yihong Wu 001; Sergio Verdú (ISIT, 2012)

Optimal Detection For Sparse Mixtures - T. Tony Cai; Yihong Wu 001 (CoRR, 2012)

Functional Properties of Minimum Mean-Square Error and Mutual Information. - Yihong Wu 001; Sergio Verdú (IEEE Trans. Inf. Theory, 2012)

Optimal Phase Transitions in Compressed Sensing. - Yihong Wu 001; Sergio Verdú (IEEE Trans. Inf. Theory, 2012)

Recent results on sparse principle component analysis. - T. Tony Cai; Zongming Ma; Yihong Wu 001 (CAMSAP, 2013)

Tight Lower Bound for Linear Sketches of Moments. - Alexandr Andoni; Huy L. Nguyên; Yury Polyanskiy; Yihong Wu 001 (ICALP (1), 2013)

Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization. - Kiryung Lee; Yihong Wu 001; Yoram Bresler (CoRR, 2013)

Computational Barriers in Minimax Submatrix Detection. - Zongming Ma; Yihong Wu 001 (CoRR, 2013)

Optimal Detection of Sparse Mixtures Against a Given Null Distribution. - T. Tony Cai; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2014)

Peak-to-Average Power Ratio of Good Codes for Gaussian Channel. - Yury Polyanskiy; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2014)

Achieving exact cluster recovery threshold via semidefinite programming under the stochastic block model. - Yihong Wu 001; Jiaming Xu 002; Bruce E. Hajek (ACSSC, 2015)

Computational Lower Bounds for Community Detection on Random Graphs. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (COLT, 2015)

Strong data processing inequalities in power-constrained Gaussian channels. - Flávio P. Calmon; Yury Polyanskiy; Yihong Wu 001 (ISIT, 2015)

Optimal entropy estimation on large alphabets via best polynomial approximation. - Yihong Wu 001; Pengkun Yang (ISIT, 2015)

Exact recovery threshold in the binary censored block model. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (ITW Fall, 2015)

Recovering a Hidden Community Beyond the Spectral Limit in O(|E|log*|V|) Time. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2015)

A note on the strong data-processing inequalities in Bayesian networks. - Yury Polyanskiy; Yihong Wu 001 (CoRR, 2015)

Volume Ratio, Sparsity, and Minimaxity Under Unitarily Invariant Norms. - Zongming Ma; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2015)

Information Dimension and the Degrees of Freedom of the Interference Channel. - Yihong Wu 001; Shlomo Shamai (Shitz); Sergio Verdú (IEEE Trans. Inf. Theory, 2015)

Semidefinite Programs for Exact Recovery of a Hidden Community. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (COLT, 2016)

On additive-combinatorial affine inequalities for Shannon entropy and differential entropy. - Ashok Vardhan Makkuva; Yihong Wu 001 (ISIT, 2016)

Converse bounds for interference channels via coupling and proof of Costa's conjecture. - Yury Polyanskiy; Yihong Wu 001 (ISIT, 2016)

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (IEEE Trans. Inf. Theory, 2016)

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (IEEE Trans. Inf. Theory, 2016)

Dissipation of Information in Channels With Input Constraints. - Yury Polyanskiy; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2016)

Wasserstein Continuity of Entropy and Outer Bounds for Interference Channels. - Yury Polyanskiy; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2016)

Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation. - Yihong Wu 001; Pengkun Yang (IEEE Trans. Inf. Theory, 2016)

Sample complexity of population recovery. - Yury Polyanskiy; Ananda Theertha Suresh; Yihong Wu 001 (COLT, 2017)

Optimal rates of entropy estimation over Lipschitz balls. - Yanjun Han; Jiantao Jiao; Tsachy Weissman; Yihong Wu 001 (CoRR, 2017)

Submatrix localization via message passing. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (J. Mach. Learn. Res., 2017)

Information Limits for Recovering a Hidden Community. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (IEEE Trans. Inf. Theory, 2017)

Entropy Rate Estimation for Markov Chains with Large State Space. - Yanjun Han; Jiantao Jiao; Chuan-Zheng Lee; Tsachy Weissman; Yihong Wu 001; Tiancheng Yu (NeurIPS, 2018)

Data Amplification: A Unified and Competitive Approach to Property Estimation. - Yi Hao; Alon Orlitsky; Ananda Theertha Suresh; Yihong Wu 001 (NeurIPS, 2018)

Statistical and Computational Limits for Sparse Matrix Detection. - T. Tony Cai; Yihong Wu 001 (CoRR, 2018)

Statistical Problems with Planted Structures: Information-Theoretical and Computational Limits. - Yihong Wu 001; Jiaming Xu 002 (CoRR, 2018)

Application of information-percolation method to reconstruction problems on graphs. - Yury Polyanskiy; Yihong Wu 001 (CoRR, 2018)

Efficient random graph matching via degree profiles. - Jian Ding; Zongming Ma; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2018)

Recovering a hidden community beyond the Kesten-Stigum threshold in O(|E|log*|V|) time. - Bruce E. Hajek; Yihong Wu 001; Jiaming Xu 002 (J. Appl. Probab., 2018)

Strong Data Processing Inequalities for Input Constrained Additive Noise Channels. - Flávio du Pin Calmon; Yury Polyanskiy; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2018)

Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization. - Kiryung Lee; Yihong Wu 001; Yoram Bresler (IEEE Trans. Inf. Theory, 2018)

Equivalence of Additive-Combinatorial Linear Inequalities for Shannon Entropy and Differential Entropy. - Ashok Vardhan Makkuva; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2018)

Dualizing Le Cam's method, with applications to estimating the unseens. - Yury Polyanskiy; Yihong Wu 001 (CoRR, 2019)

Spectral Graph Matching and Regularized Quadratic Relaxations I: The Gaussian Model. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2019)

Spectral Graph Matching and Regularized Quadratic Relaxations II: Erdős-Rényi Graphs and Universality. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (CoRR, 2019)

Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in O(√n) iterations. - Yihong Wu 001; Harrison H. Zhou (CoRR, 2019)

Extrapolating the profile of a finite population. - Soham Jana; Yury Polyanskiy; Yihong Wu 001 (COLT, 2020)

Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (ICML, 2020)

Optimal estimation of high-dimensional Gaussian mixtures. - Natalie Doss; Yihong Wu 001; Pengkun Yang; Harrison H. Zhou (CoRR, 2020)

Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments. - Cheng Mao; Yihong Wu 001 (CoRR, 2020)

Polynomial Methods in Statistical Inference: Theory and Practice. - Yihong Wu 001; Pengkun Yang (Found. Trends Commun. Inf. Theory, 2020)

Hidden Hamiltonian Cycle Recovery via Linear Programming. - Vivek Kumar Bagaria; Jian Ding; David Tse; Yihong Wu 001; Jiaming Xu 002 (Oper. Res., 2020)

Editorial. - Devavrat Shah; Guy Bresler; John C. Duchi; Po-Ling Loh; Yihong Wu 001; Christina Lee Yu (IEEE J. Sel. Areas Inf. Theory, 2020)

The planted matching problem: Sharp threshold and infinite-order phase transition. - Jian Ding; Yihong Wu 001; Jiaming Xu 002; Dana Yang (CoRR, 2021)

The replica-symmetric free energy for Ising spin glasses with orthogonally invariant couplings. - Zhou Fan; Yihong Wu 001 (CoRR, 2021)

Sharp regret bounds for empirical Bayes and compound decision problems. - Yury Polyanskiy; Yihong Wu 001 (CoRR, 2021)

Consistent Recovery Threshold of Hidden Nearest Neighbor Graphs. - Jian Ding; Yihong Wu 001; Jiaming Xu 002; Dana Yang (IEEE Trans. Inf. Theory, 2021)

Random Graph Matching in Geometric Models: the Case of Complete Graphs. - Haoyu Wang; Yihong Wu 001; Jiaming Xu 002; Israel Yolou (COLT, 2022)

Settling the Sharp Reconstruction Thresholds of Random Graph Matching. - Yihong Wu 001; Jiaming Xu 002; Sophie H. Yu (IEEE Trans. Inf. Theory, 2022)

Empirical Bayes via ERM and Rademacher complexities: the Poisson model. - Soham Jana; Yury Polyanskiy; Anzo Z. Teh; Yihong Wu 001 (COLT, 2023)

Entropic characterization of optimal rates for learning Gaussian mixtures. - Zeyu Jia; Yury Polyanskiy; Yihong Wu 001 (COLT, 2023)

Random Graph Matching at Otter's Threshold via Counting Chandeliers. - Cheng Mao; Yihong Wu 001; Jiaming Xu 002; Sophie H. Yu (STOC, 2023)

Optimal Prediction of Markov Chains With and Without Spectral Gap. - Yanjun Han; Soham Jana; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2023)

Spectral Graph Matching and Regularized Quadratic Relaxations I Algorithm and Gaussian Analysis. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (Found. Comput. Math., 2023)

Spectral Graph Matching and Regularized Quadratic Relaxations II. - Zhou Fan; Cheng Mao; Yihong Wu 001; Jiaming Xu 002 (Found. Comput. Math., 2023)

Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes. - Yanjun Han; Tianze Jiang; Yihong Wu 001 (COLT, 2024)

Sharp Information-Theoretic Thresholds for Shuffled Linear Regression. - Leon Lufkin; Yihong Wu 001; Jiaming Xu 002 (ISIT, 2024)

Random Linear Estimation With Rotationally-Invariant Designs: Asymptotics at High Temperature. - Yufan Li; Zhou Fan; Subhabrata Sen; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2024)

On the Best Approximation by Finite Gaussian Mixtures. - Yun Ma 003; Yihong Wu 001; Pengkun Yang (IEEE Trans. Inf. Theory, 2025)