Yihong Wu

Yale University — United States

Mathematics · Physical Sciences

34h-index4.5kcitations177works6.72yr avg
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Research Topics

Statistical Methods and Inference(35), Sparse and Compressive Sensing Techniques(35), Bayesian Methods and Mixture Models(34), Markov Chains and Monte Carlo Methods(30), Machine Learning and Algorithms(25)

Publications177 total

Optimal empirical Bayes estimation for the Poisson model via minimum-distance methods
Information and Inference A Journal of the IMA·2025
Numerical simulation of the effects of particle density and size on particle distribution in a laboratory-scale curved open-channel flow
Advances in Water Resources·2025
Random Graph Matching at Otter’s Threshold via Counting Chandeliers
Operations Research·2025
On the Best Approximation by Finite Gaussian Mixtures
IEEE Transactions on Information Theory·2025
Redundant Trees in Bipartite Graphs
Mathematics·2025· 1 citedOpen Access
The broken sample problem revisited: Proof of a conjecture by Bai-Hsing and high-dimensional extensions
arXiv (Cornell University)·2025Open Access
The cardiac electrophysiology-inspired patches for repairing myocardial infarction: A review
Smart Materials in Medicine·2025· 5 citedOpen Access
Information Theory
Cambridge University Press eBooks·2024· 54 cited
Improving Distributed Network Resilience with Energy Storage: An Optimal Planning Strategy Based on Subjective and Objective Weight Method
Distributed Generation & Alternative Energy Journal·2024Open Access
Testing network correlation efficiently via counting trees
The Annals of Statistics·2024· 8 cited
Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
2024· 15 citedOpen Access
Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search
arXiv (Cornell University)·2024· 2 citedOpen Access
On the best approximation by finite Gaussian mixtures
arXiv (Cornell University)·2024Open Access
Exploring the Best Practices of Query Expansion with Large Language Models
arXiv (Cornell University)·2024Open Access
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
arXiv (Cornell University)·2024· 14 citedOpen Access
Gradient flows for empirical Bayes in high-dimensional linear models
arXiv (Cornell University)·2023· 2 citedOpen Access
Random Linear Estimation With Rotationally-Invariant Designs: Asymptotics at High Temperature
IEEE Transactions on Information Theory·2023· 7 cited
Testing correlation of unlabeled random graphs
The Annals of Applied Probability·2023· 20 cited
Empirical Bayes via ERM and Rademacher complexities: the Poisson model
arXiv (Cornell University)·2023· 1 citedOpen Access
On the best approximation by finite Gaussian mixtures
2023· 1 cited
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Frequent Co-authors

Jiaming Xu(16), Sergio Verdú(11), Bruce Hajek(7), Zongming Ma(6), Yury Polyanskiy(5), Tommaso Cai(4), Pengkun Yang(4), Cheng Mao(4), Shlomo Shamai(3), Sophie H. Yu(3), Zhou Fan(3), Kai Yang(2), Jian Ding(2), Dongning Guo(1), Alon Orlitsky(1), Ananda Theertha Suresh(1), Jing Huang(1), Xin Wang(1), Maxim Raginsky(1), Alexander Rakhlin(1)