I am a fourth-year PhD student in mathematics at Yale University, fortuantely advised by Prof. Yihong Wu. Prior to Yale, I was at the Courant Institute of Mathematical Sciences and mentored by Prof. Paul Bourgade.

Email: haoyu [dot] wang [at] yale [dot] edu

Research Interests

• Probability
• High-dimensional statistics

I am particularly interested in random matrix theory and its applications.

Publications

• Quantitative Universality for the Largest Eigenvalue of Sample Covariance Matrices
  Haoyu Wang
  To appear in Annals of Applied Probability, 2022+
• Random Graph Matching in Geometric Models: the Case of Complete Graphs
  Haoyu Wang, Yihong Wu, Jiaming Xu, Israel Yolou
  Conference on Learning Theory (COLT), 2022
• Consensus on Dynamic Stochastic Block Models: Fast Convergence and Phase Transitions
  Haoyu Wang, Jiaheng Wei, Zhenyuan Zhang
  In submission, 2022+
• Optimal Smoothed Analysis and Quantitative Universality for the Smallest Singular Value of Random Matrices
  Haoyu Wang
  In submission, 2022+
• Resampling Sensitivity of High-Dimensional PCA
  Haoyu Wang
  In submission, 2023+
• A note on maximal operators for the Schrodinger equationon T1
  Yuqiu Fu, Kevin Ren, Haoyu Wang
  In submission, 2023+