Qiyang Han

Tongji Hospital — China

Mathematics · Physical Sciences

10h-index384citations66works0.52yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Statistical Methods and Inference(42), Statistical Methods and Bayesian Inference(20), Advanced Statistical Methods and Models(13), Sparse and Compressive Sensing Techniques(11), Bayesian Methods and Mixture Models(6)

Publications66 total

Thompson sampling: Precise arm-pull dynamics and adaptive inference
arXiv (Cornell University)·2026Open Access
Thompson sampling: Precise arm-pull dynamics and adaptive inference
ArXiv.org·2026Open Access
Chimeric antigen receptor T‑cell therapy in chronic viral infections: a review
Journal of Translational Medicine·2026Open Access
Long-time dynamics and universality of nonconvex gradient descent
arXiv (Cornell University)·2025Open Access
A leave-one-out approach to approximate message passing
The Annals of Applied Probability·2025· 2 cited
Precise gradient descent training dynamics for finite-width multi-layer neural networks
arXiv (Cornell University)·2025Open Access
A novel approach for rapid quantification and length distribution of microfibers released during domestic laundry
Journal of Hazardous Materials·2025· 2 cited
Gradient descent inference in empirical risk minimization
arXiv (Cornell University)·2024Open Access
UCB algorithms for multi-armed bandits: Precise regret and adaptive inference
arXiv (Cornell University)·2024· 1 citedOpen Access
Prediction of Organs Toxicity during CAR T-Cell Therapy By Using Cell-Free DNA Markers
Blood·2024Open Access
Generalized kernel distance covariance in high dimensions: non-null CLTs and power universality
Information and Inference A Journal of the IMA·2024Open Access
Entrywise dynamics and universality of general first order methods
arXiv (Cornell University)·2024· 1 citedOpen Access
A leave-one-out approach to approximate message passing
arXiv (Cornell University)·2023Open Access
Contiguity under high-dimensional Gaussianity with applications to covariance testing
The Annals of Applied Probability·2023· 2 cited
Universality of regularized regression estimators in high dimensions
The Annals of Statistics·2023· 11 cited
Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions
The Annals of Statistics·2023· 4 cited
The distribution of Ridgeless least squares interpolators
arXiv (Cornell University)·2023· 2 citedOpen Access
Gaussian random projections of convex cones: approximate kinematic formulae and applications
arXiv (Cornell University)·2022· 2 citedOpen Access
Exact bounds for some quadratic empirical processes with applications
arXiv (Cornell University)·2022Open Access
Universality of regularized regression estimators in high dimensions
arXiv (Cornell University)·2022· 1 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

Jon A. Wellner(9), Yandi Shen(9), Richard J. Samworth(4), Cun‐Hui Zhang(4), Hang Deng(3), Bodhisattva Sen(3), Amin Jalali(3), Ioana Dumitriu(3), Maryam Fazel(3), Xiaocong Xu(3), Tiefeng Jiang(3), Tengyao Wang(2), Sabyasachi Chatterjee(2), Fang Han(2), Oliver Y. Feng(2), Yining Chen(2), Raymond J. Carroll(2), Zhigang Bao(2), Kengo Kato(1), Cun-Hui Zhang(1)