Yiping Lu

Peking University — China

Physics and Astronomy · Physical Sciences

12h-index1.3kcitations56works0.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

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

Research Topics

Model Reduction and Neural Networks(9), Manufacturing Process and Optimization(8), Advanced Neural Network Applications(5), Neural Networks and Applications(5), Image and Signal Denoising Methods(5)

Publications56 total

Development of a predictive model for Ki-67 index of meningiomas by integrating deep-learning, radiomics and clinical features utilizing fully automated segmentation results
Computer Methods and Programs in Biomedicine·2025
End-to-end deep learning for superoscillatory subtraction imaging
ArXiv.org·2025Open Access
Inhibition of SERT and NMDAR synergistically confers rapid antidepressant effects of ketamine
National Science Review·2025Open Access
Understanding How Caregiver Burnout Leads to Elder Abuse in Nursing Homes: New Research Directions
Journal of Clinical Nursing·2025
Benign overfitting in Fixed Dimension via Physics-Informed Learning with Smooth Inductive Bias
arXiv (Cornell University)·2024Open Access
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
arXiv (Cornell University)·2024Open Access
Generalization of Scaled Deep ResNets in the Mean-Field Regime
arXiv (Cornell University)·2024Open Access
$\widetilde{O}(N^2)$ Representation of General Continuous Anti-symmetric Function
arXiv (Cornell University)·2024· 1 citedOpen Access
A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images
Computers in Biology and Medicine·2022· 12 cited
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
arXiv (Cornell University)·2021· 11 citedOpen Access
An Unconstrained Layer-Peeled Perspective on Neural Collapse
arXiv (Cornell University)·2021· 11 citedOpen Access
Statistical Numerical PDE : Fast Rate, Neural Scaling Law and When it’s Optimal
2021
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
International Conference on Machine Learning·2020· 14 cited
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth
arXiv (Cornell University)·2020· 26 citedOpen Access
Predicting Recovery Rates using Machine Learning Algorithms: the Relative Usefulness of Alternative Methods
Scholarship @ Claremont (The Claremont Colleges)·2020
CURE: Curvature Regularization for Missing Data Recovery
SIAM Journal on Imaging Sciences·2020· 12 cited
Distillation $\approx$ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network
arXiv (Cornell University)·2019· 27 citedOpen Access
PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network
Journal of Computational Physics·2019· 528 citedOpen Access
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
International Conference on Learning Representations·2019· 6 cited
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View
arXiv (Cornell University)·2019· 115 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Bin Dong(6), Jianzhong Cha(6), Bin Dong(5), Lexing Ying(4), Jianfeng Lu(3), Zichao Long(2), Aoxiao Zhong(2), Quanzheng Li(2), Zhuohan Li(2), Zhiqing Sun(2), Tao Qin(2), Liwei Wang(2), Dinghuai Zhang(2), Zhanxing Zhu(2), Yulong Lu(2), Xiaoshuai Zhang(2), Jiaying Liu(2), Bin Dong(2), Xin Ma(2), Yajing Zhao(2)