1 citations · 1 across the 4 of their papers we have counts for
4 papers
Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization
Xuelin Zhang, Hong Chen, Bin Gu +2
Stochastic bilevel optimization (SBO) has been integrated into many machine learning paradigms recently, including hyperparameter optimization, meta learning, and reinforcement lea…
Error-based Knockoffs Inference for Controlled Feature Selection
Xuebin Zhao, Hong Chen, Yingjie Wang +4
Recently, the scheme of model-X knockoffs was proposed as a promising solution to address controlled feature selection under high-dimensional finite-sample settings. However, the p…
A Personalized Diagnostic Generation Framework Based on Multi-source Heterogeneous Data
Jialun Wu, Zeyu Gao, Haichuan Zhang +4
Personalized diagnoses have not been possible due to sear amount of data pathologists have to bear during the day-to-day routine. This lead to the current generalized standards tha…
W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image
Anyu Mao, Jialun Wu, Xinrui Bao +3
Pathological diagnosis is the gold standard for cancer diagnosis, but it is labor-intensive, in which tasks such as cell detection, classification, and counting are particularly pr…