activity
20192025
most citedA Model of Double Descent for High-dimensional Binary Linear Classification

19 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

CD-DPE: Dual-Prompt Expert Network Based on Convolutional Dictionary Feature Decoupling for Multi-Contrast MRI Super-Resolution

Xianming Gu, Lihui Wang, Ying Cao +4

Multi-contrast magnetic resonance imaging (MRI) super-resolution intends to reconstruct high-resolution (HR) images from low-resolution (LR) scans by leveraging structural informat…

cs.CV2023★ 3 cited

AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention

Xianming Gu, Lihui Wang, Zeyu Deng +3

Multi-modal medical image fusion is essential for the precise clinical diagnosis and surgical navigation since it can merge the complementary information in multi-modalities into a…

eess.IV2019

CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging

Zeyu Deng, Lihui Wang, Zixiang Kuai +5

In vivo diffusion tensor imaging (DTI) is a promising technique to investigate noninvasively the fiber structures of the in vivo human heart. However, signal loss due to motions re…

stat.ML2019★ 19 cited

A Model of Double Descent for High-dimensional Binary Linear Classification

Zeyu Deng, Abla Kammoun, Christos Thrampoulidis

We consider a model for logistic regression where only a subset of features of size is used for training a linear classifier over training samples. The classifier is obtain…

cs.LG2019★ 16 cited

Glioma Grade Prediction Using Wavelet Scattering-Based Radiomics

Qijian Chen, Lihui Wang, Li Wang +3

Glioma grading before surgery is very critical for the prognosis prediction and treatment plan making. We present a novel wavelet scattering-based radiomic method to predict noninv…