Wenxuan Zou

According to our database, Wenxuan Zou authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Graph Flow: Cross-Layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation.

Wenxuan Zou, Xingqun Qi, Wanting Zhou, Muyi Sun, Zhenan Sun, Caifeng Shan

IEEE Trans. Medical Imaging, April, 2023

Introduction to dynamical mean-field theory of generic random neural networks.

Wenxuan Zou, Haiping Huang

CoRR, 2023

A Distributed Control Support Strategy for Risk Mitigation in Product Supply Chain Networks with Twofold Causes.

En-Zhi Cao, Chen Peng, Yu-Long Wang, Wenxuan Zou

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022

Statistical mechanics of continual learning: variational principle and mean-field potential.

Chan Li, Zhenye Huang, Wenxuan Zou, Haiping Huang

CoRR, 2022

Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation.

Wenxuan Zou, Muyi Sun

CoRR, 2022

2021

CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation.

Wenxuan Zou, Muyi Sun

CoRR, 2021

Ensemble perspective for understanding temporal credit assignment.

Wenxuan Zou, Chan Li, Haiping Huang

CoRR, 2021

CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation.

Wenxuan Zou, Xingqun Qi, Zhuojie Wu, Zijian Wang, Muyi Sun, Caifeng Shan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation.

Zhuojie Wu, Zijian Wang, Wenxuan Zou, Fan Ji, Hao Dang, Wanting Zhou, Muyi Sun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Data-driven effective model shows a liquid-like deep learning.

Wenxuan Zou, Haiping Huang

CoRR, 2020