Wenxuan Zou

Orcid: 0009-0001-2847-9186

According to our database1, Wenxuan Zou authored at least 26 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Phase-Lag-Based MPS/MPI Dual-Mode Precise In Vivo Temperature Imaging Technique.
IEEE Trans. Medical Imaging, June, 2026

Free Energy Universality in Tensor Estimation via Generic Chaining.
CoRR, May, 2026

Multimodal structure-guided diffusion model for Magnetic Particle Imaging reconstruction.
Medical Image Anal., 2026

SAMF-Net: Low-Concentration MPI Reconstruction with Segmentation-Assisted Attention and Multi-Harmonic Fusion.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Bias-Field Rotation Encoding: Toward a Large-Aperture Magnetic Particle Imaging System.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Deliver-MPI: Diffusion Embedded-Physics Model for Magnetic Particle Imaging Reconstruction under Strong Liver Background.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
Operational Dynamics in Uncertain Supply Chain Networks: A Fuzzy-Based Risk Mitigation Strategy.
IEEE Trans. Comput. Soc. Syst., October, 2025

U-N2C: A Dual Memory-Guided Disentanglement Framework for Unsupervised System Matrix Denoising in Magnetic Particle Imaging.
IEEE Trans. Image Process., 2025

Prediction-based decomposition optimisation for multi-portfolio supply chain resilience strategies under disruption risks.
Int. J. Prod. Res., 2025

2024
Person re-identification via deep compound eye network and pose repair module.
IET Comput. Vis., September, 2024

Exploring Generalizable Distillation for Efficient Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, July, 2024

Building Resilience in Supply Chains: A Knowledge Graph-Based Risk Management Framework.
IEEE Trans. Comput. Soc. Syst., June, 2024

An Automated Framework for Histopathological Nucleus Segmentation With Deep Attention Integrated Networks.
IEEE Trans. Comput. Biol. Bioinform., 2024

Contrmix: Progressive Mixed Contrastive Learning for Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Knowledge-Driven Cross-Period Network for Clothes Changing Re-ID.
Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

BAMG: Text-Based Person Re-identification via Bottlenecks Attention and Masked Graph Modeling.
Proceedings of the Computer Vision - ACCV 2024, 2024

2023
Graph Flow: Cross-Layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation.
IEEE Trans. Medical Imaging, April, 2023

Introduction to dynamical mean-field theory of generic random neural networks.
CoRR, 2023

A Distributed Control Support Strategy for Risk Mitigation in Product Supply Chain Networks with Twofold Causes.
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.
CoRR, 2022

Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation.
CoRR, 2022

2021
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation.
CoRR, 2021

Ensemble perspective for understanding temporal credit assignment.
CoRR, 2021

CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Data-driven effective model shows a liquid-like deep learning.
CoRR, 2020


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