Ziling Wu

According to our database1, Ziling Wu authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images.
BMC Bioinform., December, 2023

Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time.
CoRR, 2022

AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Data-driven X-ray Tomographic Imaging and Applications to 4D Material Characterization.
PhD thesis, 2021

2020
CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution.
CoRR, 2020

Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution.
Proceedings of the ESSE 2020: 2020 European Symposium on Software Engineering, 2020

2019
Robust X-ray Sparse-view Phase Tomography via Hierarchical Synthesis Convolutional Neural Networks.
CoRR, 2019

2017
A New Image Sparse Reconstruction Method for Mixed Gaussian-Poisson Noise with Multiple Constraints.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
An Improved Self-adaptive Regularization Method for Mixed Multiplicative and Additive Noise Reduction.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

A Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noise.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016


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