Ziling Wu

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

Collaborative distances:

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

2023

An adaptive multi-modal hybrid model for classifying thyroid nodules by combining ultrasound and infrared thermal images.

Na Zhang, Juan Liu, Yu Jin, Wensi Duan, Ziling Wu, Zhaohui Cai, Meng Wu

BMC Bioinform., December, 2023

Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset.

Ziling Wu, Armaghan Moemeni, Simon Castle-Green, Praminda Caleb-Solly

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.

Iksung Kang, Ziling Wu, Yi Jiang, Yudong Yao, Junjing Deng, Jeffrey Klug, Stefan Vogt, George Barbastathis

CoRR, 2022

AMD-DBSCAN: An Adaptive Multi-density DBSCAN for datasets of extremely variable density.

Ziqing Wang, Zhirong Ye, Yuyang Du, Yi Mao, Yanying Liu, Ziling Wu, Jun Wang

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.

Lele Li, Ziling Wu, Juan Liu, Lang Wang, Yu Jin, Peng Jiang, Jing Feng, Meng Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Data-driven X-ray Tomographic Imaging and Applications to 4D Material Characterization.

Ziling Wu

PhD thesis, 2021

2020

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

Ziling Wu, Ping Liu, Zheng Hu, Jun Wang

CoRR, 2020

Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements.

Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster

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.

Ziling Wu, Ping Liu, Zheng Hu, Bocheng Li, Jun Wang

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.

Ziling Wu, Abdulaziz Alorf, Ting Yang, Ling Li, Yunhui Zhu

CoRR, 2019

2017

A New Image Sparse Reconstruction Method for Mixed Gaussian-Poisson Noise with Multiple Constraints.

Ziling Wu, Hongxia Gao, Yongfei Chen, Hui Kang

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016

An Improved Self-adaptive Regularization Method for Mixed Multiplicative and Additive Noise Reduction.

Ziling Wu, Hongxia Gao, Ge Ma, Lixuan Wu

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

A Dual Adaptive Regularization Method to Remove Mixed Gaussian-Poisson Noise.

Ziling Wu, Hongxia Gao, Ge Ma, Yanying Wan

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016