Zhongyue Zhang

Orcid: 0000-0002-1617-5150

According to our database1, Zhongyue Zhang authored at least 20 papers between 2013 and 2024.

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

2024
Improving Semantic Segmentation via Efficient Self-Training.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023
A Family of High Gain Converters Based on Switched Inductor and Switched Capacitor Units.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022
A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring.
Sensors, 2022

Cancer survival prognosis with Deep Bayesian Perturbation Cox Network.
Comput. Biol. Medicine, 2022

A Multi-constraint Deep Semi-supervised Learning Method for Ovarian Cancer Prognosis Prediction.
Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

ResNeSt: Split-Attention Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Predicting bladder cancer prognosis by integrating multi-omics data through a transfer learning-based Cox proportional hazards network.
CCF Trans. High Perform. Comput., 2021

Integrating multi-omics data through deep learning for accurate cancer prognosis prediction.
Comput. Biol. Medicine, 2021

Multi-omics Cancer Prognosis Analysis Based on Graph Convolution Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
J. Mach. Learn. Res., 2020

Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks.
J. Chem. Inf. Model., 2020

Improving Semantic Segmentation via Self-Training.
CoRR, 2020

2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
CoRR, 2019

Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks.
CoRR, 2019

Bag of Freebies for Training Object Detection Neural Networks.
CoRR, 2019

Bag of Tricks for Image Classification with Convolutional Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Context Encoding for Semantic Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016
Megaman: Scalable Manifold Learning in Python.
J. Mach. Learn. Res., 2016

megaman: Manifold Learning with Millions of points.
CoRR, 2016

2013
Identifying Interest Flooding in Named Data Networking.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013


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