Nana Yu

Orcid: 0000-0001-5316-6838

According to our database1, Nana Yu authored at least 16 papers between 2016 and 2025.

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

Timeline

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Links

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Bibliography

2025
Progressive expansion for semi-supervised bi-modal salient object detection.
Pattern Recognit., 2025

2024
Depth-Assisted Semi-Supervised RGB-D Rail Surface Defect Inspection.
IEEE Trans. Intell. Transp. Syst., July, 2024

Joint Correcting and Refinement for Balanced Low-Light Image Enhancement.
IEEE Trans. Multim., 2024

Degradation-removed multiscale fusion for low-light salient object detection.
Pattern Recognit., 2024

Untangling a Web of Temporal Relations in News Articles.
Proceedings of Text2Story, 2024

Overview of the CLEF-2024 CheckThat! Lab Task 3 on Persuasion Techniques.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023
FLA-Net: multi-stage modular network for low-light image enhancement.
Vis. Comput., April, 2023

Joint Correcting and Refinement for Balanced Low-Light Image Enhancement.
CoRR, 2023

2022
Decolorization algorithm based on contrast pyramid transform fusion.
Multim. Tools Appl., 2022

Attention based dual path fusion networks for multi-focus image.
Multim. Tools Appl., 2022

Detail enhancement decolorization algorithm based on rolling guided filtering.
Multim. Tools Appl., 2022

LBP-based progressive feature aggregation network for low-light image enhancement.
IET Image Process., 2022

2021
Multi-load AGVs scheduling algorithm in automated sorting warehouse.
Proceedings of the 14th International Symposium on Computational Intelligence and Design, 2021

2019
Using Dictionary Pair Learning for Seizure Detection.
Int. J. Neural Syst., 2019

2016
User Attributes Clustering-Based Collaborative Filtering Recommendation Algorithm and Its Parallelization on Spark.
Proceedings of the Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 2016

Collaborative Filtering Recommendation Algorithm Based on Matrix Factorization and User Nearest Neighbors.
Proceedings of the Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 2016


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