Yuzhu Ji

Orcid: 0000-0003-3589-3884

Affiliations:
  • Harbin Institute of Technology, China


According to our database1, Yuzhu Ji authored at least 28 papers between 2015 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation.
Health Inf. Sci. Syst., December, 2023

Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
LGCNet: A local-to-global context-aware feature augmentation network for salient object detection.
Inf. Sci., 2022

Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection.
IEEE Trans. Neural Networks Learn. Syst., 2021

ID-Net: an improved mask R-CNN model for intrusion detection under power grid surveillance.
Neural Comput. Appl., 2021

CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances.
Inf. Sci., 2021

An empirical study of multi-scale object detection in high resolution UAV images.
Neurocomputing, 2021

EWNet: An early warning classification framework for smart grid based on local-to-global perception.
Neurocomputing, 2021

2020
Toward New Retail: A Benchmark Dataset for Smart Unmanned Vending Machines.
IEEE Trans. Ind. Informatics, 2020

Crowd counting by using multi-level density-based spatial information: A Multi-scale CNN framework.
Inf. Sci., 2020

Clothescounter: A framework for star-oriented clothes mining from videos.
Neurocomputing, 2020

2019
Sitcom-star-based clothing retrieval for video advertising: a deep learning framework.
Neural Comput. Appl., 2019

Toward AI fashion design: An Attribute-GAN model for clothing match.
Neurocomputing, 2019

Graph model-based salient object detection using objectness and multiple saliency cues.
Neurocomputing, 2019

Learning-based Object Detection in High Resolution UAV Images: An Empirical Study.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Deep Learning-based Beverage Recognition for Unmanned Vending Machines: An Empirical Study.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018
Salient object detection via multi-scale attention CNN.
Neurocomputing, 2018

Saliency detection via conditional adversarial image-to-image network.
Neurocomputing, 2018

Sitcom-Stars Oriented Video Advertising via Clothing Retrieval.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Understanding Subtitles by Character-Level Sequence-to-Sequence Learning.
IEEE Trans. Ind. Informatics, 2017

2016
A Triple Wing Harmonium Model for Movie Recommendation.
IEEE Trans. Ind. Informatics, 2016

A character-level sequence-to-sequence method for subtitle learning.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Classifying vehicles with convolutional neural network and feature encoding.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Distributed diffusion nonnegative LMS algorithm over sensor networks.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

2015
Content-based movie recommending using a Triple Wing Harmonium model.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015


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