Zhongliang Wei

Orcid: 0000-0002-3451-1402

According to our database1, Zhongliang Wei authored at least 14 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Building Fake Review Detection Model Based on Sentiment Intensity and PU Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Clarity Method of Low-illumination and Dusty Coal Mine Images Based on Improved Amef.
Informatica (Slovenia), 2023

RCRE: radical-aware causal relationship extraction model oriented the medical field.
Int. J. Comput. Sci. Eng., 2023

2022
Sentiment classification of Chinese Weibo based on extended sentiment dictionary and organisational structure of comments.
Connect. Sci., 2022

Participatory Design of External HMI Based on Explicit Human-Vehicle Interaction Features.
Proceedings of the Design Studies and Intelligence Engineering, 2022

2020
Multisource Domain Attribute Adaptation Based on Adaptive Multikernel Alignment Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Adaptive Quantized Estimation Fusion Using Strong Tracking Filtering and Variational Bayesian.
IEEE Trans. Syst. Man Cybern. Syst., 2020

An image fusion dehazing algorithm based on dark channel prior and retinex.
Int. J. Comput. Sci. Eng., 2020

A Discovery Method for New Words From Mobile Product Comments.
Comput. Syst. Sci. Eng., 2020

2019
Lightness-aware contrast enhancement for images with different illumination conditions.
Multim. Tools Appl., 2019

2018
Unsupervised image segmentation via Stacked Denoising Auto-encoder and hierarchical patch indexing.
Signal Process., 2018

Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary.
Future Gener. Comput. Syst., 2018

2017
Flexible Fusion Structure-Based Performance Optimization Learning for Multisensor Target Tracking.
Sensors, 2017

Remote Sensing Image Scene Classification Using Bag of Convolutional Features.
IEEE Geosci. Remote. Sens. Lett., 2017


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