Fengling Jiang

Orcid: 0000-0003-4588-4287

According to our database1, Fengling Jiang authored at least 13 papers between 2012 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Novel Cognitively Inspired Deep Learning Approach to Detect Drivable Areas for Self-driving Cars.
Cogn. Comput., March, 2024

TEGAN: Transformer Embedded Generative Adversarial Network for Underwater Image Enhancement.
Cogn. Comput., January, 2024

A real-time lane detection network using two-directional separation attention.
Comput. Aided Civ. Infrastructure Eng., January, 2024

2023
Steel surface defect detection based on self-supervised contrastive representation learning with matching metric.
Appl. Soft Comput., September, 2023

DNet-CNet: a novel cascaded deep network for real-time lane detection and classification.
J. Ambient Intell. Humaniz. Comput., 2023

2021
Lane-DeepLab: Lane semantic segmentation in automatic driving scenarios for high-definition maps.
Neurocomputing, 2021

Real-Time Lane Detection by Using Biologically Inspired Attention Mechanism to Learn Contextual Information.
Cogn. Comput., 2021

Robust Visual Saliency Optimization Based on Bidirectional Markov Chains.
Cogn. Comput., 2021

2020
A hybrid Persian sentiment analysis framework: Integrating dependency grammar based rules and deep neural networks.
Neurocomputing, 2020

2019
A Survey on Deep Learning for the Routing Layer of Computer Network.
Proceedings of the UK/China Emerging Technologies, 2019

2018
Saliency Detection via Bidirectional Absorbing Markov Chain.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2012
Synchronization for a Class of Fractional-Order Hyperchaotic System and Its Application.
J. Appl. Math., 2012

Adaptive fuzzy based three-loop composite control of subway auxiliary inverter.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012


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