Fengling Jiang

According to our database, Fengling Jiang authored at least 16 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PAFPT: Progressive aggregator with feature prompted transformer for underwater image enhancement.

Jing Yang, Shanbing Zhu, Hui Liang, Shumin Bai, Fengling Jiang, Amir Hussain

Expert Syst. Appl., 2025

2024

Application of 3D Image Technology in Rural Planning.

Yejun Cao, Xiwen Yu, Fengling Jiang

ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2024

A Novel Cognitively Inspired Deep Learning Approach to Detect Drivable Areas for Self-driving Cars.

Fengling Jiang, Zeling Wang, Guoqing Yue

Cogn. Comput., March, 2024

TEGAN: Transformer Embedded Generative Adversarial Network for Underwater Image Enhancement.

Zhi Gao, Jing Yang, Lu Zhang, Fengling Jiang, Xixiang Jiao

Cogn. Comput., January, 2024

A real-time lane detection network using two-directional separation attention.

Lu Zhang, Fengling Jiang, Jing Yang, Bin Kong, Amir Hussain

Comput. Aided Civ. Infrastructure Eng., January, 2024

DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement.

Zhi Gao, Jing Yang, Fengling Jiang, Xixiang Jiao, Kia Dashtipour, Mandar Gogate, Amir Hussain

Knowl. Based Syst., 2024

2023

Steel surface defect detection based on self-supervised contrastive representation learning with matching metric.

Xuejin Hu, Jing Yang, Fengling Jiang, Amir Hussain, Kia Dashtipour, Mandar Gogate

Appl. Soft Comput., September, 2023

DNet-CNet: a novel cascaded deep network for real-time lane detection and classification.

Lu Zhang, Fengling Jiang, Jing Yang, Bin Kong, Amir Hussain, Mandar Gogate, Kia Dashtipour

J. Ambient Intell. Humaniz. Comput., 2023

2021

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

Jingyu Li, Fengling Jiang, Jing Yang, Bin Kong, Mandar Gogate, Kia Dashtipour, Amir Hussain

Neurocomputing, 2021

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

Lu Zhang, Fengling Jiang, Bin Kong, Jing Yang, Can Wang

Cogn. Comput., 2021

Robust Visual Saliency Optimization Based on Bidirectional Markov Chains.

Fengling Jiang, Bin Kong, Jingpeng Li, Kia Dashtipour, Mandar Gogate

Cogn. Comput., 2021

2020

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

Kia Dashtipour, Mandar Gogate, Jingpeng Li, Fengling Jiang, Bin Kong, Amir Hussain

Neurocomputing, 2020

2019

A Survey on Deep Learning for the Routing Layer of Computer Network.

Fengling Jiang, Kia Dashtipour, Amir Hussain

Proceedings of the UK/China Emerging Technologies, 2019

2018

Saliency Detection via Bidirectional Absorbing Markov Chain.

Fengling Jiang, Bin Kong, Ahsan Adeel, Yun Xiao, Amir Hussain

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2012

Synchronization for a Class of Fractional-Order Hyperchaotic System and Its Application.

Wen Tan, Fengling Jiang, Chuangxia Huang, Lan Zhou

J. Appl. Math., 2012

Adaptive fuzzy based three-loop composite control of subway auxiliary inverter.

Wen Tan, Feng Wu, Xiaoding Guo, Lan Zhou, Zongchang Yang, Mu Li, Fengling Jiang

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012