Fei Yan

Orcid: 0000-0001-5177-4493

Affiliations:
  • Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China


According to our database1, Fei Yan authored at least 26 papers between 2013 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Parametric Dynamic Distributed Containment Control of Continuous-Time Linear Multi-Agent Systems with Specified Convergence Speed.
Sensors, March, 2023

What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Lane Detection Model Based on Spatio-Temporal Network With Double Convolutional Gated Recurrent Units.
IEEE Trans. Intell. Transp. Syst., 2022

Neural Network-Based Tracking Control of Uncertain Robotic Systems: Predefined-Time Nonsingular Terminal Sliding-Mode Approach.
IEEE Trans. Ind. Electron., 2022

Fastest containment control of discrete-time multi-agent systems using static linear feedback protocol.
Inf. Sci., 2022

A Robust Vehicle Detection Model Based on Attention and Multi-scale Feature Fusion.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

A Lightweight Network with Lane Feature Enhancement for Multilane Drivable Area Detection.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

TSAN et: Two-subnet Attention Network for Single Image Dehazing.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

TARConvGRU: A Cross-dimension Spatiotemporal Model for Lane Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
A Robust Lane Detection Model Using Vertical Spatial Features and Contextual Driving Information.
Sensors, 2021

Optimal distributed cooperative control for multi-agent systems with constrains on convergence speed and control input.
Neurocomputing, 2021

A Robust Lane Detection Model via Vertical Spatial Convolutions.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

DRSTNet: A Robust Spatio-temporal Network with Dilated Residual Convolutions for Lane Detection.
Proceedings of the 5th International Conference on Vision, Image and Signal Processing, 2021

Driving Video Fixation Prediction Model Via Spatio-Temporal Networks and Attention Gates.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
An efficient fuzzy logic control algorithm for photovoltaic maximum power point tracking under partial shading condition.
J. Frankl. Inst., 2020

Output consensus for heterogeneous multi-agent systems with disturbances.
J. Frankl. Inst., 2020

Lane detection in complex scenes based on end-to-end neural network.
CoRR, 2020

Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs.
CoRR, 2020

2019
Adaptive sliding mode fault-tolerant control for type-2 fuzzy systems with distributed delays.
Inf. Sci., 2019

Adaptive Control of Autonomous Vehicle Platoons.
Proceedings of the 2019 American Control Conference, 2019

2018
A New Approach to Cooperative Output Regulation for Heterogeneous Multi-Agent Systems.
SIAM J. Control. Optim., 2018

Hierarchical Temporal Memory method for time-series-based anomaly detection.
Neurocomputing, 2018

Effectiveness Proving and Control of Platoon-Based Vehicular Cyber-Physical Systems.
IEEE Access, 2018

2016
Full information estimator for output regulation based on internal model principle.
Proceedings of the 2016 American Control Conference, 2016

2014
Distributed urban traffic signal control based on spontaneous synchronization.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
Mathematical proof of effectiveness of platoon-based traffic control at intersections.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013


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