Jing Yang

Affiliations:
  • Xi'an Jiaotong University, Institute of Control Engineering, China (PhD 2010)


According to our database1, Jing Yang authored at least 17 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
An Uncertainty-Aware and Sex-Prior Guided Biological Age Estimation From Orthopantomogram Images.
IEEE J. Biomed. Health Informatics, October, 2023

Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map.
IEEE Trans. Image Process., 2023

Color-Difference Correntropy Guided Convolution Network for Point Cloud Semantic Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Region-aware network: Model human's Top-Down visual perception mechanism for crowd counting.
Neural Networks, 2022

2021
A generic FPGA-based hardware architecture for recursive least mean p-power extreme learning machine.
Neurocomputing, 2021

A Feature-Cascaded Correntropy LSTM for Tourists Prediction.
IEEE Access, 2021

2020
A Method for Wafer Defect Detection Using Spatial Feature Points Guided Affine Iterative Closest Point Algorithm.
IEEE Access, 2020

CF-LSTM: Cascaded Feature-Based Long Short-Term Networks for Predicting Pedestrian Trajectory.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Sparse Recursive Least Mean p-Power Extreme Learning Machine for Regression.
IEEE Access, 2018

An Incremental Self-Learning Algorithm with Robustness against Impulsive Noise.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017
Recursive least mean p-power Extreme Learning Machine.
Neural Networks, 2017

Self-evolving kernel recursive least squares algorithm for control and prediction.
Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016
Adaptive backstepping control for magnetic bearing system via feedforward networks with random hidden nodes.
Neurocomputing, 2016

Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Kernel adaptive filtering under generalized Maximum Correntropy Criterion.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Aircraft sensor failure diagnosis using self-organizing fuzzy systems.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015


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