Mingyang Jiang

Orcid: 0000-0002-1127-4838

According to our database1, Mingyang Jiang authored at least 15 papers between 2010 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

On csauthors.net:

Bibliography

2023
Analyzing Peak-to-Average Power Ratio Characteristics in Multi-Channel Intensity Modulation and Direct Detection Flexible Transceivers Deploying Inverse Fast Fourier Transform/Fast Fourier Transform-Based Processing.
Sensors, December, 2023

Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making.
CoRR, 2023

2021
An Improved Stacked Autoencoder for Metabolomic Data Classification.
Comput. Intell. Neurosci., 2021

2019
A collaborative filtering recommendation algorithm based on information theory and bi-clustering.
Neural Comput. Appl., 2019

Vehicle Travel Time Estimation by Sparse Trajectories.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Text classification based on deep belief network and softmax regression.
Neural Comput. Appl., 2018

PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation.
CoRR, 2018

Chinese News Text Classification of the Stacked Denoising Auto Encoder Based on Adaptive Learning Rate and Additional Momentum Item.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Research on text feature clustering based on improved parallel genetic algorithm.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
Feature selection method based on multiple centrifuge models.
Clust. Comput., 2017

Text Classification Based on ReLU Activation Function of SAE Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2011
Robust low-rank subspace recovery and face image denoising for face recognition.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Learning from error: A two-level combined model for image classification.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework.
Proceedings of the Computer Vision - ACCV 2010, 2010

Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach.
Proceedings of the Computer Vision - ACCV 2010, 2010


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