Chun-Yang Zhang

Orcid: 0000-0001-6151-7028

According to our database1, Chun-Yang Zhang authored at least 26 papers between 2014 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
A new robust contrastive learning for unsupervised person re-identification.
Int. J. Mach. Learn. Cybern., May, 2024

Fuzzy Representation Learning on Dynamic Graphs.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Sparse Graph Transformer With Contrastive Learning.
IEEE Trans. Comput. Soc. Syst., February, 2024

2023
Fuzzy Representation Learning on Graph.
IEEE Trans. Fuzzy Syst., October, 2023

Dynamic Representation Learning via Recurrent Graph Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Graph Representation Learning With Adaptive Metric.
IEEE Trans. Netw. Sci. Eng., 2023

A Probabilistic Contrastive Framework for Semi-Supervised Learning.
IEEE Trans. Multim., 2023

STS-DGNN: Vehicle Trajectory Prediction via Dynamic Graph Neural Network With Spatial-Temporal Synchronization.
IEEE Trans. Instrum. Meas., 2023

2022
3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions.
IEEE Trans. Cybern., 2022

2021
Random clustering forest for extended belief rule-based system.
Soft Comput., 2021

Graph Representation Learning via Contrasting Cluster Assignments.
CoRR, 2021

Contrastive Learning Framework by Maximizing Mutual Information for Visual Question Answering.
Proceedings of the 2021 International Conference on Security, 2021

A New Memory Based on Sequence to Sequence Model for Video Captioning.
Proceedings of the 2021 International Conference on Security, 2021

Contrastive Graph Representation Learning via Maximizing Mutual Information.
Proceedings of the 2021 International Conference on Security, 2021

2020
A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification.
IEEE Trans. Fuzzy Syst., 2020

Graph deconvolutional networks.
Inf. Sci., 2020

2019
Extraversion Measure for Crowd Trajectories.
IEEE Trans. Ind. Informatics, 2019

Deep compression of probabilistic graphical networks.
Pattern Recognit., 2019

2017
A flexible and robust train operation model based on expert knowledge and online adjustment.
Int. J. Wavelets Multiresolution Inf. Process., 2017

2016
Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series.
Int. J. Syst. Sci., 2016

MapReduce based distributed learning algorithm for Restricted Boltzmann Machine.
Neurocomputing, 2016

Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive.
Adv. Eng. Informatics, 2016

A Self-Organizing State Space Type Microstructure Model for Financial Asset Allocation.
IEEE Access, 2016

2015
Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning.
IEEE Trans. Fuzzy Syst., 2015

2014
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data.
Inf. Sci., 2014

An automatic setting for training restricted boltzmann machine.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014


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