Chun-Yang Zhang

According to our database, Chun-Yang Zhang authored at least 29 papers between 2014 and 2024.

Collaborative distances:

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

2024

Fuzzy Neural Network for Representation Learning on Uncertain Graphs.

Yue-Na Lin, Hai-Chun Cai, Chun-Yang Zhang, Hong-Yu Yao, C. L. Philip Chen

IEEE Trans. Fuzzy Syst., September, 2024

Multiple Views to Free Graph Augmentations.

Yue-Na Lin, Hai-Chun Cai, Chun-Yang Zhang, C. L. Philip Chen

IEEE Trans. Comput. Soc. Syst., June, 2024

Graph Representation Learning via Contrasting Cluster Assignments.

Chun-Yang Zhang, Hong-Yu Yao, C. L. Philip Chen, Yue-Na Lin

IEEE Trans. Cogn. Dev. Syst., June, 2024

A new robust contrastive learning for unsupervised person re-identification.

Huibin Lin, Hai-Tao Fu, Chun-Yang Zhang, C. L. Philip Chen

Int. J. Mach. Learn. Cybern., May, 2024

Fuzzy Representation Learning on Dynamic Graphs.

Hong-Yu Yao, Yuanlong Yu, Chun-Yang Zhang, Yue-Na Lin, Shang-Jia Li

IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Sparse Graph Transformer With Contrastive Learning.

Chun-Yang Zhang, Wu-Peng Fang, Hai-Chun Cai, C. L. Philip Chen, Yue-Na Lin

IEEE Trans. Comput. Soc. Syst., February, 2024

A recurrent graph neural network for inductive representation learning on dynamic graphs.

Hong-Yu Yao, Chun-Yang Zhang, Zhiliang Yao, C. L. Philip Chen, Junfeng Hu

Pattern Recognit., 2024

2023

Fuzzy Representation Learning on Graph.

Chun-Yang Zhang, Yue-Na Lin, C. L. Philip Chen, Hong-Yu Yao, Hai-Chun Cai, Wu-Peng Fang

IEEE Trans. Fuzzy Syst., October, 2023

Dynamic Representation Learning via Recurrent Graph Neural Networks.

Chun-Yang Zhang, Zhiliang Yao, Hong-Yu Yao, Feng Huang, C. L. Philip Chen

IEEE Trans. Syst. Man Cybern. Syst., 2023

Graph Representation Learning With Adaptive Metric.

Chun-Yang Zhang, Hai-Chun Cai, C. L. Philip Chen, Yue-Na Lin, Wu-Peng Fang

IEEE Trans. Netw. Sci. Eng., 2023

A Probabilistic Contrastive Framework for Semi-Supervised Learning.

Huibin Lin, Chun-Yang Zhang, Shiping Wang, Wenzhong Guo

IEEE Trans. Multim., 2023

STS-DGNN: Vehicle Trajectory Prediction via Dynamic Graph Neural Network With Spatial-Temporal Synchronization.

Feng-Jie Li, Chun-Yang Zhang, C. L. Philip Chen

IEEE Trans. Instrum. Meas., 2023

2022

3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions.

Chun-Yang Zhang, Yong-Yi Xiao, Jin-Cheng Lin, C. L. Philip Chen, Wenxi Liu, Yu-Hong Tong

IEEE Trans. Cybern., 2022

2021

Random clustering forest for extended belief rule-based system.

Nannan Chen, Xiao-Ting Gong, Ying-Ming Wang, Chun-Yang Zhang, Yang-Geng Fu

Soft Comput., 2021

Contrastive Learning Framework by Maximizing Mutual Information for Visual Question Answering.

Rong Lin, Chun-Yang Zhang

Proceedings of the 2021 International Conference on Security, 2021

A New Memory Based on Sequence to Sequence Model for Video Captioning.

Jin-Cheng Lin, Chun-Yang Zhang

Proceedings of the 2021 International Conference on Security, 2021

Contrastive Graph Representation Learning via Maximizing Mutual Information.

Yuqi Hu, Chun-Yang Zhang

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.

Shuang Feng, C. L. Philip Chen, Chun-Yang Zhang

IEEE Trans. Fuzzy Syst., 2020

Graph deconvolutional networks.

Chun-Yang Zhang, Junfeng Hu, Lin Yang, C. L. Philip Chen, Zhiliang Yao

Inf. Sci., 2020

2019

Extraversion Measure for Crowd Trajectories.

Wenxi Liu, Chun-Yang Zhang, Genggeng Liu, Yaru Su, Neil N. Xiong

IEEE Trans. Ind. Informatics, 2019

Deep compression of probabilistic graphical networks.

Chun-Yang Zhang, Qi Zhao, C. L. Philip Chen, Wenxi Liu

Pattern Recognit., 2019

2017

A flexible and robust train operation model based on expert knowledge and online adjustment.

Chun-Yang Zhang, Dewang Chen, Jiateng Yin, Long Chen

Int. J. Wavelets Multiresolution Inf. Process., 2017

2016

Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series.

Min Gan, C. L. Philip Chen, Long Chen, Chun-Yang Zhang

Int. J. Syst. Sci., 2016

MapReduce based distributed learning algorithm for Restricted Boltzmann Machine.

Chun-Yang Zhang, C. L. Philip Chen, Dewang Chen, Kin Tek Ng

Neurocomputing, 2016

Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive.

Chun-Yang Zhang, Dewang Chen, Jiateng Yin, Long Chen

Adv. Eng. Informatics, 2016

A Self-Organizing State Space Type Microstructure Model for Financial Asset Allocation.

Min Gan, Long Chen, Chun-Yang Zhang, Hui Peng

IEEE Access, 2016

2015

Fuzzy Restricted Boltzmann Machine for the Enhancement of Deep Learning.

C. L. Philip Chen, Chun-Yang Zhang, Long Chen, Min Gan

IEEE Trans. Fuzzy Syst., 2015

2014

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

C. L. Philip Chen, Chun-Yang Zhang

Inf. Sci., 2014

An automatic setting for training restricted boltzmann machine.

Chun-Yang Zhang, C. L. Philip Chen

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014