Jielei Chu

Orcid: 0000-0001-6232-5095

According to our database¹, Jielei Chu authored at least 22 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Adaptive Paradigm Synergy: Can a Cross-Paradigm Objective Enhance Long-Tailed Learning?

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Learning Spiking Neural Network from Easy to Hard task.

[BibT_eX]

[DOI]

CoRR, 2023

A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022

Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Multi-local Collaborative AutoEncoder.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Few-shot Learning with Attention Mechanism and Transfer Learning for Import and Export Commodities Classification.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

AM-DenseNet:A Novel DenseNet Framework using Attention Mechanisms for COVID-19 CT Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

VQ-ViCNet: Strengthen Unique Features Comparison Autoencoder with Embedding Space for Covid-19 Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021

Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Semi-Supervised Density Peaks Clustering Based on Constraint Projection.

[BibT_eX]

[DOI]

Int. J. Comput. Intell. Syst., 2021

2020

Minor Constraint Disturbances for Deep Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Relationship among different constructive models of belief revision.

[BibT_eX]

[DOI]

Hua Meng

Hailiang Zhao

Jielei Chu

Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2016

AGM信念收缩算子的拓扑式刻画 (Topological Characterization of AGM Belief Contraction Operator).

[BibT_eX]

[DOI]

计算机科学, 2016

2015

Belief Revision over Infinite Propositional Language.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2015

Jielei Chu

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