Jielei Chu

According to our database, Jielei Chu authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

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

Shuai Guo, Jielei Chu, Lei Zhu, Zhaoyu Li, Tianrui Li

CoRR, 2024

2023

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

Jielei Chu, Jing Liu, Hongjun Wang, Hua Meng, Zhiguo Gong, Tianrui Li

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

Learning Spiking Neural Network from Easy to Hard task.

Lingling Tang, Jiangtao Hu, Hua Yu, Surui Liu, Jielei Chu

CoRR, 2023

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

Xuemei Ding, Jielei Chu, Jiangtao Hu, Hua Yu, Tianrui Li

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

2022

Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM.

Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li

IEEE Trans. Knowl. Data Eng., 2022

Multi-local Collaborative AutoEncoder.

Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li

Knowl. Based Syst., 2022

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

Qing Zhao, Hua Yu, Jielei Chu, Tianrui Li

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.

Yujiao Shi, Tunan Zhou, Zeqing You, Jielei Chu, Tianrui Li

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.

Qide Liu, Jielei Chu, Hua Yu, XinLei Wang, Tianrui Li

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.

Xuemei Ding, Jielei Chu, Dao Xiang, Tianrui Li

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.

Xiaobo Zhang, Yan Yang, Donghai Zhai, Tianrui Li, Jielei Chu, Hao Wang

Knowl. Based Syst., 2021

Semi-Supervised Density Peaks Clustering Based on Constraint Projection.

Shan Yan, Hongjun Wang, Tianrui Li, Jielei Chu, Jin Guo

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

2020

Minor Constraint Disturbances for Deep Semi-supervised Learning.

Jielei Chu, Jing Liu, Hongjun Wang, Zhiguo Gong, Tianrui Li

CoRR, 2020

2019

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

Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, Tianrui Li

IEEE Trans. Cybern., 2019

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

Ji Zhang, Hongjun Wang, Jielei Chu, Shudong Huang, Tianrui Li, Qigang Zhao

Knowl. Based Syst., 2019

DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering.

Jielei Chu, Hongjun Wang, Jing Liu, Zeng Yu, Tianrui Li

CoRR, 2019

2018

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

Jielei Chu, Tianrui Li, Hongjun Wang, Jing Liu, Hua Meng

CoRR, 2018

2017

Relationship among different constructive models of belief revision.

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).

Hua Meng, Yayan Yuan, Jielei Chu, Hongjun Wang

计算机科学, 2016

2015

Belief Revision over Infinite Propositional Language.

Hua Meng, Yayan Yuan, Jielei Chu, Hongjun Wang

Proceedings of the Knowledge Science, Engineering and Management, 2015