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Jielei Chu
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2020 – today
- 2024
- [j9]Xinlei Wang, Jielei Chu
, Hua Yu, Zhiguo Gong, Tianrui Li
Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence. Knowl. Based Syst. 299: 112121 (2024) - [i7]Shuai Guo, Jielei Chu, Lei Zhu, Zhaoyu Li, Tianrui Li:
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms. CoRR abs/2404.05576 (2024) - [i6]Haowen Xiao, Guanghui Liu, Xinyi Gao, Yang Li, Fengmao Lv, Jielei Chu:
Adaptive Paradigm Synergy: Can a Cross-Paradigm Objective Enhance Long-Tailed Learning? CoRR abs/2410.22883 (2024) - 2023
- [j8]Jielei Chu
Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7542-7558 (2023) - [c8]Xuemei Ding, Jielei Chu
A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers. CCIS 2023: 182-186 - [c7]Jielei Chu
Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM. ICDE 2023: 3811-3812 - [i5]Lingling Tang, Jiangtao Hu, Hua Yu, Surui Liu, Jielei Chu:
Learning Spiking Neural Network from Easy to Hard task. CoRR abs/2309.04737 (2023) - 2022
- [j7]Jielei Chu
Multi-local Collaborative AutoEncoder. Knowl. Based Syst. 239: 107844 (2022) - [j6]Jielei Chu
Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM. IEEE Trans. Knowl. Data Eng. 34(6): 3002-3015 (2022) - [c6]Xuemei Ding, Jielei Chu
DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation. CCIS 2022: 119-124 - [c5]Qing Zhao, Hua Yu, Jielei Chu
Few-shot Learning with Attention Mechanism and Transfer Learning for Import and Export Commodities Classification. CCIS 2022: 125-130 - [c4]Qide Liu, Jielei Chu
VQ-ViCNet: Strengthen Unique Features Comparison Autoencoder with Embedding Space for Covid-19 Image Classification. CCIS 2022: 464-468 - [c3]Yujiao Shi, Tunan Zhou, Zeqing You, Jielei Chu
AM-DenseNet:A Novel DenseNet Framework using Attention Mechanisms for COVID-19 CT Image Classification. CCIS 2022: 474-479 - 2021
- [j5]Shan Yan, Hongjun Wang, Tianrui Li
Semi-Supervised Density Peaks Clustering Based on Constraint Projection. Int. J. Comput. Intell. Syst. 14(1): 140-147 (2021) - [j4]Xiaobo Zhang
Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint. Knowl. Based Syst. 231: 107439 (2021) - 2020
- [i4]Jielei Chu, Jing Liu, Hongjun Wang, Zhiguo Gong, Tianrui Li:
Minor Constraint Disturbances for Deep Semi-supervised Learning. CoRR abs/2003.06321 (2020)
2010 – 2019
- 2019
- [j3]Ji Zhang, Hongjun Wang, Jielei Chu
Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations. Knowl. Based Syst. 185 (2019) - [j2]Jielei Chu
Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints. IEEE Trans. Cybern. 49(12): 4321-4334 (2019) - [i3]Jielei Chu, Hongjun Wang, Jing Liu, Zeng Yu, Tianrui Li:
DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering. CoRR abs/1906.05173 (2019) - 2018
- [i2]Jielei Chu, Tianrui Li, Hongjun Wang, Jing Liu, Hua Meng:
Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering. CoRR abs/1812.01967 (2018) - 2017
- [c2]Hua Meng
Relationship among different constructive models of belief revision. ICCA 2017: 999-1003 - [i1]Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, Tianrui Li:
Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints. CoRR abs/1701.03647 (2017) - 2016
- [j1]Hua Meng, Yayan Yuan, Jielei Chu, Hongjun Wang:
AGM信念收缩算子的拓扑式刻画 (Topological Characterization of AGM Belief Contraction Operator). 计算机科学 43(9): 87-90 (2016) - 2015
- [c1]Hua Meng
Belief Revision over Infinite Propositional Language. KSEM 2015: 844-854
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