Jielei Chu

32 papers A* 1C 1Journal 24Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Carbon emission, footprint and pricing prediction using machine learning: A survey.
Appl. Intell.
Zhaoyu Li, Huanqing Zheng, Xinyi Fan, Zhiyan You, Jiangtao Hu, Yi Xie, Jielei Chu, Tianrui Li
2026 J jnl
Causally Sufficient and Necessary Feature Expansion for Class-Incremental Learning.
CoRR
Zhen Zhang, Jielei Chu, Tianrui Li
2025 J jnl
Accelerating Federated Learning with genetic algorithm enhancements.
Expert Syst. Appl.
Huanqing Zheng, Jielei Chu, Zhaoyu Li, Jinghao Ji, Tianrui Li
2025 J jnl
Adaptive Multi-Scale Language Reinforcement for Multimodal Named Entity Recognition.
IEEE Trans. Multim.
Enping Li, Tianrui Li, Huaishao Luo, Jielei Chu, Lixin Duan, Fengmao Lv
2025 J jnl
Adaptive federated class-Incremental learning for reducing catastrophic forgetting.
Expert Syst. Appl.
Zhiyan You, Jielei Chu, Zhaoyu Li, Bin Liu, Tianrui Li
2025 J jnl
Cross-modal Causal Intervention for Alzheimer's Disease Prediction.
CoRR
Yutao Jin, Haowen Xiao, Jielei Chu, Fengmao Lv, Yuxiao Li, Tianrui Li
2025 J jnl
FedLGMatch: Federated semi-supervised learning via joint local and global pseudo labeling.
Knowl. Based Syst.
Qing Zhao, Jielei Chu, Zhaoyu Li, Wei Huang, Zhipeng Luo, Tianrui Li
2025 J jnl
Variational Bayesian Personalized Ranking.
CoRR
Bin Liu, Xiaohong Liu, Qin Luo, Ziqiao Shang, Jielei Chu, Lin Ma, Zhaoyu Li, Fei Teng, Guangtao Zhai, Tianrui Li
2024 J jnl
Adaptive Paradigm Synergy: Can a Cross-Paradigm Objective Enhance Long-Tailed Learning?
CoRR
Haowen Xiao, Guanghui Liu, Xinyi Gao, Yang Li, Fengmao Lv, Jielei Chu
2024 J jnl
Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms.
CoRR
Shuai Guo, Jielei Chu, Lei Zhu, Zhaoyu Li, Tianrui Li
2024 J jnl
Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence.
Knowl. Based Syst.
Xinlei Wang, Jielei Chu, Hua Yu, Zhiguo Gong, Tianrui Li
2023 — conf
A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers.
CCIS
Xuemei Ding, Jielei Chu, Jiangtao Hu, Hua Yu, Tianrui Li
2023 J jnl
Learning Spiking Neural Network from Easy to Hard task.
CoRR
Lingling Tang, Jiangtao Hu, Hua Yu, Surui Liu, Jielei Chu
2023 J jnl
Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution.
IEEE Trans. Pattern Anal. Mach. Intell.
Jielei Chu, Jing Liu, Hongjun Wang, Hua Meng, Zhiguo Gong, Tianrui Li
2023 A* conf
Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM.
ICDE
Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li
2022 — conf
AM-DenseNet:A Novel DenseNet Framework using Attention Mechanisms for COVID-19 CT Image Classification.
CCIS
Yujiao Shi, Tunan Zhou, Zeqing You, Jielei Chu, Tianrui Li
2022 — conf
DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation.
CCIS
Xuemei Ding, Jielei Chu, Dao Xiang, Tianrui Li
2022 — conf
Few-shot Learning with Attention Mechanism and Transfer Learning for Import and Export Commodities Classification.
CCIS
Qing Zhao, Hua Yu, Jielei Chu, Tianrui Li
2022 J jnl
Multi-local Collaborative AutoEncoder.
Knowl. Based Syst.
Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li
2022 J jnl
Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM.
IEEE Trans. Knowl. Data Eng.
Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li
2022 — conf
VQ-ViCNet: Strengthen Unique Features Comparison Autoencoder with Embedding Space for Covid-19 Image Classification.
CCIS
Qide Liu, Jielei Chu, Hua Yu, Xinlei Wang, Tianrui Li
2021 J jnl
Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint.
Knowl. Based Syst.
Xiaobo Zhang, Yan Yang, Donghai Zhai, Tianrui Li, Jielei Chu, Hao Wang
2021 J jnl
Semi-Supervised Density Peaks Clustering Based on Constraint Projection.
Int. J. Comput. Intell. Syst.
Shan Yan, Hongjun Wang, Tianrui Li, Jielei Chu, Jin Guo
2020 J jnl
Minor Constraint Disturbances for Deep Semi-supervised Learning.
CoRR
Jielei Chu, Jing Liu, Hongjun Wang, Zhiguo Gong, Tianrui Li
2019 J jnl
DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering.
CoRR
Jielei Chu, Hongjun Wang, Jing Liu, Zeng Yu, Tianrui Li
2019 J jnl
Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations.
Knowl. Based Syst.
Ji Zhang, Hongjun Wang, Jielei Chu, Shudong Huang, Tianrui Li, Qigang Zhao
2019 J jnl
Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints.
IEEE Trans. Cybern.
Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, Tianrui Li
2018 J jnl
Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering.
CoRR
Jielei Chu, Tianrui Li, Hongjun Wang, Jing Liu, Hua Meng
2017 — conf
Relationship among different constructive models of belief revision.
ICCA
Hua Meng, Hailiang Zhao, Jielei Chu
2017 J jnl
Restricted Boltzmann Machines with Gaussian Visible Units Guided by Pairwise Constraints.
CoRR
Jielei Chu, Hongjun Wang, Hua Meng, Peng Jin, Tianrui Li
2016 J jnl
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
Hua Meng, Yayan Yuan, Jielei Chu, Hongjun Wang
2015 C conf
Belief Revision over Infinite Propositional Language.
KSEM
Hua Meng, Yayan Yuan, Jielei Chu, Hongjun Wang