Belief Revision over Infinite Propositional Language. - Hua Meng 001; Yayan Yuan; Jielei Chu; Hongjun Wang 002 (KSEM, 2015)

AGM信念收缩算子的拓扑式刻画 (Topological Characterization of AGM Belief Contraction Operator). - Hua Meng 001; Yayan Yuan; Jielei Chu; Hongjun Wang 002 (计算机科学, 2016)

Relationship among different constructive models of belief revision. - Hua Meng 001; Hailiang Zhao; Jielei Chu (ICCA, 2017)

Self-learning Local Supervision Encoding Framework to Constrict and Disperse Feature Distribution for Clustering. - Jielei Chu; Tianrui Li 001; Hongjun Wang 002; Jing Liu; Hua Meng 001 (CoRR, 2018)

DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering. - Jielei Chu; Hongjun Wang 002; Jing Liu; Zeng Yu 001; Tianrui Li 001 (CoRR, 2019)

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations. - Ji Zhang; Hongjun Wang 002; Jielei Chu; Shudong Huang; Tianrui Li 001; Qigang Zhao (Knowl. Based Syst., 2019)

Restricted Boltzmann Machines With Gaussian Visible Units Guided by Pairwise Constraints. - Jielei Chu; Hongjun Wang 002; Hua Meng 001; Peng Jin; Tianrui Li 001 (IEEE Trans. Cybern., 2019)

Minor Constraint Disturbances for Deep Semi-supervised Learning. - Jielei Chu; Jing Liu; Hongjun Wang 002; Zhiguo Gong; Tianrui Li 001 (CoRR, 2020)

Semi-Supervised Density Peaks Clustering Based on Constraint Projection. - Shan Yan; Hongjun Wang 002; Tianrui Li 001; Jielei Chu; Jin Guo (Int. J. Comput. Intell. Syst., 2021)

Local2Global: Unsupervised multi-view deep graph representation learning with Nearest Neighbor Constraint. - Xiaobo Zhang; Yan Yang 001; Donghai Zhai; Tianrui Li 001; Jielei Chu; Hao Wang 068 (Knowl. Based Syst., 2021)

DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation. - Xuemei Ding; Jielei Chu; Dao Xiang; Tianrui Li 001 (CCIS, 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 001 (CCIS, 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 001 (CCIS, 2022)

Few-shot Learning with Attention Mechanism and Transfer Learning for Import and Export Commodities Classification. - Qing Zhao; Hua Yu; Jielei Chu; Tianrui Li 001 (CCIS, 2022)

Multi-local Collaborative AutoEncoder. - Jielei Chu; Hongjun Wang 002; Jing Liu; Zhiguo Gong; Tianrui Li 001 (Knowl. Based Syst., 2022)

Unsupervised Feature Learning Architecture With Multi-Clustering Integration RBM. - Jielei Chu; Hongjun Wang 002; Jing Liu; Zhiguo Gong; Tianrui Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Deep Unsupervised Representation Learning Architecture using Coefficient of Variation in Hidden Layers. - Xuemei Ding; Jielei Chu; Jiangtao Hu; Hua Yu; Tianrui Li 001 (CCIS, 2023)

Learning Spiking Neural Network from Easy to Hard task. - Lingling Tang; Jiangtao Hu; Hua Yu; Surui Liu; Jielei Chu (CoRR, 2023)

Micro-Supervised Disturbance Learning: A Perspective of Representation Probability Distribution. - Jielei Chu; Jing Liu; Hongjun Wang 002; Hua Meng 001; Zhiguo Gong; Tianrui Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Dynamic Backtracking in GFlowNets: Enhancing Decision Steps with Reward-Dependent Adjustment Mechanisms. - Shuai Guo; Jielei Chu; Lei Zhu; Zhaoyu Li; Tianrui Li 001 (CoRR, 2024)

Adaptive Paradigm Synergy: Can a Cross-Paradigm Objective Enhance Long-Tailed Learning? - Haowen Xiao; Guanghui Liu; Xinyi Gao 005; Yang Li; Fengmao Lv; Jielei Chu (CoRR, 2024)

Self-supervised Gaussian Restricted Boltzmann Machine via joint contrastive representation and contrastive divergence. - Xinlei Wang; Jielei Chu; Hua Yu; Zhiguo Gong; Tianrui Li 001 (Knowl. Based Syst., 2024)

Adaptive federated class-Incremental learning for reducing catastrophic forgetting. - Zhiyan You; Jielei Chu; Zhaoyu Li; Bin Liu 076; Tianrui Li 001 (Expert Syst. Appl., 2025)

Accelerating Federated Learning with genetic algorithm enhancements. - Huanqing Zheng; Jielei Chu; Zhaoyu Li; Jinghao Ji; Tianrui Li 001 (Expert Syst. Appl., 2025)

FedLGMatch: Federated semi-supervised learning via joint local and global pseudo labeling. - Qing Zhao; Jielei Chu; Zhaoyu Li; Wei Huang 037; Zhipeng Luo; Tianrui Li 001 (Knowl. Based Syst., 2025)

Adaptive Multi-Scale Language Reinforcement for Multimodal Named Entity Recognition. - Enping Li; Tianrui Li 001; Huaishao Luo; Jielei Chu; Lixin Duan; Fengmao Lv (IEEE Trans. Multim., 2025)

Variational Bayesian Personalized Ranking. - Bin Liu 076; Xiaohong Liu 001; Qin Luo; Ziqiao Shang; Jielei Chu; Lin Ma; Zhaoyu Li; Fei Teng 001; Guangtao Zhai; Tianrui Li 001 (CoRR, 2025)

Cross-modal Causal Intervention for Alzheimer's Disease Prediction. - Yutao Jin; Haowen Xiao; Jielei Chu; Fengmao Lv; Yuxiao Li; Tianrui Li 001 (CoRR, 2025)