Jihong Wan

According to our database, Jihong Wan authored at least 30 papers between 2018 and 2024.

Collaborative distances:

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

2024

Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space.

Tengyu Yin, Hongmei Chen, Jihong Wan, Pengfei Zhang, Shi-Jinn Horng, Tianrui Li

Inf. Fusion, April, 2024

Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach.

Min Li, Guoyin Wang, Zeng Yu, Hongjun Wang, Jihong Wan, Tianrui Li

Int. J. Mach. Learn. Cybern., February, 2024

Multimodal federated learning: Concept, methods, applications and future directions.

Wei Huang, Dexian Wang, Xiaocao Ouyang, Jihong Wan, Jia Liu, Tianrui Li

Inf. Fusion, 2024

Multi-Correlation Collaborative Computation for Featrue Selection with Uncertainty Measures.

Jihong Wan, Xiaoping Li, Hongmei Chen

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2023

A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction.

Tengyu Yin, Hongmei Chen, Zhong Yuan, Jihong Wan, Keyu Liu, Shi-Jinn Horng, Tianrui Li

IEEE Trans. Fuzzy Syst., December, 2023

High-order interaction feature selection for classification learning: A robust knowledge metric perspective.

Jihong Wan, Hongmei Chen, Tianrui Li, Min Li, Xiaoling Yang

Pattern Recognit., November, 2023

Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction.

Xiaocao Ouyang, Yan Yang, Yiling Zhang, Wei Zhou, Jihong Wan, Shengdong Du

Knowl. Based Syst., October, 2023

Fuzzy rough dimensionality reduction: A feature set partition-based approach.

Zhihong Wang, Hongmei Chen, Xiaoling Yang, Jihong Wan, Tianrui Li, Chuan Luo

Inf. Sci., October, 2023

Multiscale Fuzzy Entropy-Based Feature Selection.

Zhihong Wang, Hongmei Chen, Zhong Yuan, Jihong Wan, Tianrui Li

IEEE Trans. Fuzzy Syst., September, 2023

Multi-view latent structure learning with rank recovery.

Jun He, Hongmei Chen, Tianrui Li, Jihong Wan

Appl. Intell., May, 2023

FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework.

Wei Huang, Jia Liu, Tianrui Li, Tianqiang Huang, Shenggong Ji, Jihong Wan

IEEE Trans. Knowl. Data Eng., April, 2023

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space.

Jihong Wan, Hongmei Chen, Tianrui Li, Binbin Sang, Zhong Yuan

IEEE Trans. Fuzzy Syst., 2023

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures.

Jihong Wan, Hongmei Chen, Tianrui Li, Zhong Yuan, Jia Liu, Wei Huang

IEEE Trans. Cybern., 2023

Gaussian Function Representation of 2nd-Order Normal Cloud Model.

Min Li, Guoyin Wang, Zeng Yu, Hongjun Wang, Jihong Wan, Tianrui Li

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

2022

A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information.

Zhong Yuan, Hongmei Chen, Pengfei Zhang, Jihong Wan, Tianrui Li

IEEE Trans. Fuzzy Syst., 2022

Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification.

Binbin Sang, Hongmei Chen, Lei Yang, Jihong Wan, Tianrui Li, Weihua Xu

IEEE Trans. Fuzzy Syst., 2022

R2CI: Information theoretic-guided feature selection with multiple correlations.

Jihong Wan, Hongmei Chen, Tianrui Li, Wei Huang, Min Li, Chuan Luo

Pattern Recognit., 2022

Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification.

Binbin Sang, Hongmei Chen, Jihong Wan, Lei Yang, Tianrui Li, Weihua Xu, Chuan Luo

Knowl. Based Syst., 2022

Unsupervised feature selection via self-paced learning and low-redundant regularization.

Weiyi Li, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang

Knowl. Based Syst., 2022

Semi-supervised feature selection via adaptive structure learning and constrained graph learning.

Jingliu Lai, Hongmei Chen, Weiyi Li, Tianrui Li, Jihong Wan

Knowl. Based Syst., 2022

Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization.

Congying Zeng, Hongmei Chen, Tianrui Li, Jihong Wan

Neurocomputing, 2022

Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection.

Hao Chen, Hongmei Chen, Weiyi Li, Tianrui Li, Chuan Luo, Jihong Wan

Neurocomputing, 2022

2021

Neighborhood rough sets with distance metric learning for feature selection.

Xiaoling Yang, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang

Knowl. Based Syst., 2021

A novel hybrid feature selection method considering feature interaction in neighborhood rough set.

Jihong Wan, Hongmei Chen, Zhong Yuan, Tianrui Li, Xiaoling Yang, Binbin Sang

Knowl. Based Syst., 2021

Dynamic interaction feature selection based on fuzzy rough set.

Jihong Wan, Hongmei Chen, Tianrui Li, Xiaoling Yang, Binbin Sang

Inf. Sci., 2021

Semi-supervised feature selection with minimal redundancy based on local adaptive.

Xinping Wu, Hongmei Chen, Tianrui Li, Jihong Wan

Appl. Intell., 2021

2020

A novel quantum grasshopper optimization algorithm for feature selection.

Dong Wang, Hongmei Chen, Tianrui Li, Jihong Wan, Yanyong Huang

Int. J. Approx. Reason., 2020

2019

Information propagation model based on hybrid social factors of opportunity, trust and motivation.

Jihong Wan, Xiaoliang Chen, Yajun Du, Mengmeng Jia

Neurocomputing, 2019

2018

Evolutionary Prediction of Information Propagation Dynamics Based on Time Series Characteristics.

Jihong Wan, Xiaoliang Chen, Yajun Du, Mengmeng Jia

Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

Information Diffusion Model Based on Opportunity, Trust and Motivation.

Jihong Wan, Xiaoliang Chen, Yajun Du, Mengmeng Jia

Proceedings of the Information Retrieval - 24th China Conference, 2018