Jihong Wan

42 papers Misc 1Journal 38Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A twin-branch decoupled network for multi-class unsupervised anomaly detection.
Eng. Appl. Artif. Intell.
Bohan Wang, Jihong Wan, Jie Zhao, Xiaocao Ouyang, Xiaoping Li
2026 J jnl
Fast and robust outlier detection: A granular-ball center isolation and region consistency approach.
Pattern Recognit.
Rongxiang Wang, Jihong Wan, Xiaoping Li, Shuaishuai Tan
2026 J jnl
FasterGCN: Accelerating and enhancing graph convolutional network for recommendation.
Knowl. Based Syst.
Jiaxin Wu, Chenglong Pang, Guangxiong Chen, Jie Zhao, Jihong Wan
2026 J jnl
Joint uncertainty model and metric for robust feature selection: A bi-level distribution consideration and feature evaluation approach.
Fuzzy Sets Syst.
Jihong Wan, Xiaoping Li, Jie Zhao, Min Li, Zhixuan Deng, Hongmei Chen
2025 J jnl
Adaptive feature selection with weighted fuzzy rough sets for noisy data.
Fuzzy Sets Syst.
Xiaoling Yang, Hongmei Chen, Tianrui Li, Shan Feng, Jihong Wan, Yiyu Yao
2025 J jnl
FFS-MCC: Fusing approximation and fuzzy uncertainty measures for feature selection with multi-correlation collaboration.
Inf. Fusion
Jihong Wan, Xiaoping Li, Pengfei Zhang, Hongmei Chen, Xiaocao Ouyang, Tianrui Li, Kay Chen Tan
2025 J jnl
Feature selection based on fuzzy joint entropy and feature interaction for label distribution learning.
Inf. Process. Manag.
Dayong Deng, Jie Xu, Zhixuan Deng, Jihong Wan, Deyou Xia, Zhenxin Cao, Tianrui Li
2025 J jnl
Heterogeneous feature selection with group structure mining in fuzzy decision systems for medical diagnosis.
Appl. Soft Comput.
Jihong Wan, Hongmei Chen, Li Xiao, Chuangpeng Shen, Wei Huang, Xiaoping Li
2025 J jnl
Leveraging Fuzzy Manifold Intra-Class Correlation and Inter-Class Separability for Online Multilabel Streaming Features Analysis.
IEEE Trans. Multim.
Tengyu Yin, Hongmei Chen, Jihong Wan, Keyu Liu, Zhong Yuan, Chuan Luo, Shi-Jinn Horng, Tianrui Li
2025 J jnl
Rational linear kernelized weighted fuzzy rough attribute selection with class separability.
Fuzzy Sets Syst.
Yue Yang, Jihong Wan, Xiaoping Li, Xiaoling Yang, Hongmei Chen, Kay Chen Tan, Chris Cornelis
2025 J jnl
Rethinking information fusion: Achieving adaptive information throughput and interaction pattern in graph convolutional networks for collaborative filtering.
Inf. Fusion
Jiaxin Wu, Chenglong Pang, Guangxiong Chen, Jihong Wan, Xiaocao Ouyang, Jie Zhao
2024 J jnl
Exploiting feature multi-correlations for multilabel feature selection in robust multi-neighborhood fuzzy β covering space.
Inf. Fusion
Tengyu Yin, Hongmei Chen, Jihong Wan, Pengfei Zhang, Shi-Jinn Horng, Tianrui Li
2024 J jnl
Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach.
Int. J. Mach. Learn. Cybern.
Min Li, Guoyin Wang, Zeng Yu, Hongjun Wang, Jihong Wan, Tianrui Li
2024 — conf
Multi-Correlation Collaborative Computation for Featrue Selection with Uncertainty Measures.
ACM TUR-C
Jihong Wan, Xiaoping Li, Hongmei Chen
2024 J jnl
Multimodal federated learning: Concept, methods, applications and future directions.
Inf. Fusion
Wei Huang, Dexian Wang, Xiaocao Ouyang, Jihong Wan, Jia Liu, Tianrui Li
2023 J jnl
A Robust Multilabel Feature Selection Approach Based on Graph Structure Considering Fuzzy Dependency and Feature Interaction.
IEEE Trans. Fuzzy Syst.
Tengyu Yin, Hongmei Chen, Zhong Yuan, Jihong Wan, Keyu Liu, Shi-Jinn Horng, Tianrui Li
2023 J jnl
Domain adversarial graph neural network with cross-city graph structure learning for traffic prediction.
Knowl. Based Syst.
Xiaocao Ouyang, Yan Yang, Yiling Zhang, Wei Zhou, Jihong Wan, Shengdong Du
2023 J jnl
Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space.
IEEE Trans. Fuzzy Syst.
Jihong Wan, Hongmei Chen, Tianrui Li, Binbin Sang, Zhong Yuan
2023 J jnl
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework.
IEEE Trans. Knowl. Data Eng.
Wei Huang, Jia Liu, Tianrui Li, Tianqiang Huang, Shenggong Ji, Jihong Wan
2023 J jnl
Fuzzy rough dimensionality reduction: A feature set partition-based approach.
Inf. Sci.
Zhihong Wang, Hongmei Chen, Xiaoling Yang, Jihong Wan, Tianrui Li, Chuan Luo
2023 Misc conf
Gaussian Function Representation of 2nd-Order Normal Cloud Model.
ISKE
Min Li, Guoyin Wang, Zeng Yu, Hongjun Wang, Jihong Wan, Tianrui Li
2023 J jnl
High-order interaction feature selection for classification learning: A robust knowledge metric perspective.
Pattern Recognit.
Jihong Wan, Hongmei Chen, Tianrui Li, Min Li, Xiaoling Yang
2023 J jnl
Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures.
IEEE Trans. Cybern.
Jihong Wan, Hongmei Chen, Tianrui Li, Zhong Yuan, Jia Liu, Wei Huang
2023 J jnl
Multi-view latent structure learning with rank recovery.
Appl. Intell.
Jun He, Hongmei Chen, Tianrui Li, Jihong Wan
2023 J jnl
Multiscale Fuzzy Entropy-Based Feature Selection.
IEEE Trans. Fuzzy Syst.
Zhihong Wang, Hongmei Chen, Zhong Yuan, Jihong Wan, Tianrui Li
2022 J jnl
A Novel Unsupervised Approach to Heterogeneous Feature Selection Based on Fuzzy Mutual Information.
IEEE Trans. Fuzzy Syst.
Zhong Yuan, Hongmei Chen, Pengfei Zhang, Jihong Wan, Tianrui Li
2022 J jnl
Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification.
IEEE Trans. Fuzzy Syst.
Binbin Sang, Hongmei Chen, Lei Yang, Jihong Wan, Tianrui Li, Weihua Xu
2022 J jnl
R2CI: Information theoretic-guided feature selection with multiple correlations.
Pattern Recognit.
Jihong Wan, Hongmei Chen, Tianrui Li, Wei Huang, Min Li, Chuan Luo
2022 J jnl
Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection.
Neurocomputing
Hao Chen, Hongmei Chen, Weiyi Li, Tianrui Li, Chuan Luo, Jihong Wan
2022 J jnl
Robust unsupervised feature selection via sparse and minimum-redundant subspace learning with dual regularization.
Neurocomputing
Congying Zeng, Hongmei Chen, Tianrui Li, Jihong Wan
2022 J jnl
Self-adaptive weighted interaction feature selection based on robust fuzzy dominance rough sets for monotonic classification.
Knowl. Based Syst.
Binbin Sang, Hongmei Chen, Jihong Wan, Lei Yang, Tianrui Li, Weihua Xu, Chuan Luo
2022 J jnl
Semi-supervised feature selection via adaptive structure learning and constrained graph learning.
Knowl. Based Syst.
Jingliu Lai, Hongmei Chen, Weiyi Li, Tianrui Li, Jihong Wan
2022 J jnl
Unsupervised feature selection via self-paced learning and low-redundant regularization.
Knowl. Based Syst.
Weiyi Li, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang
2021 J jnl
A novel hybrid feature selection method considering feature interaction in neighborhood rough set.
Knowl. Based Syst.
Jihong Wan, Hongmei Chen, Zhong Yuan, Tianrui Li, Xiaoling Yang, Binbin Sang
2021 J jnl
Dynamic interaction feature selection based on fuzzy rough set.
Inf. Sci.
Jihong Wan, Hongmei Chen, Tianrui Li, Xiaoling Yang, Binbin Sang
2021 J jnl
Neighborhood rough sets with distance metric learning for feature selection.
Knowl. Based Syst.
Xiaoling Yang, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang
2021 J jnl
Semi-supervised feature selection with minimal redundancy based on local adaptive.
Appl. Intell.
Xinping Wu, Hongmei Chen, Tianrui Li, Jihong Wan
2021 J jnl
Unsupervised feature selection via self-paced learning and low-redundant regularization.
CoRR
Weiyi Li, Hongmei Chen, Tianrui Li, Jihong Wan, Binbin Sang
2020 J jnl
A novel quantum grasshopper optimization algorithm for feature selection.
Int. J. Approx. Reason.
Dong Wang, Hongmei Chen, Tianrui Li, Jihong Wan, Yanyong Huang
2019 J jnl
Information propagation model based on hybrid social factors of opportunity, trust and motivation.
Neurocomputing
Jihong Wan, Xiaoliang Chen, Yajun Du, Mengmeng Jia
2018 — conf
Evolutionary Prediction of Information Propagation Dynamics Based on Time Series Characteristics.
CCIS
Jihong Wan, Xiaoliang Chen, Yajun Du, Mengmeng Jia
2018 — conf
Information Diffusion Model Based on Opportunity, Trust and Motivation.
CCIR
Jihong Wan, Xiaoliang Chen, Yajun Du, Mengmeng Jia