Hong Zhao

66 papers A* 2Misc 3Journal 59Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
DAFS: A distribution-aware hierarchical feature selection method for long-tailed classification.
Pattern Recognit.
Yang Zhang, Jie Shi, Yanfang Liu, Hong Zhao
2026 J jnl
Decoupling and alleviating knowledge bias for federated learning under data heterogeneity.
Knowl. Based Syst.
Qi Li, Yucan Zhou, Hong Zhao, Jiang Zhou, Xiaoyan Gu
2026 J jnl
FCGNN: Fuzzy Cognitive Graph Neural Networks With Concept Evolution for Few-Shot Learning.
IEEE Trans. Fuzzy Syst.
Linhua Zou, Dongqing Li, Chengxi Jiang, Yu Wang, Hong Zhao
2026 J jnl
Interpretable Multi-View Representation Learning Towards Complex Scenes: From Homogeneity to Heterogeneity.
IEEE Trans. Multim.
Ying Zou, Zihan Fang, Shide Du, Yilin Wu, Hong Zhao, Shiping Wang
2025 J jnl
CSTS: Exploring Class-Specific and Task-Shared Embedding Representation for Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Hong Zhao, Yuling Su, Zhiping Wu, Weiping Ding
2025 J jnl
Deep Reinforcement Learning-Based Contract Incentive and Computation Offloading for Mobile Edge Computing-Enabled Blockchain.
IEEE Trans. Netw. Serv. Manag.
Wenjie Zhang, Yi Liu, Hong Zhao, Chai Kiat Yeo
2025 J jnl
FSAKE: Few-shot graph learning via adaptive neighbor class knowledge embedding.
Expert Syst. Appl.
Linhua Zou, Jie Jin, Dongqing Li, Hong Zhao
2025 J jnl
FSPDF: Few-shot learning with progressive dual-domain feature fusion via self-supervised learning.
Knowl. Based Syst.
Dongqing Li, Jie Jin, Linhua Zou, Hong Zhao
2025 J jnl
Hierarchical feature selection driven by inter-category relevance and semantic independence.
Pattern Recognit.
Zilong Lin, Yaojin Lin, Yang Zhang, Hong Zhao
2025 J jnl
Information-controlled graph convolutional network for multi-view semi-supervised classification.
Neural Networks
Yongquan Shi, Yueyang Pi, Zhanghui Liu, Hong Zhao, Shiping Wang
2025 J jnl
Multi-granularity awareness via cross fusion for few-shot learning.
Inf. Sci.
Zhiping Wu, Dongqing Li, Linhua Zou, Hong Zhao
2025 J jnl
PHFS: Progressive Hierarchical Feature Selection Based on Adaptive Sample Weighting.
IEEE Trans. Neural Networks Learn. Syst.
Hong Zhao, Jie Shi, Yang Zhang
2024 J jnl
DMTFS-FO: Dynamic multi-task feature selection based on flexible loss and orthogonal constraint.
Expert Syst. Appl.
Yang Zhang, Jie Shi, Hong Zhao
2024 J jnl
ECS-SC: Long-tailed classification via data augmentation based on easily confused sample selection and combination.
Expert Syst. Appl.
Wenwei He, Junyan Xu, Jie Shi, Hong Zhao
2024 J jnl
Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making.
IEEE Trans. Big Data
Yuling Su, Hong Zhao, Yifeng Zheng, Yu Wang
2024 J jnl
Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification.
IEEE Trans. Multim.
Jielong Lu, Zhihao Wu, Luying Zhong, Zhaoliang Chen, Hong Zhao, Shiping Wang
2024 J jnl
HMRM: Hierarchy-aware Misclassification Risk Minimization for few-shot learning.
Expert Syst. Appl.
Jie Jin, Yangqing Zhong, Hong Zhao
2024 J jnl
Hierarchical Convolutional Neural Network with Knowledge Complementation for Long-Tailed Classification.
ACM Trans. Knowl. Discov. Data
Hong Zhao, Zhengyu Li, Wenwei He, Yan Zhao
2024 J jnl
Hierarchical long-tailed classification based on multi-granularity knowledge transfer driven by multi-scale feature fusion.
Pattern Recognit.
Wei Zhao, Hong Zhao
2023 J jnl
Coarse-to-fine knowledge transfer based long-tailed classification via bilateral-sampling network.
Int. J. Mach. Learn. Cybern.
Junyan Xu, Wei Zhao, Hong Zhao
2023 J jnl
FS-MGKC: Feature selection based on structural manifold learning with multi-granularity knowledge coordination.
Inf. Sci.
Jie Shi, Hong Zhao
2023 J jnl
Feature selection via maximizing inter-class independence and minimizing intra-class redundancy for hierarchical classification.
Inf. Sci.
Jie Shi, Zhengyu Li, Hong Zhao
2023 J jnl
Few-shot learning via relation network based on coarse-grained granulation.
Appl. Intell.
Xiao Jia, Yuling Su, Hong Zhao
2023 J jnl
Hierarchical Feature Selection Based on Label Distribution Learning.
IEEE Trans. Knowl. Data Eng.
Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu
2023 J jnl
Hierarchical few-shot learning based on coarse- and fine-grained relation network.
Artif. Intell. Rev.
Zhiping Wu, Hong Zhao
2023 J jnl
Hierarchical few-shot learning with feature fusion driven by data and knowledge.
Inf. Sci.
Zhiping Wu, Hong Zhao
2023 J jnl
Knowledge transfer based hierarchical few-shot learning via tree-structured knowledge graph.
Int. J. Mach. Learn. Cybern.
Zhong Zhang, Zhiping Wu, Hong Zhao, Minjie Hu
2022 J jnl
A fuzzy rough set approach to hierarchical feature selection based on Hausdorff distance.
Appl. Intell.
Zeyu Qiu, Hong Zhao
2022 J jnl
Few-shot learning based on hierarchical classification via multi-granularity relation networks.
Int. J. Approx. Reason.
Yuling Su, Hong Zhao, Yaojin Lin
2022 J jnl
Hierarchical classification based on coarse- to fine-grained knowledge transfer.
Int. J. Approx. Reason.
Zeyu Qiu, Minjie Hu, Hong Zhao
2022 J jnl
Hybrid ResNet based on joint basic and attention modules for long-tailed classification.
Int. J. Approx. Reason.
Wei Zhao, Yuling Su, Minjie Hu, Hong Zhao
2022 J jnl
Multi-task convolutional neural network with coarse-to-fine knowledge transfer for long-tailed classification.
Inf. Sci.
Zhengyu Li, Hong Zhao, Yaojin Lin
2022 J jnl
Small object detection via dual inspection mechanism for UAV visual images.
Appl. Intell.
Gangyi Tian, Jianran Liu, Hong Zhao, Wenyuan Yang
2021 J jnl
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification.
IEEE Trans. Knowl. Data Eng.
Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang
2021 J jnl
Causality-based online streaming feature selection.
Concurr. Comput. Pract. Exp.
Longzhu Li, Yaojin Lin, Hong Zhao, Jinkun Chen, Shaozi Li
2021 J jnl
Cost-sensitive hierarchical classification via multi-scale information entropy for data with an imbalanced distribution.
Appl. Intell.
Weijie Zheng, Hong Zhao
2021 J jnl
Hierarchical classification of data with long-tailed distributions via global and local granulation.
Inf. Sci.
Hong Zhao, Shunxin Guo, Yaojin Lin
2021 J jnl
Hierarchical classification with multi-path selection based on granular computing.
Artif. Intell. Rev.
Shunxin Guo, Hong Zhao
2021 J jnl
Hierarchical feature selection with multi-granularity clustering structure.
Inf. Sci.
Shunxin Guo, Hong Zhao, Wenyuan Yang
2021 J jnl
Robust hierarchical feature selection driven by data and knowledge.
Inf. Sci.
Xinxin Liu, Yucan Zhou, Hong Zhao
2021 J jnl
Robust hierarchical feature selection with a capped ℓ2-norm.
Neurocomputing
Xinxin Liu, Hong Zhao
2020 J jnl
Cost-sensitive hierarchical classification for imbalance classes.
Appl. Intell.
Weijie Zheng, Hong Zhao
2019 J jnl
Cost-sensitive feature selection via the
Int. J. Approx. Reason.
Hong Zhao, Shenglong Yu
2019 J jnl
Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification.
IEEE Trans. Fuzzy Syst.
Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu
2019 J jnl
Hierarchical feature extraction based on discriminant analysis.
Appl. Intell.
Xinxin Liu, Hong Zhao
2019 J jnl
Hierarchical feature selection with subtree based graph regularization.
Knowl. Based Syst.
Qianjuan Tuo, Hong Zhao, Qinghua Hu
2018 J jnl
Multi-label feature selection with missing labels.
Pattern Recognit.
Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao
2017 J jnl
A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism.
Inf. Sci.
Hong Zhao, Xiangju Li
2017 A* conf
Hierarchical Feature Selection with Recursive Regularization.
IJCAI
Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu
2017 A* conf
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.
ICDM
Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang
2016 J jnl
An exponent weighted algorithm for minimal cost feature selection.
Int. J. Mach. Learn. Cybern.
Xiangju Li, Hong Zhao, William Zhu
2016 J jnl
Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence.
Inf. Sci.
Hong Zhao, Ping Wang, Qinghua Hu
2016 J jnl
Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model.
Soft Comput.
Anjing Fan, Hong Zhao, William Zhu
2015 J jnl
A cost sensitive decision tree algorithm with two adaptive mechanisms.
Knowl. Based Syst.
Xiangju Li, Hong Zhao, William Zhu
2015 Misc conf
Cost-sensitive decision tree with probabilistic pruning mechanism.
ICMLC
Hong Zhao, Xiangju Li, Zilong Xu, William Zhu
2015 J jnl
Fast randomized algorithm with restart strategy for minimal test cost feature selection.
Int. J. Mach. Learn. Cybern.
Jingkuan Li, Hong Zhao, William Zhu
2015 Misc conf
Optimal feature subset with positive region constraints.
ICMLC
Junxia Niu, Hong Zhao, William Zhu
2015 J jnl
Parametric Matroid of Rough Set.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Yanfang Liu, Hong Zhao, William Zhu
2014 — conf
A Logarithmic Weighted Algorithm for Minimal Test Cost Attribute Reduction.
RSKT
Junxia Niu, Hong Zhao, William Zhu
2014 J jnl
Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data.
Trans. Rough Sets
Jiabin Liu, Fan Min, Hong Zhao, William Zhu
2014 — conf
Global Best Artificial Bee Colony for Minimal Test Cost Attribute Reduction.
RSKT
Anjing Fan, Hong Zhao, William Zhu
2014 J jnl
Nullity-based matroid of rough sets and its application to attribute reduction.
Inf. Sci.
Aiping Huang, Hong Zhao, William Zhu
2014 J jnl
Optimal cost-sensitive granularization based on rough sets for variable costs.
Knowl. Based Syst.
Hong Zhao, William Zhu
2013 J jnl
Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors.
J. Appl. Math.
Hong Zhao, Fan Min, William Zhu
2013 J jnl
Rough matroids based on coverings.
CoRR
Bin Yang, Hong Zhao, William Zhu
2011 Misc conf
Test-cost-sensitive attribute reduction based on neighborhood rough set.
GrC
Hong Zhao, Fan Min, William Zhu