Hong Zhao

According to our database, Hong Zhao authored at least 48 papers between 2011 and 2024.

Collaborative distances:

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

2024

Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making.

Yuling Su, Hong Zhao, Yifeng Zheng, Yu Wang

IEEE Trans. Big Data, August, 2024

Hierarchical Convolutional Neural Network with Knowledge Complementation for Long-Tailed Classification.

Hong Zhao, Zhengyu Li, Wenwei He, Yan Zhao

ACM Trans. Knowl. Discov. Data, July, 2024

Hierarchical long-tailed classification based on multi-granularity knowledge transfer driven by multi-scale feature fusion.

Wei Zhao, Hong Zhao

Pattern Recognit., January, 2024

ECS-SC: Long-tailed classification via data augmentation based on easily confused sample selection and combination.

Wenwei He, Junyan Xu, Jie Shi, Hong Zhao

Expert Syst. Appl., 2024

2023

FS-MGKC: Feature selection based on structural manifold learning with multi-granularity knowledge coordination.

Jie Shi, Hong Zhao

Inf. Sci., November, 2023

Coarse-to-fine knowledge transfer based long-tailed classification via bilateral-sampling network.

Junyan Xu, Wei Zhao, Hong Zhao

Int. J. Mach. Learn. Cybern., October, 2023

Hierarchical few-shot learning with feature fusion driven by data and knowledge.

Zhiping Wu, Hong Zhao

Inf. Sci., August, 2023

Hierarchical Feature Selection Based on Label Distribution Learning.

Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu

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

Hierarchical few-shot learning based on coarse- and fine-grained relation network.

Zhiping Wu, Hong Zhao

Artif. Intell. Rev., March, 2023

Knowledge transfer based hierarchical few-shot learning via tree-structured knowledge graph.

Zhong Zhang, Zhiping Wu, Hong Zhao, Minjie Hu

Int. J. Mach. Learn. Cybern., January, 2023

Few-shot learning via relation network based on coarse-grained granulation.

Xiao Jia, Yuling Su, Hong Zhao

Appl. Intell., 2023

2022

Multi-task convolutional neural network with coarse-to-fine knowledge transfer for long-tailed classification.

Zhengyu Li, Hong Zhao, Yaojin Lin

Inf. Sci., 2022

Hybrid ResNet based on joint basic and attention modules for long-tailed classification.

Wei Zhao, Yuling Su, Minjie Hu, Hong Zhao

Int. J. Approx. Reason., 2022

Few-shot learning based on hierarchical classification via multi-granularity relation networks.

Yuling Su, Hong Zhao, Yaojin Lin

Int. J. Approx. Reason., 2022

Hierarchical classification based on coarse- to fine-grained knowledge transfer.

Zeyu Qiu, Minjie Hu, Hong Zhao

Int. J. Approx. Reason., 2022

Small object detection via dual inspection mechanism for UAV visual images.

Gangyi Tian, Jianran Liu, Hong Zhao, Wenyuan Yang

Appl. Intell., 2022

A fuzzy rough set approach to hierarchical feature selection based on Hausdorff distance.

Zeyu Qiu, Hong Zhao

Appl. Intell., 2022

2021

A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification.

Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang

IEEE Trans. Knowl. Data Eng., 2021

Hierarchical classification of data with long-tailed distributions via global and local granulation.

Hong Zhao, Shunxin Guo, Yaojin Lin

Inf. Sci., 2021

Robust hierarchical feature selection driven by data and knowledge.

Xinxin Liu, Yucan Zhou, Hong Zhao

Inf. Sci., 2021

Hierarchical feature selection with multi-granularity clustering structure.

Shunxin Guo, Hong Zhao, Wenyuan Yang

Inf. Sci., 2021

Robust hierarchical feature selection with a capped ℓ2-norm.

Xinxin Liu, Hong Zhao

Neurocomputing, 2021

Causality-based online streaming feature selection.

Longzhu Li, Yaojin Lin, Hong Zhao, Jinkun Chen, Shaozi Li

Concurr. Comput. Pract. Exp., 2021

Cost-sensitive hierarchical classification via multi-scale information entropy for data with an imbalanced distribution.

Weijie Zheng, Hong Zhao

Appl. Intell., 2021

Hierarchical classification with multi-path selection based on granular computing.

Shunxin Guo, Hong Zhao

Artif. Intell. Rev., 2021

2020

Cost-sensitive hierarchical classification for imbalance classes.

Weijie Zheng, Hong Zhao

Appl. Intell., 2020

2019

Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification.

Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu

IEEE Trans. Fuzzy Syst., 2019

Hierarchical feature selection with subtree based graph regularization.

Qianjuan Tuo, Hong Zhao, Qinghua Hu

Knowl. Based Syst., 2019

Cost-sensitive feature selection via the <i>ℓ</i>_{2, 1}-norm.

Hong Zhao, Shenglong Yu

Int. J. Approx. Reason., 2019

Hierarchical feature extraction based on discriminant analysis.

Xinxin Liu, Hong Zhao

Appl. Intell., 2019

2017

A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism.

Hong Zhao, Xiangju Li

Inf. Sci., 2017

Hierarchical Feature Selection with Recursive Regularization.

Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.

Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model.

Anjing Fan, Hong Zhao, William Zhu

Soft Comput., 2016

An exponent weighted algorithm for minimal cost feature selection.

Xiangju Li, Hong Zhao, William Zhu

Int. J. Mach. Learn. Cybern., 2016

Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence.

Hong Zhao, Ping Wang, Qinghua Hu

Inf. Sci., 2016

2015

Fast randomized algorithm with restart strategy for minimal test cost feature selection.

Jingkuan Li, Hong Zhao, William Zhu

Int. J. Mach. Learn. Cybern., 2015

A cost sensitive decision tree algorithm with two adaptive mechanisms.

Xiangju Li, Hong Zhao, William Zhu

Knowl. Based Syst., 2015

Parametric Matroid of Rough Set.

Yanfang Liu, Hong Zhao, William Zhu

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Cost-sensitive decision tree with probabilistic pruning mechanism.

Hong Zhao, Xiangju Li, Zilong Xu, William Zhu

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Optimal feature subset with positive region constraints.

Junxia Niu, Hong Zhao, William Zhu

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data.

Jiabin Liu, Fan Min, Hong Zhao, William Zhu

Trans. Rough Sets, 2014

Optimal cost-sensitive granularization based on rough sets for variable costs.

Hong Zhao, William Zhu

Knowl. Based Syst., 2014

Nullity-based matroid of rough sets and its application to attribute reduction.

Aiping Huang, Hong Zhao, William Zhu

Inf. Sci., 2014

A Logarithmic Weighted Algorithm for Minimal Test Cost Attribute Reduction.

Junxia Niu, Hong Zhao, William Zhu

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Global Best Artificial Bee Colony for Minimal Test Cost Attribute Reduction.

Anjing Fan, Hong Zhao, William Zhu

Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

2013

Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors.

Hong Zhao, Fan Min, William Zhu

J. Appl. Math., 2013

2011

Test-cost-sensitive attribute reduction based on neighborhood rough set.

Hong Zhao, Fan Min, William Zhu

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011