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Hong Zhao 0002
Person information
- affiliation: Minnan Normal University, School of Computer Science, Zhangzhou, China
Other persons with the same name
- Hong Zhao (aka: Zhao Hong) — disambiguation page
- H. Vicky Zhao
(aka: Hong Vicky Zhao, Hong Zhao 0001) — University of Alberta, Edmonton, Canada
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2020 – today
- 2024
- [j46]Wenwei He
ECS-SC: Long-tailed classification via data augmentation based on easily confused sample selection and combination. Expert Syst. Appl. 246: 123138 (2024) - [j45]Jie Jin
HMRM: Hierarchy-aware Misclassification Risk Minimization for few-shot learning. Expert Syst. Appl. 251: 123885 (2024) - [j44]Yang Zhang, Jie Shi, Hong Zhao
DMTFS-FO: Dynamic multi-task feature selection based on flexible loss and orthogonal constraint. Expert Syst. Appl. 255: 124588 (2024) - [j43]Wei Zhao, Hong Zhao
Hierarchical long-tailed classification based on multi-granularity knowledge transfer driven by multi-scale feature fusion. Pattern Recognit. 145: 109842 (2024) - [j42]Yuling Su
Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making. IEEE Trans. Big Data 10(4): 486-497 (2024) - [j41]Hong Zhao
Hierarchical Convolutional Neural Network with Knowledge Complementation for Long-Tailed Classification. ACM Trans. Knowl. Discov. Data 18(6): 154:1-154:22 (2024) - [j40]Jielong Lu
Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification. IEEE Trans. Multim. 26: 7987-7999 (2024) - 2023
- [j39]Zhiping Wu
Hierarchical few-shot learning based on coarse- and fine-grained relation network. Artif. Intell. Rev. 56(3): 2011-2030 (2023) - [j38]Xiao Jia, Yuling Su, Hong Zhao
Few-shot learning via relation network based on coarse-grained granulation. Appl. Intell. 53(1): 996-1008 (2023) - [j37]Jie Shi, Zhengyu Li, Hong Zhao:
Feature selection via maximizing inter-class independence and minimizing intra-class redundancy for hierarchical classification. Inf. Sci. 626: 1-18 (2023) - [j36]Zhiping Wu
Hierarchical few-shot learning with feature fusion driven by data and knowledge. Inf. Sci. 639: 119012 (2023) - [j35]Jie Shi, Hong Zhao
FS-MGKC: Feature selection based on structural manifold learning with multi-granularity knowledge coordination. Inf. Sci. 648: 119555 (2023) - [j34]Zhong Zhang, Zhiping Wu
Knowledge transfer based hierarchical few-shot learning via tree-structured knowledge graph. Int. J. Mach. Learn. Cybern. 14(1): 281-294 (2023) - [j33]Junyan Xu, Wei Zhao, Hong Zhao
Coarse-to-fine knowledge transfer based long-tailed classification via bilateral-sampling network. Int. J. Mach. Learn. Cybern. 14(10): 3323-3336 (2023) - [j32]Yaojin Lin
Hierarchical Feature Selection Based on Label Distribution Learning. IEEE Trans. Knowl. Data Eng. 35(6): 5964-5976 (2023) - 2022
- [j31]Gangyi Tian, Jianran Liu, Hong Zhao, Wenyuan Yang
Small object detection via dual inspection mechanism for UAV visual images. Appl. Intell. 52(4): 4244-4257 (2022) - [j30]Zeyu Qiu, Hong Zhao
A fuzzy rough set approach to hierarchical feature selection based on Hausdorff distance. Appl. Intell. 52(10): 11089-11102 (2022) - [j29]Yuling Su, Hong Zhao
Few-shot learning based on hierarchical classification via multi-granularity relation networks. Int. J. Approx. Reason. 142: 417-429 (2022) - [j28]Zeyu Qiu, Minjie Hu, Hong Zhao
Hierarchical classification based on coarse- to fine-grained knowledge transfer. Int. J. Approx. Reason. 149: 61-69 (2022) - [j27]Wei Zhao, Yuling Su, Minjie Hu, Hong Zhao
Hybrid ResNet based on joint basic and attention modules for long-tailed classification. Int. J. Approx. Reason. 150: 83-97 (2022) - [j26]Zhengyu Li, Hong Zhao, Yaojin Lin:
Multi-task convolutional neural network with coarse-to-fine knowledge transfer for long-tailed classification. Inf. Sci. 608: 900-916 (2022) - 2021
- [j25]Shunxin Guo, Hong Zhao
Hierarchical classification with multi-path selection based on granular computing. Artif. Intell. Rev. 54(3): 2067-2089 (2021) - [j24]Weijie Zheng, Hong Zhao
Cost-sensitive hierarchical classification via multi-scale information entropy for data with an imbalanced distribution. Appl. Intell. 51(8): 5940-5952 (2021) - [j23]Longzhu Li
Causality-based online streaming feature selection. Concurr. Comput. Pract. Exp. 33(20) (2021) - [j22]Xinxin Liu
Robust hierarchical feature selection with a capped ℓ2-norm. Neurocomputing 443: 131-146 (2021) - [j21]Xinxin Liu
Robust hierarchical feature selection driven by data and knowledge. Inf. Sci. 551: 341-357 (2021) - [j20]Shunxin Guo, Hong Zhao, Wenyuan Yang:
Hierarchical feature selection with multi-granularity clustering structure. Inf. Sci. 568: 448-462 (2021) - [j19]Hong Zhao, Shunxin Guo, Yaojin Lin:
Hierarchical classification of data with long-tailed distributions via global and local granulation. Inf. Sci. 581: 536-552 (2021) - [j18]Hong Zhao
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. IEEE Trans. Knowl. Data Eng. 33(7): 2833-2846 (2021) - 2020
- [j17]Weijie Zheng, Hong Zhao
Cost-sensitive hierarchical classification for imbalance classes. Appl. Intell. 50(8): 2328-2338 (2020)
2010 – 2019
- 2019
- [j16]Xinxin Liu
Hierarchical feature extraction based on discriminant analysis. Appl. Intell. 49(7): 2780-2792 (2019) - [j15]Hong Zhao
Cost-sensitive feature selection via the ℓ2, 1-norm. Int. J. Approx. Reason. 104: 25-37 (2019) - [j14]Qianjuan Tuo, Hong Zhao, Qinghua Hu:
Hierarchical feature selection with subtree based graph regularization. Knowl. Based Syst. 163: 996-1008 (2019) - [j13]Hong Zhao
Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification. IEEE Trans. Fuzzy Syst. 27(10): 1891-1903 (2019) - 2018
- [j12]Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao:
Multi-label feature selection with missing labels. Pattern Recognit. 74: 488-502 (2018) - 2017
- [j11]Hong Zhao
A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism. Inf. Sci. 378: 303-316 (2017) - [c7]Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. ICDM 2017: 515-524 - [c6]Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu:
Hierarchical Feature Selection with Recursive Regularization. IJCAI 2017: 3483-3489 - 2016
- [j10]Hong Zhao
Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence. Inf. Sci. 366: 134-149 (2016) - [j9]Xiangju Li, Hong Zhao, William Zhu
An exponent weighted algorithm for minimal cost feature selection. Int. J. Mach. Learn. Cybern. 7(5): 689-698 (2016) - [j8]Anjing Fan, Hong Zhao, William Zhu
Test-cost-sensitive attribute reduction on heterogeneous data for adaptive neighborhood model. Soft Comput. 20(12): 4813-4824 (2016) - 2015
- [j7]Yanfang Liu, Hong Zhao, William Zhu
Parametric Matroid of Rough Set. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(6): 893-908 (2015) - [j6]Xiangju Li, Hong Zhao, William Zhu
A cost sensitive decision tree algorithm with two adaptive mechanisms. Knowl. Based Syst. 88: 24-33 (2015) - [j5]Jingkuan Li, Hong Zhao, William Zhu
Fast randomized algorithm with restart strategy for minimal test cost feature selection. Int. J. Mach. Learn. Cybern. 6(3): 435-442 (2015) - [c5]Junxia Niu, Hong Zhao, William Zhu
Optimal feature subset with positive region constraints. ICMLC 2015: 75-80 - [c4]Hong Zhao, Xiangju Li, Zilong Xu, William Zhu
Cost-sensitive decision tree with probabilistic pruning mechanism. ICMLC 2015: 81-87 - 2014
- [j4]Aiping Huang
Nullity-based matroid of rough sets and its application to attribute reduction. Inf. Sci. 263: 153-165 (2014) - [j3]Hong Zhao, William Zhu
Optimal cost-sensitive granularization based on rough sets for variable costs. Knowl. Based Syst. 65: 72-82 (2014) - [j2]Jiabin Liu, Fan Min
Feature Selection with Positive Region Constraint for Test-Cost-Sensitive Data. Trans. Rough Sets 18: 23-33 (2014) - [c3]Anjing Fan, Hong Zhao, William Zhu
Global Best Artificial Bee Colony for Minimal Test Cost Attribute Reduction. RSKT 2014: 101-110 - [c2]Junxia Niu, Hong Zhao, William Zhu
A Logarithmic Weighted Algorithm for Minimal Test Cost Attribute Reduction. RSKT 2014: 129-138 - 2013
- [j1]Hong Zhao
Cost-Sensitive Feature Selection of Numeric Data with Measurement Errors. J. Appl. Math. 2013: 754698:1-754698:13 (2013) - [i1]Bin Yang, Hong Zhao, William Zhu:
Rough matroids based on coverings. CoRR abs/1311.0351 (2013) - 2011
- [c1]Hong Zhao, Fan Min
Test-cost-sensitive attribute reduction based on neighborhood rough set. GrC 2011: 802-806
Coauthor Index
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