Pinned Repositories
APIN-HFRS
Zeyu Qiu，Hong Zhao*，A fuzzy rough set approach based on Hausdorff distance for hierarchical feature selection, Applied Intelligence, 2022
APIN-S-18-01010-HFEDA
Xinxin Liu，Hong Zhao*，Hierarchical feature extraction based on discriminant analysis, Applied Intelligence, 2019, 49(7): 2780-2792
CSTS
Hong Zhao, Yuling Su, et. al, CSTS: Exploring class-specific and task-shared embedding representation for few-shot learning, IEEE Transactions on Neural Networks and Learning Systems, 2024
HFFDK
Zhiping Wu, Hong Zhao*, Hierarchical few-shot learning with feature fusion driven by data and knowledge, Information Sciences, 2023.
HFKT
Zhong Zhang，Zhiping Wu, Minjie Hu, Hong Zhao*, Knowledge transfer based hierarchical few-shot learning via tree-structured knowledge graph
HFSCN
Xinxin Liu，Hong Zhao*，Robust hierarchical feature selection with a capped norm, Neurocomputing, 2021, 443: 131-146
HFSDK
Xinxin Liu，Yucan Zhou，Hong Zhao*，Robust hierarchical feature selection driven by data and knowledge, Information Sciences, 2021, 551: 341-357
IJCAI2017
Hong Zhao, Pengfei Zhu, Ping Wang, Qinghua Hu, Hierarchical feature selection with recursive regularization. In Proceedings of the 26th International Joint Conference on Artificial Intelligence, 2017, 3483-3489
TFS-2016-0893
Hong Zhao, Ping Wang, Qinghua Hu, Pengfei Zhu, Fuzzy rough set based feature selection for large-scale hierarchical classification, IEEE Transactions on Fuzzy Systems, 2019, 27(10):1891-1903
TKDE2019
Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang, A recursive regularization based feature selection framework for hierarchical classification. IEEE Transactions on Knowledge and Data Engineering, 2021, 33(7): 2833-2846.
fhqxa's Repositories
fhqxa/APIN-HFRS
Zeyu Qiu，Hong Zhao*，A fuzzy rough set approach based on Hausdorff distance for hierarchical feature selection, Applied Intelligence, 2022
fhqxa/HFKT
Zhong Zhang，Zhiping Wu, Minjie Hu, Hong Zhao*, Knowledge transfer based hierarchical few-shot learning via tree-structured knowledge graph
fhqxa/HFSDK
Xinxin Liu，Yucan Zhou，Hong Zhao*，Robust hierarchical feature selection driven by data and knowledge, Information Sciences, 2021, 551: 341-357
fhqxa/HFFDK
Zhiping Wu, Hong Zhao*, Hierarchical few-shot learning with feature fusion driven by data and knowledge, Information Sciences, 2023.
fhqxa/HFSCN
Xinxin Liu，Hong Zhao*，Robust hierarchical feature selection with a capped norm, Neurocomputing, 2021, 443: 131-146
fhqxa/CSTS
Hong Zhao, Yuling Su, et. al, CSTS: Exploring class-specific and task-shared embedding representation for few-shot learning, IEEE Transactions on Neural Networks and Learning Systems, 2024
fhqxa/HCRN
Zhiping Wu, Hong Zhao*, Hierarchical few-shot learning based on coarse- and fine-grained relation network, Artificial Intelligence Review
fhqxa/lzy_HCKC
Hong Zhao, Zhengyu Li, Wenwei He, and Yan Zhao, Hierarchical convolutional neural network with knowledge complementation for long-tailed classification, submit to TKDD
fhqxa/MGKT-MFF
Wei Zhao, Hong Zhao*, Hierarchical long-tailed classification based on coarse- to fine-grained knowledge transfer driven by feature fusion, Pattern Recognition, 2023
fhqxa/APIN-D-19-01226
Weijie Zheng，Hong Zhao*，Cost-sensitive hierarchical classification for imbalance classes, Applied Intelligence, 2020, 50: 2328–2338
fhqxa/CSHC
Weijie Zheng，Hong Zhao*，Cost-sensitive hierarchical classification via multi-scale information entropy for data with an imbalanced distribution, Applied Intelligence, 2021, 51: 5940–5952
fhqxa/HMRN
Yuling Su, Hong Zhao*, Yaojin Lin, Few-shot learning based on hierarchical classification via multi-granularity relation networks, International Journal of Approximate Reasoning, 2022, 142: 417-429.
fhqxa/lzy_MCKT
Zhengyu Li, Hong Zhao, Yaojin Lin, Multi-task convolutional neural network with coarse-to-fine knowledge transfer for long-tailed classificationInformation Sciences, 2022, 608:900-916.
fhqxa/SSF-HRNet
Yangqing Zhong, Yuling Su, Hong Zhao*.Self-similarity Feature Based Few-shot Learning via Hierarchical Relation Network.
fhqxa/CFBSNet
Junyan Xu, Wei Zhao, Hong Zhao*,Coarse-to-fine knowledge transfer based long-tailed classification via bilateral-sampling network, International Journal of Machine Learning and Cybernetic, 2023
fhqxa/CGRN
Jia X , Su Y , Zhao H .Few-shot learning via relation network based on coarse-grained granulation[J]. Applied Intelligence, 2023, 53(1): 996-1008
fhqxa/DMTFS-FO
fhqxa/DPA_EI
DPA-EI: Long-tailed classification by dual progressive augmentation from explicit and implicit perspectives
fhqxa/FDASD
Hong Zhao*, Junyan XU, Self-revised teacher guides the student: foreground-background data augmentation for long-tailed classification
fhqxa/fhqxa.github.io
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fhqxa/FS-MGKC
Jie Shi, Hong Zhao*, FS-MGKC: Feature selection based on structural manifold learning with multi-granularity knowledge coordination, Information Sciences, 2023
fhqxa/FSAKE
fhqxa/FSPDF
fhqxa/HCGLD
Hong Zhao*，Shunxin Guo，Yaojin Lin，Hierarchical classification via global- and local- granulation for long-tail distribution, Information Sciences, 2021, 581: 536-552.
fhqxa/HCMP
Shunxin Guo，Hong Zhao*，Hierarchical classification with multi-path selection based on granular computing, Artificial Intelligence Review, 2021,54(3): 2067-2089.
fhqxa/HFS-MIMR-INS
Jie Shi, Zhenyu Li, Hong Zhao*, Feature selection via maximizing inter-class independence and minimizing intra-class redundancy for hierarchical classification, Information Sciences, 2023
fhqxa/HMRM
Jie Jin, Hong Zhao*, HMRM: Hierarchy-awareness misclassification risk minimization for few-shot learning, submit toESWA
fhqxa/JBFP
fhqxa/MGKFD
Yuling Su, Hong Zhao*, Yifeng Zheng, Yu Wang, Few-shot learning with multi-granularity knowledge fusion and decision-making, IEEE Transactions on Big Data, 2023
fhqxa/PHFS