Zonghai Zhu

According to our database, Zonghai Zhu authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Deep Contrastive Representation Learning With Self-Distillation.

Zhiwen Xiao, Huanlai Xing, Bowen Zhao, Rong Qu, Shouxi Luo, Penglin Dai, Ke Li, Zonghai Zhu

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

FMLGLN: Fast Multi-layer Graph Linear Network.

Zonghai Zhu, Huanlai Xing, Yuge Xu

Eng. Appl. Artif. Intell., January, 2024

2023

Multilabel Convolutional Network With Feature Denoising and Details Supplement.

Tianhao Gu, Zhe Wang, Zhongli Fang, Zonghai Zhu, Hai Yang, Dongdong Li, Wenli Du

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Multiple Kernel Subspace Learning for Clustering and Classification.

Ziqiu Chi, Zhe Wang, Bolu Wang, Zhongli Fang, Zonghai Zhu, Dongdong Li, Wenli Du

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

Balanced neighbor exploration for semi-supervised node classification on imbalanced graph data.

Zonghai Zhu, Huanlai Xing, Yuge Xu

Inf. Sci., 2023

2022

An Efficient Federated Distillation Learning System for Multitask Time Series Classification.

Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao

IEEE Trans. Instrum. Meas., 2022

Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du

IEEE Trans. Cybern., 2022

Easy balanced mixing for long-tailed data.

Zonghai Zhu, Huanlai Xing, Yuge Xu

Knowl. Based Syst., 2022

An Efficient Federated Distillation Learning System for Multi-task Time Series Classification.

Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao

CoRR, 2022

2020

Geometric Structural Ensemble Learning for Imbalanced Problems.

Zonghai Zhu, Zhe Wang, Dongdong Li, Yujin Zhu, Wenli Du

IEEE Trans. Cybern., 2020

Collaborative and geometric multi-kernel learning for multi-class classification.

Zhe Wang, Zonghai Zhu, Dongdong Li

Pattern Recognit., 2020

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Yangming Zhou

Neural Networks, 2020

Efficient matrixized classification learning with separated solution process.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Jing Zhang

Neural Comput. Appl., 2020

NearCount: Selecting critical instances based on the cited counts of nearest neighbors.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du

Knowl. Based Syst., 2020

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem.

Zhe Wang, Yanqiong Li, Dongdong Li, Zonghai Zhu, Wenli Du

Knowl. Based Syst., 2020

2019

Tree-based space partition and merging ensemble learning framework for imbalanced problems.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du

Inf. Sci., 2019

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems.

Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du

Appl. Soft Comput., 2019

2018

Matrix-pattern-oriented classifier with boundary projection discrimination.

Zhe Wang, Zonghai Zhu

Knowl. Based Syst., 2018