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ORCIDZonghai Zhu
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2020 – today
- 2024
[j17]Zonghai Zhu
, Huanlai Xing, Yuge Xu:
FMLGLN: Fast Multi-layer Graph Linear Network. Eng. Appl. Artif. Intell. 127(Part A): 107240 (2024)- [j16]Zhiwen Xiao, Huanlai Xing, Bowen Zhao, Rong Qu, Shouxi Luo, Penglin Dai, Ke Li, Zonghai Zhu:
Deep Contrastive Representation Learning With Self-Distillation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 3-15 (2024) - 2023
- [j15]Zonghai Zhu, Huanlai Xing, Yuge Xu:
Balanced neighbor exploration for semi-supervised node classification on imbalanced graph data. Inf. Sci. 631: 31-44 (2023) - [j14]Ziqiu Chi, Zhe Wang, Bolu Wang, Zhongli Fang, Zonghai Zhu, Dongdong Li, Wenli Du:
Multiple Kernel Subspace Learning for Clustering and Classification. IEEE Trans. Knowl. Data Eng. 35(7): 7278-7290 (2023) - [j13]Tianhao Gu, Zhe Wang, Zhongli Fang, Zonghai Zhu, Hai Yang, Dongdong Li, Wenli Du:
Multilabel Convolutional Network With Feature Denoising and Details Supplement. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8349-8361 (2023) - 2022
- [j12]Zonghai Zhu, Huanlai Xing, Yuge Xu:
Easy balanced mixing for long-tailed data. Knowl. Based Syst. 248: 108816 (2022) - [j11]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du:
Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data. IEEE Trans. Cybern. 52(4): 2407-2417 (2022) - [j10]Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao:
An Efficient Federated Distillation Learning System for Multitask Time Series Classification. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [i1]Huanlai Xing, Zhiwen Xiao, Rong Qu, Zonghai Zhu, Bowen Zhao:
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification. CoRR abs/2201.00011 (2022) - 2020
- [j9]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du:
NearCount: Selecting critical instances based on the cited counts of nearest neighbors. Knowl. Based Syst. 190: 105196 (2020) - [j8]Zhe Wang, Yanqiong Li, Dongdong Li, Zonghai Zhu, Wenli Du:
Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem. Knowl. Based Syst. 193: 105474 (2020) - [j7]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Jing Zhang:
Efficient matrixized classification learning with separated solution process. Neural Comput. Appl. 32(14): 10609-10632 (2020) - [j6]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Yangming Zhou:
Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting. Neural Networks 123: 26-37 (2020) - [j5]Zhe Wang, Zonghai Zhu, Dongdong Li:
Collaborative and geometric multi-kernel learning for multi-class classification. Pattern Recognit. 99 (2020) - [j4]Zonghai Zhu, Zhe Wang, Dongdong Li, Yujin Zhu, Wenli Du:
Geometric Structural Ensemble Learning for Imbalanced Problems. IEEE Trans. Cybern. 50(4): 1617-1629 (2020)
2010 – 2019
- 2019
- [j3]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du:
Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems. Appl. Soft Comput. 76: 221-236 (2019) - [j2]Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du:
Tree-based space partition and merging ensemble learning framework for imbalanced problems. Inf. Sci. 503: 1-22 (2019) - 2018
- [j1]Zhe Wang, Zonghai Zhu:
Matrix-pattern-oriented classifier with boundary projection discrimination. Knowl. Based Syst. 149: 1-17 (2018)
Coauthor Index
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