Matrix-pattern-oriented classifier with boundary projection discrimination. - Zhe Wang 002; Zonghai Zhu (Knowl. Based Syst., 2018)

Multiple Empirical Kernel Learning with Majority Projection for imbalanced problems. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Wenli Du (Appl. Soft Comput., 2019)

Tree-based space partition and merging ensemble learning framework for imbalanced problems. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Wenli Du (Inf. Sci., 2019)

Entropy and gravitation based dynamic radius nearest neighbor classification for imbalanced problem. - Zhe Wang 002; Yanqiong Li; Dongdong Li; Zonghai Zhu; Wenli Du (Knowl. Based Syst., 2020)

NearCount: Selecting critical instances based on the cited counts of nearest neighbors. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Wenli Du (Knowl. Based Syst., 2020)

Efficient matrixized classification learning with separated solution process. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Wenli Du; Jing Zhang 041 (Neural Comput. Appl., 2020)

Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Wenli Du; Yangming Zhou (Neural Networks, 2020)

Collaborative and geometric multi-kernel learning for multi-class classification. - Zhe Wang 002; Zonghai Zhu; Dongdong Li (Pattern Recognit., 2020)

Geometric Structural Ensemble Learning for Imbalanced Problems. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Yujin Zhu; Wenli Du (IEEE Trans. Cybern., 2020)

An Efficient Federated Distillation Learning System for Multi-task Time Series Classification. - Huanlai Xing; Zhiwen Xiao; Rong Qu; Zonghai Zhu; Bowen Zhao 002 (CoRR, 2022)

Easy balanced mixing for long-tailed data. - Zonghai Zhu; Huanlai Xing; Yuge Xu (Knowl. Based Syst., 2022)

Globalized Multiple Balanced Subsets With Collaborative Learning for Imbalanced Data. - Zonghai Zhu; Zhe Wang 002; Dongdong Li; Wenli Du (IEEE Trans. Cybern., 2022)

An Efficient Federated Distillation Learning System for Multitask Time Series Classification. - Huanlai Xing; Zhiwen Xiao; Rong Qu; Zonghai Zhu; Bowen Zhao 002 (IEEE Trans. Instrum. Meas., 2022)

Balanced neighbor exploration for semi-supervised node classification on imbalanced graph data. - Zonghai Zhu; Huanlai Xing; Yuge Xu (Inf. Sci., 2023)

Multiple Kernel Subspace Learning for Clustering and Classification. - Ziqiu Chi; Zhe Wang 002; Bolu Wang; Zhongli Fang; Zonghai Zhu; Dongdong Li; Wenli Du (IEEE Trans. Knowl. Data Eng., 2023)

Multilabel Convolutional Network With Feature Denoising and Details Supplement. - Tianhao Gu; Zhe Wang 002; Zhongli Fang; Zonghai Zhu; Hai Yang 002; Dongdong Li; Wenli Du (IEEE Trans. Neural Networks Learn. Syst., 2023)

FMLGLN: Fast Multi-layer Graph Linear Network. - Zonghai Zhu; Huanlai Xing; Yuge Xu (Eng. Appl. Artif. Intell., 2024)

Deep Contrastive Representation Learning With Self-Distillation. - Zhiwen Xiao; Huanlai Xing; Bowen Zhao 002; Rong Qu; Shouxi Luo; Penglin Dai; Ke Li 020; Zonghai Zhu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

QHNet: A Novel Quad-Head Network for Real-Time Detection of Intruding Drones. - Qian Wan; Li Feng; Zhiwen Xiao; Zonghai Zhu; Huanlai Xing; Yunong Tian; Yurui Feng; Zong Wei (IEEE Trans. Geosci. Remote. Sens., 2025)

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. - Zhiwen Xiao; Huagang Tong; Rong Qu; Huanlai Xing; Shouxi Luo; Zonghai Zhu; Fuhong Song; Li Feng (IEEE Trans. Neural Networks Learn. Syst., 2025)