Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. - Yu Wang 106; Qinghua Hu; Yucan Zhou; Hong Zhao 002; Yuhua Qian; Jiye Liang (ICDM, 2017)

Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning. - Jingzhuo Yang; Yu Wang 106; Qinghua Hu (ICONIP (3), 2018)

Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data. - Jingzhuo Yang; Yu Wang 106; Shenglei Pei; Qinghua Hu (IJCNN, 2018)

Deep super-class learning for long-tail distributed image classification. - Yucan Zhou; Qinghua Hu; Yu Wang 106 (Pattern Recognit., 2018)

Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification. - Yucan Zhou; Yu Wang 106; Jianfei Cai 001; Yu Zhou 015; Qinghua Hu; Weiping Wang 005 (CoRR, 2020)

Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification. - Yu Wang 106; Qinghua Hu; Pengfei Zhu 001; Linhao Li; Bingxu Lu; Jonathan M. Garibaldi; Xianling Li (IEEE Trans. Fuzzy Syst., 2020)

Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention. - Yongjuan Ma; Yu Wang 106; Pengfei Zhu 001; Junwen Pan; Hong Shi (ICIP, 2021)

Self-paced hierarchical metric learning (SPHML). - Mohammed Al-taezi; Pengfei Zhu 001; Qinghua Hu; Yu Wang 106; Abdulrahman Al-Badwi (Int. J. Mach. Learn. Cybern., 2021)

PQA-Net: Deep No Reference Point Cloud Quality Assessment via Multi-View Projection. - Qi Liu 029; Hui Yuan 001; Honglei Su; Hao Liu 044; Yu Wang 106; Huan Yang 001; Junhui Hou (IEEE Trans. Circuits Syst. Video Technol., 2021)

A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. - Hong Zhao 002; Qinghua Hu; Pengfei Zhu 001; Yu Wang 106; Ping Wang (IEEE Trans. Knowl. Data Eng., 2021)

RCANet: Row-Column Attention Network for Semantic Segmentation. - Bingxu Lu; Qinghua Hu; Yu Wang 106; Guosheng Hu (ICASSP, 2022)

Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation. - Junwen Pan; Pengfei Zhu 001; Kaihua Zhang 001; Bing Cao 002; Yu Wang 106; Dingwen Zhang; Junwei Han 001; Qinghua Hu (Int. J. Comput. Vis., 2022)

Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition. - Pengfei Zhu 001; Wanying Zhang; Yu Wang 106; Qinghua Hu (Int. J. Softw. Informatics, 2022)

Uncertainty instructed multi-granularity decision for large-scale hierarchical classification. - Yu Wang 106; Qinghua Hu; Hao Chen; Yuhua Qian (Inf. Sci., 2022)

Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification. - Yu Zhou 015; Xiaoni Li; Yucan Zhou; Yu Wang 106; Qinghua Hu; Weiping Wang 005 (Pattern Recognit., 2022)

Multi-granularity episodic contrastive learning for few-shot learning. - Pengfei Zhu 001; Zhilin Zhu; Yu Wang 106; Jinglin Zhang; Shuai Zhao (Pattern Recognit., 2022)

Hierarchical Semantic Risk Minimization for Large-Scale Classification. - Yu Wang 106; Zhou Wang 001; Qinghua Hu; Yucan Zhou; Honglei Su (IEEE Trans. Cybern., 2022)

Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark. - Zhihao Liu; Yuanyuan Shang; Timing Li; Guanlin Chen; Yu Wang 106; Qinghua Hu; Pengfei Zhu 001 (IEEE Trans. Multim., 2023)

Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. - Pengfei Zhu 001; Xinjie Yao; Yu Wang 106; Meng Cao; Binyuan Hui; Shuai Zhao; Qinghua Hu (IEEE Trans. Multim., 2023)

Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. - Yu Wang 106; Ruonan Liu; Di Lin 002; Dongyue Chen; Ping Li 016; Qinghua Hu; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Class-Specific Semantic Reconstruction for Open Set Recognition. - Hongzhi Huang; Yu Wang 106; Qinghua Hu; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Building hierarchical class structures for extreme multi-class learning. - Hongzhi Huang; Yu Wang 106; Qinghua Hu (Int. J. Mach. Learn. Cybern., 2023)

Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. - Huitong Chen; Yu Wang 106; Qinghua Hu (IEEE Trans. Knowl. Data Eng., 2023)

OpenMix+: Revisiting Data Augmentation for Open Set Recognition. - Guosong Jiang; Pengfei Zhu 001; Yu Wang 106; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering. - Pengfei Zhu 001; Jialu Li; Yu Wang 106; Bin Xiao 002; Shuai Zhao; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. - Pengfei Zhu 001; Qian Wang; Yu Wang 106; Jialu Li; Qinghua Hu (AAAI, 2024)

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. - Yan Fan; Yu Wang 106; Pengfei Zhu 001; Qinghua Hu (AAAI, 2024)

Exploring Diverse Representations for Open Set Recognition. - Yu Wang 106; Junxian Mu; Pengfei Zhu 001; Qinghua Hu (AAAI, 2024)

Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration. - Xinjie Yao; Yu Wang 106; Pengfei Zhu 001; Wanyu Lin; Jialu Li; Weihao Li; Qinghua Hu (ICML, 2024)

Persistence Homology Distillation for Semi-supervised Continual Learning. - Yan Fan; Yu Wang 106; Pengfei Zhu 001; Dongyue Chen; Qinghua Hu (NeurIPS, 2024)

What Matters in Graph Class Incremental Learning? An Information Preservation Perspective. - Jialu Li; Yu Wang 106; Pengfei Zhu 001; Wanyu Lin; Qinghua Hu (NeurIPS, 2024)

The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking. - Shuo Ye; Yu Wang 106; Qinmu Peng; Xinge You; C. L. Philip Chen (IEEE Trans. Circuits Syst. Video Technol., 2024)

Improved generative adversarial network with deep metric learning for missing data imputation. - Mohammed Al-taezi; Yu Wang 106; Pengfei Zhu 001; Qinghua Hu; Abdulrahman Al-Badwi (Neurocomputing, 2024)

Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization. - Shuo Ye; Qinmu Peng; Wenju Sun; Jiamiao Xu; Yu Wang 106; Xinge You; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2024)

Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. - Hongtao Yu; Pengfei Zhu 001; Kaihua Zhang 001; Yu Wang 106; Shuai Zhao; Lei Wang; Tianzhu Zhang 001; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploring and exploiting hierarchical structures for large-scale classification. - Junyan Zheng; Yu Wang 106; Shenglei Pei; Qinghua Hu (Int. J. Mach. Learn. Cybern., 2024)

Multiview Deep Subspace Clustering Networks. - Pengfei Zhu 001; Xinjie Yao; Yu Wang 106; Binyuan Hui; Dawei Du; Qinghua Hu (IEEE Trans. Cybern., 2024)

Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making. - Yuling Su; Hong Zhao 002; Yifeng Zheng; Yu Wang 106 (IEEE Trans. Big Data, 2024)

Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering. - Yu Wang 106; Xinjie Yao; Pengfei Zhu 001; Weihao Li; Meng Cao; Qinghua Hu (Int. J. Comput. Vis., 2024)

Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds. - Huitong Chen; Yu Wang 106; Yan Fan; Guosong Jiang; Qinghua Hu (CVPR, 2025)

Hyperbolic-Euclidean Deep Mutual Learning. - Haifang Cao; Yu Wang 106; Jialu Li; Pengfei Zhu 001; Qinghua Hu (WWW, 2025)

Visible-thermal cross-modality class-incremental learning. - Xinjie Yao; Yingxue Wang; Yu Wang 106; Pengfei Zhu 001; Ruipu Zhao; Weihao Li; Shenglei Pei; Wanyu Lin (Expert Syst. Appl., 2025)

Multi-View Fusion Graph Attention Network for Multilabel Class Incremental Learning. - Anhui Tan; Yu Wang 106; Wei-Zhi Wu 001; Weiping Ding 001; Jiye Liang (Inf. Fusion, 2025)

FN-NET: Adaptive data augmentation network for fine-grained visual categorization. - Shuo Ye; Qinmu Peng; Yiu-ming Cheung; Yu Wang 106; Ziqian Zou; Xinge You (Pattern Recognit., 2025)

CKD: Contrastive Knowledge Distillation From a Sample-Wise Perspective. - Wencheng Zhu; Xin Zhou; Pengfei Zhu 001; Yu Wang 106; Qinghua Hu (IEEE Trans. Image Process., 2025)

Multi-Granularity Weighted Federated Learning for Heterogeneous Edge Computing. - Yunfeng Zhao; Chao Qiu; Shangxuan Cai; Zhicheng Liu; Yu Wang 106; Xiaofei Wang 001; Qinghua Hu (IEEE Trans. Serv. Comput., 2025)

Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering. - Pengfei Zhu 001; Jialu Li; Yu Wang 106; Bin Xiao 002; Jinglin Zhang; Wanyu Lin; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Uncertainty-Aware Superpoint Graph Transformer for Weakly Supervised 3-D Semantic Segmentation. - Yan Fan; Yu Wang 106; Pengfei Zhu 001; Le Hui; Jin Xie 001; Qinghua Hu (IEEE Trans. Fuzzy Syst., 2025)

BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors. - Yu Wang 106; Junxian Mu; Hongzhi Huang; Qilong Wang 001; Pengfei Zhu 001; Qinghua Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Neural Network Observer Based Adaptive Trajectory Tracking Control Strategy of Unmanned Surface Vehicle With Event-Triggered Mechanisms and Signal Quantization. - Jun Ning; Yu Wang 106; C. L. Philip Chen; Tieshan Li (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

SPARK: Simple and Parameter-Free Knowledge Embedding With Fuzzy Cognitive Maps for Class Incremental Learning. - Yu Wang 106; Jiabo Xie; Junyan Zheng; Bingxu Lu; Yanxian Bi; Qinghua Hu (IEEE Trans. Fuzzy Syst., 2025)