Yu Wang

63 papers A* 10B 2Misc 1Journal 49Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
FCGNN: Fuzzy Cognitive Graph Neural Networks With Concept Evolution for Few-Shot Learning.
IEEE Trans. Fuzzy Syst.
Linhua Zou, Dongqing Li, Chengxi Jiang, Yu Wang, Hong Zhao
2026 J jnl
Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning.
CoRR
Haifang Cao, Yu Wang, Timing Li, Xinjie Yao, Pengfei Zhu
2025 J jnl
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors.
CoRR
Yu Wang, Junxian Mu, Hongzhi Huang, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025 J jnl
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu Wang, Junxian Mu, Hongzhi Huang, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025 J jnl
Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Jinglin Zhang, Wanyu Lin, Qinghua Hu
2025 J jnl
CKD: Contrastive Knowledge Distillation From a Sample-Wise Perspective.
IEEE Trans. Image Process.
Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, Qinghua Hu
2025 J jnl
FN-NET: Adaptive data augmentation network for fine-grained visual categorization.
Pattern Recognit.
Shuo Ye, Qinmu Peng, Yiu-ming Cheung, Yu Wang, Ziqian Zou, Xinge You
2025 A* conf
Hyperbolic-Euclidean Deep Mutual Learning.
WWW
Haifang Cao, Yu Wang, Jialu Li, Pengfei Zhu, Qinghua Hu
2025 J jnl
Multi-Granularity Weighted Federated Learning for Heterogeneous Edge Computing.
IEEE Trans. Serv. Comput.
Yunfeng Zhao, Chao Qiu, Shangxuan Cai, Zhicheng Liu, Yu Wang, Xiaofei Wang, Qinghua Hu
2025 J jnl
Multi-View Fusion Graph Attention Network for Multilabel Class Incremental Learning.
Inf. Fusion
Anhui Tan, Yu Wang, Wei-Zhi Wu, Weiping Ding, Jiye Liang
2025 J jnl
Neural Network Observer Based Adaptive Trajectory Tracking Control Strategy of Unmanned Surface Vehicle With Event-Triggered Mechanisms and Signal Quantization.
IEEE Trans. Emerg. Top. Comput. Intell.
Jun Ning, Yu Wang, C. L. Philip Chen, Tieshan Li
2025 A* conf
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds.
CVPR
Huitong Chen, Yu Wang, Yan Fan, Guosong Jiang, Qinghua Hu
2025 J jnl
SPARK: Simple and Parameter-Free Knowledge Embedding With Fuzzy Cognitive Maps for Class Incremental Learning.
IEEE Trans. Fuzzy Syst.
Yu Wang, Jiabo Xie, Junyan Zheng, Bingxu Lu, Yanxian Bi, Qinghua Hu
2025 A* conf
Socialized Coevolution: Advancing a Better World through Cross-Task Collaboration.
ICML
Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Ruipu Zhao, Zhoupeng Guo, Weihao Li, Qinghua Hu
2025 J jnl
Uncertainty-Aware Superpoint Graph Transformer for Weakly Supervised 3-D Semantic Segmentation.
IEEE Trans. Fuzzy Syst.
Yan Fan, Yu Wang, Pengfei Zhu, Le Hui, Jin Xie, Qinghua Hu
2025 J jnl
Visible-thermal cross-modality class-incremental learning.
Expert Syst. Appl.
Xinjie Yao, Yingxue Wang, Yu Wang, Pengfei Zhu, Ruipu Zhao, Weihao Li, Shenglei Pei, Wanyu Lin
2024 J jnl
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective.
CoRR
Wencheng Zhu, Xin Zhou, Pengfei Zhu, Yu Wang, Qinghua Hu
2024 J jnl
Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization.
IEEE Trans. Neural Networks Learn. Syst.
Shuo Ye, Qinmu Peng, Wenju Sun, Jiamiao Xu, Yu Wang, Xinge You, Yiu-ming Cheung
2024 A* conf
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning.
AAAI
Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu
2024 A* conf
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering.
AAAI
Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu
2024 J jnl
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering.
CoRR
Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu
2024 A* conf
Exploring Diverse Representations for Open Set Recognition.
AAAI
Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu
2024 J jnl
Exploring Diverse Representations for Open Set Recognition.
CoRR
Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu
2024 J jnl
Exploring and exploiting hierarchical structures for large-scale classification.
Int. J. Mach. Learn. Cybern.
Junyan Zheng, Yu Wang, Shenglei Pei, Qinghua Hu
2024 J jnl
Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making.
IEEE Trans. Big Data
Yuling Su, Hong Zhao, Yifeng Zheng, Yu Wang
2024 J jnl
Improved generative adversarial network with deep metric learning for missing data imputation.
Neurocomputing
Mohammed Al-taezi, Yu Wang, Pengfei Zhu, Qinghua Hu, Abdulrahman Al-Badwi
2024 J jnl
Integrated Heterogeneous Graph Attention Network for Incomplete Multi-modal Clustering.
Int. J. Comput. Vis.
Yu Wang, Xinjie Yao, Pengfei Zhu, Weihao Li, Meng Cao, Qinghua Hu
2024 J jnl
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking.
IEEE Trans. Neural Networks Learn. Syst.
Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu
2024 J jnl
Multiview Deep Subspace Clustering Networks.
IEEE Trans. Cybern.
Pengfei Zhu, Xinjie Yao, Yu Wang, Binyuan Hui, Dawei Du, Qinghua Hu
2024 A* conf
Persistence Homology Distillation for Semi-supervised Continual Learning.
NeurIPS
Yan Fan, Yu Wang, Pengfei Zhu, Dongyue Chen, Qinghua Hu
2024 A* conf
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration.
ICML
Xinjie Yao, Yu Wang, Pengfei Zhu, Wanyu Lin, Jialu Li, Weihao Li, Qinghua Hu
2024 J jnl
The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking.
IEEE Trans. Circuits Syst. Video Technol.
Shuo Ye, Yu Wang, Qinmu Peng, Xinge You, C. L. Philip Chen
2024 A* conf
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective.
NeurIPS
Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu
2023 J jnl
Building hierarchical class structures for extreme multi-class learning.
Int. J. Mach. Learn. Cybern.
Hongzhi Huang, Yu Wang, Qinghua Hu
2023 J jnl
Class-Specific Semantic Reconstruction for Open Set Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
2023 J jnl
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst.
Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen
2023 J jnl
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Shuai Zhao, Qinghua Hu
2023 J jnl
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning.
CoRR
Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu
2023 J jnl
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning.
IEEE Trans. Multim.
Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu
2023 J jnl
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning.
IEEE Trans. Knowl. Data Eng.
Huitong Chen, Yu Wang, Qinghua Hu
2023 J jnl
OpenMix+: Revisiting Data Augmentation for Open Set Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Guosong Jiang, Pengfei Zhu, Yu Wang, Qinghua Hu
2023 J jnl
Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark.
IEEE Trans. Multim.
Zhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang, Qinghua Hu, Pengfei Zhu
2022 J jnl
Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification.
Pattern Recognit.
Yu Zhou, Xiaoni Li, Yucan Zhou, Yu Wang, Qinghua Hu, Weiping Wang
2022 J jnl
Hierarchical Semantic Risk Minimization for Large-Scale Classification.
IEEE Trans. Cybern.
Yu Wang, Zhou Wang, Qinghua Hu, Yucan Zhou, Honglei Su
2022 J jnl
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning.
CoRR
Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu
2022 J jnl
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation.
CoRR
Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu
2022 J jnl
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation.
Int. J. Comput. Vis.
Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu
2022 J jnl
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning.
CoRR
Huitong Chen, Yu Wang, Qinghua Hu
2022 J jnl
Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition.
Int. J. Softw. Informatics
Pengfei Zhu, Wanying Zhang, Yu Wang, Qinghua Hu
2022 J jnl
Multi-granularity episodic contrastive learning for few-shot learning.
Pattern Recognit.
Pengfei Zhu, Zhilin Zhu, Yu Wang, Jinglin Zhang, Shuai Zhao
2022 Misc conf
RCANet: Row-Column Attention Network for Semantic Segmentation.
ICASSP
Bingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu
2022 J jnl
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification.
Inf. Sci.
Yu Wang, Qinghua Hu, Hao Chen, Yuhua Qian
2021 J jnl
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification.
IEEE Trans. Knowl. Data Eng.
Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang
2021 B conf
Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention.
ICIP
Yongjuan Ma, Yu Wang, Pengfei Zhu, Junwen Pan, Hong Shi
2021 J jnl
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking.
CoRR
Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu
2021 J jnl
PQA-Net: Deep No Reference Point Cloud Quality Assessment via Multi-View Projection.
IEEE Trans. Circuits Syst. Video Technol.
Qi Liu, Hui Yuan, Honglei Su, Hao Liu, Yu Wang, Huan Yang, Junhui Hou
2021 J jnl
Self-paced hierarchical metric learning (SPHML).
Int. J. Mach. Learn. Cybern.
Mohammed Al-taezi, Pengfei Zhu, Qinghua Hu, Yu Wang, Abdulrahman Al-Badwi
2020 J jnl
Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification.
IEEE Trans. Fuzzy Syst.
Yu Wang, Qinghua Hu, Pengfei Zhu, Linhao Li, Bingxu Lu, Jonathan M. Garibaldi, Xianling Li
2020 J jnl
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification.
CoRR
Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang
2018 J jnl
Deep super-class learning for long-tail distributed image classification.
Pattern Recognit.
Yucan Zhou, Qinghua Hu, Yu Wang
2018 — conf
Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning.
ICONIP (3)
Jingzhuo Yang, Yu Wang, Qinghua Hu
2018 B conf
Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data.
IJCNN
Jingzhuo Yang, Yu Wang, Shenglei Pei, Qinghua Hu
2017 A* conf
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.
ICDM
Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang