Yu Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Semantic Segmentation

Missing Data Imputation

Image Classification

Hierarchical Structures

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Int. J. Mach. Learn. Cybern.

Pattern Recognit.

Publications

Pengfei Zhu, Qian Wang, Yu Wang, Jialu Li, Qinghua Hu
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering. AAAI (2024)
Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu
Exploring Diverse Representations for Open Set Recognition. CoRR (2024)
Yuling Su, Hong Zhao, Yifeng Zheng, Yu Wang
Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making. IEEE Trans. Big Data 10 (4) (2024)
Junyan Zheng, Yu Wang, Shenglei Pei, Qinghua Hu
Exploring and exploiting hierarchical structures for large-scale classification. Int. J. Mach. Learn. Cybern. 15 (6) (2024)
Pengfei Zhu, Xinjie Yao, Yu Wang, Binyuan Hui, Dawei Du, Qinghua Hu
Multiview Deep Subspace Clustering Networks. IEEE Trans. Cybern. 54 (7) (2024)
Mohammed Al-taezi, Yu Wang, Pengfei Zhu, Qinghua Hu, Abdulrahman Al-Badwi
Improved generative adversarial network with deep metric learning for missing data imputation. Neurocomputing 570 (2024)
Yu Wang, Junxian Mu, Pengfei Zhu, Qinghua Hu
Exploring Diverse Representations for Open Set Recognition. AAAI (2024)
Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Hongzhi Huang, Yu Wang, Qinghua Hu, Ming-Ming Cheng
Class-Specific Semantic Reconstruction for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Pengfei Zhu, Jialu Li, Yu Wang, Bin Xiao, Shuai Zhao, Qinghua Hu
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Guosong Jiang, Pengfei Zhu, Yu Wang, Qinghua Hu
OpenMix+: Revisiting Data Augmentation for Open Set Recognition. IEEE Trans. Circuits Syst. Video Technol. 33 (11) (2023)
Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning. CoRR (2023)
Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. IEEE Trans. Multim. 25 (2023)
Zhihao Liu, Yuanyuan Shang, Timing Li, Guanlin Chen, Yu Wang, Qinghua Hu, Pengfei Zhu
Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark. IEEE Trans. Multim. 25 (2023)
Hongzhi Huang, Yu Wang, Qinghua Hu
Building hierarchical class structures for extreme multi-class learning. Int. J. Mach. Learn. Cybern. 14 (7) (2023)
Huitong Chen, Yu Wang, Qinghua Hu
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Bingxu Lu, Qinghua Hu, Yu Wang, Guosheng Hu
RCANet: Row-Column Attention Network for Semantic Segmentation. ICASSP (2022)
Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation. CoRR (2022)
Yu Wang, Zhou Wang, Qinghua Hu, Yucan Zhou, Honglei Su
Hierarchical Semantic Risk Minimization for Large-Scale Classification. IEEE Trans. Cybern. 52 (9) (2022)
Yu Wang, Qinghua Hu, Hao Chen, Yuhua Qian
Uncertainty instructed multi-granularity decision for large-scale hierarchical classification. Inf. Sci. 586 (2022)
Pengfei Zhu, Wanying Zhang, Yu Wang, Qinghua Hu
Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition. Int. J. Softw. Informatics 12 (2) (2022)
Huitong Chen, Yu Wang, Qinghua Hu
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. CoRR (2022)
Yu Zhou, Xiaoni Li, Yucan Zhou, Yu Wang, Qinghua Hu, Weiping Wang
Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification. Pattern Recognit. 124 (2022)
Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. CoRR (2022)
Pengfei Zhu, Zhilin Zhu, Yu Wang, Jinglin Zhang, Shuai Zhao
Multi-granularity episodic contrastive learning for few-shot learning. Pattern Recognit. 131 (2022)
Junwen Pan, Pengfei Zhu, Kaihua Zhang, Bing Cao, Yu Wang, Dingwen Zhang, Junwei Han, Qinghua Hu
Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation. Int. J. Comput. Vis. 130 (5) (2022)
Hong Zhao, Qinghua Hu, Pengfei Zhu, Yu Wang, Ping Wang
A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Mohammed Al-taezi, Pengfei Zhu, Qinghua Hu, Yu Wang, Abdulrahman Al-Badwi
Self-paced hierarchical metric learning (SPHML). Int. J. Mach. Learn. Cybern. 12 (9) (2021)
Yongjuan Ma, Yu Wang, Pengfei Zhu, Junwen Pan, Hong Shi
Get to the Point: Content Classification of Animated Graphics Interchange Formats with Key-Frame Attention. ICIP (2021)
Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. CoRR (2021)
Yucan Zhou, Yu Wang, Jianfei Cai, Yu Zhou, Qinghua Hu, Weiping Wang
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification. CoRR (2020)
Yu Wang, Qinghua Hu, Pengfei Zhu, Linhao Li, Bingxu Lu, Jonathan M. Garibaldi, Xianling Li
Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification. IEEE Trans. Fuzzy Syst. 28 (7) (2020)
Yucan Zhou, Qinghua Hu, Yu Wang
Deep super-class learning for long-tail distributed image classification. Pattern Recognit. 80 (2018)
Jingzhuo Yang, Yu Wang, Qinghua Hu
Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning. ICONIP (3) (2018)
Jingzhuo Yang, Yu Wang, Shenglei Pei, Qinghua Hu
Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data. IJCNN (2018)
Yu Wang, Qinghua Hu, Yucan Zhou, Hong Zhao, Yuhua Qian, Jiye Liang
Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification. ICDM (2017)