Ph.D., Associate Professor, Tianjin Key Laboratory of Machine Learning, School of Artificial Intelligence, College of Intelligence and Computing, Tianjin University (TJU) No. 135 Yaguan Road, Jinnan District, Tianjin City, P.R. China. E-mail: wang.yu AT tju.edu.cn

News!

[2024/02]  "Multi-view deep subspace clustering networks" has been published on IEEE Transactions on Cybernetics (TCYB).
[2024/01]  "Exploring diverse representations for open set recognition" has been published on Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
[2024/01]  "Every node is different: dynamically fusing self-supervised tasks for attributed graph clustering" has been published on Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
[2024/01]  "Dynamic sub-graph distillation for robust semi-supervised continual learning" has been published on Proceedings of the AAAI Conference on Artificial Intelligence (AAAI).
[2023/12]  "Few-shot learning with multi-granularity knowledge fusion and decision-making" has been published on IEEE Transactions on Big Data (TBD).
[2023/12]  "Industrial big data analytical system in industrial cyber-physical systems based on coarse-to-fine deep network" has been published on IEEE Transactions on Industrial Cyber-Physical Systems (TICPS).
[2023/07]  "Coarse-to-fine: progressive knowledge transfer based multi-task convolutional neural network for intelligent large-scale fault diagnosis" has been published by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
[2023/06]  Our team has won the championship of CVPR 2023 Open World Object Discovery Challenge.
[2023/06]  Our team has won the runner up of CVPR 2023 Continual Learning Challenge.
[2023/04]  "Class-specific semantic reconstruction for open set recognition" has been published on IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
[2023/04]  "Multi-granularity regularized re-balancing for class incremental learning" has been published on IEEE Transactions on Knowledge and Data Engineering (TKDE).
[2023/02]  "Hierarchical semantic risk minimization for large-scale classification" has been published on IEEE Transactions on Cybernetics (TCYB).

Bio

Wang Yu (王煜) is currently an associate professor at Tianjin University (TJU) and Tianjin Key Laboratory of Machine Learning led by Prof. Hu Qinghua (胡清华). He received BA, ME, and Ph.D degrees from Tianjin University. His researches lie in data mining and machine learning in artificial intelligence, including multi-granularity classification, open-set recognition, incremental learning, and their applications to image classification and fault diagnosis of complex systems. He has published many papers in highly regarded journals and conferences, such as IEEE TPAMI, IEEE TKDE, IEEE TNNLS, IEEE TCYB, etc.

Call for graduate and undergraduate students! Hope you are hardworking, determined, and have basic programming skills and mathematics knowledge. You can receive detailed supervision on research and would have a promising career. Feel free to contact me via email.

Selected Publications

[TPAMI CCF A]   Class-specific semantic reconstruction for open set recognition IEEE Transactions on Pattern Analysis and Machine Intelligence (2023). Hongzhi Huang, Yu Wang* Qinghua Hu*, and Ming-Ming Cheng. [Paper] [Code]

[AAAI CCF A]   Exploring diverse representations for open set recognition Proceedings of the AAAI Conference on Artificial Intelligence (2024). Yu Wang, Junxian Mu, Pengfei Zhu, and Qinghua Hu. [Paper] [Code]

[AAAI CCF A]   Dynamic sub-graph distillation for robust semi-supervised continual learning Proceedings of the AAAI Conference on Artificial Intelligence (2024). Yan Fan, Yu Wang*, Pengfei Zhu, and Qinghua Hu. [Paper] [Code]

[TKDE CCF A]   Multi-granularity regularized re-balancing for class incremental learning IEEE Transactions on Knowledge and Data Engineering (2023). Huitong Chen, Yu Wang*, and Qinghua Hu. [Paper] [Code]

[TCYB CAS-JCR Q1 Top]   Hierarchical semantic risk minimization for large-scale classification IEEE Transactions on Cybernetics (2023). Yu Wang, Zhou Wang, Qinghua Hu, Yucan Zhou, and Honglei Su. [Paper]

[TNNLS CAS-JCR (中科院分区) Q1 Top]   Collaborative decision-reinforced self-supervision for attributed graph clustering IEEE Transactions on Neural Networks and Learning Systems (2022). Pengfei Zhu, Jialu Li, Yu Wang*, Bin Xiao, Shuai Zhao, and Qinghua Hu. [Paper] [Code]

[AAAI CCF A]   Every node is different: dynamically fusing self-supervised tasks for attributed graph clustering Proceedings of the AAAI Conference on Artificial Intelligence (2024). Pengfei Zhu, Qian Wang, Yu Wang*, Jialu Li, and Qinghua Hu. [Paper] [Code]

[TNNLS CAS-JCR Q1 Top]   Coarse-to-fine: progressive knowledge transfer based multi-task convolutional neural network for intelligent large-scale fault diagnosis IEEE Transactions on Neural Networks and Learning Systems (2023). Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, and C. L. Philip Chen. [Paper] [Code]

[软件学报 CCF A]   考虑多粒度类相关性的对比式开放集识别方法 软件学报 (2022). 朱鹏飞, 张琬迎, 王煜*, 胡清华. [Paper]

[TMM CAS-JCR Q1 Top]   Latent heterogeneous graph network for incomplete multi-view learning IEEE Transactions on Multimedia (2022). Pengfei Zhu, Xinjie Yao, Yu Wang*, Meng Cao, Binyuan Hui, Shuai Zhao, and Qinghua Hu. [Paper] [Code]

[TFS CAS-JCR Q1 Top]   Deep fuzzy tree for large-scale hierarchical visual classification IEEE Transactions on Fuzzy Systems (2020). Yu Wang, Qinghua Hu, Pengfei Zhu, Linhao Li, Bingxu Lu, Jonathan G. Garibaldi, and Xianlin Li. [Paper]

[PR CAS-JCR Q1 Top]   Multi-granularity episodic contrastive learning for few-shot learning Pattern Recognition (2022). Pengfei Zhu, Zhilin Zhu, Yu Wang*, Jinglin Zhang, and Shuai Zhao. [Paper]

[INS CAS-JCR Q1 Top]   Uncertainty instructed multi-granularity decision for large-scale hierarchical classification Information Sciences (2022). Yu Wang, Qinghua Hu, Hao Chen, and Yuhua Qian. [Paper]

Service

He serves as a reviewer of:

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

• IEEE Transactions on Image Processing (TIP)

• IEEE Transactions on Cybernetics (TCYB)

• IEEE Internet of Things Journal (IoTJ)

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• IEEE International Conference on Computer Vision (ICCV)

• etc