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Yejiang Wang
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2020 – today
- 2024
- [j3]Yejiang Wang
, Yuhai Zhao
, Zhengkui Wang
, Chengqi Zhang
, Xingwei Wang
:
Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6509-6524 (2024) - [c5]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang:
Limited-Supervised Multi-Label Learning with Dependency Noise. AAAI 2024: 15662-15670 - [c4]Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Wen Shan, Miaomiao Huang, Meixia Wang, Min Huang, Xingwei Wang:
Towards Robust Multi-Label Learning against Dirty Label Noise. IJCAI 2024: 5581-5589 - 2023
- [j2]Meixia Wang
, Yuhai Zhao
, Yejiang Wang
, Tongze Xu, Yiming Sun
:
Image emotion multi-label classification based on multi-graph learning. Expert Syst. Appl. 231: 120641 (2023) - [j1]Miaomiao Huang, Yuhai Zhao
, Yejiang Wang, Fazal Wahab
, Yiming Sun, Chen Chen:
Multi-graph multi-label learning with novel and missing labels. Knowl. Based Syst. 276: 110753 (2023) - [c3]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang:
Robust Self-Supervised Multi-Instance Learning with Structure Awareness. AAAI 2023: 10218-10225 - [c2]Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li:
GALOPA: Graph Transport Learning with Optimal Plan Alignment. NeurIPS 2023 - 2021
- [c1]Yuhai Zhao, Yejiang Wang, Zhengkui Wang, Chengqi Zhang
:
Multi-graph Multi-label Learning with Dual-granularity Labeling. KDD 2021: 2327-2337 - 2020
- [i1]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang:
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning. CoRR abs/2012.10650 (2020)
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