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Wen Shan
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2020 – today
- 2024
- [c15]Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Xingwei Wang:
Limited-Supervised Multi-Label Learning with Dependency Noise. AAAI 2024: 15662-15670 - [c14]Yuan Li, Xiuxu Chen, Yuhai Zhao, Wen Shan, Zhengkui Wang, Guoli Yang, Guoren Wang:
Self-Training GNN-based Community Search in Large Attributed Heterogeneous Information Networks. ICDE 2024: 2765-2778 - [c13]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 - [c12]Lihu Pan, Xiaohua Li, Zhengkui Wang, Rui Zhang, Nan Yang, Wen Shan:
Enhancing Multi-Label Text Classification by Incorporating Label Dependency to Handle Imbalanced Data. IJCNN 2024: 1-8 - [c11]Lihu Pan, Yunting Yang, Zhengkui Wang, Wen Shan, Jiali Yin:
Open-Vocabulary And Multitask Image Segmentation. SAC 2024: 1048-1049 - 2023
- [c10]Lihu Pan, Yunting Yang, Zhengkui Wang, Rui Zhang, Wen Shan, Jiashu Li:
Image Segmentation with Vision-Language Models. CSAI 2023: 233-238 - [c9]Yan Chu, Xianghui Sun, Songhao Jiang, Tianwen Xie, Zhengkui Wang, Wen Shan:
Imbalanced Few-Shot Learning Based on Meta-transfer Learning. ICANN (8) 2023: 357-369 - [c8]Haiyang Wang, Yan Chu, Hui Ning, Zhengkui Wang, Wen Shan:
User Feedback-Based Counterfactual Data Augmentation for Sequential Recommendation. KSEM (3) 2023: 370-382 - 2022
- [j3]Qingchao Zhao, Long Li, Yan Chu, Zhen Yang, Zhengkui Wang, Wen Shan:
Efficient Supervised Image Clustering Based on Density Division and Graph Neural Networks. Remote. Sens. 14(15): 3768 (2022) - [c7]Yan Chu, Jianpeng Guo, Wen Shan, Zhengkui Wang:
EfficientFCOS: An Efficient One-stage Object Detection Model based on FCOS. CSCWD 2022: 617-622 - [c6]Qingchao Zhao, Long Li, Yan Chu, Zhengkui Wang, Wen Shan:
Density Division Face Clustering Based on Graph Convolutional Networks. ICPR 2022: 5017-5023 - 2021
- [c5]Zhengkui Wang, Soumyadeb Chowdhury, Malcolm Yoke Hean Low, Wen Shan:
News Insider: Innovating News Understanding to Improve the Quality of Reading Experience. ACCC 2021: 122-126 - [c4]Qingchao Zhao, Jing Yang, Zhengkui Wang, Yan Chu, Wen Shan, Isfaque Al Kaderi Tuhin:
Clustering Massive-Categories and Complex Documents via Graph Convolutional Network. KSEM 2021: 27-39 - [c3]Yan Chu, Zhengkui Wang, Lina Wang, Qingchao Zhao, Wen Shan:
Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion. KSEM 2021: 209-221
2010 – 2019
- 2016
- [j2]Ruimin Wang, Ligang Liu, Zhouwang Yang, Kang Wang, Wen Shan, Jiansong Deng, Falai Chen:
Construction of Manifolds via Compatible Sparse Representations. ACM Trans. Graph. 35(2): 14:1-14:10 (2016) - 2015
- [j1]Zhige Xie, Kai Xu, Wen Shan, Ligang Liu, Yueshan Xiong, Hui Huang:
Projective Feature Learning for 3D Shapes with Multi-View Depth Images. Comput. Graph. Forum 34(7): 1-11 (2015)
2000 – 2009
- 2008
- [c2]Xuemin Zhang, Renlai Zhou, Bin Yang, Wen Shan, Qin Xu:
An Ergonomic Study of the Efficiency of the Mobile Shortcuts and Page-Turning Keys in Chinese Users. WKDD 2008: 125-130 - 2007
- [c1]Xuemin Zhang, Wen Shan, Qin Xu, Bin Yang, Yun-Feng Zhang:
An Ergonomics Study of Menu-Operation on Mobile Phone Interface. IITA 2007: 247-251
Coauthor Index
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