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Kezhi Mao
Publications
- 2021
- [c39]Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See:
ACT: an Attentive Convolutional Transformer for Efficient Text Classification. AAAI 2021: 13261-13269 - 2019
- [j39]Dongzhe Wang, Kezhi Mao:
Task-generic semantic convolutional neural network for web text-aided image classification. Neurocomputing 329: 103-115 (2019) - [j36]Dongzhe Wang, Kezhi Mao:
Learning Semantic Text Features for Web Text-Aided Image Classification. IEEE Trans. Multim. 21(12): 2985-2996 (2019) - 2018
- [j33]Rui Zhao, Dongzhe Wang, Ruqiang Yan, Kezhi Mao, Fei Shen, Jinjiang Wang:
Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks. IEEE Trans. Ind. Electron. 65(2): 1539-1548 (2018) - [c35]Dongzhe Wang, Kezhi Mao:
Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks. DSC 2018: 685-690 - 2017
- [c33]Dongzhe Wang, Kezhi Mao, Gee Wah Ng:
Convolutional neural networks and multimodal fusion for text aided image classification. FUSION 2017: 1-7 - 2016
- [c28]Dongzhe Wang, Kezhi Mao, Gee Wah Ng, Tien Pham:
Adaptive multimodal fusion with web resources for scene classification. FUSION 2016: 114-121 - 2015
- [c24]Dongzhe Wang, Kezhi Mao, Gee Wah Ng:
Improving scene classification by fusion of training data and web resources. FUSION 2015: 823-829
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