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Zongjian Yu

Showing results (1-10 of 4) with videos related to

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Materials (Basel, Switzerland)|July 28, 2022
Fatigue Damage Behaviors of TRC-Strengthened RC BeamsJie Sheng, Zongjian Yu, Guotao Dou, et al.
Materials (Basel, Switzerland)|March 13, 2024
Investigation of Flexural Bearing Behavior of Corroded RC Strengthened with U-Type TRCWei Xie, Jie Sheng, Zongjian Yu, et al.
Entropy (Basel, Switzerland)|July 27, 2022
Learning from Knowledge Graphs: Neural Fine-Grained Entity Typing with Copy-Generation NetworksZongjian Yu, Anxiang Zhang, Huali Feng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 16, 2022
Multi-granularity heterogeneous graph attention networks for extractive document summarizationYu Zhao, Leilei Wang, Cui Wang, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Materials (Basel, Switzerland)|July 28, 2022
Fatigue Damage Behaviors of TRC-Strengthened RC BeamsJie Sheng, Zongjian Yu, Guotao Dou, et al.
Materials (Basel, Switzerland)|March 13, 2024
Investigation of Flexural Bearing Behavior of Corroded RC Strengthened with U-Type TRCWei Xie, Jie Sheng, Zongjian Yu, et al.
Entropy (Basel, Switzerland)|July 27, 2022
Learning from Knowledge Graphs: Neural Fine-Grained Entity Typing with Copy-Generation NetworksZongjian Yu, Anxiang Zhang, Huali Feng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|September 16, 2022
Multi-granularity heterogeneous graph attention networks for extractive document summarizationYu Zhao, Leilei Wang, Cui Wang, et al.
Pageof 1