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2020 – today
- 2024
[j1]Ke Liu
, Kaifan Yang, Shangde Gao:
A periodicity aware transformer for crystal property prediction. Neural Comput. Appl. 36(12): 6827-6838 (2024)- 2023
- [c6]Ke Liu, Shangde Gao, Kaifan Yang, Yuqiang Han:
PCVAE: A Physics-informed Neural Network for Determining the Symmetry and Geometry of Crystals. IJCNN 2023: 1-8 - [c5]Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He:
E(2)-Equivariant Vision Transformer. UAI 2023: 2356-2366 - [i2]Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He:
E(2)-Equivariant Vision Transformer. CoRR abs/2306.06722 (2023) - [i1]Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu:
S2SNet: A Pretrained Neural Network for Superconductivity Discovery. CoRR abs/2306.16270 (2023) - 2022
- [c4]Ke Liu, Kaifan Yang, Jiahong Zhang, Renjun Xu:
S2SNet: A Pretrained Neural Network for Superconductivity Discovery. IJCAI 2022: 5101-5107
2010 – 2019
- 2018
- [c3]Shunjiang Wang, Baoming Pu, Chang Liu, Kaifan Yang, Zhen Zhang, Yuxiu Zang, Xiao Zhang:
Research and Application of Computer Intelligent Generation Technology for Grid Dispatching Interval Diagram. ICIA 2018: 627-631 - [c2]Weichun Ge, Shunjiang Wang, Zhen Zhang, Kaifan Yang, Qianwei Liu, Anlong Su:
The Method of High Speed Railway Load Ultra-Short-Term Forecast Based on Dispatching and Control Cloud Platform. ICIA 2018: 722-727 - [c1]Yuxiu Zang, Yan Zhao, Weichun Ge, Su Anlong, Shunjiang Wang, Yujue Xia, Deren Zhao, Detian Zhang, Kaifan Yang:
Multi-domain power generation control strategy based on conventional AGC. ICIA 2018: 1379-1383
Coauthor Index
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