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Chengshuo Shen

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Extraction of n = 0 pick-up by locked mode detectors based on neural networks in J-TEXT

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Nov 23, 2023
Chengshuo Shen, Jianchao Li, Yonghua Ding, Jiaolong Dong, Nengchao Wang, Dongliang. Han, Feiyue Mao, Da Li, Zhipeng Chen, Zhoujun Yang, Zhongyong Chen, Yuan Pan, J-Text Team

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Feature-based Transferable Disruption Prediction for future tokamaks using domain adaptation

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Sep 11, 2023
Chengshuo Shen, Wei Zheng, Bihao Guo, Dalong Chen, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Biao Shen, Binjia Xiao, Yonghua Ding, Zhongyong Chen, Yuan Pan, J-TEXT team

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Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection

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Mar 27, 2023
Xinkun Ai, Wei Zheng, Ming Zhang, Dalong Chen, Chengshuo Shen, Bihao Guo, Bingjia Xiao, Yu Zhong, Nengchao Wang, Zhoujun Yang, Zhipeng Chen, Zhongyong Chen, Yonghua Ding, Yuan Pan, J-TEXT team

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IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction

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Aug 28, 2022
Chengshuo Shen, Wei Zheng, Yonghua Ding, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Li Gao, Zhipeng Chen, Zhoujun Yang, Zhongyong Chen, Yuan Pan, J-TEXT team

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Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor

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Aug 20, 2022
Wei Zheng, Fengming Xue, Ming Zhang, Zhongyong Chen, Chengshuo Shen, Xinkun Ai, Nengchao Wang, Dalong Chen, Bihao Guo, Yonghua Ding, Zhipeng Chen, Zhoujun Yang, Biao Shen, Bingjia Xiao, Yuan Pan

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