Joint Bernoulli Filtering and MIMO Processing for Detection of Moving Targets in Shallow Ocean Environments. - Huangyu Dai; Xiang Pan; Zhongdi Liu; Peng Zhang; Zhongyong Chen (IEEE Access, 2021)

Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor. - Wei Zheng; Fengming Xue; Ming Zhang; Zhongyong Chen; Chengshuo Shen; Xinkun Ai; Nengchao Wang; Dalong Chen; Bihao Guo; Yonghua Ding; Zhipeng Chen; Zhoujun Yang; et al. (CoRR, 2022)

IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction. - Chengshuo Shen; Wei Zheng; Yonghua Ding; Xinkun Ai; Fengming Xue; Yu Zhong; Nengchao Wang; Li Gao; Zhipeng Chen; Zhoujun Yang; Zhongyong Chen; Yuan Pan; et al. (CoRR, 2022)

Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection. - Xinkun Ai; Wei Zheng; Ming Zhang; Dalong Chen; Chengshuo Shen; Bihao Guo; Bingjia Xiao; Yu Zhong; Nengchao Wang; Zhoujun Yang; Zhipeng Chen; Zhongyong Chen; et al. (CoRR, 2023)

Feature-based Transferable Disruption Prediction for future tokamaks using domain adaptation. - Chengshuo Shen; Wei Zheng; Bihao Guo; Dalong Chen; Xinkun Ai; Fengming Xue; Yu Zhong; Nengchao Wang; Biao Shen; Binjia Xiao; Yonghua Ding; Zhongyong Chen; et al. (CoRR, 2023)

Extraction of n = 0 pick-up by locked mode detectors based on neural networks in J-TEXT. - Chengshuo Shen; Jianchao Li; Yonghua Ding; Jiaolong Dong; Nengchao Wang; Dongliang Han; Feiyue Mao; Da Li; Zhipeng Chen; Zhoujun Yang; Zhongyong Chen; Yuan Pan; et al. (CoRR, 2023)