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Dalong Chen
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2020 – today
- 2024
- [c1]Dalong Chen, Jianjia Zhang, Wei-Shi Zheng, Ruixuan Wang:
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. AAAI 2024: 1019-1027 - 2023
- [i4]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:
Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection. CoRR abs/2303.14965 (2023) - [i3]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:
Feature-based Transferable Disruption Prediction for future tokamaks using domain adaptation. CoRR abs/2309.05361 (2023) - 2022
- [i2]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:
Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor. CoRR abs/2208.09594 (2022) - 2021
- [i1]Jinxiang Zhu, Cristina Rea, Robert S. Granetz, Earl S. Marmar, Kevin J. Montes, Ryan Sweeney, Roy A. Tinguely, Dalong Chen, Biao Shen, Bingjia Xiao, David Humphreys, Jayson Barr, Orso-Maria Meneghini:
Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks. CoRR abs/2109.08956 (2021)
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last updated on 2024-10-07 22:11 CEST by the dblp team
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