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Kunjin Chen
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Journal Articles
- 2023
- [j6]Jiashu Fang, Kunjin Chen, Chongru Liu, Jinliang He:
An Explainable and Robust Method for Fault Classification and Location on Transmission Lines. IEEE Trans. Ind. Informatics 19(10): 10182-10191 (2023) - 2021
- [j5]Kunjin Chen, Tomás Vantuch, Yu Zhang, Jun Hu, Jinliang He:
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features. IEEE Trans. Smart Grid 12(2): 1602-1614 (2021) - 2020
- [j4]Kunjin Chen, Jun Hu, Yu Zhang, Zhanqing Yu, Jinliang He:
Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks. IEEE J. Sel. Areas Commun. 38(1): 119-131 (2020) - 2019
- [j3]Kunjin Chen, Kunlong Chen, Qin Wang, Ziyu He, Jun Hu, Jinliang He:
Short-Term Load Forecasting With Deep Residual Networks. IEEE Trans. Smart Grid 10(4): 3943-3952 (2019) - 2018
- [j2]Kunjin Chen, Jun Hu, Jinliang He:
A Framework for Automatically Extracting Overvoltage Features Based on Sparse Autoencoder. IEEE Trans. Smart Grid 9(2): 594-604 (2018) - [j1]Kunjin Chen, Jun Hu, Jinliang He:
Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder. IEEE Trans. Smart Grid 9(3): 1748-1758 (2018)
Informal and Other Publications
- 2024
- [i8]Kunlong Chen, Junjun Wang, Zhaoqun Chen, Kunjin Chen, Yitian Chen:
LLM-Powered Ensemble Learning for Paper Source Tracing: A GPU-Free Approach. CoRR abs/2409.09383 (2024) - 2023
- [i7]Kunlong Chen, Liu Yang, Yitian Chen, Kunjin Chen, Yidan Xu, Lujun Li:
GP-NAS-ensemble: a model for NAS Performance Prediction. CoRR abs/2301.09231 (2023) - 2021
- [i6]Yitian Chen, Kunlong Chen, Kunjin Chen, Lin Wang:
DQN Control Solution for KDD Cup 2021 City Brain Challenge. CoRR abs/2108.06491 (2021) - 2020
- [i5]Kunjin Chen, Tomás Vantuch, Yu Zhang, Jun Hu, Jinliang He:
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features. CoRR abs/2011.02336 (2020) - 2019
- [i4]Kunjin Chen, Yu Zhang, Qin Wang, Jun Hu, Hang Fan, Jinliang He:
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring. CoRR abs/1911.07183 (2019) - 2018
- [i3]Kunjin Chen, Kunlong Chen, Qin Wang, Ziyu He, Jun Hu, Jinliang He:
Short-term Load Forecasting with Deep Residual Networks. CoRR abs/1805.11956 (2018) - [i2]Kunjin Chen, Qin Wang, Ziyu He, Kunlong Chen, Jun Hu, Jinliang He:
Convolutional Sequence to Sequence Non-intrusive Load Monitoring. CoRR abs/1806.02078 (2018) - [i1]Kunjin Chen, Jun Hu, Yu Zhang, Zhanqing Yu, Jinliang He:
Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks. CoRR abs/1812.09464 (2018)
Coauthor Index
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