Convolutional Sequence to Sequence Non-intrusive Load Monitoring. - Kunjin Chen; Qin Wang 013; Ziyu He; Kunlong Chen; Jun Hu 012; Jinliang He (CoRR, 2018)

A Framework for Automatically Extracting Overvoltage Features Based on Sparse Autoencoder. - Kunjin Chen; Jun Hu 012; Jinliang He (IEEE Trans. Smart Grid, 2018)

Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder. - Kunjin Chen; Jun Hu 012; Jinliang He (IEEE Trans. Smart Grid, 2018)

Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring. - Kunjin Chen; Yu Zhang 005; Qin Wang 013; Jun Hu 012; Hang Fan; Jinliang He (CoRR, 2019)

Short-Term Load Forecasting With Deep Residual Networks. - Kunjin Chen; Kunlong Chen; Qin Wang 013; Ziyu He; Jun Hu 012; Jinliang He (IEEE Trans. Smart Grid, 2019)

Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks. - Kunjin Chen; Jun Hu 012; Yu Zhang 005; Zhanqing Yu; Jinliang He (IEEE J. Sel. Areas Commun., 2020)

DQN Control Solution for KDD Cup 2021 City Brain Challenge. - Yitian Chen; Kunlong Chen; Kunjin Chen; Lin Wang (CoRR, 2021)

Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features. - Kunjin Chen; Tomás Vantuch; Yu Zhang 005; Jun Hu 012; Jinliang He (IEEE Trans. Smart Grid, 2021)

GP-NAS-ensemble: a model for NAS Performance Prediction. - Kunlong Chen; Liu Yang; Yitian Chen; Kunjin Chen; Yidan Xu; Lujun Li 001 (CoRR, 2023)

An Explainable and Robust Method for Fault Classification and Location on Transmission Lines. - Jiashu Fang; Kunjin Chen; Chongru Liu; Jinliang He (IEEE Trans. Ind. Informatics, 2023)

LLM-Powered Ensemble Learning for Paper Source Tracing: A GPU-Free Approach. - Kunlong Chen; Junjun Wang; Zhaoqun Chen; Kunjin Chen; Yitian Chen (CoRR, 2024)