327 citations · 502 across the 8 of their papers we have counts for
9 papers
LLM-Powered Ensemble Learning for Paper Source Tracing: A GPU-Free Approach
Kunlong Chen, Junjun Wang, Zhaoqun Chen +2
We participated in the KDD CUP 2024 paper source tracing competition and achieved the 3rd place. This competition tasked participants with identifying the reference sources (i.e.,…
GP-NAS-ensemble: a model for NAS Performance Prediction
Kunlong Chen, Liu Yang, Yitian Chen +3
It is of great significance to estimate the performance of a given model architecture without training in the application of Neural Architecture Search (NAS) as it may take a lot o…
DQN Control Solution for KDD Cup 2021 City Brain Challenge
Yitian Chen, Kunlong Chen, Kunjin Chen +1
We took part in the city brain challenge competition and achieved the 8th place. In this competition, the players are provided with a real-world city-scale road network and its tra…
Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features
Kunjin Chen, Tomáš Vantuch, Yu Zhang +2
The detection and characterization of partial discharge (PD) are crucial for the insulation diagnosis of overhead lines with covered conductors. With the release of a large dataset…
Scale- and Context-Aware Convolutional Non-intrusive Load Monitoring
Kunjin Chen, Yu Zhang, Qin Wang +3
Non-intrusive load monitoring addresses the challenging task of decomposing the aggregate signal of a household's electricity consumption into appliance-level data without installi…
Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks
Kunjin Chen, Jun Hu, Yu Zhang +2
This paper develops a novel graph convolutional network (GCN) framework for fault location in power distribution networks. The proposed approach integrates multiple measurements at…