9 citations · 10 across the 5 of their papers we have counts for
6 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…
Convolutional Sequence to Sequence Non-intrusive Load Monitoring
Kunjin Chen, Qin Wang, Ziyu He +3
A convolutional sequence to sequence non-intrusive load monitoring model is proposed in this paper. Gated linear unit convolutional layers are used to extract information from the…
Short-term Load Forecasting with Deep Residual Networks
Kunjin Chen, Kunlong Chen, Qin Wang +3
We present in this paper a model for forecasting short-term power loads based on deep residual networks. The proposed model is able to integrate domain knowledge and researchers' u…
Modeling the Annual Growth Rate of Electricity Consumption of China in the 21st Century: Trends and Prediction
Kunjin Chen, Kunlong Chen
In this paper, the annual growth rate of electricity consumption in China in the first 15 years of the 21st century is modeled using multiple linear regression. Historical data and…