2 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.plasm-ph2026★ 1 cited
DustNET: enabling machine learning and AI models of dusty plasmas
Zhehui Wang, Justin C. Burton, Niklas Dormagen +30
Dusty plasmas are ubiquitous throughout the universe, spanning laboratory and industrial plasmas, fusion devices, planetary environments, cometary comae, and interstellar media. De…
cs.LG2024
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting
Quangao Liu, Ruiqi Li, Maowei Jiang +4
Time series forecasting (TSF) is crucial in fields like economic forecasting, weather prediction, traffic flow analysis, and public health surveillance. Real-world time series data…
cs.LG2024★ 2 cited
Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification
Quangao Liu, Wei Yang, Chen Liang +2
Traditional methods for tabular classification usually rely on supervised learning from scratch, which requires extensive training data to determine model parameters. However, a no…