3 papers
eess.SP2025
Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols
Yuqi Li, Han Zhang, Xiaofan Gui +10
Battery degradation is governed by complex and randomized cyclic conditions, yet existing modeling and prediction frameworks usually rely on rigid, unchanging protocols that fail t…
cs.LG2024
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models
Xumeng Wen, Han Zhang, Shun Zheng +2
Tabular data is foundational to predictive modeling in various crucial industries, including healthcare, finance, retail, sustainability, etc. Despite the progress made in speciali…
cs.LG2024
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining
Chenguo Lin, Xumeng Wen, Wei Cao +4
Recent research on time-series self-supervised models shows great promise in learning semantic representations. However, it has been limited to small-scale datasets, e.g., thousand…