13 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2026
When Do Local Score Models Extrapolate Across Size? A Diagnostic Theory and Benchmark
Wenjie Xi
Scientific generative modeling often requires size transfer, where models trained on small systems are evaluated on larger ones. While translation-invariant architectures enable th…
cs.LG2024
VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classification
Wenjie Xi, Rundong Zuo, Alejandro Alvarez +3
Multivariate time series classification is a crucial task in data mining, attracting growing research interest due to its broad applications. While many existing methods focus on d…
cs.LG2024★ 13 cited
RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
Xiaosheng Li, Wenjie Xi, Jessica Lin
Neural networks are widely used in machine learning and data mining. Typically, these networks need to be trained, implying the adjustment of weights (parameters) within the networ…