3 papers
cs.LG2025
CORAL: Concept Drift Representation Learning for Co-evolving Time-series
Kunpeng Xu, Lifei Chen, Shengrui Wang
In the realm of time series analysis, tackling the phenomenon of concept drift poses a significant challenge. Concept drift -- characterized by the evolving statistical properties…
cs.LG2025
Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
Kunpeng Xu, Lifei Chen, Shengrui Wang
Kernel-based subspace clustering, which addresses the nonlinear structures in data, is an evolving area of research. Despite noteworthy progressions, prevailing methodologies predo…
cs.LG2024
Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences
Kunpeng Xu, Lifei Chen, Shengrui Wang
Identifying and understanding dynamic concepts in co-evolving sequences is crucial for analyzing complex systems such as IoT applications, financial markets, and online activity lo…