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Yimeng An

2 accepted papers

2026

Unified Time Series Explanations via Semi-Amortized Optimization and Instance-level Multi-Expert Knowledge Distillation

ICML 2026poster

Deep Neural Networks (DNNs) achieve outstanding performance in Time Series Classification (TSC) yet remain opaque "black boxes", hindering their adoption in sensitive domains. While Explainable AI (XAI) aims to bridge this gap, existing TSC XAI methods rely on a single perspective and incur signific…

Cited by 0SourceScholar
2025

WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting

AAAI 2025technical

Time Series Forecasting (TSF) aims at predicting future values for a time series data and plays a crucial role in many real-world applications, e.g., finance, disease spread, or weather predictions. However, it is also a very challenging task due to complex temporal dependencies in the data, especia…

Cited by 0SourcePDFScholar