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Junru Zhang

2 accepted papers

2026

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection

ICML 2026poster

Time-series anomaly detection (TSAD) with multimodal large language models (MLLMs) is an emerging area, yet a persistent challenge remains: MLLMs rely on coarse time-series heuristics but struggle with multi-dimensional, detailed reasoning, which is vital for understanding complex time-series data. …

Cited by 0SourceScholar
2025

Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting

AAAI 2025technical

In long-term series forecasting (LTSF), it is imperative for models to adeptly discern and distill from historical time series data to forecast future states. Although Transformer-based models excel at capturing long-term dependencies in LTSF, their practical use is limited by issues like computatio…