Author

Chen-Xi Liu

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Conference Open access Sep 2026

Multi-View Ensemble for Time Series Anomaly Detection via Coupling Flows

Time series anomaly detection faces a critical challenge that different anomaly types require different detection mechanisms, yet single methods are inherently limited by their design biases. We propose FlowFuse, a multi-view ensemble framework with coupling flow-based score fusion for time series anomaly detection. Fl...

Wanghui Qiu, Chen-Xi Liu, Shiyan Hu et al. · Proceedings of the Thirty-Fi... · 0 citations

#machine learning Preprint Sep 2026

Tracing the Evidence Behind Zero-Shot Time-Series Forecasting: A Source-First Taxonomy and Audit Framework

Zero-shot time-series forecasting (TSF) is often described as forecasting without target-specific parameter updates, but that training-status condition does not specify what evidence the system may use. A frozen language model prompted with serialized values, a time-series model pretrained on broad forecasting corpora,...

De-Lu Kong, Wan-Yun Ling, Chen-Xi Liu et al. · 0 citations

#machine learning Preprint Aug 2026

Decoupling Perception from Description: Computation-Grounded Representation Alignment between Multivariate Time Series and Language

CGTime, the 4B-parameter computation-grounded time-series-language model, decoupling perception from description, outperforms far larger general-purpose models on multivariate understanding tasks and attains the best multivariate fact score on a held-out benchmark.

Xinran Feng, Yi Xie, Chao Zhang et al. · 0 citations