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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. · 0 citations
#machine learning Preprint Sep 2026

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

This paper argues that zero-shot TSF should be governed as an evidence-access claim and proposes a source-first taxonomy that separates three primary evidence sources---frozen LLM prior reuse, parametric time-series pretraining, and retrieval-augmented external memory---from the architectures that implement them.

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. · 1 citation · ⚡1

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