Author

Kuan-Yu Chen

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Preprint Sep 2026

TSMD: Temporal-Stream Modality Dropout for Robust Video Highlight Detection

Existing multimodal video highlight detectors typically assume that visual, audio, and textual streams are continuously available. In practice, however, inputs may suffer from localized frame missingness or complete-stream outage. We formulate this robustness challenge along two dimensions: temporal missingness, where...

Bo-Yuan Cheng, Kuan-Yu Chen, Po-Han Huang et al. · 0 citations

#machine learning Preprint Oct 2026

DIVINE: Simple Cross-Market Stock Pretraining via Diverse Indicator Reconstruction

Financial time-series pretraining typically learns from masked observations, contrastive relations, or future outcomes---yet existing objectives struggle to simultaneously avoid future-supervision uncertainty and maintain return-prediction alignment. We propose DIVINE (DIVerse INdicator rEconstruction), a simple cross-...

Kuan-Yu Chen, Shu-Cheng Zheng, Yuhui Den et al. · 0 citations

Preprint Aug 2026

Do Time-Series Foundation Models Pay Off for Industrial Monitoring? A Cost-Aware Empirical Study

This work presents a protocol-aware empirical assessment across three settings: a C-MAPSS degradation-risk proxy, normal-only training for anomalous-sound detection on MIMII, and BDG2 forecasting-residual diagnostics with synthetic target perturbations.

Guang-Hua Wen, Kuan-Yu Chen · 0 citations