Author

Hsu-Yung Cheng

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Open access Oct 2026

Learning Constrained Embeddings for Anomaly Region Localization

Industrial Anomaly Detection (IAD) aims to determine whether a product image contains defects and to localize anomalous regions. Since real anomalies are scarce, diverse, and difficult to acquire, many IAD methods rely on synthetic anomalies for training. However, localization performance heavily depends on how well sy...

Ting-Wei Lu, Chih-Chang Yu, Hsu-Yung Cheng · Applied Sciences · 0 citations

Open access Sep 2026

Multi-Granular Embedding and Hybrid Encoder–Decoder Architecture with Temporal Linear Regression Bypass for Sensor-Based Time Series Forecasting in Smart Infrastructure

In this work, we propose a robust deep encoder–decoder neural network that integrates multiple deep sequence models for time series forecasting in sensor-based applications. The proposed approach features a sophisticated input embedding layer that integrates scalar features, position encodings, and multi-granularity ti...

Hsu-Yung Cheng, Huan-Hsuan Lin, Chi-Lun Jiang et al. · Italian National Conference... · 0 citations