Yongcan Luo

2 accepted papers

2026

SBSDM: A Style-aware Bidirectional Stream Diffusion Model for CT-to-PET Synthesis

Jiahao Zheng, Yu Tang, Caiwen Jiang, Zhanjie Zhang, Yongcan Luo, Dapeng Wu

IJCAI 2026

CT-to-PET synthesis aims to synthesize PET images from the widely available and lower-cost CT scans to address the high cost and additional radiation exposure associated with PET scanning. However, CT-to-PET synthesis faces two key challenges due to the sequential correlation of volumetric imaging:

Cited by 0 Scholar ↗

2023

Memory-Augmented U-Transformer For Multivariate Time Series Anomaly Detection

Shuxin Qin, Yongcan Luo, Gaofeng Tao

ICASSP 2023accepted

Unsupervised anomaly detection for multivariate time series is challenging due to the diversity of anomalies and the increased scale of dimensions. Recently, reconstruction-based methods have played an important role and made impressive progress. However, these methods can easily suffer from overfit…

Cited by 0 Source ↗Scholar ↗