Are Deep Learning Models Practically Good as Promised? A Strategic Comparison of Deep Learning Models for Time Series Forecasting. - Zuokun Ouyang; Philippe Ravier; Meryem Jabloun (EUSIPCO, 2022)

STLformer: Exploit STL Decomposition and Rank Correlation for Time Series Forecasting. - Zuokun Ouyang; Meryem Jabloun; Philippe Ravier (EUSIPCO, 2023)

Rankformer: Leveraging Rank Correlation for Transformer-based Time Series Forecasting. - Zuokun Ouyang; Meryem Jabloun; Philippe Ravier (SSP, 2023)

Magnetic-Field-Based Indoor Positioning Using Temporal Convolutional Networks. - Guanglie Ouyang; Karim Abed-Meraim; Zuokun Ouyang (Sensors, 2023)