Publications

You can also find my publications on my Google Scholar profile.

2023

1. STLformer: Exploit STL decomposition and Rank Correlation for Time Series Forecasting
   Zuokun Ouyang, Meryem Jabloun, & Philippe Ravier
   Proc. 31st EUSIPCO, 2023
2. Rankformer: Leveraging Rank Correlation for Transformer-based Time Series Forecasting
   Zuokun Ouyang, Meryem Jabloun, & Philippe Ravier
   Proc. 22nd IEEE SSP, 2023
3. Magnetic-Field-Based Indoor Positioning Using Temporal Convolutional Networks
   Guanglie Ouyang, Karim Abed-Meraim, & Zuokun Ouyang
   Sensors, 2023

2022

1. 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
   Proc. 30th EUSIPCO, 2022
2. Une comparaison des modèles d’apprentissage profond combinés avec des différentes stratégies pour la prédiction multi-étape des séries temporelles
   Zuokun Ouyang, Philippe Ravier, & Meryem Jabloun
   Proc. 38th GRETSI, 2022

2021

1. STL Decomposition of Time Series Can Benefit Forecasting Done by Statistical Methods but Not by Machine Learning Ones
   Zuokun Ouyang, Philippe Ravier, & Meryem Jabloun
   Engineering Proceedings, 2021

Thesis

1. Ph.D. “Time Series Forecasting: From Econometrics to Deep Learning”. University of Orleans, INSA-CVL, PRISME, 2023.
2. M.Sc. “A Fundamental Study on Deep Learning based Time Series Forecasting”. University of Orleans, INSA-CVL, LIFO, 2018.
3. B.Eng. “A Microphone Array-based System for Sound Source Localization”. Beijing Institute of Technology, 2016.