Junjie Yang

About Me

Since July 2025, I have been a postdoctoral researcher at LPSM, Sorbonne University in collaboration with Califrais, working with Adeline Fermanian(Califrais), Claire Boyer(Paris-Saclay University) and Gérard Biau (Sorbonne University). I work currently on time series forecasting and contextual stochastic optimization.

Before that, I obtained my PhD from Télécom Paris, IP Paris, under the supervision of Florence d’Alché-Buc and Matthieu Labeau. My research focused on structured prediction, with applications in graph prediction. You can find my PhD thesis here.

Previously I earned my Diplôme d’Ingénieur from Ecole d’ingénieurs Paris SJTU and a Master’s degree from Shanghai Jiao Tong University.

Research Interests

I have a broad interest in Machine Learning and am currently focusing on:

• Structure Prediction
• Kernel Methods
• Time Series Forecasting
• Optimal Transport

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