CV

Postdoctoral researcher

Institution: Department of Computer Science and Technology, Tsinghua University.

Supervisor: Prof. Peng Cui.

Postdoctoral researcher

Institution: RobotLearn Team, Inria Grenoble-Rhône-Alpes.

Supervisor: Dr. Xavier Alameda-Pineda.

PhD

Institution: RobotLearn Team, Inria Grenoble-Rhône-Alpes.

Supervisor: Dr. Xavier Alameda-Pineda, Prof. Laurent Girin.

Thesis: Deep latent-variable generative models for multimedia processing.

M.S. in System Engineering

Institution: École Centrale de Pékin, Beihang University.

Supervisor: Prof. Lei Yu.

Thesis: Cloud Computing Center Workloads Simulation Based on Time Series Generation.

GPA: 3.75/4.00

Engineer's Degree

Institution: CentraleSupélec (Cursus Centrale)

GPA: 3.60/4.00

B.S. in Information and Computer Science

Institution: École Centrale de Pékin, Beihang University

GPA: 3.90/4.00

Machine Learning Research Intern

EM Data

Precipitation nowcasting radar map sequences prediction with deep generative models such as GAN.

Machine Learning Research Intern

Walnut Algorithm

Statistical studies of Limit Order Book data, building trading strategies with machine learning algorithms.

Artificial Intelligence Engineer Intern

Schlumberger

Unsupervised drill bit speed data pattern recognition and prediction based on time series clustering.

Software Engineer Intern

Schlumberger

Software algorithm analysis, fluid mechanic problem analysis using Bernoulli equation.

Machine Learning Summer School

Lectures on various topics which are at the core of modern Machine Learning, from fundamentals to state-of-the-art practice.

PRAIRIE / MIAI Aritificial Intelligence Summer School

Lectures conducted by renowned experts in different areas of artificial intelligence, including computer vision, machine learning, natural language processing, robotics, and healthcare.