Presentations (e.g., Talks/Lectures)

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Welcome to reach out our slides! These slides follow a simple LaTeX template at our open-source GitHub repository (see awesome-beamer). Some basic rules for creating these slides would be: 1) Introducing methodological and theoretical stuff clearly and intuitively; 2) Improving the insight and vision throughout the research presentation. Feel free to contact me if you have any questions or feedback.

2024

• July 11, 2024: Dalian University of Technology, Dalian, China.
  Slides: Laplacian convolutional representation for traffic time series imputation.
  Invited by: Chun Cheng (See talk post in Chinese.)
  

• May 16, 2024: Ryan Wang Lab at Northeastern University, Boston, USA.
  Slides: Modeling temporal correlations and dynamics in spatiotemporal data systems.
  Invited by: Ryan Qi Wang, Weiyu Li
  

• January 11, 2024: Reproducible Research Workshop of the 103rd Transportation Research Board (TRB) Annual Meeting, Washington, D.C., USA.
  Slides: Open-source projects: Machine learning for transportation data imputation and prediction.
  Speakers: Nicolas Saunier, Xinyu Chen
  

2023

• December 28, 2023: SUSTech Forum with the Department of Statistics and Data Science (南方科技大学统计与数据科学系青年学者论坛), Shenzhen, China. (Online)
  Slides: Matrix and tensor models for spatiotemporal traffic data imputation and forecasting.
  

• December 11, 2023: PhD Research Defense, Montreal, Canada.
  Committee: Francesco Ciari, Nicolas Saunier, Lijun Sun, James Goulet, and Guillaume Rabusseau
  Slides: Matrix and tensor models for spatiotemporal traffic data imputation and forecasting.
  

• July 19, 2023: World Conference on Transport Research (WCTR 2023), Montreal, Canada.
  Slides: Laplacian convolutional representation for traffic time series imputation.
  

• May 22, 2023: Southern University of Science and Technology (SUSTech, 南方科技大学), Shenzhen, China.
  Slides: Low-rank matrix and tensor methods for spatiotemporal traffic data modeling.
  

• April 20-21, 2023: Sichuan University (SCU, 四川大学) & University of Electronic Science and Technology of China (UESTC, 电子科技大学), Chengdu, China.
  Slides: Low-rank matrix and tensor methods for spatiotemporal data modeling.
  

• March 9, 2023: Research Group of Transport, Polytechnique Montreal, Montreal, Canada.
  Slides: Low-rank matrix and tensor factorization for speed field reconstruction.
  

2022

• May 24, 2022: IVADO Project Workshop, Montreal, Canada.
  Slides: Spatiotemporal traffic data imputation and forecasting with tensor learning.
  

2021

• March 18, 2021: IFT 6760A: Matrix and tensor factorization techniques for machine learning, University of Montreal & Mila lab.
  Slides: Bayesian temporal factorization for multidimensional time series prediction.