Juntong Chen

About me

I am currently a postdoctoral researcher at the University of Twente, working with Johannes Schmidt-Hieber. Prior to this, I completed my Ph.D. studies at the University of Luxembourg under the supervision of Yannick Baraud in 2023 and spent 5.5 months working as a postdoctoral researcher there. 

Before that, I participated in the Erasmus Mundus joint master program MathMods, during which I had the opportunity to study in Italy, Germany, and France. In 2014, I obtained my bachelor's degree in mathematics and applied mathematics at Xiamen University in China. 

My research mainly focuses on statistical learning theories for neural networks, robust estimation, nonparametric regression in one-parameter exponential families, and change-point detection.  Recently, I have been working on developing the statistical theory for image classification procedures with Johannes Schmidt-Hieber and Sophie Langer.

More detailed information can be found in my CV.

Upcoming activities

• Invited talk at the International Conference on Statistics and Related Fields in Bertinoro, Italy (06/2024,  link)

• Invited talk at the 6th ISNPS in Braga, Portugal (06/2024, link)

• Invited talk at 2024 International Conference on Frontiers of Data Science in Hangzhou, China (07/2024, link)

• Invited talk at the 2nd Joint Conference on Statistics and Data Science in Kunming, China (07/2024, link)

• Invited talk at RSS International Conference 2024 in Brighton, UK (09/2024, link)

• Scientific event on probabilistic and statistical analysis of random networks, stochastic processes and deep neural networks in Nice, France (09/2024)

Publications and preprints

[1] Estimating a regression function in exponential families by model selection. Published in Bernoulli, 30(2), 1669–1693.

[2] Robust estimation of a regression function in exponential families. (with Y. Baraud).  Published in J. Stat. Plan. Inference, 233, 106167.

[3] Estimator selection for regression functions in exponential families with application to change point detection. 

[4] Robust nonparametric regression based on deep ReLU neural networks. Published in J. Stat. Plan. Inference, 233, 106182.

[5] Robust estimation in exponential families: from theory to practice. (Ph.D. dissertation, winner of the 2023 Excellent Thesis Award of the University of Luxembourg) 

[6] A statistical analysis of an image classification problem. (With Sophie Langer and Johannes Schmidt-Hieber). Upcoming.

Talks

*: invited talk

• *Seminar Series on the Mathematics of Data Science, University of Twente (02/2023, link)

• *3-day Meeting of Statisticians in Paris (07/2022, link)

• 2022 IMS Annual Meeting, London (06/2022)

• 5th ISNPS 2022, Cyprus (06/2022, link)

• *Machine Learning Seminar, University of Luxembourg (06/2021, link)

Teaching

Statistical Techniques for TCS/BIT - University of Twente

• Winter semester 1B block of 2023

• Providing lectures and tutoring for undergraduate students majoring in computer science and business information technology

Analysis for Applications I - University of Luxembourg

• Winter semesters of 2020, 2021 and 2022

• Providing exercise classes for undergraduate students in computer science

Math Forge - University of Luxembourg

• Winter and summer semesters of 2019

• Offering mathematical consulting service to university students from different departments