Welcome to Yueran’s Pages

Hello, My name is Yueran Pan. In Chinese pinyin order, my names’ capital letters are PY and R, which means Python and R, so I am fated to love data science.

Currently, I am a Ph.D. candidate in Computer Science supervised by Ming Li, jointly trained by Wuhan University and Duke Kunshan University. I achieved MSc Data Science with distinction at the London School of Economics and Political Science and BSc Statistics at Wuhan University. I have two-year research experience in SMIIP Lab at Duke Kunshan University. Most of my studies are about applying data analysis methods to help children with autism. I believe that AI would share my love.

Publications and Papers

International Conference on Pattern Recognition (ICPR) 2020

To standardize the process of ASD screening, we design a ”Responsive Social Smile” protocol and the associated experimental setup. Moreover, we propose a machine learning based assessment framework for early ASD screening. By integrating speech recognition and computer vision technologies, the proposed framework can quantitatively analyze children’s behaviors under well-designed protocols.

Repository

https://github.com/sparklingyueran/Responsive-Social-Smile-Facial-Expression-Recognition

A Multimodal Framework for Automated Teaching Quality Assessment of One-to-many Online Instruction Videos

International Conference on Pattern Recognition (ICPR) 2022

Abstract

We design an evaluation protocol and propose a multimodal machine learning framework for automated teaching quality assessment of one-to-many online instruction videos. Our framework evaluates online teaching quality from five aspects, namely Clarity, Classroom interaction, Technical management of online teaching, Empathy, and Time management. Our method includes mid-level behavior feature extraction, high-level interpretable feature extraction, and supervised learning prediction. dmhxm

Repository

https://github.com/sparklingyueran/Online-Course-Assessment-Framework