程彦淇
Joy 📧

Hello! Welcome to Joy's page for looking at more interesting research I am doing!

My research lies at the intersection of applied mathematics and machine learning for large-scale real-world problems. In particularly, I am interested in combining knowledge-driven and data-driven modelling. I have been working on surgical data science and traffic flow analysis, which are large-scale problems.
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness

Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Aviles-Rivero.

[website] [paper] [bibitex]

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation

Zhongying Deng, Yanqi Cheng, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schonlieb, and Angelica I Aviles-Rivero.

[website] [paper] [bibitex]

Mathematical modelling of the development of the vertebrate neural tube

Yanqi Cheng, Supervisor: Prof. Karen M. Page

GCHQ Prize Winner at Tomorrow's Mathematicians Today 2021 Conference [TMT2021]







More about Joy





✪ Serve as a reviewer at BMVC 2023 [April 2023 - Now]

✪ Manage social account at Cambridge Image Analysis group @CamImaging [April 2023 - Now]

✪ Manage website for GrapHMedIA Tutorial at MICCAI 2023 [April 2023]

✪ Volunteer at MIUA 2022 [July 2022]