Joy Research More








程彦淇
C h e n g ,  Y a n q i
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 particular, I am interested in designing novel knowledge-driven and data-driven models to solve inverse problems, with areas of interest including optimisation, machine learning, and mathematical modelling.

I am fortunate to be supervised by Professor Angelica I Aviles-Rivero and Professor Carola-Bibiane Schönlieb, with grateful acknowledgment for the support provided by an AstraZeneca studentship and a Google studentship.
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Joy's Research


You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors

Yanqi Cheng, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.

[paper] [bibitex]

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Amer Essakine*, Yanqi Cheng*, Chun-Wun Cheng, Lipei Zhang, Zhongying Deng, Lei Zhu, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.

[paper] [bibitex]

Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems

Chaoyan Huang, Zhongming Wu, Yanqi Cheng, Tieyong Zeng, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.

[paper] [bibitex]

Single-Shot Plug-and-Play Methods for Inverse Problems

Yanqi Cheng, Lipei Zhang*, Zhenda Shen*, Shujun Wang, Lequan Yu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.

[website] [paper] [bibitex]

TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations

Zhenda Shen*, Yanqi Cheng*, Raymond H. Chan, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.

[website] [paper] [bibitex]

Traffic Video Object Detection using Motion Prior

Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.

[paper] [bibitex]

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios

Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica Aviles-Rivero.

[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]

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]

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




✪ Organise and talk at GraphMIA Tutorial at MICCAI 2024 [Oct 2024]

✪ Serve as a reviewer at BMVC 2023 [Jun 2023 - Aug 2023]

✪ Manage social account at Cambridge Image Analysis group @CamImaging [Apr 2023 - Oct 2024]

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

✪ Math+ML+X seminar co-organiser [Jan 2023 - Now]

✪ Volunteer at MIUA 2022 [Jul 2022]

✪ Project supervisions:

  ☆ Graph Neural Networks for Medical Image Segmentation [Jul 2024 - Now] [Sep 2024 - Now]

  ☆ Kolmogorov-Arnold Network(KAN) for Image Segmentation [Jul 2024 - Sep 2024] [Jul 2024 - Now]

  ☆ Implicit Neural Representation (INR) [Jun 2023 - Jan 2024] [May 2024 - Oct 2024]

  ☆ Graph Neural Networks for Medical Image Segmentation [May 2023 - Sep 2023]

  ☆ Implicit Neural Representation (INR) [Jun 2023 - Now]

  ☆ Physics-Informed Diffusion Model on Super-Resolution [Jul 2023 - Sep 2023]

  ☆ Deep Plug-and-Play Super-Resolution [Jul 2023 - Oct 2023]



Created by @yanyacheng