Hi

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.


BSc
I obtained my BSc at University College London (UCL).
MPhil
I obtained my MPhil at the University of Cambridge, with Fitzwilliam College.
PhD
I am currently a doctoral researcher at the Department of Applied Mathematics and Theoretical Physics, University of Cambridge, with King's College, funded by an AstraZeneca studentship and a Google studentship.







Joy's Research



D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction

Lipei Zhang, Rui Sun, Zhongying Deng, Yanqi Cheng, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.

[paper] [bibitex]


Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation

Chun-Wun Cheng*, Yining Zhao*, Yanqi Cheng, Javier Montoya, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero.

[paper] [bibitex]


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




✪ Give talks at Math+ML+X Seminar at Tsinghua University

  Single-Shot Plug-and-Play Methods for Inverse Problems [25 Nov 2024]

  You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors [30 Dec 2024]

✪ Give talks at Math+ML+X Seminar at University of Cambridge

  Paper review: Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks [1 Jun 2022]

  Surgical Action Triplet Recognition [13 Jul 2022]

  TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation [9 Feb 2023]

  Single-Shot Plug-and-Play Methods for Inverse Problems [28 Nov 2023]

  Present at Math+ML+X Retreat [10 Jan 2024]

✪ Giving talks at Cambridge Imaging Analysis Seminar at University of Cambridge

  Single-Shot Plug-and-Play Methods for Inverse Problems [1 Dec 2023]

✪ Manage social account at Math+ML+X Lab [Oct 2024 - Now]

✪ Manage website for GraphMedIA Tutorial at MICCAI 2025 [Apr 2025]

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

✪ Poster at CHIA conference 2024 [Jun 2024]

✪ Organise and talk at SIAM IS24, Minisymposia: Recent Strides in Deep Inverse Problems: From PDEs/ODEs, Neural Implicit Representations, and Beyond [May 2024]

Poster at ICIAM 2023 [Aug 2023]

Talk at ICIAM 2023, Minisymposia: Deep Implicit and Explicit Models for Inverse Problems: Hybrid Data-Driven Models, Neural ODEs, PDEs and Beyond [Aug 2023]

✪ 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]

✪ Poster at CHIA launch [Feb 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 - Jan 2025]

  Kolmogorov-Arnold Network(KAN) for Image Segmentation [Jul 2024 - Sep 2024] [Jul 2024 - Feb 2025]

  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 - Jan 2024]

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

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



Created by @yanyacheng