Teaching

\bigstar - [Lent Term 2022] From Computation to Information, CCA Core Course for PhD Students in Mathematics, University of Cambridge.
\bigstar - [Michaelmas Term 2020] Topics in Machine Learning,  Master IPCV Program  (Erasmus+ Mundus), Université de Bordeaux, France (UBx)  (Guest Scholar).
\bigstar - [Michaelmas Term 2018] From Computation to Information, CCA Core Course for PhD Students in Mathematics, University of Cambridge.
\bigstar - [Michaelmas Term 2017]
From Computation to Information, CCA Core Course for PhD Students in Mathematics, University of Cambridge.


supervision Thesis/Projects Supervisions:

Ongoing Theses Supervisions

🚧🔥 CURRENT PHD THESIS SUPERVISIONS:
\star - [Ongoing — Since Michaelmas Term 2020] [PhD Thesis Co-Supervisor] Lihao Liu,  Unsupervised Medical Image Segmentation. PhD Student in Applied Mathematics, University of Cambridge, UK. (Thesis Co-Supervisor Jointly with C. Schönlieb).

Completed Theses Supervisions

🎓🎉💯 COMPLETED PHD THESES:
\star - [Since Michaelmas Term 2018–2021] [PhD Thesis Co-Supervisor] Sellars, Philip. Minimal Labels, Maximum Gain. Image Classification with Graph-Based Semi-Supervised Learning. PhD Student in Applied Mathematics, University of Cambridge, UK. (Thesis Co-Supervisor Jointly with C. Schönlieb). Now ML Researcher @Darktrace
[Thesis Repository] Viva November 17th 2021. Committee: Xavier Bresson and Joan Lasenby

🎓🎉💯 COMPLETED MPhil/Master THESES:

\star -   [Completed in 2022] [Master Thesis Co-Supervisor] [June-September 2019] Yanqi (Joy) Cheng (Master Student, University of Cambridge). Robust Deep Features for SurgicalAction Triplet Recognition.  (Thesis Co-Supervisor Jointly with C. Schönlieb)
\star -   [Completed in 2019] [Master Thesis Supervisor] [June-September 2019] Marianne de Vriendt (Master Student, University of Cambridge). Learning to Classify Medical Images with Minimal Supervision.  Now @Nabla, Paris Working in ML for Healthcare.

Cambridge Part III Essay:

\star - [Part III Essays 2021] Rethinking Optical Flow via Deep Nets. Jointly with R Ke and  C Schönlieb).
\star - [Part III Essays 2020]
Walking Deeper on Dynamic Graphs: Learning Latent Representations with Random Walks for Image Classification. Jointly with D Heydecker and C Schönlieb).

Current Project Supervisions:

\star - [Cambridge Visitor] [July 2022 —  ] Jean Prost  (University of Bourdeaux) Working on HVAE for Image Restoration. Joint Supevision with C-B Schönlieb
\star - [Cambridge Visitor] [July 2022 —  ] Jing Zou  (UPoly HK) Working on Image Registration Joint Supervision with C-B Schönlieb
\star - [Cambridge Visitor] [July 2022 —  ] Iman Simo  (University of Cambridge) Working on the Robustness of Contrastive Learning. Joint Supevision with S Dittmer & C-B Schönlieb
\star - [Cambridge Visitor] [July 2022 —  ] Zhongying  Deng    (University of Surrey) Working on Semi-Supervised Semantic Segmentation. Joint Supevision with R. Ke & C-B Schönlieb
\star - [Cambridge Visitor] [May 2022 —  ] Joy Cheng  (University of Cambridge)  Working on Triplet Surgical Recognition. Joint Supevision with L. Liu & C-B Schönlieb
\star -
[Cambridge Visitor] [Nov 2021 —  ] Yijun Yang (Shandong University) –   Jointly supervision  with S Wang  and C-B Schönlieb. Working in Domain Generalisation for classifying mammographs.

Past Supervisions:

\star - [Cambridge Visitor] [Summer Project 2022 ] Sam Cheng  (CityU)  Working on Second Order Neural ODEs. Joint Supevision with C Runkel & C-B Schönlieb
\star - [Summer Project 2022]  Mickael Assaraf  (ENS Paris-Saclay)  Working on Geometric Deep Learning 
\star - [Research Visit 2021] Emma Wang  (CUHK) Learning to Classify Mammograms
\star -
[Summer Project 2021] Wei Tang  (Student in Mathematics, CityU, HK). Medical Image Skeletonisation
\star -
[Summer Project 2021]  Hugo Blanc (ENSTA-Paris). Graph based Semi-Supervised Classification for Hyperspectral data

\star - [Summer Project 2020] Olivia Hu  (Student in Mathematics, University of Cambridge). Plug-and-Play Algorithms for Super Resolution. Award Funding: Cambridge Summer Research in Mathematics Programme (SRIM, 2020) (Jointly Supervision with Kaixuan Wei)
\star - [Summer Project 2020]  Jiyang Du (Student in Mathematics, University of Cambridge). Plug-and-Play Algorithms for Super Resolution. Award Funding: Cambridge Summer Research in Mathematics Programme (SRIM, 2020) (Jointly Supervision with Jingwei Liang)
\star -  [Summer Project 2020] Zhuqing Li  (Student in Mathematics from City U, HK)
\star - [Cambridge Visitor]
[July 2019 — Feb 2020 ] Kaixuan Wei (Beijing Institute of Technology) –   Jointly supervision  with Jingwei Liang. Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems.
\star - [2017 — May 2020] Alsaleh, Samar M. PhD Student in Computer Science, The George Washington University, USA.  — Congrats for your graduation!
\star - [Summer Project 2019]  Jonathan Ang (Student in Mathematics, University of Cambridge, UK. Awared Funding: Cambridge Summer Research in Mathematics Programme (SRIM, 2019)).  Walking Deeper on Graphs: Learning Latent Representations Via DeepWalk Approach.  (Jointly supervision w/ Daniel Heydecker and Michal Valko).
$latex \star – $[Cambridge Visitor] [June — September 2019] Yao Yuan (National University of Singapore (NUS)).
\star - [Cambridge Visitor] [June — September 2019] Tao Wei (State University of New York at Buffalo, USA).
\star - [Summer Project 2019] Jianchao Zhang (Student in Mathematics from City U, HK, summer student). Superpixels Segmentation.
\star - [PhD Cambridge Student] [Michaelmas Term 2018- August 2019] Corona, Veronica. Variational Multi-Task Methods (Reconstruction/Registration/Super-Resolution) PhD Student in Mathematics, University of Cambridge, UK. (Jointly supervision w/ Noemi Debroux)
\star - [Cambridge Summer Project Visitor] [June-July 2019] Timothée Schmoderer (PhD Student in Mathematics, l’INSA de Rouen, France) Joint Hybrid Variational Models. (Jointly supervision w/ Noemi Debroux).
\star - [Summer Project 2018] Zhu, Caroline. Undegraduate Student in Mathematics, University of Cambridge, UK. Awared Funding: Cambridge Summer Research in Mathematics Programme (SRIM, 2018).
\star - [PhD Cambridge Student] [Michaelmas Term 2017] Heydecker, Daniel. PhD Student in Mathematics, University of Cambridge, UK. Variational Methods for Computational Photography.
\star - [PhD Cambridge Student][Michaelmas Term 2017] Maierhofer, Georg. PhD Student in Mathematics, University of Cambridge, UK. Variational Methods for Computational Photography.