Maosheng Yang

Hi! I am a Ph.D. student at TU Delft, advised by Prof. Elvin Isufi and Prof. Geert Leus in the Department of Intelligent Systems. I am also affiliated with Aidro Lab (TU Delft AI Lab Programme). My research interests currently include: signal processing and learning on topological domains (graphs, simplicial complexes); discrete differential and spectral geometry; optimal transport; and machine learning for real-world problems.

Prior to my Ph.D., I obtained my master in Electrical Engineering (cum laude) in the group of Signal Processing Systems at TU Delft. I appreciate the Faculty scholarship of Microelectronics department. For my master thesis, I worked on graph signal processing topics with Dr. Mario Couriño, Prof. Elvin Isufi and Prof. Geert Leus. Even before that, I did my bachelor in communication engineering in Beijing Jiaotong University in China.

Outside of work, I love bouldering, biking and hiking!

Email / CV / Google Scholar / LinkedIn

Updates

May 2024: I gave an invited talk on my PhD work at Applied Math Seminar in Utrecht University.

Mar 2024: I have been selected as one of the two students for a travel fund from G-research to attend the LOGML summer school in July. Appreciate the opportunity very much!

Mar 2024: I gave an invited talk on my PhD work to Computational neuroEngineering Lab in University of Florida. Check the slides here .

Mar 2024: I gave an oral presentation at DEEPK workshop in KU Leuven. Check the slides here .

Feb 2024: I gave a 30-min talk on my work on Simplicial Convolution in AMLab, Amsterdam. Check the slides here.

Jan 2024: Our paper on "Hodge-compositional Edge Gaussian Processes" is accepted by AISTATS 2024. .

Dec 2023: I gave a talk about my work on Simplicial Convolution in Delft AI Energy Lab.

Nov 2023: I gave a talk about my work on Simplicial Convolution in BNAIC 2023 and logAMS 2023.

Oct 2023: A preprint Hodge-compositional Edge Gaussian Processes is out, where we, together with Viacheslav Borovitskiy, built principled Gaussian processes on simplicial complexes based on combinatorial Hodge theory, and applied them in Foreign Currency Exchange, Ocean Currents and Water Supply Networks.

Publications

Hodge-compositional Edge Gaussian Processes
Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi
The 27th International Conference on Artificial Intelligence and Statistics (AISTATS, 2024)
Paper / code / slides / AI Summary (pretty picture and nice summary)

See a full list on my google scholar. To be updated.

Preprints

Hodge-Aware Learning on Simplicial Complexes
Maosheng Yang, Elvin Isufi
arXiv, 2023
Paper / code

Talks

This is a recently updated material on my PhD work Understanding and Learning Simplicial Signals (slides for personal use) I used for some talks. I appreciate the opportunity to present my work in the other research groups, workshops and conferences.

May 2024: Invited talk at Applied Math Seminar in Utrecht University

Mar 2024: Oral presentation at DEEPK workshop in KU Leuven

Mar 2024: Invited talk at Computational neuroEngineering Lab in University of Florida

Feb 2024: Talk at AMLab, Amsterdam

Open Source Project

Participation in the Python module TopoModelX for topological deep learning (check the related overview paper 1 and paper 2), where I implemented two models (SCNN, SCCNN) that we proposed for convolutional learning on simplicial complexes.

Participation in the Python module GeometricKernels. It implements kernels including the heat and Matérn classes on non-Euclidean spaces such as Riemannian manifolds, graphs and meshes, where I implemented kernels on the edge space of graphs or simplicial complexes.

Academic Services

Conference Reviewer: ICASSP, EUSIPCO, ICML, NeurIPS

Journal Reviewer: IEEE TSP, IEEE TSIPN, IEEE SPL, IEEE TNNLS

Teaching Experience

Course notes preparation and teaching assistant for Machine Learning on Graphs Apr 2023 - Jul 2023

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