Josef Hoppe
PhD Student
Bio
I am currently a PhD Student in Michael T. Schaub’s Group at RWTH Aachen University.
Previously, I also obtained my Bachelor’s and Master’s in Computer Science at RWTH University. My master’s thesis led to my first (joint) publication on passenger prediction in public transport, but my focus has since shifted toward graph signal processing and algebraic topology. In that area, I am proud to report that our paper Representing Edge Flows on Graphs via Sparse Cell Complexes received the Best Paper award at the 2023 Learning on Graphs Conference. I am also interested in higher-order networks more generally; here, I have been contributing to TopoX.
In my free time, I am active in the german-language debating scene, more specifically, the debating club Aachen. Recently, I organized the Western German Debating Championship (WDM 2024).
Publications
Representing Edge Flows on Graphs via Sparse Cell Complexes
Improving the Prediction of Passenger Numbers in Public Transit Networks by Combining Short-Term Forecasts With Real-Time Occupancy Data
Cite Representing Edge Flows on Graphs via Sparse Cell Complexes
@InProceedings{hoppe2023representing,
title = {Representing Edge Flows on Graphs via Sparse Cell Complexes},
author = {Hoppe, Josef and Schaub, Michael T},
booktitle = {Proceedings of the Second Learning on Graphs Conference},
pages = {1:1--1:22},
year = {2024},
editor = {Villar, Soledad and Chamberlain, Benjamin},
volume = {231},
series = {Proceedings of Machine Learning Research},
month = {27--30 Nov},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v231/hoppe24a/hoppe24a.pdf},
url = {https://proceedings.mlr.press/v231/hoppe24a.html},
}
Cite Improving the Prediction of Passenger Numbers in Public Transit Networks by Combining Short-Term Forecasts With Real-Time Occupancy Data
@ARTICLE{10057448,
author={Hoppe, Josef and Schwinger, Felix and Haeger, Henrik and Wernz, Jonas and Jarke, Matthias},
journal={IEEE Open Journal of Intelligent Transportation Systems},
title={Improving the Prediction of Passenger Numbers in Public Transit Networks by Combining Short-Term Forecasts With Real-Time Occupancy Data},
year={2023},
volume={4},
number={},
pages={153-174},
doi={10.1109/OJITS.2023.3251564}}