Institut für Informationsverarbeitung (TNT)

I moved to the Institue of Artificiual Intelligence on July 1st 2022. Please find my latest information on our new webpage.

Difan Deng received his Master's degree in electrical engineering and information technology at TU Darmstadt in 2019. Before that, he studied electronics and information engineering at Huazhong University of Science and Technology and received his bachelor's degree in 2015. Since 2020 he is working towards a Ph.D. as a researcher at the Institut für Informationsverarbeitung.

His research interest is AutoML, including Bayesian Optimization and Neural Architecture Search.

Publications

Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, René Sass, Frank Hutter
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Journal of Machine Learning Research (JMLR) -- MLOSS, Vol. 23, No. 54, pp. 1-9, January 2022
(PDF) BibTeX
Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
Proceedings of the international workshop on Automated Machine Learning (AutoML) at ICML'21, July 2021
(Arxiv.org) BibTeX
Noor Awad, Gresa Shala, Difan Deng, Neeratyoy Mallik, Matthias Feurer, Katharina Eggensperger, André Biedenkapp, Diederick Vermetten, Hao Wang, Doerr Carola, Marius Lindauer, Frank Hutter
Squirrel: A Switching Hyperparameter Optimizer
arxiv, December 2020
(Arxiv.org) BibTeX