I am a PhD student at ETH Zurich at Chair for Mathematical Information Science, which is part of the ETH Foundations of Data Science and the ETH AI Center. I received the M.Sc. degree in Electrical Engineering in 2022 from TU Darmstadt.
My research interests lie in the mathematical theory behind deep learning. Currently I am working on the logical theory of cellular automata and neural networks.
“夜空中最亮的星，请指引我靠近你。”
Publications and Preprints
Multi-neuron unleashes expressivity of ReLU networks under convex relaxation
Yuhao Mao*, Yani Zhang*, and Martin Vechev, arxiv:2410.06816, 2024. (* Equal contribution)
Automated digitization of paper ECG records using convolutional networks: a Faster R-CNN and U-Net approach
Haoliang Shang, Clemens Hutter, and Yani Zhang, CinC 2024, to appear.
Cellular automata, many-valued logic, and deep neural networks
Yani Zhang and Helmut Bölcskei, Bulletin of Symbolic Logic, 2024, submitted.
Extracting formulae in many-valued logic from deep neural networks
Yani Zhang and Helmut Bölcskei, arxiv:2401.12113, 2024.
Direction-of-arrival estimation for correlated sources and low sample size
Yani Zhang, Tianyi Liu, and Marius Pesavento, EUSIPCO 2023.
Distributed robust bayesian cluster enumeration criterion for unsupervised learning
Yani Zhang, Freweyni K Teklehaymanot, Michael Muma, and Abdelhak M Zoubir, IEEE CAMSAP, 2019.
Teaching
Teaching assistant for Neural Network Theory, Autumn 2023
Others
Erdös number: 4