Zhengdao Chen

PhD in Mathematics, Courant Institute of Mathematical Sciences, New York University
(Google Scholar) (GitHub)

Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space Journal of Machine Learning Research, 25(109), 1−65 Zhengdao Chen
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces 40th International Conference on Machine Learning (ICML 2023) Zhengdao Chen
A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks arxiv:2210.16286 Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
On Feature Learning in Neural Networks with Global Convergence Guarantees 10th International Conference on Learning Representations (ICLR 2022) Zhengdao Chen, Eric Vanden-Eijnden, Joan Bruna
A Dynamical Central Limit Theorem for Shallow Neural Networks 34th Conference on Neural Information Processing Systems (NeurIPS 2020) Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden

A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks 11th International Conference on Learning Representations (ICLR 2023) Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie
Learning the Relevant Substructures for Tasks on Graph Data 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021) Lei Chen, Zhengdao Chen, Joan Bruna
On Graph Neural Networks versus Graph-Augmented MLPs 9th International Conference on Learning Representations (ICLR 2021) Lei Chen*, Zhengdao Chen*, Joan Bruna (* indicates joint authorship)
Can Graph Neural Networks Count Substructures? 34th Conference on Neural Information Processing Systems (NeurIPS 2020) Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
On the Equivalence between Graph Isomorphism Testing and Function Approximation with GNNs (code) 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
Supervised Community Detection with Line Graph Neural Networks (code) 7th International Conference on Learning Representations (ICLR 2019) Zhengdao Chen, Lisha Li, Joan Bruna

Symplectic Recurrent Neural Networks (code)
8th International Conference on Learning Representations (ICLR 2020, spotlight)
Zhengdao Chen, Jianyu Zhang, Martin Arjovsky, Léon Bottou
Structure-preserving numerical integrators for Hodgkin-Huxley-type systems SIAM Journal on Scientific Computing, 42(1), B273-B298 Zhengdao Chen, Baranidharan Raman, Ari Stern

Statistical learning and spelling: Older prephonological spellers produce more wordlike spellings than younger prephonological spellers Child Development, 89(4), e431-e443 Rebecca Treiman, Brett Kessler, Kelly Boland, Hayley Clocksin, Zhengdao Chen
Multimodal surface matching with higher-order smoothness constraints NeuroImage, 167, 453-465 Emma C Robinson, Kara Garcia, Matthew F Glasser, Zhengdao Chen, Timothy S Coalson, Antonios Makropoulos, Jelena Bozek, Robert Wright, Andreas Schuh, Matthew Webster, Jana Hutter, Anthony Price, Lucilio Cordero Grande, Emer Hughes, Nora Tusor, Philip V Bayly, David C Van Essen, Stephen M Smith, A David Edwards, Joseph Hajnal, Mark Jenkinson, Ben Glocker, Daniel Rueckert
Engaging and disengaging recurrent inhibition coincides with sensing and unsensing of a sensory stimulus Nature Communications, 8, 15413 Debajit Saha, Wensheng Sun, Chao Li, Srinath Nizampatnam, William Padovano, Zhengdao Chen, Alex Chen, Ege Altan, Ray Lo, Dennis L Barbour, Baranidharan Raman