Multimodal surface matching with higher-order smoothness constraints. - Emma C. Robinson; Kara Garcia; Matthew F. Glasser; Zhengdao Chen; Timothy S. Coalson; Antonios Makropoulos; Jelena Bozek; Robert Wright; Andreas Schuh; Matthew A. Webster; Jana Hutter; Anthony Price; et al. (NeuroImage, 2018)

Supervised Community Detection with Line Graph Neural Networks. - Zhengdao Chen; Lisha Li; Joan Bruna (ICLR (Poster), 2019)

On the equivalence between graph isomorphism testing and function approximation with GNNs. - Zhengdao Chen; Soledad Villar; Lei Chen 062; Joan Bruna (NeurIPS, 2019)

Symplectic Recurrent Neural Networks. - Zhengdao Chen; Jianyu Zhang; Martín Arjovsky; Léon Bottou (ICLR, 2020)

Can Graph Neural Networks Count Substructures? - Zhengdao Chen; Lei Chen 062; Soledad Villar; Joan Bruna (NeurIPS, 2020)

A Dynamical Central Limit Theorem for Shallow Neural Networks. - Zhengdao Chen; Grant M. Rotskoff; Joan Bruna; Eric Vanden-Eijnden (NeurIPS, 2020)

Structure-Preserving Numerical Integrators for Hodgkin-Huxley-Type Systems. - Zhengdao Chen; Baranidharan Raman; Ari Stern (SIAM J. Sci. Comput., 2020)

Learning the Relevant Substructures for Tasks on Graph Data. - Lei Chen 062; Zhengdao Chen; Joan Bruna (ICASSP, 2021)

On Graph Neural Networks versus Graph-Augmented MLPs. - Lei Chen 062; Zhengdao Chen; Joan Bruna (ICLR, 2021)

On feature learning in neural networks with global convergence guarantees. - Zhengdao Chen; Eric Vanden-Eijnden; Joan Bruna (ICLR, 2022)

A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks. - Zhengdao Chen; Eric Vanden-Eijnden; Joan Bruna (CoRR, 2022)

A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. - Xinyi Wu 003; Zhengdao Chen; William Wang; Ali Jadbabaie (CoRR, 2022)

A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks. - Xinyi Wu 003; Zhengdao Chen; William Wei Wang; Ali Jadbabaie (ICLR, 2023)

Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces. - Zhengdao Chen (ICML, 2023)

Semantic Routing via Autoregressive Modeling. - Eric Zhao 003; Pranjal Awasthi; Zhengdao Chen; Sreenivas Gollapudi; Daniel Delling (NeurIPS, 2024)

Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space. - Zhengdao Chen (J. Mach. Learn. Res., 2024)

On the Interpolation Effect of Score Smoothing. - Zhengdao Chen (CoRR, 2025)