SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator. - Shunwang Gong; Lei Chen 062; Michael M. Bronstein; Stefanos Zafeiriou (ICCV Workshops, 2019)

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

Can Graph Neural Networks Count Substructures? - Zhengdao Chen; Lei Chen 062; Soledad Villar; Joan Bruna (NeurIPS, 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 Gradient Descent Convergence beyond the Edge of Stability. - Lei Chen 062; Joan Bruna (CoRR, 2022)

Beyond the Edge of Stability via Two-step Gradient Updates. - Lei Chen 062; Joan Bruna (ICML, 2023)

How Truncating Weights Improves Reasoning in Language Models. - Lei Chen 062; Joan Bruna; Alberto Bietti (CoRR, 2024)

Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers. - Lei Chen 062; Joan Bruna; Alberto Bietti (ICLR, 2025)