Lei Chen 陈磊

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Ph.D. Candidate, Computer Science
Advisor: Prof. Joan Bruna
Courant Institute of Mathematical Sciences
Phone: +1 917 575 4837
Email: lc3909 [AT] nyu [DOT] edu

github | vita | google scholar

Research

My research interests include

  • Deep Learning Theory

  • Representation Learning on Graphs

Education

  • Ph.D. student, Computer Science, New York University, Sep. 2020 - present

  • M.S., Computer Science, New York University, Aug. 2018 - May 2020

  • B.Eng., Civil Engineering, Tsinghua University, Aug. 2012 - July 2016

Recent Manuscripts

  • Beyond the Edge of Stability via Two-step Gradient Updates
    (Earlier version: On Gradient Descent Convergence beyond the Edge of Stability)
    Lei Chen, Joan Bruna
    ICML 2023 arxiv poster

The new version includes more discussion on Matrix Factorization.

Publications

(* indicates joint authorship)

  • Beyond the Edge of Stability via Two-step Gradient Updates
    Lei Chen, Joan Bruna
    ICML 2023 arxiv poster

  • On Graph Neural Networks versus Graph-Augmented MLPs
    Lei Chen*, Zhengdao Chen*, Joan Bruna
    ICLR 2021 code arxiv

  • Learning the Relevant Substructures for Tasks on Graph Data
    Lei Chen, Zhengdao Chen, Joan Bruna
    ICASSP 2021

  • Can Graph Neural Networks Count Substructures?
    Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna
    NeurIPS 2020 code arxiv

  • Attributed Random Walk as Matrix Factorization
    Lei Chen, Shunwang Gong, Joan Bruna, Michael Bronstein
    Graph Representation Learning Workshop NeurIPS 2019 code paper

  • SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
    Shunwang Gong, Lei Chen, Michael Bronstein, Stefanos Zafeiriou
    Geometry Meets Deep Learning Workshop ICCV 2019 code paper

  • On the Equivalence between Graph Isomorphism Testing and Function Approximation with GNNs
    Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna
    NeurIPS 2019 code arxiv

Professional Service

  • Journal reviewer: TMLR, IEEE TPAMI

  • Conference reviewer: NeurIPS 2021-2023, ICLR 2022-2023, ICML 2022-2023