Zhengdao Chen
11 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11) π Conference Polyglot (4)
π
Keyword Champion
(2)
π₯
Unstoppable
(6)
π
Century Club
(11)
β
The Questioner
Conferences
ICLR (5)
NIPS (4)
ICML (1)
JMLR (1)
Top co-authors
Keywords
mean-field limit
(2)
graph neural network
(2)
reproducing kernel hilbert space
(2)
representation learning
(2)
function space
(1)
message passing
(1)
gradient descent
(1)
generalization error
(1)
expressive power
(1)
generalization bound
(1)
autoregressive model
(1)
generalization guarantee
(1)
graph isomorphism
(1)
transformer network
(1)
shallow neural network
(1)
permutation invariance
(1)
wasserstein gradient flow
(1)
central limit theorem
(1)
natural language query
(1)
random field dynamics
(1)
Papers
Semantic Routing via Autoregressive Modeling
NIPS 2024
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space
JMLR 2024
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
ICLR 2023
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
ICML 2023
On feature learning in neural networks with global convergence guarantees
ICLR 2022
On Graph Neural Networks versus Graph-Augmented MLPs
ICLR 2021
Symplectic Recurrent Neural Networks
ICLR 2020
Can Graph Neural Networks Count Substructures?
NIPS 2020
A Dynamical Central Limit Theorem for Shallow Neural Networks
NIPS 2020
On the equivalence between graph isomorphism testing and function approximation with GNNs
NIPS 2019
Supervised Community Detection with Line Graph Neural Networks
ICLR 2019