Zhengdao Chen
12 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(55)
💎
Century Club · Bronze
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Unstoppable · Bronze
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The Questioner
Venues
Top co-authors
Research topics
Keywords
graph neural network
(5)
message passing
(2)
mean-field limit
(2)
representation learning
(2)
feature learning
(2)
reproducing kernel hilbert space
(2)
neural network
(2)
community detection
(2)
expressive power
(2)
graph isomorphism
(2)
graph learning
(1)
function approximation
(1)
gradient descent
(1)
generalization error
(1)
mean field theory
(1)
function space
(1)
random graph
(1)
neural network theory
(1)
generalization bound
(1)
stochastic block model
(1)
Papers
A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks
JMLR 2026
Neural Hilbert Ladders: Multi-Layer Neural Networks in Function Space
JMLR 2024
Semantic Routing via Autoregressive Modeling
NeurIPS 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
A Dynamical Central Limit Theorem for Shallow Neural Networks
NeurIPS 2020
Can Graph Neural Networks Count Substructures?
NeurIPS 2020
Symplectic Recurrent Neural Networks
ICLR 2020
On the equivalence between graph isomorphism testing and function approximation with GNNs
NeurIPS 2019
Supervised Community Detection with Line Graph Neural Networks
ICLR 2019