Dexiong Chen
12 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (6) π§ Keyword Pioneer
π
Interdisciplinary Bridge
π
Triple Crown
π₯
Unstoppable
(7)
π
Century Club
(12)
Conferences
ICML (4)
ICLR (3)
NIPS (3)
AISTATS (1)
CVPR (1)
Top co-authors
Keywords
graph neural network
(3)
reproducing kernel hilbert space
(2)
kernel methods
(2)
robust optimization
(1)
graph classification
(1)
model robustness
(1)
manifold learning
(1)
graph representation learning
(1)
point cloud
(1)
adversarial training
(1)
graph representation
(1)
neural network optimization
(1)
vc dimension
(1)
fisher information
(1)
label noise
(1)
attention mechanism
(1)
protein classification
(1)
feature map
(1)
recurrent neural network
(1)
self-attention mechanism
(1)
Papers
Learning Long Range Dependencies on Graphs via Random Walks
ICLR 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
AISTATS 2025
SURE: SUrvey REcipes for building reliable and robust deep networks
CVPR 2024
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
NIPS 2024
Fisher Information Embedding for Node and Graph Learning
ICML 2023
ProteinShake: Building datasets and benchmarks for deep learning on protein structures
NIPS 2023
Unsupervised Manifold Alignment with Joint Multidimensional Scaling
ICLR 2023
Structure-Aware Transformer for Graph Representation Learning
ICML 2022
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
ICLR 2021
Convolutional Kernel Networks for Graph-Structured Data
ICML 2020
A Kernel Perspective for Regularizing Deep Neural Networks
ICML 2019
Recurrent Kernel Networks
NIPS 2019