Hongyang Gao
9 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🏆 Grand Slam
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Topic Evolution
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Architectures
(5)
Artificial Intelligence
(4)
Optimization & Theory · Machine Learning
(4)
Core AI
(3)
Core Methods
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
graph neural network
(3)
activation function
(2)
global convergence
(2)
gradient descent
(2)
convolutional neural network
(2)
sparse representation
(1)
few-shot learning
(1)
neural tangent kernel
(1)
multi-task feature learning
(1)
feature representation
(1)
gaussian process
(1)
neural network training
(1)
parameter sharing
(1)
learning rate
(1)
neural ordinary differential equation
(1)
graph generation
(1)
relu activation
(1)
implicit neural network
(1)
node classification
(1)
multi-task learning
(1)
Papers
Global Convergence in Neural ODEs: Impact of Activation Functions
ICLR 2025
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
ICLR 2025
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning
NeurIPS 2023
Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
NeurIPS 2023
A global convergence theory for deep ReLU implicit networks via over-parameterization
ICLR 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
ICML 2022
Adaptive Convolutional ReLUs
AAAI 2020
Graph U-Nets
ICML 2019
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions
NeurIPS 2018