Jintang Li
8 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19)
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Venues
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Research topics
Machine Learning
(7)
Deep Learning
(6)
Architectures
(6)
Core Methods
(5)
Application Areas
(4)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types Β· Machine Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Learning Types Β· Deep Learning
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
spiking neural network
(4)
graph neural network
(3)
node classification
(2)
temporal graph
(2)
graph convolutional network
(2)
dynamic graph
(2)
graph representation learning
(1)
efficient computing
(1)
energy efficiency
(1)
continuous time
(1)
adversarial attack
(1)
state space model
(1)
spike train
(1)
graph transformer
(1)
graph contrastive learning
(1)
synthetic dataset
(1)
bio-fidelity inference
(1)
event-driven computing
(1)
binary representation
(1)
memory bank
(1)
Papers
GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization
AAAI 2026
Measuring Diversity in Synthetic Datasets
ICML 2025
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
ICLR 2024
State Space Models on Temporal Graphs: A First-Principles Study
NeurIPS 2024
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
IJCAI 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
AAAI 2023
Spiking Graph Convolutional Networks
IJCAI 2022
Understanding Structural Vulnerability in Graph Convolutional Networks
IJCAI 2021