Leilei Sun
15 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (33) 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Prolific Year · Productive
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(14)
Deep Learning
(12)
Architectures
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Core Methods
(8)
Learning Types · Machine Learning
(7)
Artificial Intelligence
(4)
Data Science & Analytics
(4)
Natural Language Processing
(4)
Core AI
(4)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Applications · Data Science & Analytics
(3)
Applications · Natural Language Processing
(2)
Methods
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Models
(2)
Keywords
graph neural network
(3)
link prediction
(3)
node representation
(2)
generative model
(2)
graph representation learning
(2)
node classification
(2)
temporal dependencies
(2)
matrix factorization
(1)
transfer learning
(1)
contrastive learning
(1)
hierarchical text classification
(1)
multi-label classification
(1)
text representation
(1)
semantic alignment
(1)
self-supervised learning
(1)
adversarial learning
(1)
label hierarchy
(1)
temporal dynamics
(1)
set prediction
(1)
vector quantization
(1)
Papers
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
AAAI 2026
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
IJCAI 2025
An NCDE-based Framework for Universal Representation Learning of Time Series
IJCAI 2024
Improving Temporal Link Prediction via Temporal Walk Matrix Projection
NeurIPS 2024
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
AAAI 2023
Continuous-Time Graph Learning for Cascade Popularity Prediction
IJCAI 2023
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
AAAI 2023
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning
AAAI 2023
Predicting Temporal Sets with Simplified Fully Connected Networks
AAAI 2023
Pretraining Language Models with Text-Attributed Heterogeneous Graphs
EMNLP 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
NeurIPS 2023
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
IJCAI 2022
Exploiting Global and Local Hierarchies for Hierarchical Text Classification
EMNLP 2022
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
AAAI 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification
AAAI 2021