Haoyu Han
17 papers · 2023–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (10) π₯ Mega-Team Β· Squad
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Grand Slam
ποΈ
Keyword Collector
(84)
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The Questioner
β‘
Prolific Year Β· Productive
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Renaissance Researcher
(7)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(10)
Artificial Intelligence
(8)
Architectures
(8)
Learning Types Β· Machine Learning
(7)
Core AI
(6)
Application Areas
(5)
Natural Language Processing
(3)
Core Methods
(3)
Learning Paradigms
(3)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Optimization
(2)
Keywords
graph neural network
(8)
node classification
(4)
transfer learning
(2)
session-based recommendation
(2)
semi-supervised learning
(2)
link prediction
(2)
graph structure
(2)
graph representation learning
(1)
zero-shot learning
(1)
3d reconstruction
(1)
convex optimization
(1)
logical reasoning
(1)
domain adaptation
(1)
weakly supervised learning
(1)
interpretable machine learning
(1)
catastrophic forgetting
(1)
information retrieval
(1)
text generation
(1)
semidefinite programming
(1)
question answering
(1)
Papers
Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution
AAAI 2026
Building Rome with Convex Optimization
RSS 2025
Empowering GraphRAG with Knowledge Filtering and Integration
EMNLP 2025
Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
IJCNLP 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
CVPR 2025
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
ACL 2025
On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning
RSS 2025
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
ACL 2025
Label-free Node Classification on Graphs with Large Language Models (LLMs)
ICLR 2024
Mixture of Link Predictors on Graphs
NeurIPS 2024
On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up
L4DC 2024
Structural Fairness-aware Active Learning for Graph Neural Networks
ICLR 2024
Alternately Optimized Graph Neural Networks
ICML 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
NeurIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NeurIPS 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
ICML 2023
Towards Label Position Bias in Graph Neural Networks
NeurIPS 2023