Binbin Hu
11 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(69)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(6)
Deep Learning
(6)
Core Methods
(6)
Architectures
(5)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Learning Paradigms
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Applications
(1)
Keywords
large language model
(3)
recommendation system
(2)
graph neural network
(2)
representation learning
(2)
node classification
(2)
multi-modal knowledge graph completion
(2)
transfer learning
(1)
semi-supervised learning
(1)
reinforcement learning
(1)
knowledge distillation
(1)
question answering
(1)
prompt engineering
(1)
chain-of-thought reasoning
(1)
multimodal learning
(1)
graph classification
(1)
benchmark evaluation
(1)
pairwise ranking
(1)
feature similarity
(1)
fraud detection
(1)
structure learning
(1)
Papers
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
ACL 2025
Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
ICLR 2025
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
AAAI 2025
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
EMNLP 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
NeurIPS 2024
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation
AAAI 2023
MERIT: Learning Multi-level Representations on Temporal Graphs
IJCAI 2022
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
AAAI 2022
Heterogeneous Graph Structure Learning for Graph Neural Networks
AAAI 2021
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
AAAI 2019