Likang Wu
11 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
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Conferences
AAAI (5)
IJCAI (3)
EMNLP (1)
ICML (1)
NAACL (1)
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Keywords
recommender system
(3)
graph neural network
(3)
large language model
(3)
multimodal learning
(2)
hierarchical learning
(1)
prototype learning
(1)
contrastive learning
(1)
item recommendation
(1)
image generation
(1)
cross-modal retrieval
(1)
semantic representation
(1)
semantic alignment
(1)
graph representation
(1)
graph structure
(1)
graph embedding
(1)
personalized generation
(1)
iterative refinement
(1)
time series forecasting
(1)
instruction tuning
(1)
attention mechanism
(1)
Papers
Multi-View Empowered Structural Graph Wordification for Language Models
AAAI 2025
TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting
IJCAI 2025
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data
ICML 2025
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction
NAACL 2025
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization
EMNLP 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
AAAI 2024
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
AAAI 2024
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
IJCAI 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
AAAI 2023
Learning the Compositional Visual Coherence for Complementary Recommendations
IJCAI 2020
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model
AAAI 2020