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Yiqing Wu

2 accepted papers

2025

One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation

AAAI 2025technical

Multi-domain recommendation (MDR) aims to enhance recommendation performance across various domains. However, real-world recommender systems in online platforms often need to handle dozens or even hundreds of domains, far exceeding the capabilities of traditional MDR algorithms, which typically focu…

2025

Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding

COLING 2025main

Knowledge Graph Embedding (KGE) aims to project entities and relations into a low-dimensional space, so as to enable Knowledge Graphs (KGs) to be effectively used by downstream AI tasks. Most existing KGs (e.g. Wikidata) suffer from the data imbalance issue, i.e., the occurrence frequencies vary sig…

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