Chenglong Xiao — accepted AI-conference papers

2025

Relation Logical Reasoning and Relation-aware Entity Encoding for Temporal Knowledge Graph Reasoning

Longzhou Liu, Chenglong Xiao, Shanshan Wang, Tingwen Liu

COLING 2025main

Temporal Knowledge Graph Reasoning (TKGR) aims to predict future facts based on historical data. Current mainstream models primarily use embedding techniques, which predict missing facts by representing entities and relations as low-dimensional vectors. However, these models often consider only the…

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2024

Fine-Grained Features Alignment and Fusion for Text-Video Cross-Modal Retrieval

Shuili Zhang, Hongzhang Mu, Quangang Li, Chenglong Xiao, Tingwen Liu

ICASSP 2024accepted

Text-video cross-modal retrieval is an increasingly prominent and challenging task that has garnered significant attention. Traditional models typically embed videos and texts into global vectors, aiming to capture the global features of these modalities. While the models often fall short in capturi…

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