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Jiujiang Guo

3 accepted papers

2026

Tackling Model Bias via Game-theoretic Multi-agent Collaboration Framework for Hateful Meme Classification

CVPR 2026

Hateful meme classification aims to identify memes containing hateful content and has become increasingly important in the era of social media dominance. Large multimodal models (LMMs) have significantly enhanced the understanding of multimodal content, advancing this field. However, cognitive biase

Cited by 0SourcecodeScholar
2025

MTE: Multi Transformation of Entities in Quaternion Vector Space for Temporal Knowledge Graph Completion

ICASSP 2025accepted

Compared with Static Knowledge Graphs, Temporal Knowledge Graphs need to pay more attention to the time when facts occur and these facts will change over time. However, existing models lack the capture of entity and relation and timestamp feature interactions, which is mainly reflected in the tempor…

Cited by 0SourceScholar
2025

TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion

ICML 2025poster

Existing research on temporal knowledge graph completion treats temporal information as supplementary, without simulating various features of facts from a temporal perspective. This work summarizes features of temporalized facts from both diachronic and synchronic perspectives: (1) Diachronicity. Fa…

Cited by 0SourcePDFScholar