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Yimu Ji

4 accepted papers

2026

Spatial-Frequency Collaborative Learning for Occluded Visible-Infrared Person Re-Identification

CVPR 2026

Occluded visible-infrared person re-identification (Occluded VI-ReID) remains difficult due to modality heterogeneity and occlusions, both of which break structural consistency and weaken cross-modality feature alignment. Existing methods rely mainly on spatial-domain cues (such as local body parts

Cited by 0SourceScholar
2025

Efficient Cross-modal Prompt Learning with Semantic Enhancement for Domain-robust Fake News Detection

COLING 2025main

With the development of multimedia technology, online social media has become a major medium for people to access news, but meanwhile, it has also exacerbated the dissemination of multi-modal fake news. An automatic and efficient multi-modal fake news detection (MFND) method is urgently needed. Exis…

Cited by 0SourcePDFScholar
2024

Semantic Distillation and Structural Alignment Network for Fake News Detection

ICASSP 2024accepted

In recent years, the rapid proliferation of multi-modal fake news has posed potential harm across various sectors of society, making the detection of multi-modal fake news crucial. Most existing methods can not effectively reduce the redundant information and preserve both semantic and structural in…

Cited by 0SourceScholar
2020

SEBF: A Single-Chain based Extension Model of Blockchain for Fintech

IJCAI 2020poster

The traditional blockchain has the shortcoming that a single-chain can only deal with one or a few specific data types. The research question of how to make blockchain be able to deal with various data types has not been well studied. In this paper, we propose a single-chain based extension model of…