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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

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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…

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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…

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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…