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Yifan Meng

2 accepted papers

2026

CasUGC: Aligning User-Generated Comment Evolution with Cascade Dynamics for Popularity Prediction

IJCAI 2026

Accurately predicting the popularity of information cascades facilitates the development of social media network applications. During the cascade propagation process, user-generated comments continually evolve, thereby substantially affecting overall information popularity. However, existing methods

Cited by 0Scholar
2025

Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning

ICCV 2025poster

Continual learning aims to enable models to learn sequentially from continuously incoming data while retaining performance on previously learned tasks. With the Contrastive Language-Image Pre-trained model (CLIP) exhibiting strong capabilities across various downstream tasks, there has been growing…