Xingye Chen — accepted AI-conference papers

2026

KD-CVG: A KNOWLEDGE-DRIVEN APPROACH FOR CREATIVE VIDEO GENERATION

Linkai Liu, Wei Feng, Xingye Chen, Zheng Zhang, Yuchen Zhou

ICASSP 2026poster

Creative Generation (CG) leverages generative models to automatically produce advertising content that highlights product features, and it has been a significant focus of recent research. However, while CG has advanced considerably, most efforts have concentrated on generating advertising text and i…

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2026

Semantic-Guided Global-Local Collaborative Prompt Learning for Few-Shot Class Incremental Learning

Yongxin Yan, Weisen Chen, Xingye Chen, Yuanjie Shao, Zhengrong Zuo, Wenming Tan +3

CVPR 2026

Few-Shot Class-Incremental Learning (FSCIL) poses a critical challenge in machine learning, requiring models to continuously integrate novel classes with limited samples while preserving knowledge of previously seen classes. While existing FSCIL approaches have demonstrated promising results, they s

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