Zhenyuan Guo — accepted AI-conference papers

2026

Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models

zhenyuan guo, Tong Chen, Wenlong Meng, Chen GONG, Xin Yu, Chengkun Wei +1

ICML 2026poster

Large Reasoning Models (LRMs) excel at solving complex problems by explicitly generating a reasoning trace before deriving the final answer. However, these extended generations incur substantial memory footprint and computational overhead, bottlenecking LRMs' efficiency. This work uses attention map…

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2026

Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion

Yi Shi, Wenlong Meng, Zhenyuan Guo, Chengkun Wei, Wenzhi Chen

AAAI 2026technical

With the rapid rise of social media and Internet culture, memes have become a popular medium for expressing emotional tendencies. This has sparked growing interest in Meme Emotion Understanding (MEU), which aims to classify the emotional intent behind memes by leveraging their multimodal contents. W

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