Chaolang Li — accepted AI-conference papers

2026

CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation

Jingyu Li, Zhaocheng Du, Qianhui Zhu, kaiyuan Li, Zhicheng Zhang, Song-Li Wu +2

ICLR 2026poster

Sequential recommendation models are widely used in applications, yet they face stringent latency requirements. Mainstream models leverage the Transformer attention mechanism to improve performance, but its computational complexity grows with the sequence length, leading to a latency challenge for…

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2026

DyFCLT: Dynamic Frequency-Decoupled Cross-Modal Learning Transformer for Multimodal Tiny Object Detection

Chaolang Li, Pengwen Dai, Jingyu Li, Siyuan Yao, Yuchen Jiang, Zhuoran Zheng

CVPR 2026

Multimodal tiny object detection plays a critical role in real-world applications, yet remains highly challenging due to weak target representations and complex cross-modal interference. Existing frequency-domain methods for tiny object detection are still largely limited to the visible modality and

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