Kairui Zhang — accepted AI-conference papers

2026

QueryStream: Advancing Streaming Video Understanding with Query-Aware Pruning and Proactive Response

Kairui Zhang, Zhenyu Yang, Bing Wang, Shengsheng Qian, Changsheng Xu

ICLR 2026poster

The increasing demand for real-time interaction in online video scenarios necessitates a new class of efficient streaming video understanding models. However, existing approaches often rely on a flawed, query-agnostic ``change-is-important'' principle, which conflates visual dynamics with semantic r…

Cited by 0 Source ↗Scholar ↗

2025

LiveStar: Live Streaming Assistant for Real-World Online Video Understanding

Zhenyu Yang, Kairui Zhang, Yuhang Hu, Bing Wang, Shengsheng Qian, Bin Wen +4

NeurIPS 2025poster

Despite significant progress in Video Large Language Models (Video-LLMs) for offline video understanding, existing online Video-LLMs typically struggle to simultaneously process continuous frame-by-frame inputs and determine optimal response timing, often compromising real-time responsiveness and na…

Cited by 0 Source ↗code ↗Scholar ↗