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Showing papers from Fuzhou University Show all papers

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OrangeTree: A Linear and Tree-based Time Series Forecasting Model Supporting Multiple Input and Output Lengths

Yiqi Tang, Zhichen Lai, Yuxuan Yang, Dalin Zhang and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Harnessing Accurate and Automatic Trend Detection in Data Streams via Tbps-Level Inference

Yuhan Wu, QianXun Xu, Lida Liao, Longlong Zhu and 6 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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72%Highly rated
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Efficiently Aligning Draft Models via Parameter- and Data-Efficient Adaptation

EDA adapts draft models to fine-tuned LLMs via lightweight private components, regenerated training data, and selective sampling, restoring speculative decoding performance at much lower cost than full retraining.

Luxi Lin, Zhihang Lin, Zhanpeng Zeng, Yuhao Chen and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
83%Must read
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Hierarchical Denoising For Multi-Step Visual Reasoning

HDR integrates hierarchical tree-structured latents into causal video generation to enable coarse-to-fine multi-step visual reasoning with sparse attention, boosting reasoning success by 76% over streaming diffusion while running 54x faster than bidirectional diffusion.

Zezhong Qian, Xiaowei Chi, Chak-Wing Mak, Tianze Zhou and 8 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 7 on Hugging Face

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5