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Showing papers from Harbin Engineering University Show all papers

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NeurIPS 2026U Science and Technology of ChinHarbin EngineeringTianjinQuantization

ADKV: A Low-Overhead Adaptive Delta Quantization for KV Cache in LLM Inference

Honghao Jia, Zhenxing Li, Jialiang Guo, Jiacheng Gan

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Shanghai JiaotongXiamenDalian University of TechnologyNankaiHarbin EngineeringAgent benchmarks & environments

PCBInnoBench: Benchmarking LLM Agents on Real-World PCB Design

Fuyuan Xia, Jiaxin Hu, Kewei Yu, Zihan Zhang and 12 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Harbin EngineeringQueen Mary, University of LondonTime series forecasting

Diff-Kalman: Difference-Driven Learning for Structure-Preserving Kalman Filtering

Jia Gao, Xianglei Xing, yang qing, Tianshuo Zhang and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026TsinghuaHarbin EngineeringVideo-language models

FrameRouter: Frame Budget Routing for Long-Video Understanding on Video-MME-v2 and Beyond

Bingjun Luo, Jialin Guo, Siqi Li

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
67%Highly rated
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NeurIPS 2026Harbin Institute of TechnologyHarbin EngineeringAdversarial robustness

Gradient-Guided Smoothing for LLM Safety Defense

Yuxuan Gu, Xiaocheng Feng, kun Zhu, Lunjun Liu and 4 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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lenient 2/5
medium 0/10
strict 0/5
80%Must read
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NeurIPS 2026Harbin EngineeringPhysics-informed ML & PDEs

APPSolver: Adaptive Patch Partitioning for Point-Wise Ship Flow Prediction on Unstructured Meshes

APPSolver introduces adaptive quadtree patch partitioning for efficient point-wise ship flow prediction, reducing computation versus uniform patches but not universally outperforming persistence baselines.

Wenhua Huo, Fenglei Han, Wangyuan Zhao, Xiao Peng and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5