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Tang Qian

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Book Open access Aug 2026

OneDB: A Distributed Multi-Metric Data Similarity Search System

OneDB is presented, a distributed framework for multi-metric similarity search that integrates data management with learning-based techniques and captures user intent effectively, achieving 12.63%--30.75% higher accuracy and 2.75× faster retrieval speeds compared to state-of-the-art vector search systems.

Tang Qian, Yi-Fan Zhu, Lu Chen et al. · 0 citations

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data

FEAT replaces quadratic attention with a multi-layer dual-axis encoding architecture and integrates an adaptive-fusion bidirectional state-space model (AFBM) with convolutional gated linear attention (Conv-GLA), enabling cross-tuple contextualization in O(N) time while supporting permutation-invariant representation le...

Zhen Song, Tang Qian, Lu-Lu Chen et al. · 1 citation

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