Vector databases have emerged as core infrastructure for managing unstructured data by enabling efficient semantic search over high-dimensional embeddings. While existing systems largely assume a centralized setting, real-world deployments are often federated, with data distributed across autonomous silos. A fundamenta...
Yu-Xiang Wang, Rui-Xi Hu, Zi-Yuan He et al.· Proceedings of the VLDB Endo...· 0 citations
Wide-table vectors, where each embedding is linked with numerous structured attributes, are prevalent in applications such as autonomous driving and multimodal data processing for large-model training. Efficiently retrieving semantically similar vectors under attribute filters is crucial for these tasks, a problem addr...
Zi-Yuan He, Yu-Xiang Wang, Yu Sun et al.· Proceedings of the VLDB Endo...· 0 citations
UAV-based rail inspection is hampered by minute-defect detection, background clutter, and edge-computing constraints. To address these issues, this paper proposes a lightweight rail-defect recognition model based on improved MobileViT. First, deformable convolution and an adaptive scale downsampling (ASD) module were i...
Yangyang Jiao, Zhifei Wang, Fan Li et al.· Applied Sciences· 0 citations
Efficient vector similarity search is critical for Retrieval-Augmented Generation (RAG) systems and other real-time AI applications. However, most existing methods are optimized for isolated queries and fail to leverage the continuity and correlation inherent in real-world query streams, such as those in multi-turn dia...
Zhuanglin Zheng, Yuxiang Zeng, Yunzhen Chi et al.· Proceedings of the 32nd ACM...· 0 citations
The MemLens is presented, a value-aware memory management system that takes memory records as first-class data objects and can serve as an efficient, interpretable, and personalized long-term memory management system for agents.
Shuyue Wei, Chang Liu, Zi-Mu Zhou et al.· Proceedings of the VLDB Endo...· 0 citations
This paper proposes SkillAlchemy, an admission-centered framework for source-grounded skill creation that identifies implicit requirements through contrastive evidence, admits candidate procedures based on evidence-supported scope, and compiles the admitted content into a grammar-guided skill package.
Heng Wang, Shuyue Wei, Boyi Liu et al.· 0 citations
X-FED is proposed, a novel Conflict-Aware Cross-Client Federated Exit Distillation framework that jointly addresses both client- and depth-wise conflicts while extending PFL to early-exit networks and introduces a client-decoupled formulation that reduces communication overhead with theoretical soundness.
Boyi Liu, Zimu Zhou, Cheng Fang et al.· 0 citations
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