5 papers
CCD-Level and Load-Aware Thread Orchestration for In-Memory Vector ANNS on Multi-Core CPUs
Yuchen Huang, Baiteng Ma, Yiping Sun +6
Vector approximate nearest neighbor search (ANNS) underpins search engines, recommendation systems, and advertising services. Recent advances in ANNS indexes make CPU a cost-effect…
Scalable Overload-Aware Graph-Based Index Construction for 10-Billion-Scale Vector Similarity Search
Yang Shi, Yiping Sun, Jiaolong Du +3
Approximate Nearest Neighbor Search (ANNS) is essential for modern data-driven applications that require efficient retrieval of top-k results from massive vector databases. Althoug…
A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighborhood Search
Yiping Sun, Yang Shi, Jiaolong Du
In recent years, Approximate Nearest Neighbor Search (ANNS) has played a pivotal role in modern search and recommendation systems, especially in emerging LLM applications like Retr…
A Global-Local Attention Mechanism for Relation Classification
Yiping Sun
Relation classification, a crucial component of relation extraction, involves identifying connections between two entities. Previous studies have predominantly focused on integrati…
TransTARec: Time-Adaptive Translating Embedding Model for Next POI Recommendation
Yiping Sun
The rapid growth of location acquisition technologies makes Point-of-Interest(POI) recommendation possible due to redundant user check-in records. In this paper, we focus on next P…