6 papers
TEngineDB-V: An OLAP-Native Vector Search System for Large- Workloads at Tencent
Xufei Wu, Pengcheng Zhang, Yitong Song +11
Vector search systems are essential infrastructure for modern data-driven applications. Large- analytical vector search, which retrieves -- results for analytics (…
Every Client Is an Environment: Federated De-confounding for Spatio-Temporal Forecasting
Qingxiang Liu, Anqi Liang, Heng Wang +1
Federated learning has emerged as a promising paradigm for spatio-temporal forecasting (STF), enabling collaborative model training without sharing raw observations. Existing feder…
Think Before You Act: Intention-Guided Reasoning for LLM-Based Location Prediction
Qingxiang Liu, Anqi Liang, Zhuoyang Jiang +5
Predicting a user's next Point-of-Interest (POI) based on their historical check-in records is a fundamental task in location-based services. While recent methods incorporating lar…
ActivityEditor: Learning to Synthesize Physically Valid Human Mobility
Chenjie Yang, Yutian Jiang, Anqi Liang +3
Human mobility modeling is indispensable for diverse urban applications. However, existing data-driven methods often suffer from data scarcity, limiting their applicability in regi…
PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs
Hao Duan, Yitong Song, Bin Yao +1
Approximate Nearest Neighbor Search (ANNS) plays a crucial role in many key areas. Proximity graphs (PGs) are the leading method for ANNS, offering the best balance between query e…
UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search
Anqi Liang, Pengcheng Zhang, Bin Yao +3
This paper presents an efficient and scalable framework for Range Filtered Approximate Nearest Neighbors Search (RF-ANNS) over high-dimensional vectors associated with attribute va…