3 papers
cs.LG2025
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review
Yuchen Fang, Hao Miao, Yuxuan Liang +9
Spatio-temporal deep learning models aims to utilize useful patterns in such data to support tasks like prediction. However, previous deep learning models designed for specific tas…
cs.IR2025
LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search
Ximu Zeng, Liwei Deng, Penghao Chen +3
Approximate nearest neighbor search is fundamental in information retrieval. Previous partition-based methods enhance search efficiency by probing partial partitions, yet they face…
cs.DB2024
Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search
Liwei Deng, Penghao Chen, Ximu Zeng +3
High-dimensional approximate nearest neighbor search (AKNN) is a fundamental task for various applications, including information retrieval. Most existing algorithms for AKNN c…