Ximu Zeng
YOU?
Author Swipe
View article: Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review
Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review Open
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 tasks typically require separate training for each use case, l…
View article: LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search
LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search Open
Approximate nearest neighbor search is fundamental in information retrieval. Previous partition-based methods enhance search efficiency by probing partial partitions, yet they face two common issues. In the query phase, a common strategy i…
View article: Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search
Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search Open
High-dimensional approximate $K$ nearest neighbor search (AKNN) is a fundamental task for various applications, including information retrieval. Most existing algorithms for AKNN can be decomposed into two main components, i.e., candidate …