VLDB 2024 paper presenting DIDS, a fast similarity search method using double indices and double summarizations to accelerate high-dimensional vector queries.

TKDE 2024 paper presenting DIMS, a distributed indexing method for efficient similarity search across metric spaces. The approach enables parallel processing of vector similarity queries at scale.

VLDB 2022 paper introducing Hercules, an approach for efficient data series (time series) similarity search at scale, leveraging advanced indexing and pruning techniques for billion-scale sequence datasets.

Research paper presenting Maze, a web-scale video deduplication system designed for cost efficiency. Published at the 30th ACM International Conference on Multimedia in 2022, it addresses large-scale video similarity detection.

NeurIPS 2023 paper presenting NHQ, an efficient and robust framework for approximate nearest neighbor search with attribute constraints, enabling hybrid queries combining vector similarity with structured filtering.

Paper proposing the Satellite System Graph (NSSG) approach for high dimensional similarity search, emphasizing efficiency, scalability, and unindexed query compatibility. Published in TPAMI 2021 by Fu et al.