3 citations · 6 across the 10 of their papers we have counts for
10 papers
PDET-LSH: Scalable In-Memory Indexing for High-Dimensional Approximate Nearest Neighbor Search with Quality Guarantees
Jiuqi Wei, Xiaodong Lee, Botao Peng +3
Locality-sensitive hashing (LSH) is a well-known solution for approximate nearest neighbor (ANN) search with theoretical guarantees. Traditional LSH-based methods mainly focus on i…
DaiSy: A Library for Scalable Data Series Similarity Search
Francesca Del Gaudio, Manos Chatzakis, Gayathiri Ravendirane +2
Exact similarity search over large collections of data series is a fundamental operation in modern applications, yet existing solutions are often fragmented, specialized, or tailor…
ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
Yanlin Qi, Xinhang Chen, Huiqiang Jiang +3
KV-cache retrieval is essential for long-context LLM inference, yet existing methods struggle with distribution drift and high latency at scale. We introduce ParisKV, a drift-robus…
Fast and Exact Similarity Search in less than a Blink of an Eye
Patrick Schäfer, Jakob Brand, Ulf Leser +2
Similarity search is a fundamental operation for analyzing data series (DS), which are ordered sequences of real values. To enhance efficiency, summarization techniques are employe…
PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams
Ying Li, Xiaodong Lee, Botao Peng +2
Local differential privacy (LDP) has recently become a popular privacy-preserving data collection technique protecting users' privacy. The main problem of data stream collection un…
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search
Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas +2
This paper presents Odyssey, a novel distributed data-series processing framework that efficiently addresses the critical challenges of exhibiting good speedup and ensuring high sc…
Fast Data Series Indexing for In-Memory Data
Botao Peng, Panagiota Fatourou, Themis Palpanas
Data series similarity search is a core operation for several data series analysis applications across many different domains. However, the state-of-the-art techniques fail to deli…
Data Series Indexing Gone Parallel
Botao Peng
Data series similarity search is a core operation for several data series analysis applications across many different domains. However, the state-of-the-art techniques fail to deli…
MESSI: In-Memory Data Series Indexing
Botao Peng, Panagiota Fatourou, Themis Palpanas
Data series similarity search is a core operation for several data series analysis applications across many different domains. However, the state-of-the-art techniques fail to deli…
ParIS+: Data Series Indexing on Multi-Core Architectures
Botao Peng, Panagiota Fatourou, Themis Palpanas
Data series similarity search is a core operation for several data series analysis applications across many different domains. Nevertheless, even state-of-the-art techniques cannot…