From the 1 of 7 linked papers with an AI index.
7 papers
SHEAF: Self-profiled Hardness Estimation from Answer-set Flux for Predicting Query Hardness in Graph-based ANN Search
Dongfang Zhao
The paper introduces SHEAF, a method that estimates how hard each query is for graph‑based approximate nearest neighbor search by measuring how its top‑k results change between sha…
ETALE: Evolving Topology with Accelerated Lock-free Execution for Dynamic Graph ANN Search on GPUs
Dongfang Zhao
Graph-based approximate nearest neighbor (ANN) indexes on the GPU are originally built for static collections and must reconstruct the affected window to absorb any update, while t…
Slipstream: Locality-Aware Graph Index Construction for Streaming Approximate Nearest Neighbor Search
Shubing Yang, Dongfang Zhao
Graph indexes are widely used for high-recall approximate nearest neighbor search (ANNS), but many real-time applications require streaming ANNS. In these real-time applications, c…
NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection
Solmaz Seyed Monir, Dongfang Zhao
The proliferation of fake news on digital platforms has underscored the need for robust and scalable detection mechanisms. Traditional methods often fall short in handling large an…
VecLSTM: Trajectory Data Processing and Management for Activity Recognition through LSTM Vectorization and Database Integration
Solmaz Seyed Monir, Dongfang Zhao
Activity recognition is a challenging task due to the large scale of trajectory data and the need for prompt and efficient processing. Existing methods have attempted to mitigate t…
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
Solmaz Seyed Monir, Irene Lau, Shubing Yang +1
Traditional retrieval methods have been essential for assessing document similarity but struggle with capturing semantic nuances. Despite advancements in latent semantic analysis (…