The retriever, typically implemented as a dense or sparse encoder, scours external databases to find relevant information.

In this paper, we propose FG-SAT, the first end-to-end method for encrypted traffic analysis under environment shifts. We propose a key abstraction, the Flow Graph, to represent flow internal ...

The identification of cell types by clustering singlecell RNA sequencing (scRNA-seq) data is a fundamental step in the downstream analysis of single-cell data. However, great challenges remain owing ...

Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction Zhe Huang, Ruohua Li, Kazuki Shin, Katherine Driggs-Campbell published in RA-L. [Paper] [arXiv] [Project] ...

Glad paper titled 'Contrastive Graph Auto-Encoder for Graph Embedding Learning Systems' is finally accepted after 3 rounds and 16 months, where reviewers helped a lot to make it a great ...

Our second aim was to explore the relationship between autistic characteristics and neural processing of socio-emotional cognition in individuals with AN by using two MVPA decoders, the spatial sparse ...

Advanced RAG Chatbot An intelligent document-based chatbot powered by Retrieval-Augmented Generation (RAG) with hybrid search capabilities. This system combines semantic and keyword-based search to ...