10 citations · 10 across the 5 of their papers we have counts for
6 papers
GoldenRetriever: Non-Interactive Homomorphic Encrypted Retrieval for Privacy-Preserving RAG
Yang Gao, Gang Quan, Scott Piersall +3
Retrieval-Augmented Generation (RAG) enhances large language models by incorporating external knowledge, but existing pipelines typically operate on plaintext data, raising signifi…
Improving MPI Error Detection and Repair with Large Language Models and Bug References
Scott Piersall, Yang Gao, Shenyang Liu +1
Message Passing Interface (MPI) is a foundational technology in high-performance computing (HPC), widely used for large-scale simulations and distributed training (e.g., in machine…
Efficient Privacy-Preserving Sparse Matrix-Vector Multiplication Using Homomorphic Encryption
Yang Gao, Gang Quan, Wujie Wen +3
Sparse matrix-vector multiplication (SpMV) is a fundamental operation in scientific computing, data analysis, and machine learning. When the data being processed are sensitive, pre…
GPT-FT: An Efficient Automated Feature Transformation Using GPT for Sequence Reconstruction and Performance Enhancement
Yang Gao, Dongjie Wang, Scott Piersall +2
Feature transformation plays a critical role in enhancing machine learning model performance by optimizing data representations. Recent state-of-the-art approaches address this tas…
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation
Shenyang Liu, Yang Gao, Shaoyan Zhai +1
Prompt Recovery, reconstructing prompts from the outputs of large language models (LLMs), has grown in importance as LLMs become ubiquitous. Most users access LLMs through APIs wit…
Secure and Efficient General Matrix Multiplication On Cloud Using Homomorphic Encryption
Yang Gao, Gang Quan, Soamar Homsi +2
Despite the cloud enormous technical and financial advantages, security and privacy have always been the primary concern for adopting cloud computing facility, especially for gover…