211 citations · 341 across the 5 of their papers we have counts for
5 papers
Embedding Learning in Hybrid Quantum-Classical Neural Networks
Minzhao Liu, Junyu Liu, Rui Liu +4
Quantum embedding learning is an important step in the application of quantum machine learning to classical data. In this paper we propose a quantum few-shot embedding learning par…
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning
Rui Liu, Sanjay Krishnan, Aaron J. Elmore +1
As neural networks are increasingly employed in machine learning practice, how to efficiently share limited training resources among a diverse set of model training tasks becomes a…
Untangling Blockchain: A Data Processing View of Blockchain Systems
Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang +3
Blockchain technologies are gaining massive momentum in the last few years. Blockchains are distributed ledgers that enable parties who do not fully trust each other to maintain a…
BLOCKBENCH: A Framework for Analyzing Private Blockchains
Tien Tuan Anh Dinh, Ji Wang, Gang Chen +3
Blockchain technologies are taking the world by storm. Public blockchains, such as Bitcoin and Ethereum, enable secure peer-to-peer applications like crypto-currency or smart contr…
Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU
Zhe Zhou, Wenrui Diao, Xiangyu Liu +3
In this paper, we present that security threats coming with existing GPU memory management strategy are overlooked, which opens a back door for adversaries to freely break the memo…