activity
20182021
most citedTADOC: Text Analytics Directly on Compression

76 citations · 82 across the 3 of their papers we have counts for

collaborators

5 papers

cs.DC20211 cited

DFOGraph: An I/O- and Communication-Efficient System for Distributed Fully-out-of-Core Graph Processing

Jiping Yu, Wei Qin, Xiaowei Zhu +4

With the magnitude of graph-structured data continually increasing, graph processing systems that can scale-out and scale-up are needed to handle extreme-scale datasets. While exis…

cs.DS202076 cited

TADOC: Text Analytics Directly on Compression

Feng Zhang, Jidong Zhai, Xipeng Shen +5

This article provides a comprehensive description of Text Analytics Directly on Compression (TADOC), which enables direct document analytics on compressed textual data. The article…

cs.DC2020

AIPerf: Automated machine learning as an AI-HPC benchmark

Zhixiang Ren, Yongheng Liu, Tianhui Shi +6

The plethora of complex artificial intelligence (AI) algorithms and available high performance computing (HPC) power stimulates the expeditious development of AI components with he…

cs.DB2019

LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans

Xiaowei Zhu, Guanyu Feng, Marco Serafini +5

The specific characteristics of graph workloads make it hard to design a one-size-fits-all graph storage system. Systems that support transactional updates use data structures with…

cs.NE20185 cited

Bridging the Gap Between Neural Networks and Neuromorphic Hardware with A Neural Network Compiler

Yu Ji, YouHui Zhang, WenGuang Chen +1

Different from developing neural networks (NNs) for general-purpose processors, the development for NN chips usually faces with some hardware-specific restrictions, such as limited…