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Qiang He
Researcher at Swinburne University of Technology
Publications - 547
Citations - 13588
Qiang He is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 50, co-authored 389 publications receiving 8498 citations. Previous affiliations of Qiang He include Huazhong University of Science and Technology & Shanghai Jiao Tong University.
Papers
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Journal ArticleDOI
Graph Convolutional Network-Based Rumor Blocking on Social Networks
TL;DR: This article argues that users will dialectically trust the information based on their own opinions rather than the rule of first-come-first-listen, and proposes a confidence-based opinion adoption (CBOA) model, which considers the opinion and confidence according to the traditional linear threshold (LT) model.
Book ChapterDOI
Cloud Workflow System Quality of Service
TL;DR: This book introduces the QoS of cloud workflows, a generic QoS framework is presented as a high level guideline for the design of software components to deliver lifecycle QoS support in cloud workflow systems, and specific strategies for performance management, cost management, reliability management, and security management will be discussed and demonstrated.
Journal ArticleDOI
MCycDB: A curated database for comprehensively profiling methane cycling processes of environmental microbiomes
Lu Qian,Xiaoli Yu,Jiayin Zhou,Hang Gu,Jijuan Ding,Yisheng Peng,Qiang He,Yun Tian,Jihua Liu,Shanquan Wang,Cheng Wang,Longfei Shu,Qingyun Yan,Jianguo He,Guangli Liu,Qichao Tu,Zhili He +16 more
TL;DR: In this paper , a manually curated methane cycling database (MCycDB) was constructed for comprehensive and accurate analysis of methane cycling microbial communities, which contains 298 methane cycling gene families covering 10 methane metabolism pathways with 610,208 representative sequences, and associated reference sequences from the NCBI RefSeq database with 48 phyla and 2,197 genera.
Proceedings ArticleDOI
App Competition Matters: How to Identify Your Competitor Apps?
TL;DR: This paper introduces a novel approach for identifying the competitor apps of a given target app, which includes three major components, and shows that the approach is effective in identifying competitor apps.
Journal ArticleDOI
Joint Coverage-Reliability for Budgeted Edge Application Deployment in Mobile Edge Computing Environment
TL;DR: This paper jointly considers both user coverage and service reliability when deploying application instances on edge servers with a given application deployment budget K and proposes an optimal approach based on integer programming and a greedy approach with a constant approximation ratio of 1 1/e to solve large-scale CR-BEAD problems efficiently.