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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

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.