C
Chen Wang
Researcher at Commonwealth Scientific and Industrial Research Organisation
Publications - 150
Citations - 2386
Chen Wang is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 21, co-authored 120 publications receiving 1858 citations. Previous affiliations of Chen Wang include Chinese Academy of Sciences & University of Sydney.
Papers
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Proceedings ArticleDOI
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense.
TL;DR: This paper proposes both attack and defense techniques for adversarial attacks and shows that the discreteness problem could easily be resolved by introducing integrated gradients which could accurately reflect the effect of perturbing certain features or edges while still benefiting from the parallel computations.
Journal ArticleDOI
Cadec: A corpus of adverse drug event annotations
TL;DR: A new rich annotated corpus of medical forum posts on patient-reported Adverse Drug Events (ADEs), which contains text that is largely written in colloquial language and often deviates from formal English grammar and punctuation rules.
Proceedings ArticleDOI
Profit-Driven Service Request Scheduling in Clouds
TL;DR: This paper considers a three-tier cloud structure, which consists of infrastructure vendors, service providers and consumers, the latter two parties are particular interest to us and contributes to the development of a pricing model—using processor-sharing—for clouds and two sets of profit-driven scheduling algorithms.
Proceedings ArticleDOI
Tradeoffs Between Profit and Customer Satisfaction for Service Provisioning in the Cloud
TL;DR: This paper uses utility theory leveraged from economics and develops a new utility model for measuring customer satisfaction in the cloud based on the utility model, and designs a mechanism to support utility-based SLAs in order to balance the performance of applications and the cost of running them.
Journal ArticleDOI
Text and Data Mining Techniques in Adverse Drug Reaction Detection
TL;DR: In order to highlight the importance of contributions made by computer scientists in this area so far, the existing approaches are categorized and review, and most importantly, areas where more research should be undertaken are identified.