ORCID Profile
0000-0002-7033-5688
Current Organisations
RMIT University
,
Curtin University
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Distributed Computing | Ubiquitous Computing | Interorganisational Information Systems and Web Services
Expanding Knowledge in the Information and Computing Sciences |
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: IEEE
Date: 11-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 07-2007
DOI: 10.1109/ICDT.2007.51
Publisher: IEEE
Date: 07-2023
Publisher: IEEE
Date: 12-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: IEEE
Date: 12-2022
Publisher: IEEE
Date: 08-2007
Publisher: Association for Computing Machinery (ACM)
Date: 17-04-2022
DOI: 10.1145/3446372
Abstract: Social media have been growing rapidly and become essential elements of many people’s lives. Meanwhile, social media have also come to be a popular source for identity deception. Many social media identity deception cases have arisen over the past few years. Recent studies have been conducted to prevent and detect identity deception. This survey analyzes various identity deception attacks, which can be categorized into fake profile, identity theft, and identity cloning. This survey provides a detailed review of social media identity deception detection techniques. It also identifies primary research challenges and issues in the existing detection techniques. This article is expected to benefit both researchers and social media providers.
Publisher: Inderscience Publishers
Date: 2009
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 09-2008
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 06-2017
DOI: 10.1109/ICWS.2017.79
Publisher: IEEE
Date: 02-2008
Publisher: IEEE
Date: 10-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 07-2008
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer International Publishing
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 12-2008
DOI: 10.1109/SKG.2008.56
Publisher: ACM
Date: 24-11-2008
Publisher: IEEE
Date: 06-2017
DOI: 10.1109/ICWS.2017.60
Publisher: IEEE
Date: 03-2007
Publisher: IEEE
Date: 02-2008
Publisher: IEEE
Date: 02-2008
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 02-2007
Publisher: Springer International Publishing
Date: 2018
Publisher: Wiley
Date: 25-05-2023
DOI: 10.1002/STVR.1848
Abstract: Test case generation techniques based on adversarial ex les are commonly used to enhance the reliability and robustness of image‐based and text‐based machine learning applications. However, efficient techniques for speech recognition systems are still absent. This paper proposes a family of methods that generate targeted adversarial ex les for speech recognition systems. All are based on the f irefly algorithm (F), and are enhanced with g auss m utations and / or g radient e stimation (F‐GM, F‐GE, F‐GMGE) to fit the specific problem of targeted adversarial test case generation. We conduct an experimental evaluation on three different types of speech datasets, including Google Command , Common Voice and LibriSpeech . In addition, we recruit volunteers to evaluate the performance of the adversarial ex les. The experimental results show that, compared with existing approaches, these approaches can effectively improve the success rate of the targeted adversarial ex le generation. The code is publicly available at github.com/HanboCai/FGMGE .
Publisher: IEEE
Date: 02-2007
Publisher: IEEE
Date: 04-2008
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: IEEE
Date: 02-2007
Publisher: IEEE
Date: 09-2021
Publisher: Springer International Publishing
Date: 2021
Publisher: Springer International Publishing
Date: 2017
Publisher: IEEE
Date: 07-2014
Publisher: Elsevier BV
Date: 04-2016
Publisher: MDPI AG
Date: 17-09-2021
DOI: 10.3390/APP11188664
Abstract: The rapid development of social networking platforms in recent years has made it possible for scholars to find partners who share similar research interests. Nevertheless, this task has become increasingly challenging with the dramatic increase in the number of scholar users over social networks. Scholar recommendation has recently become a hot topic. Thus, we propose a personalized scholar recommendation approach, Mul-RSR (Multi-dimensional features based Research Scholar Recommendation), which improves accuracy and interpretability. In this work, Mul-RSR aims to provide personalized recommendation for academic social platforms. Mul-RSR uses the Doc2Vec text model and the random walk algorithm to calculate textual similarity and social relevance to measure the correlation between scholars. It is able to recommend Top-N scholars for each scholar based on multi-layer perception and attention mechanism. To evaluate the proposed approach, we conduct a series of experiments based on public and self-collected ResearchGate datasets. The results demonstrate that our approach improves the recommendation hit rate, and the hit rate reaches 59.31% when the N value is 30. Through these evaluations, we show Mul-RSR can provide a more solid scientific decision-making basis and achieve a better recommendation effect.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEEE
Date: 10-2008
Publisher: IEEE
Date: 07-2013
Publisher: Elsevier BV
Date: 08-2011
Publisher: IEEE
Date: 10-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2011
Publisher: IEEE
Date: 07-2020
Publisher: IEEE
Date: 10-2012
DOI: 10.1109/SKG.2012.49
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Publisher: Springer International Publishing
Date: 2021
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 02-2010
Publisher: IEEE
Date: 06-2017
DOI: 10.1109/ICWS.2017.59
Publisher: Springer International Publishing
Date: 2016
Publisher: Elsevier BV
Date: 07-2011
Publisher: Springer Berlin Heidelberg
Date: 2014
Publisher: IEEE
Date: 06-2014
DOI: 10.1109/ICWS.2014.53
Publisher: IEEE
Date: 07-2023
Publisher: IEEE
Date: 11-2022
Publisher: Elsevier BV
Date: 03-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: IEEE
Date: 11-2022
Publisher: Wiley
Date: 27-06-2012
DOI: 10.1002/CPE.2886
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2011
Publisher: IEEE
Date: 12-2022
Publisher: IEEE
Date: 07-2019
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: IEEE
Date: 05-2009
Publisher: IEEE
Date: 11-2010
DOI: 10.1109/SKG.2010.34
Publisher: IEEE
Date: 09-2021
Publisher: IEEE
Date: 08-2021
Publisher: Springer International Publishing
Date: 2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2022
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 08-2007
Publisher: Computers, Materials and Continua (Tech Science Press)
Date: 2021
Publisher: IEEE
Date: 06-2015
DOI: 10.1109/ICWS.2015.90
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Publisher: IEEE
Date: 08-2007
Publisher: Springer Science and Business Media LLC
Date: 11-09-2013
Publisher: Springer Nature Switzerland
Date: 2022
Publisher: IEEE
Date: 07-2022
Publisher: IEEE
Date: 07-2022
Publisher: IEEE
Date: 06-2015
DOI: 10.1109/ICWS.2015.17
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Wiley
Date: 20-12-2013
DOI: 10.1002/CPE.2980
Publisher: Wiley
Date: 04-11-2010
DOI: 10.1002/CPE.1652
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Elsevier BV
Date: 05-2019
Publisher: Association for Computing Machinery (ACM)
Date: 24-03-2017
DOI: 10.1145/2983528
Abstract: Mapping out the challenges and strategies for the widespread adoption of service computing.
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2014
Publisher: IEEE
Date: 10-2008
Publisher: Elsevier BV
Date: 07-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Publisher: IEEE
Date: 2009
DOI: 10.1109/SKG.2009.69
Publisher: Elsevier BV
Date: 10-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer Berlin Heidelberg
Date: 2015
Publisher: IEEE
Date: 07-2018
Publisher: IEEE
Date: 06-2007
Publisher: Springer International Publishing
Date: 2014
Publisher: Springer International Publishing
Date: 2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2016
Publisher: Springer International Publishing
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 06-01-2010
Publisher: IEEE
Date: 06-2007
DOI: 10.1109/ICNS.2007.33
Publisher: Springer International Publishing
Date: 2015
Start Date: 2022
End Date: 2024
Funder: Australian Research Council
View Funded ActivityStart Date: 12-2022
End Date: 12-2025
Amount: $480,000.00
Funder: Australian Research Council
View Funded Activity