• 1837 Citations
  • 25 h-Index
1995 …2022
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Personal profile

Biography

Research Interests: trust management, social networks, crowdsourcing, services computing, recommender systems, cyber security

Education and Work Experience: Dr. Yan Wang is currently a Professor in the Department of Computing, Macquarie University, Australia . He received his B. Eng, M. Eng and Doctorate Degree of Engineering in computer science and technology in 1988, 1991 and 1996 respectively from Harbin Institute of Technology (HIT), China. From Nov. 1999 to June 2003, he was a Postdoctoral Fellow/Research Fellow in the Department of Computer Science, School of Computing, National University of Singapore (NUS), Singapore.

Research and Services:

Dr. Yan Wang now serves on the editorial board of IEEE Transactions on Services Computing (TSC) by IEEE, Service-Oriented Computing & Applications (SOCA) by Springer, Human-centric Computing and Information Sciences (HCIS) by Springer, and Frontiers in Big Data by Frontiers. He also served as a guest co-editor of a special track on trusted computing of IEEE Access in 2017, and a special track on e-commerce of IEEE Internet Computing in 2008. Dr. Yan Wang has served as a Program co-Chair of IEEE SCC 2011, ATC 2011, IEEE MS2014, IEEE SCC2018, IEEE SOSE2018, and a General co-Chair of IEEE ATC2013, IEEE ATC2014, IEEE MS2015, IEEE ICWS2016 and IEEE CLOUD2017, SWC2018 and AWC2019.

Awards:

  • Outstanding Service Award,  IEEE Technical Committee on Service Computing (TCSVC), 2017
  • Best Student Paper Award & Top 5 Picks Award, Jun Zou, Yan Wang and Mehmet Orgun, A Dispute Arbitration Protocol Based on a Peer-to-Peer Service Contract Management Scheme, 23rd International Conference on Web Services (IEEE ICWS2016, research track, acceptance rate 14%), June 27-July 2, 2016, San Francisco, USA (CORE rank A)
  • Vice-Chancellor’s Faculty Award for Excellence in Higher Degree Research Supervision, Faculty of Science, Macquarie University, 2014
  • Best Paper Award, Haibin Zhang, Yan Wang and Xiuzhen Zhang, Efficient Contextual Transaction Trust Computation in E-Commerce Environments, 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2012) (acceptance rate: 100/358 = 28%), 25-27 June 2012, Liverpool, UK (CORE rank A)
  • Best Paper Award, Guanfeng Liu, Yan Wang, Mehmet A. Orgun and Ee-Peng Lim, A Heuristic Algorithm for Trust-Oriented Service Provider Selection in Complex Social Networks, IEEE The 7th International Conference on Services Computing (IEEE SCC2010) (research track, acceptance rate: 29/165 =18%), July 5-10, 2010, Miami, Florida, USA (CORE rank A)

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Projects 2003 2022

Combating Fake News on Social Media: From Early Detection to Intervention

Zhang, X., Wang, Y. & Liu, H.

1/01/2031/12/22

Project: Research

Reputation-based Trust Management in Crowdsourcing Environments

Wang, Y., Sheng, Q., Orgun, M., MQRES (International), M. (. & MQRES, M.

1/01/1831/12/20

Project: Research

Reputation-based Trust Framework for Composed Services

Bouguettaya, A., Wang, Y. & Bertino, E.

16/02/15 → …

Project: Research

reputation

A Personalized Social Network Based Location Search and Recommender System

Yang, J., Orgun, M., Wang, Y., Air, M., Eichhorn, B. & Rej, T.

1/05/13 → …

Project: Research

A Large-Scale Distributed Experimental Facility for the Internet of Things

Sheng, Q., Bouguettaya, A., Loke, S., Li, X., Liang, W., Benattalah, B., Ali Babar, M., Yang, J., Zomaya, A. Y., Wang, Y., Zhou, W., Yao, L., Taylor, K. & Bergmann, N.

1/01/1831/12/19

Project: Research

Research Outputs 1995 2019

A Proof-of-Trust consensus protocol for enhancing accountability in crowdsourcing services

Zou, J., Ye, B., Qu, L., Wang, Y., Orgun, M. A. & Li, L., Jun 2019, In : IEEE Transactions on Services Computing. 12, 3, p. 429-445 17 p.

Research output: Contribution to journalArticleResearchpeer-review

Fault tolerance
Scalability
Industry
Throughput
Crowdsourcing

DTCDR: a framework for Dual-Target Cross-Domain Recommendation

Zhu, F., Chen, C., Wang, Y., Liu, G. & Zheng, X., 1 Nov 2019, CIKM '19: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. New York: Association for Computing Machinery (ACM), p. 1533-1542 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Recommender systems
Experiments

Joint operator scaling and placement for Distributed Stream Processing applications in edge computing

Peng, Q., Xia, Y., Wang, Y., Wu, C., Luo, X. & Lee, J., Nov 2019, Service-Oriented Computing: 17th International Conference, ICSOC 2019, Proceedings. Yangui, S., Rodriguez, I. B., Drira, K. & Tari, Z. (eds.). Switzerland: Springer, Springer Nature, p. 461-476 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11895 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Data flow graphs
Processing
Quality of service
Integer programming
Cost effectiveness

N2TM: a new node to trust matrix method for spam worker defense in crowdsourcing environments

Ye, B., Wang, Y., Orgun, M. & Sheng, Q. Z., 2019, Service-Oriented Computing: 17th International Conference, ICSOC 2019, Proceedings. Yangui, S., Bouassida Rodriguez, I., Drira, K. & Tari, Z. (eds.). Switzerland: Springer, p. 119-134 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11895 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Spam
Matrix Method
Vertex of a graph
Experiments
Deep learning

Sequential recommender systems: challenges, progress and prospects

Wang, S., Hu, L., Wang, Y., Cao, L., Sheng, Q. Z. & Orgun, M., Aug 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, Vol. 2019-August. p. 6332-6338 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Recommender systems
Collaborative filtering