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Dr Yu Zhang

Dr Yu Zhang

Lecturer
UNSW Canberra
School of Business

Dr Zhang is a lecturer of data science at the School of Business, UNSW Canberra. 

His research interests contain text mining and analysis, knowledge and information management, social computing, and bibliometric analysis. 

He has applied his research to interdisciplinary areas and focused on publishing in prestige journals and conference, including Information Processing & Management, Journal of Informetrics, China Economic Review, Studies in Higher Education, AAAI, CIKM, and PAKDD, etc.

Scholarships of $38,438 per annum (2025 rate) are available to support PhD students for 3.5 years and Masters by Research students for 2 years.

 
E-mail
m.yuzhang@unsw.edu.au
  • Journal articles | 2024
    Becherer M; Hussain OK; Zhang Y; Den Hartog F; Chang E, 2024, 'On Trust Recommendations in the Social Internet of Things - A Survey', ACM Computing Surveys, 56, pp. 1 - 35, http://dx.doi.org/10.1145/3645100
    Journal articles | 2024
    Prior DD; Mysore Seshadrinath S; Zhang M; McCormack M, 2024, 'Measuring sustainable development goals (SDGs) in higher education through semantic matching', Studies in Higher Education, http://dx.doi.org/10.1080/03075079.2024.2386625
    Journal articles | 2024
    Wei J; Yang Z; Luo Q; Zhang Y; Qin L; Zhang W, 2024, 'High-Order Local Clustering on Hypergraphs', ICST Transactions on Scalable Information Systems, 11, http://dx.doi.org/10.4108/eetsis.7431
    Journal articles | 2024
    Zipperle M; Zhang Y; Chang E; Dillon T, 2024, 'PARGMF: A provenance-enabled automated rule generation and matching framework with multi-level attack description model', Journal of Information Security and Applications, 81, pp. 103682, http://dx.doi.org/10.1016/j.jisa.2023.103682
    Journal articles | 2023
    Zhang Y; Chand S, 2023, 'Impact of COVID-19 on Utilisation of Funds by People With Disabilities: Lessons Drawn From the Australian National Disability Insurance Scheme', International Journal of Health Policy and Management, http://dx.doi.org/10.34172/ijhpm.2023.7663
    Journal articles | 2023
    Zhang Y; Wang M; Zipperle M; Abbasi A; Tani Bertuol M, 2023, 'RelRank: A Relevance-based Author Ranking Algorithm for Individual Publication Venues', Information Processing and Management, 60, pp. 103156, http://dx.doi.org/10.1016/j.ipm.2022.103156
    Journal articles | 2023
    Zhang Y; Wang M; Zipperle M; Abbasi A; Tani M, 2023, 'Ranking academic authors for publication venues based on relevance-based co-authorship network', Science Talks, 7, pp. 100231 - 100231, http://dx.doi.org/10.1016/j.sctalk.2023.100231
    Journal articles | 2022
    Chand S; Zhang Y, 2022, 'Learning from machines to close the gap between funding and expenditure in the Australian National Disability Insurance Scheme', International Journal of Information Management Data Insights, 2, http://dx.doi.org/10.1016/j.jjimei.2022.100077
    Journal articles | 2022
    Tani Bertuol M; Zhang Y; Zimmermann K; Piracha M, 2022, 'Higher Education Expansion and the Rise of China in Economics Research', China Economic Review (Amsterdam), 74, pp. 101813, http://dx.doi.org/10.1016/j.chieco.2022.101813
    Journal articles | 2022
    Zhang Y; Wang M; Saberi M; Chang E, 2022, 'Analysing academic paper ranking algorithms using test data and benchmarks: an investigation', Scientometrics, http://dx.doi.org/10.1007/s11192-022-04429-z
    Journal articles | 2021
    Koutroumpinas P; Zhang Y; Wallis S; Chang E, 2021, 'An Artificial Intelligence Empowered Cyber Physical Ecosystem for Energy Efficiency and Occupation Health and Safety', Energies, 14, pp. 4214 - 4214, http://dx.doi.org/10.3390/en14144214
    Journal articles | 2021
    Zhang Y; Saberi M; Chang E, 2021, 'Towards solution-oriented knowledge recommendation', ACM SIGWEB Newsletter, 2021, pp. 1 - 8, http://dx.doi.org/10.1145/3460304.3460308
    Journal articles | 2021
    Zhang Y; Zhao P; Chang E, 2021, 'Blockchain and Palm Scanning Integrated System (BPIS) for Workplace Access Control and Contact Tracing', Engineering Intelligent Systems, 29, pp. 353 - 353, https://website-eis.crlpublishing.com/index.php/eis/article/view/1614
    Journal articles | 2020
    Zhang Y; Wang M; Saberi M; Chang E, 2020, 'Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges', Scientometrics, http://dx.doi.org/10.1007/s11192-020-03683-3
    Journal articles | 2020
    Zipperle M; Becherer M; Gottwalt F; Zhang Y; Wang K, 2020, 'An ai-based automated continuous compliance awareness framework (CoCAF) for procurement auditing', Big Data and Cognitive Computing, 4, pp. 1 - 14, http://dx.doi.org/10.3390/bdcc4030023
    Journal articles | 2020
    Zipperle M; Becherer M; Gottwalt F; Zhang Y; Wang K, 2020, 'An ai-based automated continuous compliance awareness framework (CoCAF) for procurement auditing', Big Data and Cognitive Computing, 4, pp. 1 - 14, http://dx.doi.org/10.3390/bdcc4030023
    Journal articles | 2019
    Zhang Y; Wang M; Gottwalt F; Saberi M; Chang E, 2019, 'Ranking scientific articles based on bibliometric networks with a weighting scheme', Journal of Informetrics, 13, pp. 616 - 634, http://dx.doi.org/10.1016/j.joi.2019.03.013
    Journal articles | 2019
    Zhang Y; Wang M; Saberi M; Chang E, 2019, 'From Big Scholarly Data to Solution-Oriented Knowledge Repository', Frontiers in Big Data, 2, pp. 38, http://dx.doi.org/10.3389/fdata.2019.00038
    Journal articles | 2018
    Zhang Y; Saberi M; Chang E, 2018, 'A semantic-based knowledge fusion model for solution-oriented information network development: a case study in intrusion detection field', Scientometrics, 117, pp. 857 - 886, http://dx.doi.org/10.1007/s11192-018-2904-6
  • Conference Papers | 2024
    Wang M; Boshuijzen-van Burken C; Sun N; Kasra Kermanshahi S; Zhang Y; Hu J, 2024, 'VirtuGuard: Ethically Aligned Artificial Intelligence Framework for Cyberbullying Mitigation', Singapore, presented at 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 23 June 2024, http://dx.doi.org/10.1109/CAI59869.2024.00271
    Conference Papers | 2024
    Zhang Y; Bui HT; Zipperle M; Buick F; Chand S; Hussain O; Wang M; Mo H; Zhang W, 2024, 'Perception Gaps Between Hashtag Stakeholders on X (Twitter) - Application on the Australian National Disability Insurance Scheme (#NDIS)', in 2024 IEEE International Conference on e-Business Engineering (ICEBE), IEEE, pp. 117 - 124, presented at 2024 IEEE International Conference on e-Business Engineering (ICEBE), 11 October 2024 - 13 October 2024, http://dx.doi.org/10.1109/icebe62490.2024.00027
    Conference Papers | 2024
    Zhao M; Hussain O; Zhang Y; Saberi M; Leshob A, 2024, 'Enhancing Supply Chain Risk Management with Large Language Models: Software Prototyping and Interactive Visualization', in 2024 IEEE International Conference on e-Business Engineering (ICEBE), IEEE, pp. 284 - 291, presented at 2024 IEEE International Conference on e-Business Engineering (ICEBE), 11 October 2024 - 13 October 2024, http://dx.doi.org/10.1109/icebe62490.2024.00051
    Conference Papers | 2024
    Zhao M; Hussain O; Zhang Y; Saberi M, 2024, 'Optimizing Supply Chain Risk Management: An Integrated Framework Leveraging Large Language Models', in 2024 IEEE Conference on Artificial Intelligence (CAI), IEEE, Singapore, presented at 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 23 June 2024, http://dx.doi.org/10.1109/CAI59869.2024.00192
    Conference Papers | 2022
    Zhang Y; Wang M; Zipperle M; Abbasi A; Saberi M, 2022, 'S-index: Significance of Academic Authors to Individual Publication Venues', in Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, http://dx.doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927818
    Conference Papers | 2022
    Zipperle M; Gottwalt F; Zhang Y; Hussain O; Chang E; Dillon T, 2022, 'A Conceptual Framework for Automated Rule Generation in Provenance-based Intrusion Detection Systems', in Proceedings of the 2022 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2022, http://dx.doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9927863
    Conference Papers | 2020
    Wang K; Zhang Y; Chang E, 2020, 'A conceptual model for blockchain-based auditing information system', in ACM International Conference Proceeding Series, pp. 101 - 107, http://dx.doi.org/10.1145/3409934.3409949
    Conference Papers | 2020
    Zhang Y; Wang M; Saberi M; Chang E, 2020, 'Towards Expert Preference on Academic Article Recommendation Using Bibliometric Networks', Singapore, presented at Pacific-Asia Conference on Knowledge Discovery and Data Mining, Singapore, 11 May 2020, http://dx.doi.org/10.1007/978-3-030-60470-7_2
    Conference Papers | 2020
    Zipperle M; Gottwalt F; Becherer M; Wang K; Zhang Y; Chang E, 2020, 'A Machine Learning and Blockchain Platform for Operation Risk Management - An Application to Real-time Risk Awareness System Development', Springer Singapore, India, pp. 1053 - 1061, presented at Virtual International Conference on Futuristic Communication and Network Technologies, India, 06 November 2020, http://dx.doi.org/10.1007/978-981-16-4625-6_104
    Conference Papers | 2019
    Zhang Y; Saberi M; Wang M; Chang E, 2019, 'K3S: Knowledge-Driven Solution Support System', in Proceedings of the AAAI Conference on Artificial Intelligence, Honolulu,Hawaii, USA, pp. 9873 - 9874, presented at Thirty-Third AAAI Conference on Artificial Intelligence AAAI 19, Honolulu,Hawaii, USA, 27 January 2019, http://dx.doi.org/10.1609/aaai.v33i01.33019873
    Conference Papers | 2018
    Zhang Y; Saberi M; Chang E; Abbasi A, 2018, 'Solution and Reference Recommendation System Using Knowledge Fusion and Ranking', in Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018, pp. 31 - 38, http://dx.doi.org/10.1109/ICEBE.2018.00016
    Conference Papers | 2017
    Chang E; Gottwalt F; Zhang Y, 2017, 'Cyber situational awareness for CPS, 5G and IoT', Springer, pp. 147 - 161, http://dx.doi.org/10.1007/978-981-10-4235-5_10
    Conference Papers | 2017
    Zhang Y; Saberi M; Chang E, 2017, 'Semantic-based lightweight ontology learning framework: A case study of intrusion detection ontology', in Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017, Leipzig, Germany, pp. 1171 - 1177, presented at International Conference on Web Intelligence, Leipzig, Germany, 23 August 2017 - 26 August 2017, http://dx.doi.org/10.1145/3106426.3109053

  1. 2025-2026 CI in the project "Delivering net-zero energy buildings: A next-generation hybrid energy system with demand-side management", TRaCE Lab to Market fund, $1,057,105 in total.
  2. 2022-2024 Lead CI of Business Incentive Research funding. $95,000 in total.
  3. 2024 CI of UNSW Global Research and Innovation Partnerships. $20,000.
  4. 2020-2024 Supervisor of two Cyber Security Cooperative Research Centre (CSCRC) sponsored PhD. $120,000 in total

- 2024 Best Paper Award (Runner-up) in the 20th International Conference on Advanced Data Mining and Applications (ADMA 2024)

- 2024 Excellent Paper Award in the 20th IEEE International Conference on e-Business Engineering (ICEBE 2024)

My Research Supervision

Knowledge retrieval from grey literature based on contextual representation and reasoning

Lightweight modeling of actions for financial and business applications

Federated learning and natural language processing to combat healthcare insurance fraud

Trust recommendations in the Social Internet of Things (SIoT)

Provenance-based intrusion detection systems

Closed workforce turnover predictors

Tier-based supply chain visibility for informed risk and opportunity management

Blockchain- and fuzzy logic-based carbon offset management

 

My Teaching

ZBUS2333 - Data Analytics and Visualisation

ZBUS8312 - Logistics Intelligence and Big Data Analysis