Overview
Key publications
Research funding
Supervising & teaching
Career
Section: Overview
Overview
Key publications
Research funding
Supervising & teaching
Career

Key details

Areas of expertise

  • Cybersecurity
  • Knowledge graph
  • Vulnerability assessement
  • Graph neural networks
  • Deep learning applications

Available to supervise research students

Not available for media queries

About Jiao Yin

Dr Jiao Yin is an active researcher with an excellent work ethic and solid knowledge and skills in machine learning and data analysis, with a particular focus on cybersecurity, knowledge graph, vulnerability assessment, privacy preservation and access control. Jiao is now a full-time research fellow in the Institute for Sustainable Industries and Liveable Cities (ISILC) at Victoria University. She has strong research, analytical and problem-solving skills developed through completing PhD research and working as a research assistant, research fellow and lecturer. She also has diverse research and teaching experiences and proven abilities to present complex material in a clear, concise and persuasive manner.
 
As an early-career researcher, Jiao has published 14 refereed scholar papers, including 6 Q1 Journal (SCImago 2021) papers in machine learning, cyber security, Artificial Intelligence, privacy-preserving and data analysis. Representative publications are on:

  • IEEE Transactions on Industrial Informatics
  • Knowledge-Based System
  • Neurocomputing
  • World Wide Web
  • Proceedings of GECC, WISE and ADC

 

Jiao devotes herself to the academic community in various roles. She is a reviewer for a series of journals and conferences, such as KBS, MBEC, CIKM, BIBE, HISS and IEEE Access. Jiao is also involved in many prestigious international conferences, such as PC members (2022 HIS) and session chair (WISE 2021).

Her current research & supervision interests include:

  • Algorithm development and applications in cybersecurity, such as access control and software vulnerability risk assessment 
  • Algorithm development and applications in machine learning and deep learning, including but not limited to concept drift learning, Natural Language Processing and image processing
  • Algorithm development and applications in knowledge graph, graph database and graph neural networks

Qualifications

  • PhD, La Trobe University, Australia, 2022
  • MEng, Sun Yat-Sen University, China, 2013
  • BEng, Northeastern University, China, 2010

Key publications

Jiao has over 29 publications, with a selection listed here.


A more comprehensive list of Jiao's publications is available in the VU Research Repository.

Year Citation
2021 You, M., Yin, J., Wang, H., Cao, J., & Miao, Y. (210101). A Minority Class Boosted Framework for Adaptive Access Control Decision-Making Paper presented at Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 143-157).

doi: 10.1007/978-3-030-90888-1_12
2020 Yin, J., Tang, M. J., Cao, J., Wang, H., You, M., & Lin, Y. (200101). Adaptive Online Learning for Vulnerability Exploitation Time Prediction Paper presented at Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 252-266).

doi: 10.1007/978-3-030-62008-0_18
2020 Yin, J., You, M., Cao, J., Wang, H., Tang, M. J., & Ge, Y. F. (200101). Data-Driven Hierarchical Neural Network Modeling for High-Pressure Feedwater Heater Group Paper presented at Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 225-233).

doi: 10.1007/978-3-030-39469-1_19
2019 Ge, Y. F., Cao, J., Wang, H., Yin, J., Yu, W. J., Zhan, Z. H., & Zhang, J. (190713). A benefit-driven genetic algorithm for balancing privacy and utility in database fragmentation Paper presented at GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference (pp. 771-776).

doi: 10.1145/3321707.3321778

Year Citation
2023 Yin, J., Tang, M. J., Cao, J., You, M., Wang, H., & Alazab, M. (230401). Knowledge-Driven Cybersecurity Intelligence: Software Vulnerability Coexploitation Behavior Discovery. IEEE Transactions on Industrial Informatics, 19(4), (5593-5601).

doi: 10.1109/TII.2022.3192027
2023 You, M., Yin, J., Wang, H., Cao, J., Wang, K., Miao, Y., & Bertino, E. (230301). A knowledge graph empowered online learning framework for access control decision-making. World Wide Web, 26(2), (827-848).

doi: 10.1007/s11280-022-01076-5
2022 Yin, J., Tang, M. J., Cao, J., Wang, H., & You, M. (220201). A real-time dynamic concept adaptive learning algorithm for exploitability prediction. Neurocomputing, 472 (252-265).

doi: 10.1016/j.neucom.2021.01.144
2022 Yin, J., Tang, M. J., Cao, J., Wang, H., You, M., & Lin, Y. (220101). Vulnerability exploitation time prediction: an integrated framework for dynamic imbalanced learning. World Wide Web, 25(1), (401-423).

doi: 10.1007/s11280-021-00909-z
2021 Tang, M. J., Yin, J., Alazab, M., Cao, J., & Luo, Y. (210601). Modeling of Extreme Vulnerability Disclosure in Smart City Industrial Environments. IEEE Transactions on Industrial Informatics, 17(6), (4150-4158).

doi: 10.1109/TII.2020.3022182
2020 Yin, J., Tang, M. J., Cao, J., & Wang, H. (201227). Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description. Knowledge-Based Systems, 210

doi: 10.1016/j.knosys.2020.106529

Research funding for the past 5 years

Funding details for this researcher are currently unavailable.

Supervision of research students at VU

Available to supervise research students

Not available for media queries

Currently supervised research students at VU

No. of students Study level Role
1 PhD Integrated Associate supervisor
1 PhD Associate supervisor

Currently supervised research students at VU

Students & level Role
PhD Integrated (1) Associate supervisor
PhD (1) Associate supervisor

Teaching activities & experience

Jiao believes that teaching is a creative activity designed to foster students' learning, enhance their ability, boost their desire to undertake scholarly work, and promote their professional development. Jiao aims to make the learning journey as inspiring, creative and productive as possible. Her style and teaching method emphasise students' engagement and competency development.  

Jiao was the Unit Coordinator of NIT3202 Data Analytics for Cyber Security in 2022 WB, 2022 S2B1 and 2022 H2B2 for VU Sydney campus.
She was also the instructor of NIT3202 Data Analytics for Cyber Security in 2022 S2B1 for VU Footscray Park Campus. 

 

Key academic roles

Dates Role Department / Organisation
Mar 2022 - Present
Research Fellow
Victoria University
Jul 2013 - Mar 2018
Lecturer
Chongqing University of Arts and Sciences
Dates Role & Department/Organisation
Mar 2022 -
Present
Research Fellow
Victoria University
Jul 2013 -
Mar 2018
Lecturer
Chongqing University of Arts and Sciences