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). |
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). |
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). |
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). |
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). |
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 |
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 31 publications, with a selection listed here.
A more comprehensive list of Jiao's publications is available in the VU Research Repository.
Conference paper (showing 4)
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). |
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). |
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). |
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). |
Journal article (showing 6 of 16)
Research funding for the past 5 years
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 |
Completed supervision of research students at VU
No. of students | Study level | Role |
---|---|---|
1 | PhD | Associate supervisor |
Completed supervision of research students at VU
Students & level | Role |
---|---|
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 |