Wencheng Yang
Senior Lecturer (equal to Associate Professor in US) | University of Southern Queensland (UniSQ)
Research Interests: Biometrics, AI Security and Privacy
Wencheng[dot]Yang[at]unisq[dot]edu[dot]au
Google Scholar
About Me
- I received my PhD degree in computer science from the University of New South Wales, Australia.
- I am currently working as a senior lecturer (equal to Associate Professor in US) in the School of Mathematics, Physics and Computing at UniSQ, Australia.
- I have authored over 80 publications in the fields of Biometrics, AI Security and Privacy. My H-index is 31 (Google Scholar), and I have published in top-tier journals such as IEEE Transactions on Information Forensics and Security (CCF A), Pattern Recognition (CORE A*, with six papers published), IEEE Transactions on Industrial Informatics (impact factor 11.7), Artificial Intelligence Review (impact factor 10.7), among others.
- I have managed several research projects and received a total of over $770K AUD in grant funding.
Openings: Seeking Master's and PhD students, research interns, and visiting scholars. If you’re interested, please contact me via my email.
News
- 04/2025: Our survey "Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey" accepted by Artificial Intelligence Review (IF=10.7).
- 12/2024: Received 2024 UniSQ Learning and Teaching Award.
- 12/2024: Big Data and Privacy Session Chair at CBD 2024, Brisbane.
- 09/2024: Named among the "World's Top 2% Scientists" by Stanford University and Elsevier.
- 05/2024: Received 2023 School Research Performance Award, UniSQ.
- 01/2024: Promoted to Senior Lecturer.
- 02/2023: Paper accepted by IEEE Transactions on Network Science and Engineering.
- 02/2021: Best Paper Award at AISC 2021.
Research Grants
2023: | Securing Template Data for Artificial Intelligence Based Biometrics, Capacity Building Grants, UniSQ, $15,000. |
2021–2023: | Multi-factor Authentication in Medical Contexts for Pharmaceutical Dispensary Functions, Cyber Security Research Centre Ltd, Cyber Security Research Centre Masters Scholarship, $120,000. |
2019–2022: | Network Forensics and Responses to Emerging Threats, Cyber Security Research Centre Ltd, Postdoctoral Research Fellowship, $537,763. |
2019: | Securing Critical Data in the IoT: A Privacy-Preserving Fingerprint Biometric System, accepted by the National Security College (NSC) and Defence Science Technology (DST) for presentation at the Technology Surprise Forum of the 16th Safeguarding Australia Summit. Funding received from NSC and DST, $15,000. |
2017–2018: | Advanced Biometric Template Protection: Design of a Cancelable Biometric Framework, Defence Science and Technology Group of the Department of Defence, CERA Program, $97,729. |
2017: | Design of a Biometric Protection System using Feature Transformation Techniques, Edith Cowan University, School of Science Early Career Grant Scheme Semester 1, $8,700. |
Awards
2024: |
School Research Performance Award, UniSQ. |
2023: |
School Research Performance Award, UniSQ. |
2021: |
The Best Paper Award at Australasian Information Security Conference - AISC. |
2018: |
Early and Mid-Career Researcher Award, ECU. |
2014: |
Chinese Scholarship Council Outstanding Self-Financed Students Abroad. |
2014: |
High Impact Journal Publication Award, SEIT, UNSW. |
2013: |
Postgraduate Research Support Scheme (PRSS) funding, UNSW. |
2011: |
University International Postgraduate Award of UNSW. |
Selected Publications
- [SJR Q1; IF=5.1] W. Yang, S. Wang, J. Hu, X. Tao and Y. Li, "Feature extraction and learning approaches for cancellable biometrics: a survey". CAAI Transactions on Intelligence Technology. p. 22, 2024, doi: 10.1049/cit2.12283
- [SJR Q1; IF=6.6] H. Cui, X. Yang, W. Yang, B. Qin and X. Yi, "Token-Based Biometric Enhanced Key Derivation for Authentication Over Wireless Networks", IEEE Transactions on Network Science and Engineering, 2023.
- [SJR Q1; IF=5.6] W. Yang, S. Wang, J. J. Kang, M. N. Johnstone, and A. Bedari, "A linear convolution-based cancelable fingerprint biometric authentication system," Computers & Security, vol. 114, p. 102583, 2022.
- [SJR Q1; IF=10.6] W. Yang and S. Wang, “A Privacy-Preserving ECG-Based Authentication System for Securing Wireless Body Sensor Networks”, IEEE Internet of Things Journal, 2021, doi: 10.1109/JIOT.2021.3109609
- [SJR Q1; IF=11.2] W. Yang, S. Wang, G. Zheng, J. Yang, and C. Valli, "A Privacy-Preserving Lightweight Biometric System for Internet-of-Things Security," IEEE Communications Magazine, p. 6, 2019. doi:10.1109/MCOM.2019.1800378
- [SJR Q1; IF=12.3] W. Yang, S. Wang, J. Hu, G. Zheng, J. Yang, and C. Valli, "Securing Deep Learning Based Edge Finger-vein Biometrics with Binary Decision Diagram," IEEE Transactions on Industrial Informatics, p. 11, 2019. doi: 10.1109/TII.2019.2900665
- [SJR Q1; ERA: A*; IF=8.0] W. Yang, S. Wang, J. Hu, G. Zheng, and C. Valli, "A Fingerprint and Finger-vein Based Cancelable Multi-biometric System," Pattern Recognition, vol. 78, pp. 242-251, 2018.
- [SJR Q1; ERA: A; IF=6.8] W. Yang, J. Hu, and S. Wang, "A Delaunay Quadrangle-Based Fingerprint Authentication System With Template Protection Using Topology Code for Local Registration and Security Enhancement", IEEE Transactions on Information Forensics and Security, vol. 9, 2014, pp. 1179-1192.
- [SJR Q1; ERA: A*; IF=8.0] A. Bedari, S. Wang, and W. Yang, "Design of Cancelable MCC-Based Fingerprint Templates Using Dyno-Key Model," Pattern Recognition, vol. 119, p. 108074, 2021, doi: https://doi.org/10.1016/j.patcog.2021.108074.
- [SJR Q1; ERA: A*; IF=8.0] J. Moorfield, S. Wang, W. Yang, A. Bedari, and P. Van Der Kamp, "A Möbius transformation based model for fingerprint minutiae variations," Pattern Recognition, vol. 98, p. 107054, 2019. DOI: 10.1016/j.patcog.2019.107054.
- [SJR Q1; ERA: A*; IF=8.0] S. Wang, W. Yang, and J. Hu, "Design of Alignment-Free Cancelable Fingerprint Templates with Zoned Minutia Pairs." Pattern Recognition, vol. 66, 2017, pp. 295-301.
- [SJR Q1; IF=5.6] W. Yang, S. Wang, M. Shahzad, and W. Zhou, "A cancelable biometric authentication system based on feature-adaptive random projection," Journal of Information Security and Applications, vol. 58, p. 102704, 2021, doi:10.1016/j.jisa.2020.102704.
- [SJR Q1; ERA: A*; IF=7.7] G. Zheng, W. Yang, C. Valli, L. Qiao, R. Shankaran, M. A. Orgun, et al., "Finger-to-Heart (F2H): Authentication for Wireless Implantable Medical Devices," IEEE journal of biomedical and health informatics, 2018. DOI: 10.1109/JBHI.2018.2864796.
Full list: Google Scholar
Invited Talks
I was invited to deliver a number of guest speeches related to my research, which are listed as below:
- 10/2022: High Quality Paper Writing and Publishing
- 07/2022: An Introduction to Biometric Security
- 03/2021: Enterprise data access management
- 10/2020: Security and accuracy of biometric recognition systems
- 09/2019: AI is a double-edged sword in biometrics
- 07/2018: Bio-cryptography: A bridge between biometrics and cryptography
- 03/2018: An introduction to cancelable biometrics
- 07/2017: Biometrics will replace passwords. Is it a good or bad idea?
Teaching
- 2022: Computational Thinking with Python (CSC8100)
- 2022: Network Analysis and Design (CSC3413)
- 2023: Cyber Security Architecture (CSC8100)
- 2023: Penetration Testing (CSC8101)
- 2023: Security 1: Cybersecurity Foundations (CSC2320)