Profile
PhD Supervisor/Assistant Professor, currently Deputy Director of Software Engineering and Director of International Affairs at Macquarie University in Australia. Professor Zheng specializes in safety and reliability analysis of automated systems, service computing, and motion recognition. He has published more than 60 high-quality publications in top journals and conferences, including more than 30 SCI-indexed papers and several EI-indexed papers. He received the best paper award at the Australian Distributed Computing and Doctoral Consortium in 2017 and the Deakin Research Excellence Award in 2016. One of his papers on system security received the world's top 20 impact award in the world-renowned journal CCPE in 2018. In 2018, another of Professor Zheng's papers on IoT security received high citations. In 2019, a paper on sensor ensemble learning was accepted by IEEE Communications Surveys and Tutorials with an impact factor of 22. Professor Zheng serves as a journal editor and review committee member for multiple top conferences and journals around the world, as well as serving as the conference chair for top conferences.
Education
Bachelor of Computer Information Systems, Fudan University
Master of Computer and Information Science, University of New South Wales
Ph.D. in Software Engineering, University of Texas at Austin
Refereed Journal Articles
• Xu, G., Xin, G., Jiao, L., Liu, J., Liu, S., Feng, M. and Zheng, X., 2021. OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS. IEEE Transactions on Computers.
• Lin, X., Wu, J., Li, J., Zheng, X. and Li, G., 2021. Friend-as-Learner: Socially-Driven Trustworthy and Efficient Wireless Federated Edge Learning. IEEE Transactions on Mobile Computing.
• Lu, J., Zheng, X., Tang, L., Zhang, T., Sheng, Q.Z., Wang, C., Jin, J., Yu, S. and Zhou, W., 2021. Can Steering Wheel Detect Your Driving Fatigue. IEEE Transactions on Vehicular Technology.
• Deng, Y., Zhang, T., Lou, G., Zheng, X., Jin, J. and Han, Q.L., 2021. Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses. IEEE Transactions on Industrial Informatics.
• Wang, T., Lu, Y., Wang, J., Dai, H.N., Zheng, X. and Jia, W., 2021. EIHDP: Edge-intelligent hierarchical dynamic pricing based on cloud-edge-client collaboration for IoT systems. IEEE Transactions on Computers.
• Li, Y., Zhou, Y., Jolfaei, A., Yu, D., Xu, G. and Zheng, X., 2020. Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing. IEEE Internet of Things Journal, 8(8), pp.6178-6186.
• Zhang, C., Wu, X., Lu, J., Zheng, X., Jolfaei, A., Sheng, Q.Z. and Yu, D., 2021. RICA-MD: a refined ICA algorithm for motion detection. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 17(1s), pp.1-17.
• Zhang, T., Shen, Z., Jin, J., Zheng, X., Tagami, A. and Cao, X., 2020. Achieving democracy in edge intelligence: A fog-based collaborative learning scheme. IEEE Internet of Things Journal, 8(4), pp.2751-2761.
• Li, L., Li, X., Yang, S., Ding, S., Jolfaei, A. and Zheng, X., 2020. Unsupervised-Learning-Based Continuous Depth and Motion Estimation With Monocular Endoscopy for Virtual Reality Minimally Invasive Surgery. IEEE Transactions on Industrial Informatics, 17(6), pp.3920-3928.
• Lu, J., Zheng, X., Sheng, M., Jin, J. and Yu, S., 2020. Efficient human activity recognition using a single wearable sensor. IEEE Internet of Things Journal, 7(11), pp.11137-11146.
• Zhou, G., Xu, G., Hao, J., Chen, S., Xu, J. and Zheng, X., 2019. Generalized centered 2-D principal component analysis. IEEE Transactions on Cybernetics.
• Zheng, X., Julien, C., Chen, H., Podorozhny, R. and Cassez, F., 2017. Real-time simulation support for runtime verification of cyber-physical systems. ACM Transactions on Embedded Computing Systems, 16(4), pp.1-24.
• Zheng, X., Julien, C., Kim, M. and Khurshid, S., 2015. Perceptions on the state of the art in verification and validation in cyber-physical systems. IEEE Systems Journal, 11(4), pp.2614-2627.
Referred Conference Proceedings
• Lee, S., Zheng, X., Hua, J., Vikalo, H. and Julien, C., 2021, March. Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications. In 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom) (pp. 1-8). IEEE.
• Deng, Y., Zheng, X., Zhang, T., Chen, C., Lou, G. and Kim, M., 2020, March. An analysis of adversarial attacks and defenses on autonomous driving models. In 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom) (pp. 1-10). IEEE.
• Li, R., Liu, X., Zheng, X., Zhang, C. and Liu, H., 2020, May. TDD4Fog: A Test-Driven Software Development Platform for Fog Computing Systems. In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) (pp. 673-676). IEEE.
• Fu, M., Guan, J., Zheng, X., Zhou, J., Lu, J., Zhang, T., Zhuo, S., Zhan, L. and Yang, J., 2020, December. ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses. In International Conference on Service-Oriented Computing (ICSOC) (pp. 370-385). Springer, Cham.
• Zhang, T., Shen, Z., Jin, J., Tagami, A., Zheng, X. and Yang, Y., 2019, October. ESDA: An energy-saving data analytics fog service platform. In International Conference on Service-Oriented Computing (ICSOC) (pp. 171-185). Springer, Cham.
• Zheng, X., Julien, C., Podorozhny, R. and Cassez, F., 2015, October. Braceassertion: Runtime verification of cyber-physical systems. In 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS) (pp. 298-306). IEEE.
