• Google Schoolar

  • Permutation-Invariant Tabular Data Synthesis
    • Yujin Zhu, Zilong Zhao*, Robert Birke, Lydia Y. Chen
    • IEEE Conference on Big Data, 2022
  • Federated Learning for Tabular Data: Exploring Potential Privacy Risk
    • Han Wu*, Zilong Zhao*, Lydia Y. Chen, Aad Van Moorsel
    • The International Symposium on Software Reliability Engineering (ISSRE), 2022
    • [pdf]
  • Barrier Lyapunov function-based fixed-time FTC for high-order nonlinear systems with predefined tracking accuracy
    • Xiaolin Wang, Jihui Xu, Maolong Lv, Lei Zhang, Zilong Zhao
    • Nonlinear Dynamics, 2022
    • [pdf]
  • Fuzzy Adaptive Prescribed Performance Fault-Tolerant Control for HFVs with Fixed-Time Convergence Guarantee
    • Zehong Dong, Yinghui Li, Maolong Lv, Zilong Zhao and Binbin Pei
    • International Journal of Aerospace Engineering, 2022
    • [pdf]
  • CTAB-GAN: Effective Table Data Synthesizing
    • Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen
    • The 13th Asian Conference on Machine Learning, 2021
    • [pdf]
  • QActor: Active Learning on Noisy Labels
    • Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen
    • The 13th Asian Conference on Machine Learning, 2021
    • [pdf]
  • Enhancing Robustness of On-line Learning Models on Highly Noisy Data
    • Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen
    • IEEE Transactions on Dependable and Secure Computing (TDSC), 2021
    • [pdf] [code]
  • The validation of a mobile sensor-based neuro behavioral assessment with machine learning analytics
    • Kelly L. Sloane, Joel A. Mefford, Zilong Zhao, Man Xu, Guifeng Zhou, Rachel Mace, Amy E Wright, Shenly Glenn
    • Cognitive and Behavioral neurology, 2021
    • [pdf]
  • Event-Based Control for Online Training of Neural Networks
    • Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand
    • IEEE Control Systems Letters (L-CSS), volume. 4, pages 773-778, 2020.
    • [pdf] [code]
  • An Exploratory Analysis on Users’ Contributions in Federated Learning
    • Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Boucchenak, Lydia Y. Chen, and Stefanie Roos
    • IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Ap-plications (TPS-ISA), page 20-29, Atlanta, GA, USA. 2020.
    • [pdf]
  • Feedback Control for Online Training of Neural Networks
    • Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand
    • IEEE Conference on Control Technology and Applications, page 136-141, Hong Kong, China. Aug 2019.
    • [pdf] [code]
  • Robust Anomaly Detection on Unreliable Data
    • Zilong Zhao, Sophie Cerf, Robert Birke, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen.
    • 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019), page630–637, Portland, Oregon, United States. Jun 2019.
    • [pdf] [code]
  • Robust (Deep) Learning Framework Against Dirty Labels and Beyond
    • Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen.
    • IEEE International Conference on Trust, Privacy and Security in Intelligent Systemsand Applications, page 236–244, Los Angeles, California, United States. Dec 2019.
    • [pdf]
  • Modelling and Dynamic Analysis of the Domestic Demand Influence on the Economic Growth of China
    • Zilong Zhao, Louis Job, Luc Dugard, Bogdan Robu.
    • Conference on International Development Economics, CERDI, Clermont-Ferrand, France. Nov 2018.
    • [Abstract]