Zilong Zhao

According to our database, Zilong Zhao authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Prescribed-Time Neural Control of Nonlinear Systems via Dynamic Surface Technique.

Ping Wang, Chengpu Yu, Maolong Lv, Zilong Zhao

IEEE Trans. Artif. Intell., October, 2024

CTAB-GAN+: enhancing tabular data synthesis.

Zilong Zhao, Aditya Kunar, Robert Birke, Hiek Van der Scheer, Lydia Y. Chen

Frontiers Big Data, 2024

TabVFL: Improving Latent Representation in Vertical Federated Learning.

Mohamed Rashad, Zilong Zhao, Jeremie Decouchant, Lydia Y. Chen

CoRR, 2024

2023

TabuLa: Harnessing Language Models for Tabular Data Synthesis.

Zilong Zhao, Robert Birke, Lydia Y. Chen

CoRR, 2023

GTV: Generating Tabular Data via Vertical Federated Learning.

Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen

CoRR, 2023

Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks.

Zilong Zhao, Jiyue Huang, Lydia Y. Chen, Stefanie Roos

Proceedings of the Financial Cryptography and Data Security, 2023

Modelling and Optimal Control of MIMO System - France Macroeconomic Model Case.

Zilong Zhao, Bogdan Robu, Ioan Doré Landau, Luc Dugard, Nicolas Marchand, Louis Job

Proceedings of the European Control Conference, 2023

Fabricated Flips: Poisoning Federated Learning without Data.

Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform.

Zilong Zhao, Robert Birke, Lydia Y. Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GDTS: GAN-Based Distributed Tabular Synthesizer.

Zilong Zhao, Robert Birke, Lydia Y. Chen

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

FCT-GAN: Enhancing Table Synthesis via Fourier Transform.

Zilong Zhao, Robert Birke, Lydia Y. Chen

CoRR, 2022

CTAB-GAN+: Enhancing Tabular Data Synthesis.

Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen

CoRR, 2022

Blind leads Blind: A Zero-Knowledge Attack on Federated Learning.

Jiyue Huang, Zilong Zhao, Lydia Y. Chen, Stefanie Roos

CoRR, 2022

Attacks and Defenses for Free-Riders in Multi-Discriminator GAN.

Zilong Zhao, Jiyue Huang, Stefanie Roos, Lydia Y. Chen

CoRR, 2022

Federated Learning for Tabular Data: Exploring Potential Risk to Privacy.

Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Permutation-Invariant Tabular Data Synthesis.

Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen

Proceedings of the IEEE International Conference on Big Data, 2022

2021

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 Trans. Dependable Secur. Comput., 2021

ComicGAN: Text-to-Comic Generative Adversarial Network.

Ben Proven-Bessel, Zilong Zhao, Lydia Y. Chen

CoRR, 2021

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data.

Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen

CoRR, 2021

DTGAN: Differential Private Training for Tabular GANs.

Aditya Kunar, Robert Birke, Zilong Zhao, Lydia Y. Chen

CoRR, 2021

CTAB-GAN: Effective Table Data Synthesizing.

Zilong Zhao, Aditya Kunar, Hiek Van der Scheer, Robert Birke, Lydia Y. Chen

CoRR, 2021

QActor: Active Learning on Noisy Labels.

Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen

Proceedings of the Asian Conference on Machine Learning, 2021

CTAB-GAN: Effective Table Data Synthesizing.

Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Extracting Knowledge from Macroeconomics, Images and Unreliable Data. (Extractions de Connaissances de Données Macroéconomiques, d'Images et de Données Non Fiables).

Zilong Zhao

PhD thesis, 2020

Event-Based Control for Online Training of Neural Networks.

Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand

IEEE Control. Syst. Lett., 2020

QActor: On-line Active Learning for Noisy Labeled Stream Data.

Taraneh Younesian, Zilong Zhao, Amirmasoud Ghiassi, Robert Birke, Lydia Y. Chen

CoRR, 2020

An Exploratory Analysis on Users' Contributions in Federated Learning.

Jiyue Huang, Rania Talbi, Zilong Zhao, Sara Bouchenak, Lydia Y. Chen, Stefanie Roos

Proceedings of the Second IEEE International Conference on Trust, 2020

2019

RAD: On-line Anomaly Detection for Highly Unreliable Data.

Zilong Zhao, Robert Birke, Rui Han, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen

CoRR, 2019

Robust (Deep) Learning Framework Against Dirty Labels and Beyond.

Amirmasoud Ghiassi, Taraneh Younesian, Zilong Zhao, Robert Birke, Valerio Schiavoni, Lydia Y. Chen

Proceedings of the First IEEE International Conference on Trust, 2019

Robust Anomaly Detection on Unreliable Data.

Zilong Zhao, Sophie Cerf, Robert Birke, Bogdan Robu, Sara Bouchenak, Sonia Ben Mokhtar, Lydia Y. Chen

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

Feedback Control for Online Training of Neural Networks.

Zilong Zhao, Sophie Cerf, Bogdan Robu, Nicolas Marchand

Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019