Searched for: author%3A%22Zhao%2C+Z.%22
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Zhao, Z. (author), Huang, J. (author), Chen, Lydia Y. (author), Roos, S. (author)
Generative Adversarial Networks (GANs) are increasingly adopted by the industry to synthesize realistic images using competing generator and discriminator neural networks. Due to data not being centrally available, Multi-Discriminator (MD)-GANs training frameworks employ multiple discriminators that have direct access to the real data....
conference paper 2024
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Wang, Guozhi (author), Pei, Binbin (author), Xu, Haojun (author), Lv, Maolong (author), Zhao, Z. (author), Bu, Xiangwei (author)
This paper proposes a flight risk analysis method that combines risk assessment and visual deduction to study the causes of flight accidents, specifically the loss of control caused by failure factors. The goal is to explore the impact of these failure factors on loss-of-control events and illustrate the risk evolution under different scenarios...
journal article 2023
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Huang, J. (author), Zhao, Z. (author), Chen, Lydia Y. (author), Roos, S. (author)
Attacks on Federated Learning (FL) can severely reduce the quality of the generated models and limit the usefulness of this emerging learning paradigm that enables on-premise decentralized learning. However, existing untargeted attacks are not practical for many scenarios as they assume that i) the attacker knows every update of benign...
conference paper 2023
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Zhao, Z. (author), Robu, Bogdan (author), Landau, Ioan (author), Dugard, Luc (author), Marchand, Nicolas (author), Job, Louis (author)
In this paper, we focus on the French Macro-economic model. We use real economic data, available as time series, starting from 1980s and openly provided by the INSEE. Variables such as Gross Domestic Production, Exportation, Importation, Household Consumption, Gross Fixed Capital Formation and Public expenditure are included in the analysis....
conference paper 2023
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Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Generative Adversarial Networks (GANs) are typically trained to synthesize data, from images and more recently tabular data, under the assumption of directly accessible training data. While learning image GANs on Federated Learning (FL) and Multi-Discriminator (MD) systems has just been demonstrated, it is unknown if tabular GANs can be learned...
conference paper 2023
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Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)
An alternative method for sharing knowledge while complying with strict data access regulations, such as the European General Data Protection Regulation (GDPR), is the emergence of synthetic tabular data. Mainstream table synthesizers utilize methodologies derived from Generative Adversarial Networks (GAN). Although several state-of-the-art ...
conference paper 2023
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Wu, Han (author), Zhao, Z. (author), Chen, Lydia Y. (author), van Moorsel, Aad (author)
Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning method-ology, since it avoids exchanging data between participants, but instead exchanges model parameters. FL has traditionally been applied to image, voice and similar data, but recently it has started to draw attention from domains including...
conference paper 2022
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Zhu, Yujin (author), Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Tabular data synthesis is an emerging approach to circumvent strict regulations on data privacy while discovering knowledge through big data. Although state-of-the-art AI-based tabular data synthesizers, e.g., table-GAN, CTGAN, TVAE, and CTAB-GAN, are effective at generating synthetic tabular data, their training is sensitive to column...
conference paper 2022
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Esposito, C. (author), De Martino, C. (author), Lehmann, S. (author), Zhao, Z. (author), Mothes, S. (author), Kretzschmar, C. (author), Schroter, M. (author), Spirito, M. (author)
In this contribution, We analyze the bandwidth versus accuracy trade-offs of conventional two-step de-embedding approaches, often employed to extract the device model parameters. The accuracy limitation of incorporating the pad/line section of classical DUT test-fixtures into shunt-series complex and frequency-dependent elements is analyzed by...
conference paper 2022
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Dong, Zehong (author), Li, Yinghui (author), Lv, Maolong (author), Zhao, Z. (author), Pei, Binbin (author)
A new fixed-time fuzzy adaptive fault-tolerant control methodology is proposed for the longitudinal dynamics of hypersonic flight vehicles (HFVs) in the presence of actuator faults, uncertain dynamics, and external disturbances. In contrast with the conventional fixed-time control schemes that typically contain the fractional powers of errors...
journal article 2022
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Wang, Xiaolin (author), Xu, Jihui (author), Lv, Maolong (author), Zhang, Lei (author), Zhao, Z. (author)
This article proposes a fixed-time adaptive fault-tolerant control methodology for a larger class of high-order (powers are positive odd integers) nonlinear systems subject to asymmetric time-varying state constraints and actuator faults. In contrast with the state-of-the-art control methodologies, the distinguishing features of this study...
journal article 2022
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Huang, J. (author), Talbi, Rania (author), Zhao, Z. (author), Boucchenak, Sara (author), Chen, Lydia Y. (author), Roos, S. (author)
Federated Learning is an emerging distributed collaborative learning paradigm adopted by many of today's applications, e.g., keyboard prediction and object recognition. Its core principle is to learn from large amount of users data while preserving data privacy by design as collaborative users only need to share the machine learning models...
conference paper 2020
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Li, Y. (author), Zhang, Z. R. (author), Zhao, Z. Y. (author), Li, H. X. (author), Katgerman, L. (author), Zhang, J. S. (author), Zhuang, L. Z. (author)
New 7xxx aluminum alloys with high alloying contents are being designed, which could induce serious hot tearing defects during direct-chill (DC) casting. Among all factors affecting hot tearing of 7xxx alloys, undoubtedly alloying elements play a significant role. In this study, the effect of main alloying elements (Zn, Mg, and Cu) on hot...
journal article 2019
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Conradie, Willem (author), Palmigiano, A. (author), Zhao, Z. (author)
In recent years, unified correspondence has been developed as a generalized Sahlqvist theory which applies uniformly to all signatures of normal and regular (distributive) lattice expansions. A fundamental tool for attaining this level of generality and uniformity is a principled way, based on order theory, to define the Sahlqvist and...
journal article 2019
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Zhao, Z. (author)
Correspondence theory originally arises as the study of the relation between modal formulas and first-order formulas interpreted over Kripke frames. We say that a modal formula and a first-order formula correspond to each other if they are valid on the same class of Kripke frames. Canonicity theory is closely related to correspondence theory. We...
doctoral thesis 2018
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Zhao, Z. (author), Ledoux, H. (author), Stoter, J.E. (author)
The LoD2 building models defined in CityGML are widely used in 3D city applications. The underlying geometry for such models is a GML solid (without interior shells), whose boundary should be a closed 2-manifold. However, this condition is often violated in practice because of the way LoD2 models are constructed and exchanged. Examples of the...
conference paper 2013
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Zhao, Z. (author), Ten Pierick, A. (author), De Jonge, L. (author), Heijnen, J.J. (author), Wahl, S.A. (author)
Background Penicillium chrysogenum, the main production strain for penicillin-G, has a high content of intracellular carbohydrates, especially reduced sugars such as mannitol, arabitol, erythritol, as well as trehalose and glycogen. In previous steady state 13C wash-in experiments a delay of labeling enrichments in glycolytic intermediates was...
journal article 2012
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Guo, R. (author), Li, L. (author), He, B. (author), Luo, P. (author), Ying, S. (author), Zhao, Z. (author), Jiang, R. (author)
conference paper 2011
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Douma, R.D. (author), Batista, J.M. (author), Touw, K.M. (author), Kiel, J.A.K.W. (author), Krikken, A.M. (author), Zhao, Z. (author), Veiga, T. (author), Klaassen, P. (author), Bovenberg, R.A.L. (author), Daran, J.M. (author), Heijnen, J.J. (author), Van Gulik, W.M. (author)
Background In microbial production of non-catabolic products such as antibiotics a loss of production capacity upon long-term cultivation (for example chemostat), a phenomenon called strain degeneration, is often observed. In this study a systems biology approach, monitoring changes from gene to produced flux, was used to study degeneration of...
journal article 2011
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Zhao, Z. (author)
doctoral thesis 2011
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