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- Nam, Taewoo (author), Zhu, Yufei (author), Deng, Xintong (author), Zhao, Chiming (author), Itakura, Eiji (author), Tsukada, Taro (author) conference paper 2024
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Zhao, Y. (author), Zhang, Y. (author), Tao, Q. (author)Deep learning-based methods have achieved prestigious performance for magnetic resonance imaging (MRI) reconstruction, enabling fast imaging for many clinical applications. Previous methods employ convolutional networks to learn the image prior as the regularization term. In quantitative MRI, the physical model of nuclear magnetic resonance...conference paper 2024
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Li, Xinqi (author), Zhang, Y. (author), Zhao, Y. (author), van Gemert, J.C. (author), Tao, Q. (author)Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within the quantitative MRI sequence is essential for the accuracy and precision of quantitative maps. However, co-registering all baseline images from a quantitative...conference paper 2024
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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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Ni, Tao (author), Lan, G. (author), Wang, Jia (author), Zhao, Qingchuan (author), Xu, Weitao (author)Radio-frequency (RF) energy harvesting is a promising technology for Internet-of-Things (IoT) devices to power sensors and prolong battery life. In this paper, we present a novel side-channel attack that leverages RF energy harvesting signals to eavesdrop mobile app activities. To demonstrate this novel attack, we propose AppListener, an...conference paper 2023
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Zhao, Changxu (author), Yarovoy, Alexander (author), Roederer, A.G. (author), Aslan, Y. (author)Design of millimeter-wave arrays for base stations operating in dense urban environment is investigated. Innovative designs for linear subarrays with shaped beam patterns for hybrid beamforming are proposed. The number of elements and element spacings in the subarrays are optimally selected based on a pattern matching technique. The subarrays...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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Esgin, Muhammed F. (author), Ersoy, O. (author), Kuchta, Veronika (author), Loss, Julian (author), Sakzad, Amin (author), Steinfeld, Ron (author), Yang, Xiangwen (author), Zhao, Raymond K. (author)In this work, we study the blockchain leader election problem. The purpose of such protocols is to elect a leader who decides on the next block to be appended to the blockchain, for each block proposal round. Solutions to this problem are vital for the security of blockchain systems. We introduce an efficient blockchain leader election method...conference paper 2023
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Du, L. (author), Zhao, Xiujuan (author), Poelma, René H. (author), van Driel, W.D. (author), Zhang, Kouchi (author)SnBiAgCu solder alloy is an attractive soldering material for temperature-sensitive electronic devices due to its excellent creep properties. This study firstly reports the creep properties of SnBiAgCu solder alloy under different temperatures. Results show that the addition of Bi resulted in better creep resistance compared with that of...conference paper 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, Zheyu (author), Cheng, H. (author), Xu, Xiaohua (author)Massive terminal users have brought explosive need of data residing at edge of overall network. Multiple Mobile Edge Computing (MEC) servers are built in/near base station to meet this need. However, optimal distribution of these servers to multiple users in real time is still a problem. Reinforcement Learning (RL) as a framework to solve...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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Blanco, Adrian Fuertes (author), Shi, Z. (author), Roy, Debraj (author), Zhao, Zhiming (author)The emergence of blockchain technologies has created the possibility of transforming business processes in the form of immutable agreements called smart contracts. Smart contracts suffer from a major limitation; they cannot authenticate the trustworthiness of real-world data sources, creating the need for intermediaries called oracles....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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Welle Donker, F.M. (author), van Loenen, B. (author), Kessler, Carsten (author), Küppers, Natalie (author), Panek, Mark (author), Mansourian, Ali (author), Zhao, Pengxiang (author), Vancauwenberghe, Glenn (author), Tomić, Hrvoje (author), Kević, Karlo (author)The new concept of Open Spatial Data Infrastructures (Open SDIs) has emerged from an increased interest in open data initiatives together with national and international directives, such as the EU Open Data Directive (Directive (EU) 2019/1024), and the large investment of European public authorities in developing SDIs for sharing spatial data...conference paper 2022
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Zhao, Yubin (author), Guendel, Ronny (author), Yarovoy, Alexander (author), Fioranelli, F. (author)The feasibility of classifying human activities measured by a distributed ultra-wideband (UWB) radar system using Range-Doppler (RD) images as the input to classifiers is investigated. Kinematic characteristics of different human activities are expected to be captured in high-resolution range-Doppler images measured by UWB radars. To construct...conference paper 2022
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Zhao, Zhendong (author), Chen, Xiaojun (author), Xuan, Yuexin (author), Dong, Ye (author), Wang, Dakui (author), Liang, K. (author)Backdoor attack is a type of serious security threat to deep learning models. An adversary can provide users with a model trained on poisoned data to manipulate prediction behavior in test stage using a backdoor. The backdoored models behave normally on clean images, yet can be activated and output incorrect prediction if the input is stamped...conference paper 2022
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Lee, Y. (author), Chen, H. (author), Zhao, Guoying (author), Specht, M.M. (author)Human attention is critical yet challenging cognitive process to measure due to its diverse definitions and non-standardized evaluation. In this work, we focus on the attention self-regulation of learners, which commonly occurs as an effort to regain focus, contrary to attention loss. We focus on easy-to-observe behavioral signs in the real...conference paper 2022
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Xu, Jingyi (author), Li, Z. (author), Gao, Li (author), Ma, Junyi (author), Liu, Qi (author), Zhao, Yanan (author)The deep reinforcement learning-based energy management strategies (EMS) have become a promising solution for hybrid electric vehicles (HEVs). When driving cycles are changed, the neural network will be retrained, which is a time-consuming and laborious task. A more efficient way of choosing EMS is to combine deep reinforcement learning (DRL)...conference paper 2022
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Zhao, Kangqi (author), Wang, Yihui (author), Ding, Miaomiao (author), Li, Shukai (author), Quaglietta, E. (author), Meng, Lingyun (author)More and more people in big cities choose urban rail transit as the main means of public transportation. With the increasing unbalanced passenger flow in time and space, the traditional operation mode with fixed train formation (or composition) is difficult to satisfy the varying passenger demands. This paper distinguishes different train...conference paper 2022