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Tobón, L. (author), Chen, J. (author), Lee, J. (author), Yuan, M. (author), Zhao, B. (author), Liu, Q.H. (author)Many system-level electromagnetic design problems are multiscale and very challenging to solve. They remain a significant barrier to system design optimization for a foreseeable future. Such multiscale problems often contain three electrical scales, i.e., the fine scale (geometrical feature size much smaller than a wavelength), the coarse scale ...conference paper 2013
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Chen, H. (author), Tan, E.B.K. (author), Lee, Y. (author), Praharaj, S. (author), Specht, M.M. (author), Zhao, G. (author)Using Artificial Intelligence (AI) and machine learning technologies to automatically mine latent patterns from educational data holds great potential to inform teaching and learning practices. However, the current AI technology mostly works as "black box"-only the inputs and the corresponding outputs are available, which largely impedes...conference paper 2020
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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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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, 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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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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Gu, Guanjie (author), Yang, Changgui (author), Li, Zhuhao (author), Feng, Xiangdong (author), Chang, Ziyi (author), Wang, Ting-Hsun (author), Zhang, Yunshan (author), Luo, Yuxuan (author), Zhang, Hong (author), Wang, Ping (author), Du, S. (author), Chen, Yong (author), Zhao, Bo (author)Body Channel Communication (BCC) offers a low-loss signal transmission medium for ultra-low-power wearable devices on human body [1]. However, the effective communication range on human body is limited to less than 1m in the state-of-the-art BCC transceivers [2], where the signal loss at the interface of body surface and BCC receiver remains to...conference paper 2022
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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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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), 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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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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Yao, W. (author), Chen, X. (author), Zhao, Y. (author), Van Tooren, M.J.L. (author)To comprehensively assess fractionated spacecraft, an assessment tool is developed based on lifecycle simulation under uncertainty driven by modular evolutionary stochastic models. First, fractionated spacecraft nomenclature and architecture are clarified, and assessment criteria are analyzed. The mean and standard deviation of risk adjusted...journal article 2012
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Zhao, Lei (author), Zhou, Sifan (author), Zhong, Jinglin (author), Ao, Yibin (author), Wang, Yan (author), Wang, T. (author), Chen, Yunfeng (author)Earthquakes occur frequently in rural areas of Sichuan, China, causing huge damage and high mortality. The built environment plays a significant role in providing residents with safe and resilient settlements in such areas. There is yet little research on how rural families in developing countries cope with geological disasters like earthquakes,...journal article 2022
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Chang, Ziyi (author), Zhang, Yunshan (author), Yang, Changgui (author), Luo, Yuxuan (author), Du, S. (author), Chen, Yong (author), Zhao, Bo (author)The size of wireless systems is required to be reduced in many applications, such as ultra-low-power sensor nodes and wearable/implantable devices, where battery and crystal are the two main bottlenecks in system miniaturization. In recent years, battery-free radios based on wireless power transfer (WPT) have shown great potential in...journal article 2022
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Zhao, Xiujie (author), Chen, P. (author), Gaudoin, Olivier (author), Doyen, Laurent (author)This study proposes a framework to analyze accelerated degradation testing (ADT) data in the presence of inspection effects. Motivated by a real dataset from the electric industry, we study two types of effects induced by inspections. After each inspection, the system degradation level instantaneously reduces by a random value. Meanwhile, the...journal article 2021
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Sun, Xiaoliang (author), Zhou, Guanggang (author), Liu, Z. (author), Zhu, Jianwei (author), Guo, Fengzhi (author), Chen, Junqing (author), He, Wenhao (author), Wang, Ning (author), Zhao, Ge (author), Lu, Guiwu (author)The controllability of mining is a key factor affecting the commercial application of methane hydrates, and the addition of chemical additives can significantly accelerate the mining process. However, the effect of additive concentration on hydrate decomposition is not yet well understood. In this study, we systematically investigate the...journal article 2021
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Liu, Shurui (author), Lu, T. (author), Tang, Z. (author), Chen, Zhiyuan (author), Jiang, Junmin (author), Zhao, Bo (author), Du, S. (author)In this article, we propose a reconfigurable regulating rectifier with a wide operational range for wireless power transfer. The proposed three-mode rectifier achieves a broad range voltage regulation without global loop control to minimize the chip area occupation. Compared with previous work, more working modes and greater voltage gain...journal article 2023
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Lu, Qi (author), Li, Shuangmu (author), Zhao, Bo (author), Jiang, Junmin (author), Chen, Zhiyuan (author), Du, S. (author)Multiple voltage conversion ratio (VCR) recursive switched-capacitor (SC) dc-dc converters, based on several basic 2:1 converters, are widely used for on-chip power supplies due to their flexible VCRs for higher energy efficiency. However, conventional multiple VCR SC converters usually have one or more 2:1 converters unused for some VCRs,...journal article 2023
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Zhi, Danyue (author), Zhao, Hepeng (author), Chen, Yan (author), Song, Weize (author), Song, Dongdong (author), Yang, Y. (author)The configuration of the urban built environment is critical for promoting sustainability and achieving carbon neutrality. However, existing studies mostly use linear and spatial econometric models to investigate the relationship between urban built environments and traffic carbon dioxide (CO<sub>2</sub>) emissions, in-depth studies exploring...journal article 2024
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