Searched for: author%3A%22Xu%2C+J.%22
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Xu, J. (author), Vecstaudza, Jana (author), Wesdorp, Marinus A. (author), Labberté, Margot (author), Salerno, Manuela (author), Kok, Joeri (author), van Rietbergen, Bert (author), van Osch, G.J.V.M. (author), Locs, Janis (author), Brama, Pieter A.J. (author)
Osteochondral defect repair with a collagen/collagen-magnesium-hydroxyapatite (Col/Col-Mg-HAp) scaffold has demonstrated good clinical results. However, subchondral bone repair remained suboptimal, potentially leading to damage to the regenerated overlying neocartilage. This study aimed to improve the bone repair potential of this scaffold by...
journal article 2024
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Xu, J. (author), Hong, C. (author), Huang, J. (author), Chen, Lydia Y. (author), Decouchant, Jérémie (author)
Federated learning is a private-by-design distributed learning paradigm where clients train local models on their own data before a central server aggregates their local updates to compute a global model. Depending on the aggregation method used, the local updates are either the gradients or the weights of local learning models, e.g., FedAvg...
conference paper 2023
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Xu, J. (author), Abad, Gorka (author), Picek, S. (author)
Backdoor attacks have been demonstrated as a security threat for machine learning models. Traditional backdoor attacks intend to inject backdoor functionality into the model such that the backdoored model will perform abnormally on inputs with predefined backdoor triggers and still retain state-of-the-art performance on the clean inputs. While...
conference paper 2023
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Yao, X. (author), Yang, Y. (author), Vledder, G. (author), Xu, J. (author), Song, Y. (author), Vink, P. (author)
Wearables are used to recognize human activities in various applications. However, there is limited evidence on the comfort feelings in using wearables, which is crucial for the adoption and long-term engagement of users in those applications. In this paper, we propose the concept of comfort wearables in the context of in-flight posture...
journal article 2023
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Xu, J. (author), Koffas, S. (author), Ersoy, Oǧuzhan (author), Picek, S. (author)
Graph Neural Networks (GNNs) have achieved promising performance in various real-world applications. Building a powerful GNN model is not a trivial task, as it requires a large amount of training data, powerful computing resources, and human expertise. Moreover, with the development of adversarial attacks, e.g., model stealing attacks, GNNs...
conference paper 2023
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Xu, J. (author), Fahmy-Garcia, Shorouk (author), Wesdorp, Marinus A. (author), Forte, Lucia (author), De Luca, Claudio (author), Filardo, Giuseppe (author), Labberté, Margot (author), Kok, Joeri (author), Nickel, Joachim (author), van Osch, G.J.V.M. (author)
Despite promising clinical results in osteochondral defect repair, a recently developed bi-layered collagen/collagen-magnesium-hydroxyapatite scaffold has demonstrated less optimal subchondral bone repair. This study aimed to improve the bone repair potential of this scaffold by adsorbing bone morphogenetic protein 2 (BMP-2) and/or platelet...
journal article 2023
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Zhou, Liangbin (author), Xu, J. (author), Schwab, Andrea (author), Tong, Wenxue (author), Zheng, Lizhen (author), Li, Zhuo (author), Xu, Shunxiang (author), van Osch, G.J.V.M. (author), Wen, Chunyi (author), Qin, Ling (author)
As a highly specialized shock-absorbing connective tissue, articular cartilage (AC) has very limited self-repair capacity after traumatic injuries, posing a heavy socioeconomic burden. Common clinical therapies for small- to medium-size focal AC defects are well-developed endogenous repair and cell-based strategies, including microfracture,...
review 2023
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Babcock, E. (author), Salhi, Z. (author), Feoktystov, A. (author), Bannenberg, L.J. (author), Parnell, S.R. (author), Alba Venero, D. (author), Hutanu, V. (author), Thoma, H. (author), Xu, J. (author)
The JCNS has been developing and using in-situ polarized neutron spin filters for many applications. The system used for analysis on MARIA and polarization for TOPAS were completed about 10 years ago with the MARIA system in standard operation for users and the TOPAS system employed for a long measurement on the POLI instrument. In the...
journal article 2023
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Schwab, Andrea (author), Wesdorp, Marinus A. (author), Xu, J. (author), Abinzano, Florencia (author), Loebel, Claudia (author), Levato, Riccardo (author), Eglin, David (author), Narcisi, Roberto (author), Malda, Jos (author), van Osch, G.J.V.M. (author)
Background: The use of acellular hydrogels to repair osteochondral defects requires cells to first invade the biomaterial and then to deposit extracellular matrix for tissue regeneration. Due to the diverse physicochemical properties of engineered hydrogels, the specific properties that allow or even improve the behaviour of cells are not yet...
journal article 2023
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Xu, J. (author), Soeiro, Thiago B. (author), Wang, Yong (author), Gao, Fei (author), Tang, Houjun (author), Bauer, P. (author)
Two-stage AC-DC converters are considered as a prominent solution for DC-type electric vehicle (EV) chargers. However, this kind of architecture suffers from high switching losses with large heatsink and DC-link capacitor volume. To relieve this issue, this paper presents a new hybrid modulation for DC-type EV chargers, where a two-phase...
journal article 2022
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Wu, Y. (author), Xu, J. (author), Soeiro, Thiago B. (author), Stecca, M. (author), Bauer, P. (author)
Variable switching frequency PWM (VSFPWM) modulation can be advantageously implemented in industrial applications, such as renewable energy, motor drives, and uninterrupted power supply (UPS) systems, to reduce the injected current harmonic amplitudes, to suppress audible noise, and to improve semiconductor power efficiency. In this article,...
journal article 2022
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Stecca, M. (author), Tan, Changyu (author), Xu, J. (author), Soeiro, Thiago B. (author), Bauer, P. (author), Palensky, P. (author)
In this article, a hybrid Si/Si carbide (SiC) switch (HyS) modulation with minimum SiC MOSFET conduction (mcHyS) is experimentally characterized, so as to derive its conduction and switching performance. These are later used to derive a silicon (Si) area analytical model for the HyS configuration. The chip area model is used to benchmark the...
journal article 2022
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Xu, J. (author), Soeiro, Thiago B. (author), Wu, Y. (author), Gao, Fei (author), Wang, Y. (author), Tang, Houjun (author), Bauer, P. (author)
A three-phase buck-type rectifier features a step-down ac-dc conversion function, which is considered as a prominent solution for electric vehicle chargers and telecommunication systems integrated to the grid above 380 V line to line. However, traditional solutions for those applications employ cascaded architectures with an ac-dc boost-type...
journal article 2022
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Koffas, S. (author), Xu, J. (author), Conti, M. (author), Picek, S. (author)
This work explores backdoor attacks for automatic speech recognition systems where we inject inaudible triggers. By doing so, we make the backdoor attack challenging to detect for legitimate users and, consequently, potentially more dangerous. We conduct experiments on two versions of a speech dataset and three neural networks and explore the...
conference paper 2022
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Xu, J. (author), Doubrovski, E.L. (author), Geraedts, Jo M.P. (author), Song, Y. (author)
The geometric shapes and the relative position of coils influence the performance of a three-dimensional (3D) inductive power transfer system. In this paper, we propose a coil design method for specifying the positions and the 3D shapes of a pair of coils to transmit the desired power. Given region of interests (ROIs) for designing the...
journal article 2022
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Xu, J. (author), Wang, R. (author), Koffas, S. (author), Liang, K. (author), Picek, S. (author)
Graph Neural Networks (GNNs) are a class of deep learning-based methods for processing graph domain information. GNNs have recently become a widely used graph analysis method due to their superior ability to learn representations for complex graph data. Due to privacy concerns and regulation restrictions, centralized GNNs can be difficult to...
conference paper 2022
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Conti, M. (author), Li, Jiaxin (author), Picek, S. (author), Xu, J. (author)
Graph Neural Networks (GNNs), inspired by Convolutional Neural Networks (CNNs), aggregate the message of nodes' neighbors and structure information to acquire expressive representations of nodes for node classification, graph classification, and link prediction. Previous studies have indicated that node-level GNNs are vulnerable to Membership...
conference paper 2022
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Zhu, G. (author), Dong, J. (author), Shi, W. (author), Soeiro, Thiago B. (author), Xu, J. (author), Bauer, P. (author)
This article proposes a mode-switching-based phase shift control (MS-PSC) for wireless power transfer (WPT) systems, which is able to achieve power regulation, load matching, and wide ZVS operations simultaneously without using additional dc-dc converters. Based on the mode transitions between the full-bridge, mixed-bridge, and half-bridge...
journal article 2022
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Bao, L. L. (author), Yibole, H. (author), Xu, J. (author), Ou, Z. Q. (author), Haschuluu, O. (author), Tegus, O. (author), van Dijk, N.H. (author), Brück, E.H. (author), Guillou, F. (author)
In view of the interest that (Fe,Co)<sub>2</sub>(P,Si) compounds have as potential permanent magnets, their structural and magnetic phase diagrams are explored focusing on establishing the range where the hexagonal Fe<sub>2</sub>P-type structure is observed. In Fe<sub>1.93-x</sub>Co<sub>x</sub>P<sub>1-y</sub>Si<sub>y</sub>, the highest Si...
journal article 2022
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Xu, J. (author), Picek, S. (author)
Graph Neural Networks (GNNs) have achieved impressive results in various graph learning tasks. They have found their way into many applications, such as fraud detection, molecular property prediction, or knowledge graph reasoning. However, GNNs have been recently demonstrated to be vulnerable to backdoor attacks. In this work, we explore a...
conference paper 2022
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