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Xu, Li (author), Li, T. (author), Erkin, Z. (author)
Verifiable Credential (VC) is a new standard proposed by the W3C association to facilitate the expression and verification of third-party-verified credentials on the Internet, such as passports or diplomas. However, the current VC data model lacks an explicit revocation design that guarantees the secure operations of the system, which limits its...
conference paper 2023
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Duan, Di (author), Yang, Huanqi (author), Lan, G. (author), Li, Tianxing (author), Jia, Xiaohua (author), Xu, Weitao (author)
This paper presents EMGSense, a low-effort self-supervised domain adaptation framework for sensing applications based on Electromyography (EMG). EMGSense addresses one of the fundamental challenges in EMG cross-user sensing—the significant performance degradation caused by time-varying biological heterogeneity—in a low-effort (data-efficient and...
conference paper 2023
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Zhang, Guoqiang (author), Xu, Keyi (author), Liu, Zhengxuan (author), Huang, R. (author), Li, B. (author), Wang, Ran (author)
The construction industry's commitment to achieving carbon neutrality has underscored the urgency of promoting green and low-carbon sustainable affordable housing. However, the development process has encountered several challenges, including conflicts between the central and local governments arising from differences in value preferences,...
journal article 2023
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Zhuang, Linzhou (author), Li, Zhiheng (author), Li, Mengran (author), Tao, Haolan (author), Mao, Xin (author), Lian, Cheng (author), Ge, Lei (author), Du, Aijun (author), Xu, Zhi (author)
The highly efficient and stable electrolysis needs the rational control of the catalytically active interface during the reactions. Here we report a new operando surface restructuring pathway activated by pairing catalyst and electrolyte ions. Using SrCoO<sub>3-δ</sub>-based perovskites as model catalysts, we unveil the critical role of...
journal article 2023
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Li, Jiayu (author), Xu, Yunbo (author), Jing, Yi (author), Gao, Yijing (author), Liu, Hongliang (author), Yu, Yongmei (author), Banis, Alexandros (author), Kestens, L.A.I. (author), Petrov, R.H. (author)
The phase transformations, microstructure and properties of two Medium-Mn processed via quenching and partitioning steels were compared in this contribution and a new strategy for controlling mechanical properties by introducing and controlling cold-worked ferrite prior to heat treatment is proposed. It was found that during heating, the...
journal article 2023
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Li, Z. (author), Xu, M. (author), Norte, R.A. (author), Aragon, A.M. (author), van Keulen, A. (author), Alijani, F. (author), Steeneken, P.G. (author)
In recent years, the Q-factor of Si 3 N 4 nanomechanical resonators has significantly been increased by soft-clamping techniques using large and complex support structures. To date, however, obtaining similar performance with smaller supports has remained a challenge. Here, we make use of torsion beam supports to tune the Q-factor of Si 3 N 4...
journal article 2023
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Xu, Yanghui (author), Ou, Q. (author), Wang, Xintu (author), Hou, Feng (author), Li, Peng (author), van der Hoek, J.P. (author), Liu, G. (author)
The level of microplastics (MPs) in wastewater treatment plants (WWTPs) has been well evaluated by the particle number, while the mass concentration of MPs and especially nanoplastics (NPs) remains unclear. In this study, pyrolysis gas chromatography-mass spectrometry was used to determine the mass concentrations of MPs and NPs with different...
journal article 2023
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Xu, Weitao (author), Xue, Wanli (author), Lin, Qi (author), Lan, G. (author), Feng, Xingyu (author), Wei, Bo (author), Luo, Chengwen (author), Li, Wei (author), Zomaya, Albert Y. (author)
Smart space has emerged as a new paradigm that combines sensing, communication, and artificial intelligence technologies to offer various customized services. A fundamental requirement of these services is person identification. Although a variety of person-identification approaches has been proposed, they suffer from several limitations in...
journal article 2022
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Xu, Yanghui (author), Ou, Q. (author), Li, Xiaoming (author), Wang, Xintu (author), van der Hoek, J.P. (author), Liu, Gang (author)
The transport and fate of nanoplastics (NPs) in aquatic environments are closely associated with their colloidal stability, which is affected by aging and natural organic matter (NOM) adsorption. This study systematically investigated the combined effects of photoaging and NOM (e.g. humic acids, HA; and a model protein, bovine serum albumin, BSA...
journal article 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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Lyu, T. (author), Dorenbos, P. (author), Li, Canhua (author), Li, Silei (author), Xu, Jian (author), Wei, Zhanhua (author)
It is challenging to rational design persistent luminescence and storage phosphors with high storage capacity of electrons and holes after X-ray charging. Such phosphors have potential applications in anti-counterfeiting and X-ray imaging. Here we have combined vacuum referred binding energy diagram (VRBE) construction, photoluminescence...
journal article 2022
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Xu, Wenfeng (author), Li, Yinghui (author), Lv, Maolong (author), Pei, Binbin (author)
This paper investigates the problems of modeling and control of the morphing aircraft. Henceforth, a nonlinear dynamic model of a wing-sweep morphing aircraft is first established in this work. This model is suitable for larger envelopes by elaborating the variation of aerodynamic coefficients, air density, mass distribution at different...
journal article 2022
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Zhou, Enze (author), Li, Feng (author), Zhang, Dawei (author), Xu, Dake (author), Li, Zhong (author), Jia, Ru (author), Song, Hao (author), Gu, Tingyue (author), Homborg, A.M. (author), Mol, J.M.C. (author)
Shewanella oneidensis MR-1 is an attractive model microbe for elucidating the biofilm-metal interactions that contribute to the billions of dollars in corrosion damage to industrial applications each year. Multiple mechanisms for S. oneidensis-enhanced corrosion have been proposed, but none of these mechanisms have previously been rigorously...
journal article 2022
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Lei, Yutian (author), Li, Zhen-Hua (author), Wang, H. (author), Wang, Qian (author), Peng, Guoqiang (author), Xu, Youkui (author), Zhang, Haihua (author), Wang, Gang (author), Ding, Liming (author), Jin, Zhiwen (author)
Two-dimensional (2D) Dion-Jacobson (D-J)-type cesium lead iodide CsPbI <sub>3</sub> perform remarkably in terms of stability. However, the complex interactions between spacer and inorganic layers limit its excellent progress in perovskite solar cells (PSCs). Herein, starting from the considerable structural diversity of organic spacers, we...
journal article 2022
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Yao, Huanhuan (author), Li, Zhizai (author), Shi, Chang (author), Xu, Youkui (author), Wang, Qian (author), Li, Zhen Hua (author), Peng, Guoqiang (author), Lei, Yutian (author), Wang, H. (author)
Two-dimensional (2D) Ruddlesden–Popper (RP) CsPbI<sub>3</sub> perovskite possesses superior phase stability by introducing steric hindrance. However, due to the quantum and dielectric confinement effect, 2D structures usually exhibit large exciton binding energy, and the charge tunneling barrier across the organic interlayer is difficult to...
journal article 2022
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Tao, Qinghua (author), Li, Zhen (author), Xu, Jun (author), Lin, Shu (author), De Schutter, B.H.K. (author), Suykens, Johan A.K. (author)
Traffic flow (TF) prediction is an important and yet a challenging task in transportation systems, since the TF involves high nonlinearities and is affected by many elements. Recently, neural networks have attracted much attention for TF prediction, but they are commonly black boxes with complex architectures and difficult to be interpreted,...
journal article 2022
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Zhao, Jian (author), Xu, Shenyu (author), Chandrasegaran, R.S.K. (author), Bryan, Christopher James (author), Du, Fan (author), Mishra, Aditi (author), Qian, Xin (author), Li, Yiran (author), Ma, Kwan Liu (author)
Visual data storytelling is gaining importance as a means of presenting data-driven information or analysis results, especially to the general public. This has resulted in design principles being proposed for data-driven storytelling, and new authoring tools being created to aid such storytelling. However, data analysts typically lack...
journal article 2022
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Wang, Shuo (author), Xu, Youkui (author), Wang, Qian (author), Zhou, Xufeng (author), Li, ZhenHua (author), Wang, Meng (author), Lei, Yutian (author), Zhang, Hong (author), Wang, H. (author), Jin, Zhiwen (author)
Iodine vacancies and uncoordinated iodide ions of CsPbI<sub>3</sub> films are mainly responsible for nonradiative recombination. Here, we report a composition-engineering passivation method that through guanidium (GA<sup>+</sup>) and I<sup>−</sup> forms strong hydrogen bonds to passivate iodine vacancies and reduce defects. Both experimental...
journal article 2022
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Chen, Yiming (author), Sun, Xu (author), Xu, Liang (author), Ma, Sencai (author), Li, Jun (author), Pang, Y. (author), Cheng, Gang (author)
The most common failures of belt conveyors are runout, coal piles and longitudinal tears. The detection methods for longitudinal tearing are currently not particularly effective. A key study area for minimizing longitudinal belt tears with the advancement of machine learning is how to use machine vision technology to detect foreign items on...
journal article 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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