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Zhu, R. (author), Yang, M. (author), Yang, J. (author), Wang, Q. (author)Federated Learning (FL) is an important privacy-preserving learning paradigm that is expected to play an essential role in the future Intelligent Internet of Things (IoT). However, model training in FL is vulnerable to noise and the statistical heterogeneity of local data across IoT clients. In this paper, we propose FedNaWi, a “Go Narrow, Then...conference paper 2023
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Bi, Haoran (author), Kyryliuk, Maksym (author), Wang, Zhiyi (author), Meo, C. (author), Wang, Y. (author), Imhoff, Ruben (author), Uijlenhoet, R. (author), Dauwels, J.H.G. (author)Nowcasting is an observation-based method that uses the current state of the atmosphere to forecast future weather conditions over several hours. Recent studies have shown the promising potential of using deep learning models for precipitation nowcasting. In this paper, novel deep generative models are proposed for precipitation nowcasting....conference paper 2023
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Zhang, Yu (author), Wang, Yue (author), Tian, Zhi (author), Leus, G.J.T. (author), Zhang, Gong (author)This paper proposes a super-resolution harmonic retrieval method for uncorrelated strictly non-circular signals, whose covariance and pseudo-covariance present Toeplitz and Hankel structures, respectively. Accordingly, the augmented covariance matrix constructed by the covariance and pseudo-covariance matrices is not only low rank but also...conference paper 2023
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Liu, Bin (author), Wang, Q. (author), Pollin, Sofie (author)This paper presents a novel transparent amplifying intelligent surface (TAIS) architecture for uplink enhancement in indoor-to-outdoor mmWave communications. The TAIS is an amplifier-based transmissive intelligent surface that can refract and amplify the incident signal, instead of only refracting it with adjustable phase shift by most passive...conference paper 2023
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Hersyandika, Rizqi (author), Rossanese, Marco (author), Lutu, Andra (author), Yang, Miao (author), Wang, Q. (author), Pollin, Sofie (author)This paper studies a promising use case of a private 5G network for the sports industry: wearable bodycams and sensors in a football match. This use case requires a reliable and dedicated massive MIMO network to provide uniform coverage with a high capacity in the whole pitch area. The coverage of co-located and distributed (cell-free) massive...conference paper 2023
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Zou, L. (author), Wang, An (author), Wang, H. (author)Temporal networks are networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast and mitigate the spread of epidemics and misinformation on the network. Most existing methods for temporal network prediction are based on machine learning algorithms, at the expense...conference paper 2023
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Leibbrandt, Louise (author), Zhang, S. (author), Roelvink, M.A.T. (author), Bergkamp, Stan (author), Li, Xinqi (author), Bisschop, Lieselot (author), Wingerde, Karin van (author), Wang, H. (author)This paper aims to understand to what extent the amount of drug (e.g., cocaine) trafficking per country can be explained and predicted using the global shipping network. We propose three distinct network approaches, based on topological centrality metrics, Susceptible-Infected-Susceptible spreading process and a flow optimization model of...conference paper 2023
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Nasri, Maedeh (author), Fang, Zhizhou (author), Baratchi, Mitra (author), Englebienne, Gwenn (author), Wang, Shenghui (author), Koutamanis, A. (author), Rieffe, Carolien (author)Detecting and analyzing group behavior from spatio-temporal trajectories is an interesting topic in various domains, such as autonomous driving, urban computing, and social sciences. This paper revisits the group detection problem from spatio-temporal trajectories and proposes “WavenetNRI”, a graph neural network (GNN) based method. The...conference paper 2023
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Wang, Yiping (author), Li, Xueyuan (author), Liu, Qi (author), Li, Songhao (author), Luan, Tian (author), Li, Z. (author)The skid-steered vehicle has the advantages of simple structure and strong maneuverability. Its formation driving can effectively improve safety, reduce energy consumption and exert its benefits, and has wide application prospects in military and civilian fields. Differential skid steering has strong horizontal and vertical coupling...conference paper 2023
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Luopan, Yaxin (author), Han, Rui (author), Zhang, Qinglong (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge devices....conference paper 2023
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Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)Vision applications powered by deep neural networks (DNNs) are widely deployed on edge devices and solve the learning tasks of incoming data streams whose class label and input feature continuously evolve, known as domain shift. Despite its prominent presence in real-world edge scenarios, existing benchmarks used by domain adaptation methods...conference paper 2023
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Masoumian, S. (author), Maes, Roel (author), Wang, Rui (author), Yerriswamy, Karthik Keni (author), Schrijen, Geert-Jan (author), Hamdioui, S. (author), Taouil, M. (author)SRAM Physical Unclonable Functions (PUFs) are one of the popular forms of PUFs that can be used to generate unique identifiers and randomness for security purposes. Hence, their resilience to attacks is crucial. The probability of attacks increases when the SRAM PUF start-up values follow a predictable pattern which we refer to as bias. In this...conference paper 2023
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Assabumrungrat, Rawin (author), Kumchaiseemak, N. (author), Wang, J. (author), Wang, D. (author), Punpeng, Phoom (author), Fioranelli, F. (author), Wilaiprasitporn, Theerawit (author)We present a deep learning-based approach called DipSAR for reconstructing millimeter-wave synthetic aperture radar (SAR) images from sparse samples. The primary challenge lies in the requirement of a large training dataset for deep learning schemes. To overcome this issue, we employ the deep image prior (DIP) technique, which eliminates the...conference paper 2023
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Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive AssistantKernan Freire, S. (author), Niforatos, E. (author), Wang, C.W. (author), Ruiz Arenas, S. (author), Foosherian, Mina (author), Wellsandt, Stefan (author), Bozzon, A. (author)Learning to operate a complex system, such as an agile production line, can be a daunting task. The high variability in products and frequent reconfigurations make it difficult to keep documentation up-to-date and share new knowledge amongst factory workers. We introduce CLAICA, a Continuously Learning AI Cognitive Assistant that supports...conference paper 2023
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Jang, Moon Hyung (author), Yu, Wei-Han (author), Lee, Changuk (author), Hays, Maddy (author), Wang, Pingyu (author), Vitale, Nick (author), Tandon, Pulkit (author), Chae, Youngcheol (author), Muratore, D.G. (author)This paper presents a neural recording IC featuring lossy compression during digitization, thus preventing data deluge and enabling a compact active digital pixel design. The wired-OR-based compression discards unwanted baseline samples while allowing the reconstruction of spike samples. The IC features a 32x32 MEA with 36 μ m pixel pitch and...conference paper 2023
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Jiang, Y. (author), Dai, R. (author), Zeng, J. (author), Butler, R.M. (author), Vijfvinkel, T.S. (author), Wang, Y. (author), van den Dobbelsteen, J.J. (author), van der Elst, M. (author), Dauwels, J.H.G. (author)Workflow analysis is a young research field that has been gaining traction in recent years. Work in this field aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations are made and evaluated by algorithms rather than human experts. For our study, we mount...conference paper 2022
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Goedemondt, K.S. (author), Yang, J. (author), Wang, Q. (author)Touchscreens and buttons had became a medium for virus transmission during the COVID-19 pandemic. We have seen in our daily life that people use tissues and keys to press buttons inside elevators, on public screens, etc. In the post- COVID world, touch-free interaction with public touchscreens and buttons may become more popular. Motivated by...conference paper 2022
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Yao, Y. (author), Zhang, Q. (author), HU, Y. (author), Meo, C. (author), Wang, Y. (author), Nanetti, Andrea (author), Dauwels, J.H.G. (author)We typically search for images by keywords, e.g., when looking for images of apples, we would enter the word “apple” as query. However, there are limitations. For example, if users input keywords in a specific language, then they may miss results labeled in other languages. Moreover, users may have an image of the object they want to obtain more...conference paper 2022
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Bi, H. (author), Kyryliuk, M.S. (author), Wang, Z. (author), Meo, C. (author), Wang, Y. (author), Imhoff, Ruben (author), Uijlenhoet, R. (author), Dauwels, J.H.G. (author)Extreme precipitation usually leads to substantial impacts. Floods in the Netherlands, Belgium and Germany in the summer of 2021 have caused loss of lives, destruction of infrastructures, and long-term effect on economics. To avoid such disasters, it is important to develop a reliable and accurate method to predict heavy rain.conference paper 2022
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Wang, H. (author), Hendriks, J.M. (author), Dollevoet, R.P.B.J. (author), Zoeteman, Arjen (author), Nunez, Alfredo (author)Aiming to handle the increasing variety and volume of railway infrastructure monitoring data, this paper explores the use of intelligent data fusion methods for automatic anomaly detection of railway catenaries. Three classical data dimensionality reduction methods, namely the principal component analysis (PCA), the autoencoder neural network,...conference paper 2022