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Yang, Q. (author), Simão, T. D. (author), Jansen, Nils (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safety is critical to broadening the a lication of reinforcement learning (RL). Often, RL agents are trained in a controlled environment, such as a laboratory, before being de loyed in the real world. However, the target reward might be unknown rior to de loyment. Reward-free RL addresses this roblem by training an agent without the reward to...
conference paper 2022
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Yang, Q. (author), Simão, T. D. (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safety is critical to broadening the real-world use of reinforcement learning (RL). Modeling the safety aspects using a safety-cost signal separate from the reward is becoming standard practice, since it avoids the problem of finding a good balance between safety and performance. However, the total safety-cost distribution of different...
conference paper 2022
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Yang, Kai (author), Abbasi, Qammer H. (author), Fioranelli, F. (author), Romain, Olivier (author), Le Kernec, Julien (author)
Radar is now widely used in human activity classification because of its contactless sensing capabilities, robustness to light conditions and privacy preservation compared to plain optical images. It has great value in elderly care, monitoring accidental falls and abnormal behaviours. Monostatic radar suffers from degradation in performance...
conference paper 2022
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He, C. (author), Yang, Z. (author), Zhang, P. (author), Li, S. (author), Naeimi, M. (author), Li, Z. (author)
Polygonal wear is a common type of damage on the railway wheel tread, which could induce wheel-rail impacts and further components failure. This study presents a finite element (FE) thermomechanical model to investigate the causes of wheel polygonal wear. The FE model is able to cope with three possible causes of polygonal wear: thermal...
conference paper 2022
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Wang, Weizheng (author), Vette, Marek (author), Wang, Q. (author), Yang, J. (author), Zuniga, Marco (author)
To protect sensitive information on smartphones, state-of-the-art (SoA) studies exploit the built-in camera to capture PPG signals from fingertips as a hard-to-forge biometric. However, those studies do not provide a comprehensive analysis to optimize the camera parameters and finger pressure, leading to distorted and unstable PPG signals that...
conference paper 2022
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Yang, Ximei (author), Guendel, Ronny (author), Yarovoy, Alexander (author), Fioranelli, F. (author)
Human activities classification in assisted living is one of the emerging applications of radar. The conventional analysis considers micro-Doppler signatures as the chosen input for feature extraction or deep learning classification algorithms, or, less frequently, other radar data formats such as the range-time, the range-Doppler, or the...
conference paper 2022
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Yang, Maosheng (author), Isufi, E. (author), Leus, G.J.T. (author)
Graphs can model networked data by representing them as nodes and their pairwise relationships as edges. Recently, signal processing and neural networks have been extended to process and learn from data on graphs, with achievements in tasks like graph signal reconstruction, graph or node classifications, and link prediction. However, these...
conference paper 2022
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Yang, Maosheng (author), Isufi, E. (author)
Reconstructing simplicial signals, e.g., signals defined on nodes, edges, triangles, etc., of a network, from (partial) noisy observation is of interest in water/traffic flow estimation or currency exchange markets. Typically, this concerns solving a regularised problem w.r.t. the l2 norm of the divergence or the curl of the signal, i.e., the...
conference paper 2022
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Styczen, MacIej (author), Chen, Bing Jyue (author), Teng, Ya Wen (author), Pignolet, Yvonne Anne (author), Chen, Lydia Y. (author), Yang, De Nian (author)
When spreading information over social networks, seeding algorithms selecting users to start the dissemination play a crucial role. The majority of existing seeding algorithms focus solely on maximizing the total number of reached nodes, overlooking the issue of group fairness, in particular, gender imbalance. To tackle the challenge of...
conference paper 2022
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Demartini, Gianluca (author), Yang, J. (author), Sadiq, Shazia (author)
Although data quality is a long-standing and enduring problem, it has recently received a resurgence of attention due to the fast proliferation of data analytics, machine learning, and decision-support applications built upon the wide-scale availability and accessibility of (big) data. The success of such applications heavily relies on not...
conference paper 2022
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Wang, Zhen (author), Shan, X. (author), Zhang, Xiangxie (author), Yang, J. (author)
Current news datasets merely focus on text features on the news and rarely leverage the feature of images, excluding numerous essential features for news classification. In this paper, we propose a new dataset, N24News, which is generated from New York Times with 24 categories and contains both text and image information in each news. We use...
conference paper 2022
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He, Xianqi (author), Yang, Lin (author), Lu, Chao (author), Gong, Jianwei (author), Li, Z. (author)
In urban environments, the complex and uncertain intersection scenarios are challenging for autonomous driving. To ensure safety, it is crucial to develop an adaptive decision making system that can handle the interaction with other vehicles. Manually designed model-based methods are reliable in common scenarios. But in uncertain environments,...
conference paper 2022
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Isufi, E. (author), Yang, Maosheng (author)
This paper proposes convolutional filtering for data whose structure can be modeled by a simplicial complex (SC). SCs are mathematical tools that not only capture pairwise relationships as graphs but account also for higher-order network structures. These filters are built by following the shift-and-sum principle of the convolution operation and...
conference paper 2022
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Lu, Zhiwei (author), Li, Xiaoling (author), Wei, Jinxiu (author), Cai, Miao (author), Yang, Daoguo (author), Zhang, Kouchi (author)
UVC-LED is known as a deep ultraviolet LED. The application development and disinfection efficiency of UVC-LED modules are important problems encountered when UVC-LED products are rushed into commercialization. In this article, a specific disinfection experiment with a UVC-LED module was combined to analyze the disinfection efficiency. UVC-LEDs...
conference paper 2022
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Lv, Guoping (author), Yan, Haidong (author), Yan, Haidong (author), Yang, Daoguo (author), Wu, Xinke (author), Sheng, Kuang (author), Liu, Chaohui (author), Zhang, Yakun (author), Zhang, Kouchi (author)
As a key heat-dissipating and electrical interconnecting component in high-temperature power modules, die-attach and substrate-attach layers play an important role in effectively reducing the thermal resistance and improving the long-term reliability. Traditional substrate-attach materials limit the high-temperature applications of packaging...
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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Kamran, Danial (author), Simão, T. D. (author), Yang, Q. (author), Ponnambalam, C.T. (author), Fischer, Johannes (author), Spaan, M.T.J. (author), Lauer, Martin (author)
The use of reinforcement learning (RL) in real-world domains often requires extensive effort to ensure safe behavior. While this compromises the autonomy of the system, it might still be too risky to allow a learning agent to freely explore its environment. These strict impositions come at the cost of flexibility and applying them often relies...
conference paper 2022
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Yang, C. (author), Zhao, Y. (author), Huang, Lu (author), Xia, Liming (author), Tao, Q. (author)
Quantitative MRI (qMRI) of the heart has become an important clinical tool for examining myocardial tissue properties. Because heart is a moving object, it is usually imaged with electrocardiogram and respiratory gating during acquisition, to “freeze” its motion. In reality, gating is more-often-than-not imperfect given the heart rate...
conference paper 2022
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Zhao, Y. (author), Yang, C. (author), Schweidtmann, A.M. (author), Tao, Q. (author)
The self-configuring nnU-Net has achieved leading performance in a large range of medical image segmentation challenges. It is widely considered as the model of choice and a strong baseline for medical image segmentation. However, despite its extraordinary performance, nnU-Net does not supply a measure of uncertainty to indicate its possible...
conference paper 2022
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Sun, Zhu (author), Yang, J. (author), Feng, Kaidong (author), Fang, Hui (author), Qu, Xinghua (author), Ong, Yew Soon (author)
Product bundling is a commonly-used marketing strategy in both offline retailers and online e-commerce systems. Current research on bundle recommendation is limited by: (1) noisy datasets, where bundles are defined by heuristics, e.g., products co-purchased in the same session; and (2) specific tasks, holding unrealistic assumptions, e.g.,...
conference paper 2022
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