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Wang, S. (author), Zong, Qihang (author), Yang, Huiru (author), Huang, Qianming (author), Ye, Huaiyu (author), French, P.J. (author)In recent years, flexible strain sensors based on metal cracks have garnered significant interest for their exceptional sensitivity. However, striking a balance between sensitivity and detection range remains a significant challenge, which often limits its wider application. Herein, we introduce an innovative laser transmission pyrolysis...conference paper 2024
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Zhou, Yimin (author), Gillavry, Merlijn Mac (author), Yang, Pengzhi (author), Xu, Zihao (author), Zhang, Baitian (author), Bidarra, Rafael (author)As one of the most disruptive human-computer interaction techniques, Virtual Reality (VR) provides a novel way to examine human movements, e.g. when investigating Body Ownership (BO) in the field of cognitive sciences, especially when the visual output diverges from real-world actions. Previous research in BO uses questionnaires and brain...conference paper 2024
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Zhu, P. (author), Wang, Zhen (author), Okumura, Manabu (author), Yang, J. (author)Textbook question answering is challenging as it aims to automatically answer various questions on textbook lessons with long text and complex diagrams, requiring reasoning across modalities. In this work, we propose MRHF, a novel framework that incorporates dense passage re-ranking and the mixture-of-experts architecture for TQA. MRHF...conference paper 2024
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Yang, Q. (author), Spaan, M.T.J. (author)Without an assigned task, a suitable intrinsic objective for an agent is to explore the environment efficiently. However, the pursuit of exploration will inevitably bring more safety risks.<br/>An under-explored aspect of reinforcement learning is how to achieve safe efficient exploration when the task is unknown.<br/>In this paper, we propose a...conference paper 2023
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Sharifi Noorian, S. (author), Qiu, S. (author), Sayin, Burcu (author), Balayn, A.M.A. (author), Gadiraju, Ujwal (author), Yang, J. (author), Bozzon, A. (author)High-quality data plays a vital role in developing reliable image classification models. Despite that, what makes an image difficult to classify remains an unstudied topic. This paper provides a first-of-its-kind, model-agnostic characterization of image atypicality based on human understanding. We consider the setting of image classification...conference paper 2023
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Lammerts, Philippe (author), Lippmann, P. (author), Hsu, Yen Chia (author), Casati, Fabio (author), Yang, J. (author)Hate speech moderation remains a challenging task for social media platforms. Human-AI collaborative systems offer the potential to combine the strengths of humans' reliability and the scalability of machine learning to tackle this issue effectively. While methods for task handover in human-AI collaboration exist that consider the costs of...conference paper 2023
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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 application of reinforcement learning (RL). Often, we train RL agents in a controlled environment, such as a laboratory, before deploying them in the real world. However, the real-world target task might be unknown prior to deployment. Reward-free RL trains an agent without the reward to adapt quickly once...conference paper 2023
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Mesbah, Sepideh (author), Arous, Ines (author), Yang, J. (author), Bozzon, A. (author)Evaluating design ideas is necessary to predict their success and assess their impact early on in the process. Existing methods rely either on metrics computed by systems that are effective but subject to errors and bias, or experts' ratings, which are accurate but expensive and long to collect. Crowdsourcing offers a compelling way to...conference paper 2023
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Arango, Erica (author), Nogal Macho, M. (author), Yang, M. (author), Sousa, Hélder S. (author), Stewart, Mark G. (author), Matos, José C. (author)Wildfires have become a source of concern for society due to the increase in frequency, intensity, and unpredictability. This has caused serious impacts all over the world, even in areas where this type of problem did not occur before. Studies on the adaptation of critical infrastructure have been conducted to reduce the...conference paper 2023
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Yang, Maosheng (author), Das, B. (author), Isufi, E. (author)Simplicial convolutional filters can process signals defined over levels of a simplicial complex such as nodes, edges, triangles, and so on with applications in e.g., flow prediction in transportation or financial networks. However, the underlying topology expands over time in a way that new edges and triangles form. For example, in a...conference paper 2023
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Balayn, A.M.A. (author), Yurrita Semperena, M. (author), Yang, J. (author), Gadiraju, Ujwal (author)Fairness toolkits are developed to support machine learning (ML) practitioners in using algorithmic fairness metrics and mitigation methods. Past studies have investigated practical challenges for toolkit usage, which are crucial to understanding how to support practitioners. However, the extent to which fairness toolkits impact practitioners’...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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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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Li, Wenting (author), Yang, Jiahong (author), Cheng, Haibo (author), Wang, Ping (author), Liang, K. (author)Modeling password distributions is a fundamental problem in password security, benefiting the research and applications on password guessing, password strength meters, honey password vaults, etc. As one of the best segment-based password models, WordPCFG has been proposed to capture individual semantic segments (called words) in passwords....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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Hou, Biao (author), Yang, Song (author), Kuipers, F.A. (author), Jiao, Lei (author), Fu, Xiaoming (author)Recent years have witnessed video streaming grad- ually evolve into one of the most popular Internet applications. With the rapidly growing personalized demand for real-time video streaming services, maximizing their Quality of Experience (QoE) is a long-standing challenge. The emergence of the server- less computing paradigm has potential to...conference paper 2023
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Balayn, A.M.A. (author), Rikalo, N. (author), Yang, J. (author), Bozzon, A. (author)Handling failures in computer vision systems that rely on deep learning models remains a challenge. While an increasing number of methods for bug identification and correction are proposed, little is known about how practitioners actually search for failures in these models. We perform an empirical study to understand the goals and needs of...conference paper 2023
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Fu, Bin (author), Sun, B. (author), Guo, Hang (author), Yang, Tao (author), Fu, Wenxing (author)The current study presents an online iterative adaptive dynamic programming approach to resolve the zero-sum game (ZSG) for nonlinear continuous-time (CT) systems containing a partially unknown dynamic. The Hamilton-Jacobian-Issacs (HJI) equation is solved along the state trajectory according to the value function approximation and the policy...conference paper 2023
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Lu, J. (author), Yang, Y. (author), van der Ham, H.W.M. (author), Fu, Danny (author)Geopolymer concrete is a new alternative material to conventional concrete with less carbon dioxide emissions. Researchers have reported much research on the material properties of geopolymer concrete. However, research on the behaviour of this newmaterial at the structural level is still limited, especially at a full-scale structural level....conference paper 2023
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Ibrahim, M.S. (author), Poliotti, M. (author), Yang, Y. (author), Hendriks, M.A.N. (author)Typically precast girders are designed and utilized as simple supported members. Alternatively, the precast girders can be made continuous at the intermediate support using cast-in-place concrete topping. Once the girders are made continuous, time-dependent restraint moments will occur. The magnitude of the restraint moment is mainly affected by...conference paper 2023