Searched for: author%3A%22Ding%2C+Aaron+Yi%22
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Li, Wanda (author), Xu, Zhiwei (author), Sun, Yi (author), Gong, Qingyuan (author), Chen, Y. (author), Ding, Aaron Yi (author), Wang, Xin (author), Hui, Pan (author)
Outstanding users (OUs) denote the influential, 'core' or 'bridge' users in online social networks. How to accurately detect and rank them is an important problem for third-party online service providers and researchers. Conventional efforts, ranging from early graph-based algorithms to recent machine learning-based approaches, typically rely on...
journal article 2023
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Katare, D. (author), Kourtellis, Nicolas (author), Park, Souneil (author), Perino, Diego (author), Janssen, M.F.W.H.A. (author), Ding, Aaron Yi (author)
A machine learning model can often produce biased outputs for a familiar group or similar sets of classes during inference over an unknown dataset. The generalization of neural networks have been studied to resolve biases, which has also shown improvement in accuracy and performance metrics, such as precision and recall, and refining the dataset...
conference paper 2023
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Katare, D. (author), Ding, Aaron Yi (author)
Connected vehicular services depend heavily on communication as they frequently transmit data and AI models/weights within the vehicular ecosystem. Energy efficiency in vehicles is crucial to keep up with the fast-growing demand for vehicular data processing and communication. To tackle this rising challenge, we explore approximation and edge AI...
conference paper 2023
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Mosterd, Lars (author), Sobota, V.C.M. (author), van de Kaa, G. (author), Ding, Aaron Yi (author), de Reuver, G.A. (author)
As digital platforms are dominating the digital economy, complex ecologies of platforms are emerging. While the openness of digital platforms is an important theme in platform studies, the openness between platforms has hardly been studied. This paper explores factors that affect decisions by platform owners to open their platforms to other...
journal article 2022
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Tonetto, Leonardo (author), Adikari, Malintha (author), Mohan, Nitinder (author), Ding, Aaron Yi (author), Ott, Jörg (author)
Human mobility shapes our daily lives, our urban environment and even the trajectory of a global pandemic. While various aspects of human mobility and inter-personal contact duration have already been studied separately, little is known about how these two key aspects of our daily lives are fundamentally connected. Better understanding of such...
journal article 2022
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Toussaint, W. (author), Ding, Aaron Yi (author)
Automated speaker recognition uses data processing to identify speakers by their voice. Today, automated speaker recognition is deployed on billions of smart devices and in services such as call centres. Despite their wide-scale deployment and known sources of bias in related domains like face recognition and natural language processing, bias in...
conference paper 2022
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Toussaint, W. (author), Gorce, Lauriane (author), Ding, Aaron Yi (author)
Speaker verification (SV) provides billions of voice-enabled devices with access control, and ensures the security of voice-driven technologies. As a type of biometrics, it is necessary that SV is unbiased, with consistent and reliable performance across speakers irrespective of their demographic, social and economic attributes. Current SV...
journal article 2022
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Peltonen, Ella (author), Ahmad, Ijaz (author), Aral, Atakan (author), Capobianco, Michele (author), Ding, Aaron Yi (author), Gil-Castineira, Felipe (author), Gilman, Ekaterina (author), Harjula, Erkki (author), Jurmu, Marko (author)
Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the...
journal article 2022
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Toussaint, W. (author), Ding, Aaron Yi (author)
In an age of surveillance capitalism, anchoring the design of emerging smart services in trustworthiness is urgent and important. Edge Intelligence, which brings together the fields of AI and Edge computing, is a key enabling technology for smart services. Trustworthy Edge Intelligence should thus be a priority research concern. However,...
conference paper 2022
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Tonetto, Leonardo (author), Carrara, Andrea (author), Ding, Aaron Yi (author), Ott, Jörg (author)
Bluetooth trackers, or tags, have quickly become ubiquitous and widely supported by multiple vendors. Beyond their original design of finding lost objects, these devices have the ability to extend the capabilities of current wireless smart devices. Since its launch in 2019, Apple’s FindMy enables any devices from their brand to be easily tracked...
conference paper 2022
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Cozzolino, Vittorio (author), Tonetto, Leonardo (author), Mohan, Nitinder (author), Ding, Aaron Yi (author), Ott, Jorg (author)
Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications depends on their smoothness and immersiveness. Modern AR applications applying computationally intensive computer vision algorithms can burden today's mobile devices, and cause high energy consumption and/or poor performance. To tackle this challenge, it...
journal article 2022
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Ding, Aaron Yi (author), Peltonen, Ella (author), Meuser, Tobias (author), Aral, Atakan (author), Becker, Christian (author), Dustdar, Schahram (author), Hiessl, Thomas (author), Kranzlmüller, Dieter (author), Liyanage, Madhusanka (author), Maghsudi, Setareh (author), Mohan, Nitinder (author), Ott, Jörg (author), Rellermeyer, Jan S. (author), Schulte, Stefan (author), Schulzrinne, Henning (author), Solmaz, Gürkan (author), Tarkoma, Sasu (author), Varghese, Blesson (author), Wolf, Lars (author)
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI. In a nutshell, we envision Edge AI to provide adaptation for data-driven applications, enhance network and radio access, and allow the creation,...
journal article 2022
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Ottun, Abdul Rasheed (author), Mane, Pramod C. (author), Yin, Zhigang (author), Paul, Souvik (author), Liyanage, Mohan (author), Pridmore, Jason (author), Ding, Aaron Yi (author), Sharma, Rajesh (author), Nurmi, Petteri (author), Flores, Huber (author)
Federated learning (FL) is a promising privacy-preserving solution to build powerful AI models. In many FL scenarios, such as healthcare or smart city monitoring, the user's devices may lack the required capabilities to collect suitable data, which limits their contributions to the global model. We contribute social-aware federated learning...
journal article 2022
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Varghese, Blesson (author), De Lara, Eyal (author), Ding, Aaron Yi (author), Hong, Cheol Ho (author), Bonomi, Flavio (author), Dustdar, Schahram (author), Harvey, Paul (author), Hewkin, Peter (author), Shi, Weisong (author)
This article argues that low latency, high bandwidth, device proliferation, sustainable digital infrastructure, and data privacy and sovereignty continue to motivate the need for edge computing research even though its initial concepts were formulated more than a decade ago.
journal article 2021
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Toussaint, W. (author), Mathur, Akhil (author), Ding, Aaron Yi (author), Kawsar, F. (author)
When deploying machine learning (ML) models on embedded and IoT devices, performance encompasses more than an accuracy metric: inference latency, energy consumption, and model fairness are necessary to ensure reliable performance under heterogeneous and resource-constrained operating conditions. To this end, prior research has studied model...
conference paper 2021
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Liyanage, Madhusanka (author), Porambage, Pawani (author), Ding, Aaron Yi (author), Kalla, Anshuman (author)
The emergence of Multi-Access Edge Computing (MEC) technology aims to extend cloud computing capabilities to the edge of the wireless access networks, i.e., closer to the end-users. Thus, MEC-enabled 5G wireless systems are envisaged to offer real-time, low-latency, and high-bandwidth access to the radio network resources. Thus, MEC allows...
journal article 2021
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Tonetto, Leonardo (author), Lagerspetz, Eemil (author), Ding, Aaron Yi (author), Ott, Jörg (author), Tarkoma, Sasu (author), Nurmi, Petteri (author)
Mobility is a fundamental characteristic of human society that shapes various aspects of our everyday interactions. This pervasiveness of mobility makes it paramount to understand factors that govern human movement and how it varies across individuals. Currently, factors governing variations in personal mobility are understudied with existing...
journal article 2021
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Ding, Aaron Yi (author), Janssen, M.F.W.H.A. (author), Crowcroft, Jon (author)
As a fast evolving domain that merges edge computing, data analytics and AI/ML, commonly referred as Edge AI, the community of Edge AI is establishing and gradually finds its way to connect with mainstream research communities of distributed systems, IoT, and embedded machine learning. Meanwhile, despite of its well-claimed potential to...
conference paper 2021
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Toussaint, W. (author), Ding, Aaron Yi (author)
Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge intelligence, which is paving our way towards the vision of ubiquitous intelligence. However, despite the maturity of machine learning systems and the IoT, we are facing severe challenges when integrating MLSys and IoT in practical context. For...
conference paper 2020
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Vial, A.A. (author), Daamen, W. (author), Ding, Aaron Yi (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
We present a design for a novel mobile sensing system (AMSense) that uses vehicles as mobile sensing nodes in a network to capture spatiotemporal properties of pedestrians and cyclists (active modes) in urban environments. In this dynamic, multi-sensor approach, real-time data, algorithms, and models are fused to estimate presence, positions and...
journal article 2020
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