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Aaron Yi Ding
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Design Guidelines for Inclusive Speaker Verification Evaluation Datasets


Apr 05, 2022
Wiebke Toussaint Hutiri, Lauriane Gorce, Aaron Yi Ding

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Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows


Jan 26, 2022
Wiebke Toussaint, Akhil Mathur, Fahim Kawsar, Aaron Yi Ding

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Roadmap for Edge AI: A Dagstuhl Perspective


Nov 27, 2021
Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmuller, Madhusanka Liyanage, Setareh Magshudi, Nitinder Mohan, Joerg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gurkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars Wolf

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* for ACM SIGCOMM CCR 
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SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification


Jul 26, 2021
Wiebke Toussaint, Aaron Yi Ding

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Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence


Dec 01, 2020
Wiebke Toussaint, Aaron Yi Ding

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* In Proceedings of the Second International Conference on Cognitive Machine Intelligence (CogMI 2020) 
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Machine Learning Systems for Intelligent Services in the IoT: A Survey


Jun 11, 2020
Wiebke Toussaint, Aaron Yi Ding

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Enabling Seamless Device Association with DevLoc using Light Bulb Networks for Indoor IoT Environments


May 15, 2020
Michael Haus, Jörg Ott, Aaron Yi Ding

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Transfer Learning-Based Outdoor Position Recovery with Telco Data


Dec 10, 2019
Yige Zhang, Aaron Yi Ding, Jorg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao

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