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Aaron Yi Ding

As Biased as You Measure: Methodological Pitfalls of Bias Evaluations in Speaker Verification Research

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Aug 24, 2024
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Analyzing and Mitigating Bias for Vulnerable Classes: Towards Balanced Representation in Dataset

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Jan 18, 2024
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A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

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Apr 13, 2023
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Design Guidelines for Inclusive Speaker Verification Evaluation Datasets

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Apr 05, 2022
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Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows

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Jan 26, 2022
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Roadmap for Edge AI: A Dagstuhl Perspective

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Nov 27, 2021
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SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification

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Jul 26, 2021
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Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence

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Dec 01, 2020
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Machine Learning Systems for Intelligent Services in the IoT: A Survey

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Jun 11, 2020
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Enabling Seamless Device Association with DevLoc using Light Bulb Networks for Indoor IoT Environments

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May 15, 2020
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