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Published in IEEJ Transactions on Electrical and Electronic Engineering 2021, 2021
This paper analyzes the change of armature average speed in experimental rail launcher systems.
Recommended citation: Ronggang Cao, Xiao Ma, Guangwei Zhang, Xueyi Hu, Yu Zhou. (2021). "Analysis about Change of the Armature\s Average Speed for an Experimental Rail Launcher." IEEJ Transactions on Electrical and Electronic Engineering. https://onlinelibrary.wiley.com/doi/abs/10.1002/tee.23401
Published in IEEE Sensors Journal 2021, 2021
This paper presents a novel calibration method for inner bore profile detection in electromagnetic railguns.
Recommended citation: Xiao Ma, Ronggang Cao, Yu Zhou, Xueyi Hu, Fadong Li. (2021). "A calibration method of inner bore profile detecting on electromagnetic railgun." IEEE Sensors Journal. https://ieeexplore.ieee.org/abstract/document/9481084
Published in HotMobile 2022, 2022
This paper presents a lightweight user authentication system for earable devices using non-invasive sensing techniques.
Recommended citation: Changshuo Hu, Xiao Ma, Dong Ma, Ting Dang. (2022). "Lightweight and Non-Invasive User Authentication on Earables." HotMobile 2022. https://dl.acm.org/doi/abs/10.1145/3572864.3580332
Published in Expert Systems with Applications 2022, 2022
This paper presents a deep learning and computer vision based system for detecting damage in electromagnetic railgun launchers.
Recommended citation: Yu Zhou, Ronggang Cao, Ping Li, Xiao Ma, Xueyi Hu, Fadong Li. (2022). "A damage detection system for inner bore of electromagnetic railgun launcher based on deep learning and computer vision." Expert Systems with Applications. https://www.sciencedirect.com/science/article/abs/pii/S0957417422007059
Published in PerCom 2024 (Mark Weiser Best Paper Award), 2024
This paper presents DiTMoS, a framework for selecting optimal tiny machine learning models on microcontrollers. Winner of the Mark Weiser Best Paper Award.
Recommended citation: Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma. (2024). "DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers." PerCom 2024. https://arxiv.org/abs/2403.09035
Published in IMWUT 2024 (Distinguished Paper Award), 2024
This paper presents LR-Auth, a practical system for implicit user authentication on earbuds. Winner of Distinguished Paper Award.
Recommended citation: Changshuo Hu, Xiao Ma, Xinger Huang, Yiran Shen, Dong Ma. (2024). "LR-Auth: Towards Practical Implementation of Implicit User Authentication on Earbuds." IMWUT 2024. https://dl.acm.org/doi/abs/10.1145/3699793
Published in IEEE TMC 2025, 2025
This journal paper extends our work on tiny model selection, providing comprehensive analysis and evaluation for microcontroller deployments.
Recommended citation: Xiao Ma, Shengfeng He, Hezhe Qiao, Dong Ma. (2025). "Towards Diverse Tiny-Model Selection for Microcontrollers." IEEE TMC. https://ieeexplore.ieee.org/abstract/document/10970460
Published in ICLR 2026, 2026
This paper presents a novel approach for test-time adaptation that works across different architectures without requiring backpropagation.
Recommended citation: Xiao Ma, Young D. Kwon, Pan Zhou, Dong Ma. (2026). "Architecture-Agnostic Test-Time Adaptation via Backprop-Free Embedding Alignment." ICLR 2026.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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