Conference papers

PhD Forum Abstract: Integrating Prior Knowledge and Machine Learning Techniques for Efficient AIoT Sensing
Recent advances in machine learning have inspired the development of deep neural network (DNN)-based smart sensing applications for the …
Wenjie Luo
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PhD Forum Abstract: Integrating Prior Knowledge and Machine Learning Techniques for Efficient AIoT Sensing
Physics-Informed Machine Learning Model Generalization in AIoT: Opportunites and Challenges
Recent advances in machine learning inspire the development of deep neural network-based smart sensing applications for the Artificial …
Wenjie Luo, Rui Tan
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Physics-Informed Machine Learning Model Generalization in AIoT: Opportunites and Challenges
Indoor Smartphone SLAM with Learned Echoic Location Features
Indoor self-localization is a highly demanded system function for smartphones. The current solutions based on inertial, radio …
Wenjie Luo, Qun Song, Zhenyu Yan, Rui Tan, Guosheng Lin
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Indoor Smartphone SLAM with Learned Echoic Location Features
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge
Adversarial example attack endangers the mobile edge systems such as vehicles and drones that adopt deep neural networks for visual …
Qun Song, Zhenyu Yan, Wenjie Luo, Rui Tan
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Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge
PhyAug: Physics-directed data augmentation for deep sensing model transfer in cyber-physical systems
Run-time domain shifts from training-phase domains are common in sensing systems designed with deep learning. The shifts can be caused …
Wenjie Luo, Zhenyu Yan, Qun Song, Rui Tan
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PhyAug: Physics-directed data augmentation for deep sensing model transfer in cyber-physical systems