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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

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

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

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

Physics-directed data augmentation for deep model transfer to specific sensor

Run-time domain shifts from the training phase caused by sensor characteristic variation incur performance drops of the deep …

Wenjie Luo, Zhenyu Yan, Qun Song, Rui Tan

Physics-directed data augmentation for deep model transfer to specific sensor

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

PhyAug: Physics-directed data augmentation for deep sensing model transfer in cyber-physical systems