11 citations · 26 across the 7 of their papers we have counts for
7 papers
MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels
Lilin Xu, Chaojie Gu, Rui Tan +2
Human activity recognition (HAR) will be an essential function of various emerging applications. However, HAR typically encounters challenges related to modality limitations and la…
Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Yang Lou, Qun Song, Qian Xu +2
Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of e…
Interpersonal Distance Tracking with mmWave Radar and IMUs
Yimin Dai, Xian Shuai, Rui Tan +1
Tracking interpersonal distances is essential for real-time social distancing management and {\em ex-post} contact tracing to prevent spreads of contagious diseases. Bluetooth neig…
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference
Linshan Jiang, Qun Song, Rui Tan +1
Mobile cloud offloading is indispensable for inference tasks based on large-scale deep models. However, transmitting privacy-rich inference data to the cloud incurs concerns. This…
Holographic-Type Communication for Digital Twin: A Learning-based Auction Approach
XiuYu Zhang, Minrui Xu, Rui Tan +1
Digital Twin (DT) technologies, which aim to build digital replicas of physical entities, are the key to providing efficient, concurrent simulation and analysis of real-world objec…
Indoor Smartphone SLAM with Learned Echoic Location Features
Wenjie Luo, Qun Song, Zhenyu Yan +2
Indoor self-localization is a highly demanded system function for smartphones. The current solutions based on inertial, radio frequency, and geomagnetic sensing may have degraded p…
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge
Qun Song, Zhenyu Yan, Wenjie Luo +1
Adversarial example attack endangers the mobile edge systems such as vehicles and drones that adopt deep neural networks for visual sensing. This paper presents {\em Sardino}, an a…