Liangqi Yuan
Liangqi Yuan
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🆕 FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
Multimodal federated learning (FL) aims to enrich model training in FL settings where devices are collecting measurements across …
Liangqi Yuan
,
Dong-Jun Han
,
Vishnu Pandi Chellapandi
,
Stanislaw H. Żak
,
Christopher G. Brinton
IEEE International Conference on Communications
June, 2024
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DOI
A Survey of Federated Learning for Connected and Automated Vehicles
Connected and Automated Vehicles (CAVs) are one of the emerging technologies in the automotive domain that has the potential to …
Vishnu Pandi Chellapandi
,
Liangqi Yuan
,
Stanislaw H. Żak
,
Ziran Wang
26th IEEE International Conference on Intelligent Transportation Systems (ITSC)
September, 2023
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Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
Naturalistic driving action recognition (NDAR) has proven to be an effective method for detecting driver distraction and reducing the …
Liangqi Yuan
,
Yunsheng Ma
,
Lu Su
,
Ziran Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
June, 2023
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M²DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer
Ensuring traffic safety and preventing accidents is a critical goal in daily driving, where the advancement of computer vision …
Yunsheng Ma
,
Liangqi Yuan
,
Amr Abdelraouf
,
Kyungtae Han
,
Rohit Gupta
,
Zihao Li
,
Ziran Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
June, 2023
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Extraction and Denoising of Human Signature on Radio Frequency Spectrums
This paper proposes an innovative machine-learning-based method to extract compact, accurate, and adequate human radio frequency …
Shiyu Yang
,
Liangqi Yuan
,
Jia Li
IEEE 41st International Conference on Consumer Electronics (ICCE)
January, 2023
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DOI
Smart Cushion Based on Pressure Sensor Array for Human Sitting Posture Recognition
A smart cushion based on a pressure sensor array is designed and manufactured to recognize human sitting posture. The smart cushion …
Liangqi Yuan
,
Jia Li
IEEE Sensors Conference
October, 2021
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