Liangqi Yuan

Liangqi Yuan

PhD Student

Purdue University

Greetings! I am currently a Ph.D. student in the School of Electrical and Computer Engineering at Purdue University. I earned my M.S. degree from Oakland University in 2022 under the advisement of Prof. Jia Li and Prof. Hongwei Qu. Prior to that, I received my B.E. degree from Beijing Information Science & Technology University (BISTU), Beijing, China, in 2020. Additionally, I spent my senior year as a visiting student at Oakland University in 2020.

Currently, I am serving as a Graduate Research Assistant at the ION research lab, advised by Prof. Christopher G. Brinton. Concurrently, I am actively collaborating with Prof. Ziran Wang. At the moment, my primary research project centers on Multimodal Federated Learning. Please feel free to email me if you have any questions!

Interests
  • Internet of Things
  • Machine Learning
  • Sensors
  • Biometrics
  • Pattern Recognition
Education

  • Ph.D. in Computer Engineering, 2027

    Purdue University

  • M.S. in Electrical Engineering, 2022

    Oakland University

  • Visiting Student, 2020

    Oakland University

  • B.E. in Photo-electronic Engineering, 2020

    Beijing Information Science & Technology University

News

Projects

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All Oakland University Purdue University
Federated Learning

Federated Learning

Federated learning (FL) is an innovative collaborative approach that enables numerous clients to collectively enhance knowledge while prioritizing privacy, efficiency, and minimal communication overhead. Our endeavor centers on delivering personalized FL solutions, emphasizing a human-centric design.

Passive Radio Frequency

Passive Radio Frequency

Passive radio frequency (RF) systems are capable of receiving ambient RF signals without the need for deploying new transmitters, nor transmitting, rejecting, or shielding RF signals. Moreover, these systems operate without awareness of the RF signals and do not require prior knowledge about the presence of RF transmitters.

Pressure Sensor Array

Pressure Sensor Array

Pressure is a fundamental modality of human sensing. With the designed, constructed, and characterized polymer composite material Velostat, pressure sensor arrays benefit from its flexible material properties and affordability, making them an ideal choice for applications in flexible textiles, wearable sensors, and smart home systems.

Publications

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πŸ†• Digital Ethics in Federated Learning
The Internet of Things (IoT) consistently generates vast amounts of data, sparking increasing concern over the protection of data …
IEEE Internet Computing February, 2024
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πŸ†• Digital Ethics in Federated Learning
πŸ†• A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture
In the landscape of technological innovation, autonomous racing is a dynamic and challenging domain that not only pushes the limits of …
arXiv February, 2024
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πŸ†• A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture
πŸ†• Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
Multimodal federated learning (FL) aims to enrich model training in FL settings where clients are collecting measurements across …
arXiv January, 2024
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πŸ†• Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
πŸ†• 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 …
IEEE International Conference on Communications January, 2024
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πŸ†• FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
πŸ†• Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), including perception, planning, and …
IEEE Transactions on Intelligent Vehicles November, 2023
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πŸ†• Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
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 …
26th IEEE International Conference on Intelligent Transportation Systems (ITSC) September, 2023
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A Survey of Federated Learning for Connected and Automated Vehicles
Human Sensing via Passive Spectrum Monitoring
Human sensing is significantly improving our lifestyle in many fields such as elderly healthcare and public safety. Research has …
IEEE Open Journal of Instrumentation and Measurement September, 2023
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Human Sensing via Passive Spectrum Monitoring
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 …
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops June, 2023
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Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
MΒ²DAR: 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 …
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops June, 2023
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MΒ²DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer
Decentralized Federated Learning: A Survey and Perspective
Federated learning (FL) has been gaining attention for its ability to share knowledge while maintaining user data, protecting privacy, …
arXiv June, 2023
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Decentralized Federated Learning: A Survey and Perspective
Smart Pressure e-Mat for Human Posture and Dynamic Activity Recognition
With the emphasis on healthcare, early childhood education, and fitness, non-invasive measurement and recognition methods have received …
arXiv May, 2023
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Smart Pressure e-Mat for Human Posture and Dynamic Activity Recognition
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Federated learning (FL) shines through in the internet of things (IoT) with its ability to realize collaborative learning and improve …
IEEE Internet of Things Journal May, 2023
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Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application
Three Dimensional Indoor Positioning Based on Passive Radio Frequency Signal Strength Distribution
In recent years, indoor positioning systems (IPSs) have received attention from many research fields, such as robotics, navigation, …
IEEE Internet of Things Journal March, 2023
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Three Dimensional Indoor Positioning Based on Passive Radio Frequency Signal Strength Distribution
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 …
IEEE 41st International Conference on Consumer Electronics (ICCE) January, 2023
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Extraction and Denoising of Human Signature on Radio Frequency Spectrums
Passive Radio Frequency-Based 3D Indoor Positioning System via Ensemble Learning
Passive radio frequency (PRF)-based indoor positioning systems (IPS) have attracted researchers’ attention due to their low price, easy …
International Conference on Dynamic Data Driven Applications Systems October, 2022
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Passive Radio Frequency-Based 3D Indoor Positioning System via Ensemble Learning
Interpretable Passive Multi-Modal Sensor Fusion for Human Identification and Activity Recognition
Human monitoring applications in indoor environments depend on accurate human identification and activity recognition (HIAR). Single …
Sensors August, 2022
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Interpretable Passive Multi-Modal Sensor Fusion for Human Identification and Activity Recognition
Velostat Sensor Array for Object Recognition
This paper presents a cost-effective pressure sensing system for object detection and identification. The pressure sensing system …
IEEE Sensors Journal December, 2021
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Velostat Sensor Array for Object Recognition
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 …
IEEE Sensors Conference October, 2021
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Smart Cushion Based on Pressure Sensor Array for Human Sitting Posture Recognition

Presentations

Communication-Efficient Federated Learning for Multimodal Automatic Target Recognition
The 8th Annual Workshop on Naval Applications of Machine Learning (NAML 2024)
Mar 11, 2024 California, USA
Project Poster
Advancing Personalized Driver Action Recognition in Federated Learning: User-Centric Approaches
The 35th IEEE Intelligent Vehicles Symposium (IV 2023)
Jun 4, 2023 Alaska, USA
Project Slides IoT in ITS: IV2023 Workshop

Teaching

Purdue University

Grading Assistant

Professional Activities

Technical Program Committee Member

Journal Reviewer

Conference Reviewer

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