Liangqi Yuan
Computer Science · Purdue University West Lafayette
Publications
48
Citations
762
Est. group size
~4
Recurring co-author estimate
Active years
6
Publishing since 2021
Liangqi Yuan works on federated learning (a way of training AI models across many devices without centralizing raw data), sensor-based human and vehicle monitoring, and remote sensing image analysis. Recent projects include driver behavior recognition, indoor positioning using radio signals, autonomous racing vehicle sensors, and large-scale collaborative learning for satellite/remote-sensing imagery. Much of the work connects privacy-preserving machine learning techniques with real-world sensing applications like connected vehicles and smart environments.
Publication output was minimal before 2021, then rose sharply starting in 2023, and has remained at a high, fairly steady level (roughly 8-9 per year) through 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
IEEE Transactions on Mobile Computing · 2026
- REST: Holistic Learning for End-to-End Semantic Segmentation of Whole-Scene Remote Sensing Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2025
- Unleashing the potential of remote sensing foundation models via bridging data and computility islands
The Innovation · 2025
- Advanced Sensor Configurations for High-Speed Autonomous Racing Vehicles
IEEE Journal of Selected Areas in Sensors · 2025
- LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
arXiv (Cornell University) · 2025
- Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition
IEEE Journal of Selected Areas in Sensors · 2024
- Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
arXiv (Cornell University) · 2024
- Passive Radio Frequency-Based 3D Indoor Positioning System via Ensemble Learning
Lecture notes in computer science · 2024
- A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture
arXiv (Cornell University) · 2024
- Federated Transfer–Ordered–Personalized Learning for Driver Monitoring Application
IEEE Internet of Things Journal · 2023
- 3-D Indoor Positioning Based on Passive Radio Frequency Signal Strength Distribution
IEEE Internet of Things Journal · 2023
- Human Sensing via Passive Spectrum Monitoring
IEEE Open Journal of Instrumentation and Measurement · 2023
- A Survey of Federated Learning for Connected and Automated Vehicles
2023
- Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition
2023
- M<sup>2</sup>DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer
2023
- arXiv (Cornell University)×25
- IEEE Internet of Things Journal×3
- IEEE Journal of Selected Areas in Sensors×2
- IEEE Transactions on Intelligent Vehicles×1
- Sensors×1
- Christopher W. Clifton
Computer Science · Purdue University West Lafayette
- Chris Clifton
Computer Science · Purdue University West Lafayette
- Satyavrat Wagle
Computer Science · Purdue University West Lafayette
- Mi Zhang
Computer Science · The Ohio State University
- Shafkat Islam
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile