Smart Cushion Based on Pressure Sensor Array for Human Sitting Posture Recognition. - Liangqi Yuan; Jia Li 010 (IEEE SENSORS, 2021)

Passive Radio Frequency-Based 3D Indoor Positioning System via Ensemble Learning. - Liangqi Yuan; Houlin Chen; Robert Ewing 001; Jia Li 010 (DDDAS, 2022)

Interpretable Passive Multi-Modal Sensor Fusion for Human Identification and Activity Recognition. - Liangqi Yuan; Jack Andrews; Huaizheng Mu; Asad Vakil; Robert Ewing 001; Erik Blasch; Jia Li 010 (Sensors, 2022)

M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer. - Yunsheng Ma; Liangqi Yuan; Amr Abdelraouf; Kyungtae Han; Rohit Gupta; Zihao Li; Ziran Wang (CVPR Workshops, 2023)

Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition. - Liangqi Yuan; Yunsheng Ma; Lu Su 001; Ziran Wang (CVPR Workshops, 2023)

Extraction and Denoising of Human Signature on Radio Frequency Spectrums. - Shiyu Yang; Liangqi Yuan; Jia Li 010 (ICCE, 2023)

A Survey of Federated Learning for Connected and Automated Vehicles. - Vishnu Pandi Chellapandi; Liangqi Yuan; Stanislaw H. Zak; Ziran Wang (ITSC, 2023)

Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition. - Liangqi Yuan; Yuan Wei; Jia Li 010 (CoRR, 2023)

Decentralized Federated Learning: A Survey and Perspective. - Liangqi Yuan; Lichao Sun 001; Philip S. Yu; Ziran Wang (CoRR, 2023)

Human Sensing via Passive Spectrum Monitoring. - Huaizheng Mu; Liangqi Yuan; Jia Li 010 (CoRR, 2023)

3-D Indoor Positioning Based on Passive Radio Frequency Signal Strength Distribution. - Liangqi Yuan; Houlin Chen; Robert L. Ewing; Erik Philip Blasch; Jia Li 010 (IEEE Internet Things J., 2023)

Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application. - Liangqi Yuan; Lu Su 001; Ziran Wang (IEEE Internet Things J., 2023)

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication. - Liangqi Yuan; Dong-Jun Han; Vishnu Pandi Chellapandi; Stanislaw H. Zak; Christopher G. Brinton (ICC, 2024)

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. - Liangqi Yuan; Dong-Jun Han; Su Wang 007; Devesh Upadhyay; Christopher G. Brinton (CoRR, 2024)

A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture. - Manuel Mar; Vishnu Chellapandi; Liangqi Yuan; Ziran Wang; Eric Dietz (CoRR, 2024)

Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation. - Jieyi Tan; Yansheng Li 001; Sergey A. Bartalev; Bo Dang 002; Wei Chen 089; Yongjun Zhang 002; Liangqi Yuan (CoRR, 2024)

Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen? - Yongsheng Mei; Liangqi Yuan; Dong-Jun Han; Kevin S. Chan; Christopher G. Brinton; Tian Lan 001 (CoRR, 2024)

Digital Ethics in Federated Learning. - Liangqi Yuan; Ziran Wang; Christopher G. Brinton (IEEE Internet Comput., 2024)

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges. - Vishnu Pandi Chellapandi; Liangqi Yuan; Christopher G. Brinton; Stanislaw H. Zak; Ziran Wang (IEEE Trans. Intell. Veh., 2024)

Decentralized Federated Learning: A Survey and Perspective. - Liangqi Yuan; Ziran Wang; Lichao Sun 001; Philip S. Yu; Christopher G. Brinton (IEEE Internet Things J., 2024)

Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models. - Wenzhi Fang; Dong-Jun Han; Liangqi Yuan; Seyyedali Hosseinalipour; Christopher G. Brinton (CoRR, 2025)

Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. - Liangqi Yuan; Dong-Jun Han; Shiqiang Wang 001; Christopher G. Brinton (CoRR, 2025)