I design, analyze, and build efficient edge AI systems — bringing intelligent perception closer to where data is generated, on resource-constrained hardware. My research focuses on vision transformer efficiency and edge-optimized inference, with applications in autonomous driving, medical imaging, and AI-powered fitness and sports analysis.

I am an Assistant Professor of Computer Science at Oakland University and the Director of Edge Intelligent Systems (EIS) Lab. I received my Ph.D. in Computer Science from Wayne State University, where I was advised by Dr. Weisong Shi, and my B.S. in Computer Science from Tongji University.

🖥️ Lab — Edge Intelligent System Lab

The Edge Intelligent Systems (EIS) Lab investigates how intelligent systems can perceive, reason, and act at the edge of the network — where data is generated and efficiency is critical. We aim to bridge the gap between cutting-edge deep learning and real-world deployment at the edge. Our work has been published in top-tier venues such as ICLR, IJCNN, and Neurocomputing.

Ph.D. Students

• Shaibal Saha (Fall 2022–)
• Yunge Li (Winter 2023–)
• Fan Li (Winter 2023–)

Master’s Students

• Lucas Alves (Fall 2024–)

🔥 News

• 2026.04:  🎉 Two papers have been accepted at IEEE/ACM CHASE 2026. Congratulations to the team!
• 2026.03:  🎉 Paper “Neighbor-Aware Token Reduction via Hilbert Curve for Vision Transformers” accepted at IJCNN 2026. Congratulations to Yunge!
• 2026.01:  🎉 Paper “Hilbert-Guided Sparse Local Attention” accepted at ICLR 2026. Congratulations to Yunge!
• 2025.06:  🏆 Our smart vehicle team earned 3rd place in the Self-Drive Challenge at the 32nd Intelligent Ground Vehicle Competition (IGVC). Congratulations to Yunge & Shaibal!
• 2025.05:  📖 Book Edge Computing: Systems and Applications is now available to pre-order from Wiley.
• 2025.04:  🏅 Fan Li honored with the 2024 Outstanding Thesis Award at Oakland University! Congratulations to Fan!
• 2024.06: Fan Li successfully defended her master’s thesis: “Swin Transformer-Based Multi-Task Model for Brain Tumor Analysis.”
• 2024.01: Delivered invited talk “The Practice of Edge Intelligence: Implementations and Insights” at Wayne State University.

📝 Recent Publications

👓 Full publication list 👓

Book

• Edge Computing: Systems and Applications
  Lanyu Xu and Weisong Shi
  Wiley, 2025 | Website

Conference Papers

• MTMed3D: A Multi-Task Transformer-Based Model for 3D Medical Imaging
  Fan Li, Arun Iyengar, and Lanyu Xu
  IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE), 2026

• KD-Judge: A Knowledge-Driven Automated Judge Framework for Functional Fitness Movements on Edge Devices
  Shaibal Saha, Fan Li, Yunge Li, Arun Iyengar, Lucas Alves, and Lanyu Xu
  IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE), 2026

• Neighbor-Aware Token Reduction via Hilbert Curve for Vision Transformers
  Yunge Li and Lanyu Xu
  IEEE/INNS IJCNN, 2026

• Hilbert-Guided Sparse Local Attention
  Yunge Li and Lanyu Xu
  International Conference on Learning Representations (ICLR), 2026

• LightAD: A Lightweight Vision-Based Autonomous Driving System
  Yunge Li, Zhaodong Zhou, Shaibal Saha, Ali Irshayyid, Keer Chen, Lanyu Xu, and Jun Chen
  IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST), 2026

• RepVal: A Skeleton-based Validation System for Functional Fitness Repetition on Edge Devices
  Lucas Alves, Fan Li, and Lanyu Xu
  Workshop on Edge Intelligence @ ACM/IEEE SEC, 2025 | Paper | Code

• ARMBench: Benchmarking Adversarial Robustness of Multitask Perception in Autonomous Driving
  Yunge Li, Yuhong Liu, and Lanyu Xu
  ACM/IEEE Symposium on Edge Computing (SEC), 2025 | Paper | Code

• EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices (✨Highlight Paper)
  Shaibal Saha and Lanyu Xu
  T4V Workshop @ IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 | Paper | Poster

• The Architectural Implications of Multi-modal Detection Models for Autonomous Driving Systems
  Yunge Li, Shaibal Saha, and Lanyu Xu
  IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST), 2024 | Paper

Journal Papers

• Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies
  Shaibal Saha and Lanyu Xu
  Neurocomputing, 2025 | arXiv

• Deep Reinforcement Learning and Its Applications in Medical Imaging and Radiation Therapy: A Survey
  Lanyu Xu, Simeng Zhu, and Ning Wen
  Physics in Medicine & Biology, 2022 | Paper

• NLUBroker: A QoE-driven Broker System for Natural Language Understanding Services
  Lanyu Xu, Arun Iyengar, and Weisong Shi
  ACM Transactions on Internet Technology, 2022 | Paper

• Edge Computing: Vision and Challenges (✨10,000+ Citations)
  Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu
  IEEE Internet of Things Journal, 2016 | Paper

Preprints

• Neighbor-Aware Token Reduction via Hilbert Curve for Vision Transformers
  Yunge Li and Lanyu Xu
  arXiv:2512.22760, 2025

• A Systematic Review of Research on Large Language Models for Computer Programming Education
  Meina Zhu, Lanyu Xu, and Barbara Ericson
  arXiv:2506.21818, 2025 | arXiv

• Panoptic Perception for Autonomous Driving: A Survey
  Yunge Li and Lanyu Xu
  arXiv:2408.15388, 2024 | arXiv

🎖 Honors and Awards

• 2025 NSF EAGER Award, 2025–2027 (Co-PI)
• 2025 Oakland University Research Committee Award (PI)
• 2023 NSF CRII Award, 2023–2025 (PI)
• 2023 NASA Michigan Space Grant Consortium Research Seed Grant, 2023–2024 (PI)
• 2023 Oakland University Research Committee Award (PI)

📖 Educations

• 2015 – 2021, Ph.D. in Computer Science, Wayne State University (Advisor: Dr. Weisong Shi), M.S. in Computer Science awarded in 2020.
• 2011 – 2015, B.S. in Computer Science, Tongji University

🧑‍🏫 Teaching

📂 Academic Service

Editorships

• Associate Editor, Smart Health (2025–)
• Editor, Journal of Ambient Intelligence (2022–)

Organizing Committee

• Publication Co-Chair, SEC 2026
• Publicity Co-Chair, SEC 2025
• Publication Chair, MOST 2025
• Publication Chair, MobiCom 2024
• Publication Chair, IoTDI 2024
• Student Travel Grant Chair, SEC 2023
• Publication Chair, IoTDI 2023
• Student Travel Grant Chair, SEC 2022

(Technical) Program Committee

• IEEE International Conference on Cloud Computing, 2022-26
• International Conference on Computer Communications and Networks (ICCCN), 2024-26
• The 4th Edge Computing Workshop, 2024
• International Conference on Intelligent Environments, 2023-24
• IEEE International Conference on Distributed Computing Systems (ICDCS), 2022-23
• International Conference on Machine Learning and Applications, 2021