LANYU (LORI)
profile photo

Lanyu (Lori) Xu

Lanyu is an Assistant Professor in the Computer Science and Engineering Department, Oakland University, Michigan, where she work on designing, analyzing, and implementing heterogeneous, efficient edge intelligent systems. She got her Ph.D. degree in Computer Science Department at Wayne State University under the supervision of Dr. Weisong Shi. Before that, she did her bachelors in Computer Science Department, Tongji University.

Email  /  Google Scholar  /  Linkedin

Office: 115 Library Drive, Engineering Center, Room 524

Edge Intelligent System Lab

Edge Intelligent System Lab is motivated by enabling intelligent technologies to be performed at the edge of the network, where computation happens in the proximity of data sources. Our lab is dedicated to resource-constrained hardware and computation-efficient software co-design, seeking the optimization of performance and efficiency for edge intelligent systems.

Current Ph.D. Students

  • Shaibal Saha (Fall 2022 - )

  • Yunge Li (Win 2023 - )

  • Fan Li (Win 2023 - )

  • Lucas Avles (Fall 2024 - )

  • Awards

  • NSF CRII Award, 2023-2025.
  • NASA MSGC research seed grant, 2023-2024.
  • Oakland University University Research Committee award, 2023.
  • News

  • June 2024: Fan Li successfully defended her master's thesis titled “Swin Transformer-Based Multi-Task Model for Brain Tumor Analysis.” Congratulations to Fan Li on this significant achievement!

  • Jan 2024: I delivered a talk titled "The Practice of Edge Intelligence: Implementations and Insights" at Wayne State University. Many thanks to Dr. Nathan Fisher for the kind invitation.
  • Research

    Pre-print:

    1. Panoptic Perception for Autonomous Driving: A Survey
      Yunge Li, and Lanyu Xu
      arXiv preprint arXiv:2408.15388, 2024 | paper

    2. Vision transformer based medical imaging models using FPGA: A survey
      Shaibal Saha, Lanyu Xu
      arXiv preprint, 2024

    Conference Papers:

    1. Large Language Models for Computer Programming Education: A Systematic Review of Empirical Study
      Meina Zhu, Lanyu Xu, and Barbara Ericson
      American Educational Research Association 2025

    2. 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 2024 | paper

    3. Poster: What does a Panoptic Perception Model Learn?
      Lanyu Xu
      IEEE International Conference on Mobility: Operations, Services, and Technologies 2023 | poster

    4. Poster: A Distributed Deep Reinforcement Learning System for Medical Image Segmentation
      Lanyu Xu
      IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies 2023 | poster

    5. ChatCache: A Hierarchical Semantic Redundancy Cache System for Conversational Services at Edge
      Lanyu Xu, Arun Iyengar, and Weisong Shi
      IEEE International Conference on Cloud Computing 2021 | paper

    6. A Deep Reinforcement Learning Based Pipeline for Prostate Segmentation on MRI with Low Variance Performance.
      Lanyu Xu, Weisong Shi, and Ning Wen
      American Association of Physicists in Medicine 2021 | abstract

    7. Gleason Grade Group Predictions from Mp-MRI of Prostate Cancer Patients Using Auto Deep Learning
      Weiwei Zong, Eric Carver, Aharon Feldman, Joon Lee, Zhen Sun, Lanyu Xu, Ali Dabaja,and Ning Wen
      American Association for Cancer Research 2021 | abstract

    8. CHA: A Caching Framework for Home-based Voice Assistant Systems
      Lanyu Xu, Arun Iyengar, and Weisong Shi
      ACM/IEEE Symposium on Edge Computing 2020 | paper

    9. NLUBroker: A Flexible and Responsive Broker for Cloud-based Natural Language Understanding Services
      Lanyu Xu, Arun Iyengar, and Weisong Shi
      USENIX Workshop on Hot Topics in Cloud Computing 2019 | paper

    10. OpenEI: An Open Framework for Edge Intelligence
      Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, and Weisong Shi
      IEEE International Conference on Distributed Computing Systems 2019 | paper

    11. EdgeOSH: A Home Operating System for Internet of Everything
      Jie Cao, Lanyu Xu, Raef Abdallah, and Weisong Shi
      IEEE International Conference on Distributed Computing Systems 2017 | paper

    12. Lessons and Experiences of a DIY Smart Home
      Raef Abdallah, Lanyu Xu, and Weisong Shi
      Workshop on Smart Internet of Things, in conjunction with ACM/IEEE Symposium on Edge Computing 2017 | paper

    13. User Centric Design for Aging Population: Early Experiences and Lessons
      Lanyu Xu, Heather Fritz, and Weisong Shi
      IEEE Conference on Connected Health: Applications, Systems, and Engineering Technologies 2016 | paper

    Journal Papers:

    1. 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

    2. 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

    3. An OS for Internet of Everything: Early Experience form a Smart Home Prototype
      Jie Cao, Lanyu Xu, Raef Abdallah, and Weisong Shi
      ZTE Communications 2019 | paper

    4. Real-Time Sensor Response Characteristics of 3 Commercial Metal Oxide Sensors for Detection of BTEX and Chlorinated Aliphatic Hydrocarbon Organic Vapors
      Gabriel Yurko, Javad Roostaei, Timothy Dittrich, Lanyu Xu, Michael Ewing, Yongli Zhang, and Gina Shreve
      Chemosensors 2019 | paper

    5. Huron-to-Erie Water Quality Data Platform
      Lanyu Xu, Carol J. Miller, James Olson and Michael Beaulac
      Environmental Processes 2018 | paper

    6. Edge Computing: Vision and Challenges
      Weisong Shi, Jie Cao, Quan Zhang, Youhuizi Li, and Lanyu Xu
      IEEE Internet of Things Journal 2016 | paper

    Teaching

  • CSI 3680 - Script Programming
    Fall 2023, Fall 2024

  • CSI 3660 - System Administration
    Fall 2021, Fall 2022, Fall 2023

  • CSI 4380 - Game Programming
    Win 2022, Win 2023, Win 2024

  • CSI 4110/5110 - Foundations of Edge AI
    Fall 2024

  • Services

  • Publication Chair of the MOST 2025.
  • Publication Chair of the MobiCom 2024.
  • Publication Chair of the IoTDI 2024.
  • Student Travel Grant Chair of the SEC 2023.

  • Publication Chair of the IoTDI 2023.
  • Program Committee Members of ICFEC 2024, IEEE Cloud 2024, ICDCS 2023, IEEE Cloud 2023, International Conference on Intelligent Environments 2023, ICDCS 2022, IEEE Cloud 2022, International Conference on Machine Learning and Applications 2021.

  • Student Travel Grant Chair of the SEC 2022.


  • Review editor of Cloud Computing (specialty section of Frontiers in High Performance Computing), 2023-.

  • Editor of Journal of Edge Computing, 2023-.

  • Editor of Journal of Ambient Intelligence and Smart Environment, 2022-.

  • Reviewer of ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (2022), IEEE Transactions on Cloud Computing (2022), Journal of Internet Technology (2022), EAI Endorsed Transactions on Security and Safety (2022), IEEE Internet of Things Journal (2021-), IEEE Transactions on Network and Service Management (2020), IEEE Internet Computing (2019, 2022), IEEE Transactions on Service Computing (2018-), IEEE Access (2018-), IEEE Computer Architecture Letters (2018), IGI Global Journal (2018), Elsevier Smart Health (2017-), Sustainable Computing: Informatics and Systems (2017, 2020), Future Generation Computer Systems(2017), Computing Journal (2016).


  • Committee Members of National Center for Women \& Information Technology (NCWIT), Aspirations in Computing, 2021-

  • When I am not working

    CrossFit is my life. I am a Level 1 Certified CrossFit Trainer. Here is my profile as a CrossFit athlete.

    Welcome to use this website's source code, just add a link back to here.