LANYU (LORI)
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Lanyu (Lori) Xu

I am an Assistant Professor in the Computer Science and Engineering Department, Oakland University, Michigan, where I work on designing, analyzing, and implementing heterogeneous, efficient edge intelligent systems. In August 2021, I got my Ph.D. degree in Computer Science Department at Wayne State University under the supervision of Dr. Weisong Shi. Before that, I did my bachelors in Computer Science Department, Tongji University.

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Office: 115 Library Drive, Engineering Center, Room 524

Edge Intelligent System Lab

I'm looking for self-motivated master and Ph.D. students in the areas of edge intelligence, connected health, and/or autonomous driving. Students with either CS or CE majors are welcome to apply. For current OU students interested in working with me, welcome to stop by my office and see if there is a good match.

Current Ph.D. Students

  • Shaibal Saha (Fall 2022 - )

  • Yunge Li (Win 2023 - )

  • Research

    I'm interested in designing, analyzing, and implementing heterogeneous, efficient edge intelligent systems, with connected health and autonomous driving as the currently focused application domain.

    Conference Papers:

    1. 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 2022 | paper

    2. 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 | poster

    3. 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

    4. 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

    5. 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

    6. 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

    7. 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

    8. 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

    9. 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 3360 - System Administration
    Fall 2022, Fall 2023

  • CSI 4380 - Game Programming
    Win 2022, Win 2023

  • Services

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

  • Program Committee Members of 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.

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

  • 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).

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