Lanyu (Lori) Xu

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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. EdgeOS^H: 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

10. 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

11. 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

Services