Lanyu Xu

Orcid: 0000-0003-3442-8411

According to our database1, Lanyu Xu authored at least 25 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
KD-Judge: A Knowledge-Driven Automated Judge Framework for Functional Fitness Movements on Edge Devices.
CoRR, April, 2026

2025
Neighbor-Aware Token Reduction via Hilbert Curve for Vision Transformers.
CoRR, December, 2025

MTMed3D: A Multi-Task Transformer-Based Model for 3D Medical Imaging.
CoRR, November, 2025

Hilbert-Guided Block-Sparse Local Attention.
CoRR, November, 2025

A systematic review of research on large language models for computer programming education.
CoRR, June, 2025

EfficientQuant: An Efficient Post-Training Quantization for CNN-Transformer Hybrid Models on Edge Devices.
CoRR, June, 2025

Vision transformers on the edge: A comprehensive survey of model compression and acceleration strategies.
Neurocomputing, 2025

Adversarial Attacks and Defenses for Panoptic Perception Models in Autonomous Driving.
Proceedings of the 22nd IEEE International Conference on Mobile Ad-Hoc and Smart Systems, 2025

ARMBench: Benchmarking Adversarial Robustness of Multitask Perception in Autonomous Driving.
Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

RepVal: A Skeleton-based Validation System for Functional Fitness Repetition on Edge Devices.
Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

2024
Panoptic Perception for Autonomous Driving: A Survey.
CoRR, 2024

The Architectural Implications of Multi-modal Detection Models for Autonomous Driving Systems.
Proceedings of the IEEE International Conference on Mobility, 2024

2023
What does a Panoptic Perception Model Learn?
Proceedings of the IEEE International Conference on Mobility, 2023

Poster: A Distributed Deep Reinforcement Learning System for Medical Image Segmentation.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023

2022
<i>NLUBroker</i>: A QoE-driven Broker System for Natural Language Understanding Services.
ACM Trans. Internet Techn., 2022

2021
ChatCache: A Hierarchical Semantic Redundancy Cache System for Conversational Services at Edge.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
CHA: A Caching Framework for Home-based Voice Assistant Systems.
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

2019
OpenEI: An Open Framework for Edge Intelligence.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

NLUBroker: A Flexible and Responsive Broker for Cloud-based Natural Language Understanding Services.
Proceedings of the 11th USENIX Workshop on Hot Topics in Cloud Computing, 2019

2018
Enabling Semantics in oneM2M Service Delivery Platform.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018

2017
EdgeOS_H: A Home Operating System for Internet of Everything.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Lessons and experiences of a DIY smart home.
Proceedings of the Workshop on Smart Internet of Things, SmartIoT@SEC 2017, 2017

2016
Edge Computing: Vision and Challenges.
IEEE Internet Things J., 2016

User Centric Design for Aging Population: Early Experiences and Lessons.
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

2012
Multi-Scale Model Of Dam Safety Condition Monitoring Based On Dynamic Bayesian Networks.
Intell. Autom. Soft Comput., 2012


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