Xueshuo Xie

Orcid: 0000-0002-8245-8415

According to our database1, Xueshuo Xie authored at least 31 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
SmartZone: Runtime Support for Secure and Efficient On-Device Inference on ARM TrustZone.
IEEE Trans. Computers, June, 2025

Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation.
CoRR, April, 2025

Transformer for Multitemporal Hyperspectral Image Unmixing.
IEEE Trans. Image Process., 2025

Uncovering API-Scope Misalignment in the App-in-App Ecosystem.
Proc. ACM Softw. Eng., 2025

ADFQ-ViT: Activation-Distribution-Friendly post-training Quantization for Vision Transformers.
Neural Networks, 2025

Block-gram: Mining knowledgeable features for efficiently smart contract vulnerability detection.
Digit. Commun. Networks, 2025

Hybrid-Granularity Parallelism Support for Fast Transaction Processing in Blockchain-Based Federated Learning.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

2024
Quantitative evaluation of deep learning frameworks in heterogeneous computing environment.
CCF Trans. High Perform. Comput., February, 2024

DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice-based system.
Softw. Pract. Exp., 2024

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation.
CoRR, 2024

Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Memory-Efficient and Secure DNN Inference on TrustZone-enabled Consumer IoT Devices.
Proceedings of the IEEE INFOCOM 2024, 2024

OAA: An Abstraction for Efficient Accelerator Adaptation in Deep Learning Frameworks.
Proceedings of the International Joint Conference on Neural Networks, 2024

TMU: Transmission-Enhanced Mamba-UNet for Medical Image Segmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
TSC-VEE: A TrustZone-Based Smart Contract Virtual Execution Environment.
IEEE Trans. Parallel Distributed Syst., June, 2023

ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning.
CoRR, 2023

Resfusion: Prior Residual Noise embedded Denoising Diffusion Probabilistic Models.
CoRR, 2023

2022
ATOM: Architectural Support and Optimization Mechanism for Smart Contract Fast Update and Execution in Blockchain-Based IoT.
IEEE Internet Things J., 2022

Block-gram: Mining Knowledgeable Features for Smart Contract Vulnerability Detection.
Proceedings of the Smart Computing and Communication - 7th International Conference, 2022

2021
Fast Policy Interpretation and Dynamic Conflict Resolution for Blockchain-Based IoT System.
Wirel. Commun. Mob. Comput., 2021

A Confidence-Guided Evaluation for Log Parsers Inner Quality.
Mob. Networks Appl., 2021

AWAP: Adaptive weighted attribute propagation enhanced community detection model for bitcoin de-anonymization.
Appl. Soft Comput., 2021

WIP: Sysnif: Constructing Workflow from Interleaved Logs in Intelligent IoT System.
Proceedings of the 22nd IEEE International Symposium on a World of Wireless, 2021

Trusted-DNN: A TrustZone-based Adaptive Isolation Strategy for Deep Neural Networks.
Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021

2020
Confidence guided anomaly detection model for anti-concept drift in dynamic logs.
J. Netw. Comput. Appl., 2020

Blockchain-driven anomaly detection framework on edge intelligence.
CCF Trans. Netw., 2020

Attribute Propagation Enhanced Community Detection Model for Bitcoin De-anonymizing.
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2019
A Pvalue-guided Anomaly Detection Approach Combining Multiple Heterogeneous Log Parser Algorithms on IIoT Systems.
CoRR, 2019

A Confidence-Guided Anomaly Detection Approach Jointly Using Multiple Machine Learning Algorithms.
Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

An Efficient Log Parsing Algorithm Based on Heuristic Rules.
Proceedings of the Advanced Parallel Processing Technologies, 2019


  Loading...