Xingyu Mu

Orcid: 0000-0002-8459-4541

According to our database1, Xingyu Mu authored at least 15 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via <sup>18</sup>F-FDG PET/CT: a multicenter study.
BMC Medical Informatics Decis. Mak., December, 2025

IAMF-YOLO: Metal Surface Defect Detection Based on Improved YOLOv8.
IEEE Trans. Instrum. Meas., 2025

3D Vision robot online packing platform for deep reinforcement learning.
Robotics Comput. Integr. Manuf., 2025

An enhanced framework for small object detection with middle-order interaction and adaptive cross-scale aggregation.
Eng. Appl. Artif. Intell., 2025

2024
Enhanced Credit Score Prediction Using Ensemble Deep Learning Model.
CoRR, 2024

Wireless sensor health state analysis under perturbation.
Proceedings of the 5th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2024

2023
Dual-branch adaptive attention transformer for occluded person re-identification.
Image Vis. Comput., March, 2023

Learning transformer-based attention region with multiple scales for occluded person re-identification.
Comput. Vis. Image Underst., March, 2023

Analyzing Children's Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design.
Proceedings of the Computer Science and Education. Teaching and Curriculum, 2023

2022
Driving Tasks Transfer Using Deep Reinforcement Learning for Decision-Making of Autonomous Vehicles in Unsignalized Intersection.
IEEE Trans. Veh. Technol., 2022

Constructing Adaptive Multi-Scale Feature via Transformer-Aware Patch for Occluded Person Re-Identification.
Symmetry, 2022

2020
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles.
CoRR, 2020

A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles.
CoRR, 2020

Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study.
CoRR, 2020

Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning.
IEEE Access, 2020


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