Yongqiang Han

Orcid: 0009-0004-8788-6461

According to our database1, Yongqiang Han authored at least 14 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Hybrid generative adversarial network based on a mixed attention fusion module for multi-modal MR image synthesis algorithm.
Int. J. Mach. Learn. Cybern., June, 2024

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation.
CoRR, 2024

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.
CoRR, 2024

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
CoRR, 2024

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

2023
LKDA-GAN: Cross-modality image synthesis via Generative Adversarial Network aggregating large kernel decomposable attention bottleneck block.
Comput. Vis. Image Underst., December, 2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

2020
A Novel Cooperative Localization Method Based on IMU and UWB.
Sensors, 2020

Frogman Self-Navigation Method Based on Virtual Transponder Array and Dead Reckoning.
IEEE Access, 2020

Heterogeneous Dimensionality Reduction for Efficient Motion Planning in High-Dimensional Spaces.
IEEE Access, 2020

2019
Speeding up Gaussian Belief Space Planning for Underwater Robots Through a Covariance Upper Bound.
IEEE Access, 2019

2016
A Novel Zero Velocity Interval Detection Algorithm for Self-Contained Pedestrian Navigation System with Inertial Sensors.
Sensors, 2016

A Wi-Fi Indoor Localization Strategy Using Particle Swarm Optimization Based Artificial Neural Networks.
Int. J. Distributed Sens. Networks, 2016

2010
A new correction method for Dead Reckoning navigation system based on digital map.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010


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