Yuhuan Lu

Orcid: 0000-0002-9141-3032

According to our database1, Yuhuan Lu authored at least 20 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites.
Inf. Fusion, 2025

2024
SKGC: A General Semantic-Level Knowledge Guided Classification Framework for Fetal Congenital Heart Disease.
IEEE J. Biomed. Health Informatics, October, 2024

Camera-Aware Differentiated Clustering With Focal Contrastive Learning for Unsupervised Vehicle Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction.
IEEE Trans. Knowl. Data Eng., June, 2024

HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos.
IEEE J. Biomed. Health Informatics, May, 2024

A Fast Hybrid Feature Selection Method Based on Dynamic Clustering and Improved Particle Swarm Optimization for High-Dimensional Health Care Data.
IEEE Trans. Consumer Electron., February, 2024

On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction.
CoRR, 2024

CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models.
CoRR, 2024

Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Fetal Cardiac Structure Detection Using Multi-task Learning.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

HyperCL: A Contrastive Learning Framework for Hyper-Relational Knowledge Graph Embedding with Hierarchical Ontology.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Automatic incident detection using edge-cloud collaboration based deep learning scheme for intelligent transportation systems.
Appl. Intell., November, 2023

Vehicle Trajectory Prediction in Connected Environments via Heterogeneous Context-Aware Graph Convolutional Networks.
IEEE Trans. Intell. Transp. Syst., August, 2023

HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments.
IEEE J. Biomed. Health Informatics, 2022

Online Trajectory Estimation Based on a Network-Wide Cellular Fingerprint Map.
Sensors, 2022

2021
Dual attentive graph neural network for metro passenger flow prediction.
Neural Comput. Appl., 2021

City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling.
CoRR, 2021

2020
Clarifying Origin-Destination Flows Using Force-Directed Edge Bundling Layout.
IEEE Access, 2020

2019
Learning trajectories as words: a probabilistic generative model for destination prediction.
Proceedings of the MobiQuitous 2019, 2019


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