Yuhuan Lu
Orcid: 0000-0001-5332-3389
According to our database1,
Yuhuan Lu
authored at least 31 papers
between 2019 and 2025.
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Bibliography
2025
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction.
IEEE Trans. Knowl. Data Eng., September, 2025
Knowledge-Driven Lane Change Prediction for Secure and Reliable Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., September, 2025
IEEE Trans. Medical Imaging, July, 2025
VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs.
CoRR, May, 2025
Lane Change Prediction for Autonomous Driving With Transferred Trajectory Interaction.
IEEE Trans. Intell. Transp. Syst., April, 2025
Dynamic spatiotemporal graph convolutional network collaborative pre-training learning for traffic flow prediction.
Knowl. Based Syst., 2025
Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites.
Inf. Fusion, 2025
Spatio-temporal attention based collaborative local-global learning for traffic flow prediction.
Eng. Appl. Artif. Intell., 2025
AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
HyperFM: Fact-Centric Multimodal Fusion for Link Prediction over Hyper-Relational Knowledge Graphs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Trans. Intell. Transp. Syst., December, 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
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
A YOLOX-Based Deep Instance Segmentation Neural Network for Cardiac Anatomical Structures in Fetal Ultrasound Images.
IEEE Trans. Comput. Biol. Bioinform., 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
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
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
Sensors, 2022
2021
Neural Comput. Appl., 2021
CoRR, 2021
2020
IEEE Access, 2020
2019
Learning trajectories as words: a probabilistic generative model for destination prediction.
Proceedings of the MobiQuitous 2019, 2019