Haoyu Wang

Orcid: 0000-0001-9575-7345

Affiliations:
  • Shanghai University of Engineering Science, Shanghai, China


According to our database1, Haoyu Wang authored at least 26 papers between 2024 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
CVDLLM: Automated Cardiovascular Disease Diagnosis With Large-Language-Model-Assisted Graph Attentive Feature Interaction.
IEEE Trans. Artif. Intell., June, 2025

Adaptive heterogeneous graph reasoning for relational understanding in interconnected systems.
J. Supercomput., January, 2025

Sim2Real Learning With Domain Randomization for Autonomous Guidewire Navigation in Robotic-Assisted Endovascular Procedures.
IEEE Trans Autom. Sci. Eng., 2025

Adaptive Electromagnetic Analysis via Non-Euclidean Manifold Learning for Atmospheric Precipitation Understanding.
IEEE Geosci. Remote. Sens. Lett., 2025

AutoGRN: An adaptive multi-channel graph recurrent joint optimization network with Copula-based dependency modeling for spatio-temporal fusion in electrical power systems.
Inf. Fusion, 2025

An innovative contrastive learning approach to improve image recognition robustness and interpretability via simulated environmental perturbations.
Eng. Appl. Artif. Intell., 2025

Bio-K-Transformer: A pre-trained transformer-based sequence-to-sequence model for adverse drug reactions prediction.
Comput. Methods Programs Biomed., 2025

A novel approach to unlocking the synergy of large language models and chemical knowledge in biomedical signal applications.
Biomed. Signal Process. Control., 2025

Continuum Robotic Catheter Systems for Transcatheter Mitral Valve Procedures: A Technical Review.
IEEE Access, 2025

Advances in Real-Time Reconstruction of Deformable Tissues for Endoscopic Surgery: A Comprehensive Review of Gaussian Splatting Techniques and Applications.
IEEE Access, 2025

Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

MST-HA: Multi-Modal Signal Fusion with Bayesian Optimization for Robust Industrial Robot Joint Health Assessment.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Multivariate graph neural networks on enhancing syntactic and semantic for aspect-based sentiment analysis.
Appl. Intell., November, 2024

Cluster knowledge-driven vertical federated learning.
J. Supercomput., September, 2024

Inferring Intents From Equivariant-Invariant Representations and Relational Learning in Multiagent Systems.
IEEE Syst. J., September, 2024

Federated semi-supervised representation augmentation with cross-institutional knowledge transfer for healthcare collaboration.
Knowl. Based Syst., 2024

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models.
CoRR, 2024

Struct-X: Enhancing Large Language Models Reasoning with Structured Data.
CoRR, 2024

Carbon-based molecular properties efficiently predicted by deep learning-based quantum chemical simulation with large language models.
Comput. Biol. Medicine, 2024

G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction.
Comput. Biol. Medicine, 2024

AnFiS-MoH: Systematic exploration of hybrid ANFIS frameworks via metaheuristic optimization hybridization with evolutionary and swarm-based algorithms.
Appl. Soft Comput., 2024

An attentive Copula-based spatio-temporal graph model for multivariate time-series forecasting.
Appl. Soft Comput., 2024

Enhancing Multimodal Rumor Detection with Statistical Image Features and Modal Alignment via Contrastive Learning.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Enhancing Vital Sign Monitoring with Reinforcement Learning and Wavelet Analysis in Sleep Disorders.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024


  Loading...