Fuqiang Yu

Orcid: 0000-0002-7117-5524

According to our database1, Fuqiang Yu authored at least 20 papers between 2020 and 2025.

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

Timeline

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Links

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Bibliography

2025
Dynamic malware detection based on supervised contrastive learning.
Comput. Electr. Eng., 2025

G-VAE: Variational autoencoder-based adversarial attacks and defenses in industrial control systems.
Comput. Electr. Eng., 2025

DCCT-Net: A Network Combined Dynamic CNN and Transformer for Image Compressive Sensing.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Multi-Level Privacy Preserving Scheme for Visual IoT Data Based on Compressive Sensing.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024
Addressing Concept Drift in IoT Anomaly Detection: Drift Detection, Interpretation, and Adaptation.
IEEE Trans. Sustain. Comput., 2024

Multi-Interest Granularity Guided Semi-Joint Learning for N-Successive POI Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

GAITMM: Multi-Granularity Motion Sequence Learning for Gait Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2023

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

CMT: Cross-modal Memory Transformer for Medical Image Report Generation.
Proceedings of the Database Systems for Advanced Applications, 2023

PAD-Net: An Efficient Framework for Dynamic Networks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks.
CoRR, 2022

Similarity-Aware Collaborative Learning for Patient Outcome Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer.
Proceedings of the Database Systems for Advanced Applications, 2022

Temporal Hypergraph for Personalized Clinical Pathway Recommendation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Feature-Guided Logical Perception Network for Health Risk Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Parameter Optimization and Vibration Isolation Control of a Mobile Parallel Robot.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

2020
A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020


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