Yanshen Sun
Orcid: 0000-0001-6048-2978
According to our database1,
Yanshen Sun
authored at least 21 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction.
Expert Syst. Appl., 2024
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation.
CoRR, 2024
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction.
CoRR, 2024
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges.
CoRR, 2024
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention.
Expert Syst. Appl., December, 2023
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals.
Int. J. Neural Syst., November, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction.
Inf. Sci., 2023
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain.
CoRR, 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks.
CoRR, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction.
Proceedings of the IEEE International Conference on Big Data, 2023
LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks.
J. King Saud Univ. Comput. Inf. Sci., 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2020
Proceedings of the Web3D '20: The 25th International Conference on 3D Web Technology, 2020
2015
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015
2014