Yihong Dong
Orcid: 0000-0001-6228-4019
According to our database1,
Yihong Dong
authored at least 62 papers
between 2012 and 2025.
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Bibliography
2025
FC-HGNN: A heterogeneous graph neural network based on brain functional connectivity for mental disorder identification.
Inf. Fusion, 2025
2024
A Graph Contrastive Learning Model Based on Structural and Semantic View for HIN Recommendation.
Neural Process. Lett., February, 2024
A novel study for depression detecting using audio signals based on graph neural network.
Biomed. Signal Process. Control., February, 2024
Comput. Animat. Virtual Worlds, 2024
Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm.
Frontiers Artif. Intell., 2024
CoRR, 2024
Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection.
CoRR, 2024
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR, 2024
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR, 2024
SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation.
CoRR, 2024
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.
CoRR, 2024
Biomed. Signal Process. Control., 2024
A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Signal Transformer: Complex-Valued Attention and Meta-Learning for Signal Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Appl. Intell., October, 2023
A dual-path U-Net for pulmonary vessel segmentation method based on lightweight 3D attention.
Mach. Vis. Appl., September, 2023
Appl. Intell., September, 2023
A time sequence coding based node-structure feature model oriented to node classification.
Expert Syst. Appl., August, 2023
Neural Comput. Appl., February, 2023
Appl. Intell., February, 2023
Linking online and offline intergenerational knowledge transfer to younger employees' innovative work behaviors: evidence from Chinese hospitals.
J. Knowl. Manag., 2023
CoRR, 2023
A multi-scale interactive U-Net for pulmonary vessel segmentation method based on transfer learning.
Biomed. Signal Process. Control., 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023
Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
Comput. Biol. Medicine, 2022
The deep fusion of topological structure and attribute information for anomaly detection in attributed networks.
Appl. Intell., 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Incorporating domain knowledge through task augmentation for front-end JavaScript code generation.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
2021
IEEE Trans. Cogn. Commun. Netw., 2021
Proc. ACM Comput. Graph. Interact. Tech., 2021
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021
2020
A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence.
Sci. Program., 2020
Inf., 2020
Comput. Ind. Eng., 2020
Proceedings of the Security and Privacy in Digital Economy, 2020
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020
2019
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
2018
计算机科学, 2018
2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
2012
Microprocess. Microsystems, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the Database and Expert Systems Applications, 2012