Hong Wang
Orcid: 0000-0001-5727-7834Affiliations:
- Shandong Normal University, School of Information Science and Engineering, Jinan, China
According to our database1,
Hong Wang
authored at least 61 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Multi-granularity physicochemical-inspired molecular representation learning for property prediction.
Expert Syst. Appl., 2025
Integrating clinicopathologic information and dynamic contrast-enhanced MRI for augmented prediction of neoadjuvant chemotherapy response in breast cancer.
Biomed. Signal Process. Control., 2025
2024
BTSSPro: Prompt-Guided Multimodal Co-Learning for Breast Cancer Tumor Segmentation and Survival Prediction.
IEEE J. Biomed. Health Informatics, December, 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
2023
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention.
Expert Syst. Appl., December, 2023
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks.
Knowl. Based Syst., November, 2023
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals.
Int. J. Neural Syst., November, 2023
GCNs-FSMI: EEG recognition of mental illness based on fine-grained signal features and graph mutual information maximization.
Expert Syst. Appl., October, 2023
Comput. Methods Programs Biomed., October, 2023
A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI.
Biomed. Signal Process. Control., September, 2023
Briefings Bioinform., September, 2023
Predicting drug-drug adverse reactions via multi-view graph contrastive representation model.
Appl. Intell., July, 2023
Appl. Intell., March, 2023
CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction.
Briefings Bioinform., January, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 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
2022
Knowl. Based Syst., 2022
Medical concept integrated residual short-long temporal convolutional networks for predicting clinical events.
Concurr. Comput. Pract. Exp., 2022
A knowledge-driven network for fine-grained relationship detection between miRNA and disease.
Briefings Bioinform., 2022
Unified model for collective and point anomaly detection using stacked temporal convolution networks.
Appl. Intell., 2022
Proceedings of the 11th International Conference on Educational and Information Technology, 2022
2021
Weighted multi-scale limited penetrable visibility graph for exploring atrial fibrillation rhythm.
Signal Process., 2021
Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning.
Knowl. Based Syst., 2021
WSHE: User feedback-based weighted signed heterogeneous information network embedding.
Inf. Sci., 2021
Modeling polypharmacy effects with heterogeneous signed graph convolutional networks.
Appl. Intell., 2021
2020
An attention mechanism and multi-granularity-based Bi-LSTM model for Chinese Q&A system.
Soft Comput., 2020
Multim. Tools Appl., 2020
Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree.
J. Biomed. Informatics, 2020
J. Assoc. Inf. Sci. Technol., 2020
Concurr. Comput. Pract. Exp., 2020
IEEE Access, 2020
IEEE Access, 2020
2019
Sparse network embedding for community detection and sign prediction in signed social networks.
J. Ambient Intell. Humaniz. Comput., 2019
Sign prediction and community detection in directed signed networks based on random walk theory.
Int. J. Embed. Syst., 2019
Int. J. Comput. Sci. Eng., 2019
Int. J. Comput. Sci. Eng., 2019
IEEE Access, 2019
MCPL-Based FT-LSTM: Medical Representation Learning-Based Clinical Prediction Model for Time Series Events.
IEEE Access, 2019
2018
Inf. Sci., 2018
Int. J. Grid Util. Comput., 2018
IEEE Access, 2018
IEEE Access, 2018
Integrated Prediction Method for Mental Illness with Multimodal Sleep Function Indicators.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
Detecting Fake Reviews Based on Review-Rating Consistency and Multi-dimensional Time Series.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018
2017
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017
2016
Effective algorithms for vertical mining probabilistic frequent patterns in uncertain mobile environments.
Int. J. Ad Hoc Ubiquitous Comput., 2016
Proceedings of the Social Computing, 2016
2015
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015
Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015
Proceedings of the 10th International Conference on Broadband and Wireless Computing, 2015
2014
J. Comput., 2014
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
Proceedings of the Ninth International Conference on Broadband and Wireless Computing, 2014