Hong Wang

Orcid: 0000-0001-5727-7834

Affiliations:
  • Shandong Normal University, School of Information Science and Engineering, Jinan, China


According to our database1, Hong Wang authored at least 55 papers between 2014 and 2024.

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

Timeline

Legend:

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Bibliography

2024
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 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

Detecting depression tendency with multimodal features.
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

Deep multi-view contrastive learning for cancer subtype identification.
Briefings Bioinform., September, 2023

Predicting drug-drug adverse reactions via multi-view graph contrastive representation model.
Appl. Intell., July, 2023

Explainable knowledge integrated sequence model for detecting fake online reviews.
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

Multiview Robust Graph-Based Clustering for Cancer Subtype Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Dual Network Contrastive Learning for Predicting Microbe-Disease Associations.
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
Cyber threat prediction using dynamic heterogeneous graph learning.
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

Current Situation and Development of Outcome-Based Education in Computer Teaching.
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

Feature-maximum-dependency-based fusion diagnosis method for COPD.
Multim. Tools Appl., 2020

Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree.
J. Biomed. Informatics, 2020

Memory model for web ad effect based on multimodal features.
J. Assoc. Inf. Sci. Technol., 2020

Attention-based context-aware sequential recommendation model.
Inf. Sci., 2020

Impression space model for the evaluation of Internet advertising effectiveness.
Concurr. Comput. Pract. Exp., 2020

Dynamic knowledge graph based fake-review detection.
Appl. Intell., 2020

Diagnosis of Chronic Obstructive Pulmonary Disease Based on Transfer Learning.
IEEE Access, 2020

Semi-Supervised Gated Spectral Convolution on a Directed Signed Network.
IEEE Access, 2020

2019
Sparse network embedding for community detection and sign prediction in signed social networks.
J. Ambient Intell. Humaniz. Comput., 2019

A model of mining approximate frequent itemsets using rough set theory.
Int. J. Comput. Sci. Eng., 2019

Detecting sparse rating spammer for accurate ranking of online recommendation.
Int. J. Comput. Sci. Eng., 2019

Fusional Recognition for Depressive Tendency With Multi-Modal Feature.
IEEE Access, 2019

MCPL-Based FT-LSTM: Medical Representation Learning-Based Clinical Prediction Model for Time Series Events.
IEEE Access, 2019

Diagnosis of COPD Based on a Knowledge Graph and Integrated Model.
IEEE Access, 2019

2018
Shared-nearest-neighbor-based clustering by fast search and find of density peaks.
Inf. Sci., 2018

Mining top-k approximate closed patterns in an imprecise database.
Int. J. Grid Util. Comput., 2018

Wide and Deep Model of Multi-Source Information-Aware Recommender System.
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

Fake Comment Detection Based on Time Series and Density Peaks Clustering.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Data Analysis of Blended Learning in Python Programming.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017
Evaluate the Chinese Version of Machine Translation Based on Perplexity Analysis.
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

Link Mining in Online Social Networks with Directed Negative Relationships.
Proceedings of the Social Computing, 2016

2015
Dynamic Multi-relational Networks Integration and Extended Link Prediction Method.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

A Model of Mining Noise-Tolerant Frequent Itemset in Transactional Databases.
Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015

Mining Approximate Frequent Patterns from Noisy Databases.
Proceedings of the 10th International Conference on Broadband and Wireless Computing, 2015

2014
Applying Bi-directional Link Mining in Personalized Recommendation.
J. Softw., 2014

Improvement of Eclat Algorithm Based on Support in Frequent Itemset Mining.
J. Comput., 2014

A Hybrid Solution of Mining Frequent Itemsets from Uncertain Database.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

A Bidirectional Process Algorithm for Mining Probabilistic Frequent Itemsets.
Proceedings of the Ninth International Conference on Broadband and Wireless Computing, 2014


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