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ORCIDHong Wang 0015
Person information
- affiliation: Shandong Normal University, School of Information Science and Engineering, Jinan, China
Other persons with the same name
- Hong Wang — disambiguation page
- Hong Wang 0001
![[0000-0003-1069-9786]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1069-9786")
— Oak Ridge National Laboratory, Oak Ridge, TN, USA (and 7 more) - Hong Wang 0002 — University of Connecticut, Department of Computer Science and Engineering
- Hong Wang 0003 — Intel Santa Clara, California
- Hong Wang 0004 — Tsinghua University
- Hong Wang 0005 — University of Idaho, Department of Mathematics, Moscow, ID, USA (and 2 more)
- Hong Wang 0006 — Tohoku University
- Hong Wang 0007 — University of Toledo, Ohio, USA
- Hong Wang 0008 — Nanyang Technological University, Singapore
- Hong Wang 0009 — Central South University, School of Mathematics and Statistics, Changsha, China (and 1 more)
- Hong Wang 0010 — Northeastern University, Department of Mechanical Engineering and Automation, Shenyang, China (and 1 more)
- Hong Wang 0011 — City University of Hong Kong, State Key Laboratory of Millimeter Waves, Hong Kong (and 1 more)
- Hong Wang 0012 — Nanjing Audit University, Institute for Social and Economic Research, China (and 1 more)
- Hong Wang 0013 — Agriculture and Agri-Food Canada, Saskatchewan, Canada
- Hong Wang 0014 — Tsinghua University, Tsinghua Intelligent Vehicle Design and Safety Research Institute, Beijing, China (and 2 more)
- Hong Wang 0016 — Hong Kong Polytechnic University, Department of Mechanical Engineering, Hong Kong (and 1 more)
- Hong Wang 0017 — Air Force Engineering University, Information and Navigation College, Xi'an, China (and 1 more)
- Hong Wang 0018 — University of South Carolina, Department of Mathematics, USA
- Hong Wang 0019 — Qilu Hospital of Shandong University, Jinan, China
- Hong Wang 0020 — University of Greenwich, London, UK
- Hong Wang 0021 — Tencent Jarvis Lab, Shenzhen, China (and 1 more)
- Hong Wang 0022 — Beijing Normal University, Faculty of Geographical Science, State Key Laboratory of Earth Surface Processes and Resource Ecology, China
- Hong Wang 0023 — University of California, Santa Barbara, CA, USA
- Hong Wang 0024 — Brookhaven National Laboratory, NY, USA (and 1 more)
- Hong Wang 0025 — Beijing Institute of Technology, Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education, China (and 1 more)
- Hong Wang 0026 — Shanxi Normal University, School of Mathematics and Computer Science, China
- Hong Wang 0027 — Henan Key Laboratory of Network Cryptography Technology, State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
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2020 – today
- 2024
[j46]Shengpeng Yu, Hong Wang, Meifang Hua, Cheng Liang, Yanshen Sun:
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction. Expert Syst. Appl. 252: 124092 (2024)- [j45]Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun:
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 45-56 (2024) - 2023
- [j44]Shu Han, Hong Wang, Wei Li, Hui Zhang, Luhe Zhuang:
Explainable knowledge integrated sequence model for detecting fake online reviews. Appl. Intell. 53(6): 6953-6965 (2023) - [j43]Luhe Zhuang, Hong Wang, Meifang Hua, Wei Li, Hui Zhang:
Predicting drug-drug adverse reactions via multi-view graph contrastive representation model. Appl. Intell. 53(14): 17411-17428 (2023) - [j42]Zixi Zheng, Yanyan Tan, Hong Wang, Shengpeng Yu, Tianyu Liu, Cheng Liang:
CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction. Briefings Bioinform. 24(1) (2023) - [j41]Wenlan Chen, Hong Wang, Cheng Liang:
Deep multi-view contrastive learning for cancer subtype identification. Briefings Bioinform. 24(5) (2023) - [j40]Tianyu Liu, Hong Wang, Shengpeng Yu, Feiyan Feng, Jun Zhao:
A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI. Biomed. Signal Process. Control. 86(Part B): 105145 (2023) - [j39]Hui Zhang, Hong Wang, Shu Han, Wei Li, Luhe Zhuang:
Detecting depression tendency with multimodal features. Comput. Methods Programs Biomed. 240: 107702 (2023) - [j38]Wei Li, Hong Wang, Luhe Zhuang:
GCNs-FSMI: EEG recognition of mental illness based on fine-grained signal features and graph mutual information maximization. Expert Syst. Appl. 228: 120227 (2023) - [j37]Zixi Zheng, Hong Wang, Yanyan Tan, Cheng Liang, Yanshen Sun:
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention. Expert Syst. Appl. 234: 121016 (2023) - [j36]Shuangyong Zhang, Hong Wang, Zixi Zheng, Tianyu Liu, Weixin Li, Zishan Zhang, Yanshen Sun:
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals. Int. J. Neural Syst. 33(11): 2350055:1-2350055:17 (2023) - [j35]Luhe Zhuang, Hong Wang, Jun Zhao, Yanshen Sun:
Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction. Inf. Sci. 642: 119139 (2023) - [j34]Jun Zhao, Minglai Shao, Hailiang Tang, Jianchao Liu, Lin Du, Hong Wang:
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks. Knowl. Based Syst. 280: 111029 (2023) - [j33]Xiaofeng Shi, Cheng Liang, Hong Wang:
Multiview Robust Graph-Based Clustering for Cancer Subtype Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 544-556 (2023) - [j32]Enhao Cheng, Jun Zhao, Hong Wang, Shuguang Song, Shuxian Xiong, Yanshen Sun:
Dual Network Contrastive Learning for Predicting Microbe-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3469-3481 (2023) - 2022
- [j31]Zehui Li, Zhijie Xiang, Weijia Gong, Hong Wang:
Unified model for collective and point anomaly detection using stacked temporal convolution networks. Appl. Intell. 52(3): 3118-3131 (2022) - [j30]Shengpeng Yu, Hong Wang, Tianyu Liu, Cheng Liang, Jiawei Luo:
A knowledge-driven network for fine-grained relationship detection between miRNA and disease. Briefings Bioinform. 23(3) (2022) - [j29]Jie Yang, Hong Wang:
Medical concept integrated residual short-long temporal convolutional networks for predicting clinical events. Concurr. Comput. Pract. Exp. 34(21) (2022) - [j28]Jun Zhao, Minglai Shao, Hong Wang, Xiaomei Yu, Bo Li, Xudong Liu:
Cyber threat prediction using dynamic heterogeneous graph learning. Knowl. Based Syst. 240: 108086 (2022) - [c12]Li Gang, Hong Wang, Xinmin Song:
Current Situation and Development of Outcome-Based Education in Computer Teaching. ICEIT 2022: 36-39 - 2021
- [j27]Taoran Liu, Jiancong Cui, Hui Zhuang, Hong Wang:
Modeling polypharmacy effects with heterogeneous signed graph convolutional networks. Appl. Intell. 51(11): 8316-8333 (2021) - [j26]Baofang Hu, Hong Wang, Lutong Wang:
WSHE: User feedback-based weighted signed heterogeneous information network embedding. Inf. Sci. 579: 167-185 (2021) - [j25]Jun Zhao, Minglai Shao, Hao Peng, Hong Wang, Bo Li, Xudong Liu:
Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning. Knowl. Based Syst. 228: 107296 (2021) - [j24]Wei Li, Hong Wang, Luhe Zhuang, Shu Han, Hui Zhang, Jihua Wang:
Weighted multi-scale limited penetrable visibility graph for exploring atrial fibrillation rhythm. Signal Process. 189: 108288 (2021) - 2020
- [j23]Qian Wang, Hong Wang, Lutong Wang, Fengping Yu:
Diagnosis of Chronic Obstructive Pulmonary Disease Based on Transfer Learning. IEEE Access 8: 47370-47383 (2020) - [j22]Jiancong Cui, Hui Zhuang, Taoran Liu, Hong Wang:
Semi-Supervised Gated Spectral Convolution on a Directed Signed Network. IEEE Access 8: 49705-49716 (2020) - [j21]Youli Fang, Hong Wang, Lili Zhao, Fengping Yu, Caiyu Wang:
Dynamic knowledge graph based fake-review detection. Appl. Intell. 50(12): 4281-4295 (2020) - [j20]Yongqiang Song, Hong Wang, Changyong Zhang, Lutong Wang:
Impression space model for the evaluation of Internet advertising effectiveness. Concurr. Comput. Pract. Exp. 32(11) (2020) - [j19]Weihua Yuan, Hong Wang, Xiaomei Yu, Nan Liu, Zhenghao Li:
Attention-based context-aware sequential recommendation model. Inf. Sci. 510: 122-134 (2020) - [j18]Hong Wang, Yongqiang Song, Lutong Wang, Xiao-Hong Hu:
Memory model for web ad effect based on multimodal features. J. Assoc. Inf. Sci. Technol. 71(1): 29-42 (2020) - [j17]Caiyu Wang, Hong Wang, Hui Zhuang, Wei Li, Shu Han, Hui Zhang, Luhe Zhuang:
Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree. J. Biomed. Informatics 111: 103583 (2020) - [j16]Youli Fang, Hong Wang, Lutong Wang, Ruitong Di, Yongqiang Song:
Feature-maximum-dependency-based fusion diagnosis method for COPD. Multim. Tools Appl. 79(21-22): 15191-15208 (2020) - [j15]Xiaomei Yu, Wen-zhi Feng, Hong Wang, Qian Chu, Qi Chen:
An attention mechanism and multi-granularity-based Bi-LSTM model for Chinese Q&A system. Soft Comput. 24(8): 5831-5845 (2020)
2010 – 2019
- 2019
- [j14]Hong Wang, Ying Zhou, Fengping Yu, Lili Zhao, Caiyu Wang, Yanju Ren:
Fusional Recognition for Depressive Tendency With Multi-Modal Feature. IEEE Access 7: 38702-38713 (2019) - [j13]Youli Fang, Hong Wang, Lutong Wang, Ruitong Di, Yongqiang Song:
Diagnosis of COPD Based on a Knowledge Graph and Integrated Model. IEEE Access 7: 46004-46013 (2019) - [j12]Lutong Wang, Hong Wang, Yongqiang Song, Qian Wang:
MCPL-Based FT-LSTM: Medical Representation Learning-Based Clinical Prediction Model for Time Series Events. IEEE Access 7: 70253-70264 (2019) - [j11]Xiaomei Yu, Jun Zhao, Hong Wang, Xiangwei Zheng, Xiaoyan Yan:
A model of mining approximate frequent itemsets using rough set theory. Int. J. Comput. Sci. Eng. 19(1): 71-82 (2019) - [j10]Hong Wang, Xiaomei Yu, Jun Zhao, Yuanjie Zheng:
Detecting sparse rating spammer for accurate ranking of online recommendation. Int. J. Comput. Sci. Eng. 19(1): 121-131 (2019) - [j9]Baofang Hu, Hong Wang, Yuanjie Zheng:
Sign prediction and community detection in directed signed networks based on random walk theory. Int. J. Embed. Syst. 11(2): 200-209 (2019) - [j8]Baofang Hu, Hong Wang, Xiaomei Yu, Weihua Yuan, Tianwen He:
Sparse network embedding for community detection and sign prediction in signed social networks. J. Ambient Intell. Humaniz. Comput. 10(1): 175-186 (2019) - 2018
- [j7]Xiuxiu Ren, Yuanjie Zheng, Yanna Zhao, Chao Luo, Hong Wang, Jian Lian, Yunlong He:
Drusen Segmentation From Retinal Images via Supervised Feature Learning. IEEE Access 6: 2952-2961 (2018) - [j6]Weihua Yuan, Hong Wang, Baofang Hu, Lutong Wang, Qian Wang:
Wide and Deep Model of Multi-Source Information-Aware Recommender System. IEEE Access 6: 49385-49398 (2018) - [j5]Xiaomei Yu, Hong Wang, Xiangwei Zheng:
Mining top-k approximate closed patterns in an imprecise database. Int. J. Grid Util. Comput. 9(2): 97-107 (2018) - [j4]Rui Liu, Hong Wang, Xiaomei Yu:
Shared-nearest-neighbor-based clustering by fast search and find of density peaks. Inf. Sci. 450: 200-226 (2018) - [c11]Youli Fang, Hong Wang, Ruitong Di, Lutong Wang, Jin Li:
Detecting Fake Reviews Based on Review-Rating Consistency and Multi-dimensional Time Series. ICA3PP (Workshops) 2018: 117-123 - [c10]Ruitong Di, Hong Wang, Youli Fang, Ying Zhou:
Fake Comment Detection Based on Time Series and Density Peaks Clustering. ICA3PP (Workshops) 2018: 124-130 - [c9]Qian Chu, Xiaomei Yu, Yuli Jiang, Hong Wang:
Data Analysis of Blended Learning in Python Programming. ICA3PP (3) 2018: 209-217 - [c8]Wentao Tan, Hong Wang, Lutong Wang, Xiaomei Yu:
Integrated Prediction Method for Mental Illness with Multimodal Sleep Function Indicators. ICA3PP (4) 2018: 573-580 - 2017
- [c7]Tianwen He, Hong Wang, Baofang Hu:
Evaluate the Chinese Version of Machine Translation Based on Perplexity Analysis. CSE/EUC (1) 2017: 278-281 - 2016
- [j3]Xiaomei Yu, Hong Wang, Xiangwei Zheng, Yilei Wang:
Effective algorithms for vertical mining probabilistic frequent patterns in uncertain mobile environments. Int. J. Ad Hoc Ubiquitous Comput. 23(3/4): 137-151 (2016) - [c6]Baofang Hu, Hong Wang:
Link Mining in Online Social Networks with Directed Negative Relationships. ICYCSEE (1) 2016: 428-440 - 2015
- [c5]Xiaomei Yu, Yongqin Li, Hong Wang:
Mining Approximate Frequent Patterns from Noisy Databases. BWCCA 2015: 400-403 - [c4]Xiaomei Yu, Hong Wang, Xiangwei Zheng, Shuangshuang Liu:
A Model of Mining Noise-Tolerant Frequent Itemset in Transactional Databases. INCoS 2015: 21-24 - [c3]Hong Wang, Yanshen Sun:
Dynamic Multi-relational Networks Integration and Extended Link Prediction Method. IScIDE (2) 2015: 193-203 - 2014
- [j2]Xiaomei Yu, Hong Wang:
Improvement of Eclat Algorithm Based on Support in Frequent Itemset Mining. J. Comput. 9(9): 2116-2123 (2014) - [j1]Hong Wang, Yanshen Sun:
Applying Bi-directional Link Mining in Personalized Recommendation. J. Softw. 9(8): 2223-2231 (2014) - [c2]Xiaomei Yu, Hong Wang, Xiangwei Zheng:
A Bidirectional Process Algorithm for Mining Probabilistic Frequent Itemsets. BWCCA 2014: 334-339 - [c1]Xiaomei Yu, Hong Wang, Xiangwei Zheng:
A Hybrid Solution of Mining Frequent Itemsets from Uncertain Database. ICIC (2) 2014: 581-590
Coauthor Index
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