Hong Wang

78 papers Journal 65Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cromdbn: Dynamic brain network analysis for neuropsychiatric diseases classification via multi-knowledge integration.
Pattern Recognit.
Kai Wu, Hong Wang, Fulin Zheng, Feiyan Feng, Tianyu Liu, Yanshen Sun
2026 J jnl
Dual-stage learning framework fusing semantics and physical knowledge for molecular property prediction.
Appl. Soft Comput.
Luhe Zhuang, Yanshen Sun, Jun Zhao, Hong Wang
2026 J jnl
Dynamic hierarchical memory improved mixture-of-experts for multimodal fake news detection.
Inf. Process. Manag.
Yihong Meng, Hong Wang, Jun Zhao, Yanshen Sun, Minglai Shao
2026 J jnl
Efficient breast cancer segmentation via Brownian Bridge diffusion with semantic fusion strategy.
Pattern Recognit.
Feiyan Feng, Tianyu Liu, Fulin Zheng, Yanshen Sun, Hong Wang
2026 J jnl
MR-DID: Multi-relational graph neural network with adaptive structural entropy optimization for dynamic intrusion detection.
Expert Syst. Appl.
Yi Gao, Jun Zhao, Hong Wang, Minglai Shao
2026 J jnl
MT-DiffGen: Unifying affinity prediction and target-aware molecule generation with a multi-task diffusion model.
Knowl. Based Syst.
Shiping Li, Hong Wang, Tao Hu, Luhe Zhuang, Jun Zhao, Yuhuang Sheng, Yanshen Sun
2026 J jnl
Structured knowledge-inspired two-stage knowledge alignment framework for Alzheimer's disease diagnosis.
Pattern Recognit.
Fulin Zheng, Hong Wang, Tianyu Liu, Feiyan Feng, Kai Wu, Cheng Liang
2025 J jnl
A social importance and category enhanced cold-start user recommendation system.
Expert Syst. Appl.
Bin Hu, Yinghong Ma, Zhiyuan Liu, Hong Wang
2025 J jnl
EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning.
Artif. Intell. Medicine
Hong Wang, Luhe Zhuang, Yijie Ding, Prayag Tiwari, Cheng Liang
2025 J jnl
Integrating clinicopathologic information and dynamic contrast-enhanced MRI for augmented prediction of neoadjuvant chemotherapy response in breast cancer.
Biomed. Signal Process. Control.
Tianyu Liu, Hong Wang, Feiyan Feng, Wei Li, Fulin Zheng, Kai Wu, Shengpeng Yu, Yanshen Sun
2025 J jnl
LLM-enhanced multi-level knowledge distillation for molecular property prediction.
Knowl. Based Syst.
Luhe Zhuang, Yanshen Sun, Jun Zhao, Yue Lu, Hong Wang
2025 J jnl
Multi-granularity physicochemical-inspired molecular representation learning for property prediction.
Expert Syst. Appl.
Kai Guan, Hong Wang, Luhe Zhuang, Yanshen Sun
2025 J jnl
Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer's disease progression.
Neural Networks
Kai Wu, Hong Wang, Feiyan Feng, Tianyu Liu, Yanshen Sun
2025 J jnl
PHO-HGNN: Hypergraph neural network based on persistent homology optimization for class-imbalanced intrusion detection.
Knowl. Based Syst.
Yi Gao, Jun Zhao, Hong Wang, Minglai Shao
2025 J jnl
Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets.
Eng. Appl. Artif. Intell.
Daoyuan Wang, Lianzhi Wang, Wenlan Chen, Hong Wang, Cheng Liang
2024 J jnl
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun
2024 J jnl
BTSSPro: Prompt-Guided Multimodal Co-Learning for Breast Cancer Tumor Segmentation and Survival Prediction.
IEEE J. Biomed. Health Informatics
Wei Li, Tianyu Liu, Feiyan Feng, Shengpeng Yu, Hong Wang, Yanshen Sun
2024 J jnl
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation.
CoRR
Feiyan Feng, Tianyu Liu, Hong Wang, Jun Zhao, Wei Li, Yanshen Sun
2024 J jnl
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction.
Expert Syst. Appl.
Shengpeng Yu, Hong Wang, Meifang Hua, Cheng Liang, Yanshen Sun
2023 J jnl
A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI.
Biomed. Signal Process. Control.
Tianyu Liu, Hong Wang, Shengpeng Yu, Feiyan Feng, Jun Zhao
2023 J jnl
Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction.
Inf. Sci.
Luhe Zhuang, Hong Wang, Jun Zhao, Yanshen Sun
2023 J jnl
CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction.
Briefings Bioinform.
Zixi Zheng, Yanyan Tan, Hong Wang, Shengpeng Yu, Tianyu Liu, Cheng Liang
2023 J jnl
Deep multi-view contrastive learning for cancer subtype identification.
Briefings Bioinform.
Wenlan Chen, Hong Wang, Cheng Liang
2023 J jnl
Detecting depression tendency with multimodal features.
Comput. Methods Programs Biomed.
Hui Zhang, Hong Wang, Shu Han, Wei Li, Luhe Zhuang
2023 J jnl
Dual Network Contrastive Learning for Predicting Microbe-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Enhao Cheng, Jun Zhao, Hong Wang, Shuguang Song, Shuxian Xiong, Yanshen Sun
2023 J jnl
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention.
Expert Syst. Appl.
Zixi Zheng, Hong Wang, Yanyan Tan, Cheng Liang, Yanshen Sun
2023 J jnl
Explainable knowledge integrated sequence model for detecting fake online reviews.
Appl. Intell.
Shu Han, Hong Wang, Wei Li, Hui Zhang, Luhe Zhuang
2023 J jnl
GCNs-FSMI: EEG recognition of mental illness based on fine-grained signal features and graph mutual information maximization.
Expert Syst. Appl.
Wei Li, Hong Wang, Luhe Zhuang
2023 J jnl
Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals.
Int. J. Neural Syst.
Shuangyong Zhang, Hong Wang, Zixi Zheng, Tianyu Liu, Weixin Li, Zishan Zhang, Yanshen Sun
2023 J jnl
Multiview Robust Graph-Based Clustering for Cancer Subtype Identification.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaofeng Shi, Cheng Liang, Hong Wang
2023 J jnl
Predicting drug-drug adverse reactions via multi-view graph contrastive representation model.
Appl. Intell.
Luhe Zhuang, Hong Wang, Meifang Hua, Wei Li, Hui Zhang
2023 J jnl
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks.
Knowl. Based Syst.
Jun Zhao, Minglai Shao, Hailiang Tang, Jianchao Liu, Lin Du, Hong Wang
2022 J jnl
A knowledge-driven network for fine-grained relationship detection between miRNA and disease.
Briefings Bioinform.
Shengpeng Yu, Hong Wang, Tianyu Liu, Cheng Liang, Jiawei Luo
2022 — conf
Current Situation and Development of Outcome-Based Education in Computer Teaching.
ICEIT
Li Gang, Hong Wang, Xinmin Song
2022 J jnl
Cyber threat prediction using dynamic heterogeneous graph learning.
Knowl. Based Syst.
Jun Zhao, Minglai Shao, Hong Wang, Xiaomei Yu, Bo Li, Xudong Liu
2022 J jnl
MS-ADR: predicting drug-drug adverse reactions base on multi-source heterogeneous convolutional signed network.
Soft Comput.
Luhe Zhuang, Hong Wang, Wei Li, Tianyu Liu, Shu Han, Hui Zhang
2022 J jnl
Medical concept integrated residual short-long temporal convolutional networks for predicting clinical events.
Concurr. Comput. Pract. Exp.
Jie Yang, Hong Wang
2022 J jnl
Unified model for collective and point anomaly detection using stacked temporal convolution networks.
Appl. Intell.
Zehui Li, Zhijie Xiang, Weijia Gong, Hong Wang
2021 J jnl
Modeling polypharmacy effects with heterogeneous signed graph convolutional networks.
Appl. Intell.
Taoran Liu, Jiancong Cui, Hui Zhuang, Hong Wang
2021 J jnl
Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning.
Knowl. Based Syst.
Jun Zhao, Minglai Shao, Hao Peng, Hong Wang, Bo Li, Xudong Liu
2021 J jnl
WSHE: User feedback-based weighted signed heterogeneous information network embedding.
Inf. Sci.
Baofang Hu, Hong Wang, Lutong Wang
2021 J jnl
Weighted multi-scale limited penetrable visibility graph for exploring atrial fibrillation rhythm.
Signal Process.
Wei Li, Hong Wang, Luhe Zhuang, Shu Han, Hui Zhang, Jihua Wang
2020 J jnl
An attention mechanism and multi-granularity-based Bi-LSTM model for Chinese Q&A system.
Soft Comput.
Xiaomei Yu, Wen-zhi Feng, Hong Wang, Qian Chu, Qi Chen
2020 J jnl
Attention-based context-aware sequential recommendation model.
Inf. Sci.
Weihua Yuan, Hong Wang, Xiaomei Yu, Nan Liu, Zhenghao Li
2020 J jnl
Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree.
J. Biomed. Informatics
Caiyu Wang, Hong Wang, Hui Zhuang, Wei Li, Shu Han, Hui Zhang, Luhe Zhuang
2020 J jnl
Diagnosis of Chronic Obstructive Pulmonary Disease Based on Transfer Learning.
IEEE Access
Qian Wang, Hong Wang, Lutong Wang, Fengping Yu
2020 J jnl
Dynamic knowledge graph based fake-review detection.
Appl. Intell.
Youli Fang, Hong Wang, Lili Zhao, Fengping Yu, Caiyu Wang
2020 J jnl
Feature-maximum-dependency-based fusion diagnosis method for COPD.
Multim. Tools Appl.
Youli Fang, Hong Wang, Lutong Wang, Ruitong Di, Yongqiang Song
2020 J jnl
Impression space model for the evaluation of Internet advertising effectiveness.
Concurr. Comput. Pract. Exp.
Yongqiang Song, Hong Wang, Changyong Zhang, Lutong Wang
2020 J jnl
Memory model for web ad effect based on multimodal features.
J. Assoc. Inf. Sci. Technol.
Hong Wang, Yongqiang Song, Lutong Wang, Xiao-Hong Hu
2020 J jnl
Semi-Supervised Gated Spectral Convolution on a Directed Signed Network.
IEEE Access
Jiancong Cui, Hui Zhuang, Taoran Liu, Hong Wang
2019 J jnl
A model of mining approximate frequent itemsets using rough set theory.
Int. J. Comput. Sci. Eng.
Xiaomei Yu, Jun Zhao, Hong Wang, Xiangwei Zheng, Xiaoyan Yan
2019 J jnl
Detecting fake reviews via dynamic multimode network.
Int. J. High Perform. Comput. Netw.
Jun Zhao, Hong Wang
2019 J jnl
Detecting sparse rating spammer for accurate ranking of online recommendation.
Int. J. Comput. Sci. Eng.
Hong Wang, Xiaomei Yu, Jun Zhao, Yuanjie Zheng
2019 J jnl
Diagnosis of COPD Based on a Knowledge Graph and Integrated Model.
IEEE Access
Youli Fang, Hong Wang, Lutong Wang, Ruitong Di, Yongqiang Song
2019 J jnl
Fusional Recognition for Depressive Tendency With Multi-Modal Feature.
IEEE Access
Hong Wang, Ying Zhou, Fengping Yu, Lili Zhao, Caiyu Wang, Yanju Ren
2019 J jnl
MCPL-Based FT-LSTM: Medical Representation Learning-Based Clinical Prediction Model for Time Series Events.
IEEE Access
Lutong Wang, Hong Wang, Yongqiang Song, Qian Wang
2019 J jnl
Sign prediction and community detection in directed signed networks based on random walk theory.
Int. J. Embed. Syst.
Baofang Hu, Hong Wang, Yuanjie Zheng
2019 J jnl
Sparse network embedding for community detection and sign prediction in signed social networks.
J. Ambient Intell. Humaniz. Comput.
Baofang Hu, Hong Wang, Xiaomei Yu, Weihua Yuan, Tianwen He
2018 — conf
Data Analysis of Blended Learning in Python Programming.
ICA3PP (3)
Qian Chu, Xiaomei Yu, Yuli Jiang, Hong Wang
2018 — conf
Detecting Fake Reviews Based on Review-Rating Consistency and Multi-dimensional Time Series.
ICA3PP (Workshops)
Youli Fang, Hong Wang, Ruitong Di, Lutong Wang, Jin Li
2018 J jnl
Drusen Segmentation From Retinal Images via Supervised Feature Learning.
IEEE Access
Xiuxiu Ren, Yuanjie Zheng, Yanna Zhao, Chao Luo, Hong Wang, Jian Lian, Yunlong He
2018 — conf
Fake Comment Detection Based on Time Series and Density Peaks Clustering.
ICA3PP (Workshops)
Ruitong Di, Hong Wang, Youli Fang, Ying Zhou
2018 — conf
Integrated Prediction Method for Mental Illness with Multimodal Sleep Function Indicators.
ICA3PP (4)
Wentao Tan, Hong Wang, Lutong Wang, Xiaomei Yu
2018 J jnl
Mining top-k approximate closed patterns in an imprecise database.
Int. J. Grid Util. Comput.
Xiaomei Yu, Hong Wang, Xiangwei Zheng
2018 J jnl
Shared-nearest-neighbor-based clustering by fast search and find of density peaks.
Inf. Sci.
Rui Liu, Hong Wang, Xiaomei Yu
2018 J jnl
Wide and Deep Model of Multi-Source Information-Aware Recommender System.
IEEE Access
Weihua Yuan, Hong Wang, Baofang Hu, Lutong Wang, Qian Wang
2017 — conf
Evaluate the Chinese Version of Machine Translation Based on Perplexity Analysis.
CSE/EUC (1)
Tianwen He, Hong Wang, Baofang Hu
2016 J jnl
Effective algorithms for vertical mining probabilistic frequent patterns in uncertain mobile environments.
Int. J. Ad Hoc Ubiquitous Comput.
Xiaomei Yu, Hong Wang, Xiangwei Zheng, Yilei Wang
2016 — conf
Link Mining in Online Social Networks with Directed Negative Relationships.
ICYCSEE (1)
Baofang Hu, Hong Wang
2015 — conf
A Model of Mining Noise-Tolerant Frequent Itemset in Transactional Databases.
INCoS
Xiaomei Yu, Hong Wang, Xiangwei Zheng, Shuangshuang Liu
2015 — conf
Dynamic Multi-relational Networks Integration and Extended Link Prediction Method.
IScIDE (2)
Hong Wang, Yanshen Sun
2015 — conf
Microblog Orientation Analysis Based on Connnectives.
BWCCA
Jun Zhao, Hong Wang
2015 — conf
Mining Approximate Frequent Patterns from Noisy Databases.
BWCCA
Xiaomei Yu, Yongqin Li, Hong Wang
2014 — conf
A Bidirectional Process Algorithm for Mining Probabilistic Frequent Itemsets.
BWCCA
Xiaomei Yu, Hong Wang, Xiangwei Zheng
2014 — conf
A Hybrid Solution of Mining Frequent Itemsets from Uncertain Database.
ICIC (2)
Xiaomei Yu, Hong Wang, Xiangwei Zheng
2014 J jnl
Applying Bi-directional Link Mining in Personalized Recommendation.
J. Softw.
Hong Wang, Yanshen Sun
2014 J jnl
Improvement of Eclat Algorithm Based on Support in Frequent Itemset Mining.
J. Comput.
Xiaomei Yu, Hong Wang