A Bidirectional Process Algorithm for Mining Probabilistic Frequent Itemsets. - Xiaomei Yu; Hong Wang 015; Xiangwei Zheng 001 (BWCCA, 2014)

A Hybrid Solution of Mining Frequent Itemsets from Uncertain Database. - Xiaomei Yu; Hong Wang 015; Xiangwei Zheng 001 (ICIC (2), 2014)

Improvement of Eclat Algorithm Based on Support in Frequent Itemset Mining. - Xiaomei Yu; Hong Wang 015 (J. Comput., 2014)

Applying Bi-directional Link Mining in Personalized Recommendation. - Hong Wang 015; Yanshen Sun (J. Softw., 2014)

Mining Approximate Frequent Patterns from Noisy Databases. - Xiaomei Yu; Yongqin Li; Hong Wang 015 (BWCCA, 2015)

Microblog Orientation Analysis Based on Connnectives. - Jun Zhao 017; Hong Wang 015 (BWCCA, 2015)

A Model of Mining Noise-Tolerant Frequent Itemset in Transactional Databases. - Xiaomei Yu; Hong Wang 015; Xiangwei Zheng 001; Shuangshuang Liu (INCoS, 2015)

Dynamic Multi-relational Networks Integration and Extended Link Prediction Method. - Hong Wang 015; Yanshen Sun (IScIDE (2), 2015)

Link Mining in Online Social Networks with Directed Negative Relationships. - Baofang Hu; Hong Wang 015 (ICYCSEE (1), 2016)

Effective algorithms for vertical mining probabilistic frequent patterns in uncertain mobile environments. - Xiaomei Yu; Hong Wang 015; Xiangwei Zheng 001; Yilei Wang (Int. J. Ad Hoc Ubiquitous Comput., 2016)

Evaluate the Chinese Version of Machine Translation Based on Perplexity Analysis. - Tianwen He; Hong Wang 015; Baofang Hu (CSE/EUC (1), 2017)

Data Analysis of Blended Learning in Python Programming. - Qian Chu; Xiaomei Yu; Yuli Jiang; Hong Wang 015 (ICA3PP (3), 2018)

Fake Comment Detection Based on Time Series and Density Peaks Clustering. - Ruitong Di; Hong Wang 015; Youli Fang; Ying Zhou (ICA3PP (Workshops), 2018)

Detecting Fake Reviews Based on Review-Rating Consistency and Multi-dimensional Time Series. - Youli Fang; Hong Wang 015; Ruitong Di; Lutong Wang; Jin Li (ICA3PP (Workshops), 2018)

Integrated Prediction Method for Mental Illness with Multimodal Sleep Function Indicators. - Wentao Tan; Hong Wang 015; Lutong Wang; Xiaomei Yu (ICA3PP (4), 2018)

Drusen Segmentation From Retinal Images via Supervised Feature Learning. - Xiuxiu Ren; Yuanjie Zheng; Yanna Zhao; Chao Luo 001; Hong Wang 015; Jian Lian; Yunlong He (IEEE Access, 2018)

Wide and Deep Model of Multi-Source Information-Aware Recommender System. - Weihua Yuan; Hong Wang 015; Baofang Hu; Lutong Wang; Qian Wang (IEEE Access, 2018)

Mining top-k approximate closed patterns in an imprecise database. - Xiaomei Yu; Hong Wang 015; Xiangwei Zheng 001 (Int. J. Grid Util. Comput., 2018)

Shared-nearest-neighbor-based clustering by fast search and find of density peaks. - Rui Liu 004; Hong Wang 015; Xiaomei Yu (Inf. Sci., 2018)

Diagnosis of COPD Based on a Knowledge Graph and Integrated Model. - Youli Fang; Hong Wang 015; Lutong Wang; Ruitong Di; Yongqiang Song (IEEE Access, 2019)

MCPL-Based FT-LSTM: Medical Representation Learning-Based Clinical Prediction Model for Time Series Events. - Lutong Wang; Hong Wang 015; Yongqiang Song; Qian Wang (IEEE Access, 2019)

Fusional Recognition for Depressive Tendency With Multi-Modal Feature. - Hong Wang 015; Ying Zhou; Fengping Yu; Lili Zhao; Caiyu Wang; Yanju Ren (IEEE Access, 2019)

Detecting sparse rating spammer for accurate ranking of online recommendation. - Hong Wang 015; Xiaomei Yu; Jun Zhao 017; Yuanjie Zheng (Int. J. Comput. Sci. Eng., 2019)

A model of mining approximate frequent itemsets using rough set theory. - Xiaomei Yu; Jun Zhao 017; Hong Wang 015; Xiangwei Zheng 001; Xiaoyan Yan (Int. J. Comput. Sci. Eng., 2019)

Sign prediction and community detection in directed signed networks based on random walk theory. - Baofang Hu; Hong Wang 015; Yuanjie Zheng (Int. J. Embed. Syst., 2019)

Detecting fake reviews via dynamic multimode network. - Jun Zhao 017; Hong Wang 015 (Int. J. High Perform. Comput. Netw., 2019)

Sparse network embedding for community detection and sign prediction in signed social networks. - Baofang Hu; Hong Wang 015; Xiaomei Yu; Weihua Yuan; Tianwen He (J. Ambient Intell. Humaniz. Comput., 2019)

Semi-Supervised Gated Spectral Convolution on a Directed Signed Network. - Jiancong Cui; Hui Zhuang; Taoran Liu; Hong Wang 015 (IEEE Access, 2020)

Diagnosis of Chronic Obstructive Pulmonary Disease Based on Transfer Learning. - Qian Wang; Hong Wang 015; Lutong Wang; Fengping Yu (IEEE Access, 2020)

Dynamic knowledge graph based fake-review detection. - Youli Fang; Hong Wang 015; Lili Zhao; Fengping Yu; Caiyu Wang (Appl. Intell., 2020)

Impression space model for the evaluation of Internet advertising effectiveness. - Yongqiang Song; Hong Wang 015; Changyong Zhang; Lutong Wang (Concurr. Comput. Pract. Exp., 2020)

Attention-based context-aware sequential recommendation model. - Weihua Yuan; Hong Wang 015; Xiaomei Yu; Nan Liu 006; Zhenghao Li (Inf. Sci., 2020)

Memory model for web ad effect based on multimodal features. - Hong Wang 015; Yongqiang Song; Lutong Wang; Xiao-Hong Hu (J. Assoc. Inf. Sci. Technol., 2020)

Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree. - Caiyu Wang; Hong Wang 015; Hui Zhuang; Wei Li 249; Shu Han; Hui Zhang; Luhe Zhuang (J. Biomed. Informatics, 2020)

Feature-maximum-dependency-based fusion diagnosis method for COPD. - Youli Fang; Hong Wang 015; Lutong Wang; Ruitong Di; Yongqiang Song (Multim. Tools Appl., 2020)

An attention mechanism and multi-granularity-based Bi-LSTM model for Chinese Q&A system. - Xiaomei Yu; Wen-zhi Feng; Hong Wang 015; Qian Chu; Qi Chen (Soft Comput., 2020)

Modeling polypharmacy effects with heterogeneous signed graph convolutional networks. - Taoran Liu; Jiancong Cui; Hui Zhuang; Hong Wang 015 (Appl. Intell., 2021)

WSHE: User feedback-based weighted signed heterogeneous information network embedding. - Baofang Hu; Hong Wang 015; Lutong Wang (Inf. Sci., 2021)

Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning. - Jun Zhao 017; Minglai Shao 001; Hao Peng 001; Hong Wang 015; Bo Li 005; Xudong Liu 001 (Knowl. Based Syst., 2021)

Weighted multi-scale limited penetrable visibility graph for exploring atrial fibrillation rhythm. - Wei Li 249; Hong Wang 015; Luhe Zhuang; Shu Han; Hui Zhang; Jihua Wang (Signal Process., 2021)

Current Situation and Development of Outcome-Based Education in Computer Teaching. - Li Gang; Hong Wang 015; Xinmin Song (ICEIT, 2022)

Unified model for collective and point anomaly detection using stacked temporal convolution networks. - Zehui Li; Zhijie Xiang; Weijia Gong; Hong Wang 015 (Appl. Intell., 2022)

A knowledge-driven network for fine-grained relationship detection between miRNA and disease. - Shengpeng Yu; Hong Wang 015; Tianyu Liu; Cheng Liang 001; Jiawei Luo 001 (Briefings Bioinform., 2022)

Medical concept integrated residual short-long temporal convolutional networks for predicting clinical events. - Jie Yang; Hong Wang 015 (Concurr. Comput. Pract. Exp., 2022)

Cyber threat prediction using dynamic heterogeneous graph learning. - Jun Zhao 017; Minglai Shao 001; Hong Wang 015; Xiaomei Yu; Bo Li 005; Xudong Liu 001 (Knowl. Based Syst., 2022)

MS-ADR: predicting drug-drug adverse reactions base on multi-source heterogeneous convolutional signed network. - Luhe Zhuang; Hong Wang 015; Wei Li 249; Tianyu Liu; Shu Han; Hui Zhang (Soft Comput., 2022)

Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction. - Luhe Zhuang; Hong Wang 015; Jun Zhao 017; Yanshen Sun (Inf. Sci., 2023)

Dual Network Contrastive Learning for Predicting Microbe-Disease Associations. - Enhao Cheng; Jun Zhao 017; Hong Wang 015; Shuguang Song; Shuxian Xiong; Yanshen Sun (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Multiview Robust Graph-Based Clustering for Cancer Subtype Identification. - Xiaofeng Shi; Cheng Liang 001; Hong Wang 015 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction. - Zixi Zheng; Yanyan Tan; Hong Wang 015; Shengpeng Yu; Tianyu Liu; Cheng Liang 001 (Briefings Bioinform., 2023)

Explainable knowledge integrated sequence model for detecting fake online reviews. - Shu Han; Hong Wang 015; Wei Li 249; Hui Zhang; Luhe Zhuang (Appl. Intell., 2023)

Predicting drug-drug adverse reactions via multi-view graph contrastive representation model. - Luhe Zhuang; Hong Wang 015; Meifang Hua; Wei Li 249; Hui Zhang (Appl. Intell., 2023)

Deep multi-view contrastive learning for cancer subtype identification. - Wenlan Chen; Hong Wang 015; Cheng Liang 001 (Briefings Bioinform., 2023)

A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI. - Tianyu Liu; Hong Wang 015; Shengpeng Yu; Feiyan Feng; Jun Zhao 017 (Biomed. Signal Process. Control., 2023)

Detecting depression tendency with multimodal features. - Hui Zhang; Hong Wang 015; Shu Han; Wei Li 249; Luhe Zhuang (Comput. Methods Programs Biomed., 2023)

GCNs-FSMI: EEG recognition of mental illness based on fine-grained signal features and graph mutual information maximization. - Wei Li 249; Hong Wang 015; Luhe Zhuang (Expert Syst. Appl., 2023)

Multi-View Graph Contrastive Learning via Adaptive Channel Optimization for Depression Detection in EEG Signals. - Shuangyong Zhang; Hong Wang 015; Zixi Zheng; Tianyu Liu; Weixin Li; Zishan Zhang; Yanshen Sun (Int. J. Neural Syst., 2023)

RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks. - Jun Zhao 017; Minglai Shao 001; Hailiang Tang; Jianchao Liu; Lin Du; Hong Wang 015 (Knowl. Based Syst., 2023)

EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention. - Zixi Zheng; Hong Wang 015; Yanyan Tan; Cheng Liang 001; Yanshen Sun (Expert Syst. Appl., 2023)

PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation. - Feiyan Feng; Tianyu Liu; Hong Wang 015; Jun Zhao 017; Wei Li 249; Yanshen Sun (CoRR, 2024)

Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction. - Shengpeng Yu; Hong Wang 015; Meifang Hua; Cheng Liang 001; Yanshen Sun (Expert Syst. Appl., 2024)

A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. - Shengpeng Yu; Hong Wang 015; Jing Li; Jun Zhao 017; Cheng Liang 001; Yanshen Sun (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

BTSSPro: Prompt-Guided Multimodal Co-Learning for Breast Cancer Tumor Segmentation and Survival Prediction. - Wei Li 249; Tianyu Liu; Feiyan Feng; Shengpeng Yu; Hong Wang 015; Yanshen Sun (IEEE J. Biomed. Health Informatics, 2024)

EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning. - Hong Wang 015; Luhe Zhuang; Yijie Ding; Prayag Tiwari; Cheng Liang 001 (Artif. Intell. Medicine, 2025)

Integrating clinicopathologic information and dynamic contrast-enhanced MRI for augmented prediction of neoadjuvant chemotherapy response in breast cancer. - Tianyu Liu; Hong Wang 015; Feiyan Feng; Wei Li 249; Fulin Zheng; Kai Wu; Shengpeng Yu; Yanshen Sun (Biomed. Signal Process. Control., 2025)

Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets. - Daoyuan Wang; Lianzhi Wang; Wenlan Chen; Hong Wang 015; Cheng Liang 001 (Eng. Appl. Artif. Intell., 2025)

Multi-granularity physicochemical-inspired molecular representation learning for property prediction. - Kai Guan; Hong Wang 015; Luhe Zhuang; Yanshen Sun (Expert Syst. Appl., 2025)

A social importance and category enhanced cold-start user recommendation system. - Bin Hu; Yinghong Ma; Zhiyuan Liu; Hong Wang 015 (Expert Syst. Appl., 2025)

LLM-enhanced multi-level knowledge distillation for molecular property prediction. - Luhe Zhuang; Yanshen Sun; Jun Zhao 017; Yue Lu; Hong Wang 015 (Knowl. Based Syst., 2025)

Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer's disease progression. - Kai Wu; Hong Wang 015; Feiyan Feng; Tianyu Liu; Yanshen Sun (Neural Networks, 2025)