A Study of Classification Algorithm for Data Mining Based on Hybrid Intelligent Systems. - Gang Wang 003; Chenghong Zhang; Lihua Huang (SNPD, 2008)

A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering. - Gang Wang 003; Jinxing Hao; Jian Ma 008; Lihua Huang (Expert Syst. Appl., 2010)

A comparative assessment of ensemble learning for credit scoring. - Gang Wang 003; Jinxing Hao; Jian Ma 008; Hongbing Jiang (Expert Syst. Appl., 2011)

Study of corporate credit risk prediction based on integrating boosting and random subspace. - Gang Wang 003; Jian Ma 008 (Expert Syst. Appl., 2011)

A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine. - Gang Wang 003; Jian Ma 008 (Expert Syst. Appl., 2012)

Two credit scoring models based on dual strategy ensemble trees. - Gang Wang 003; Jian Ma 008; Lihua Huang; Kaiquan Xu (Knowl. Based Syst., 2012)

A Novel Approach for Personalized Article Recommendation in Online Scientific Communities. - Jianshan Sun; Jian Ma 008; Xiaoyan Liu; Zhiying Liu; Gang Wang 003; Hongbing Jiang; Thushari P. Silva (HICSS, 2013)

Sentiment classification: The contribution of ensemble learning. - Gang Wang 003; Jianshan Sun; Jian Ma 008; Kaiquan Xu; Jibao Gu (Decis. Support Syst., 2014)

An improved boosting based on feature selection for corporate bankruptcy prediction. - Gang Wang 003; Jian Ma 008; Shanlin Yang (Expert Syst. Appl., 2014)

Scientific Collaborator Recommendation in Heterogeneous Bibliographic Networks. - Chen Yang 008; Jianshan Sun; Jian Ma 008; Shanshan Zhang; Gang Wang 003; Zhongsheng Hua (HICSS, 2015)

Mining affective text to improve social media item recommendation. - Jianshan Sun; Gang Wang 003; Xusen Cheng; Yelin Fu (Inf. Process. Manag., 2015)

POS-RS: A Random Subspace method for sentiment classification based on part-of-speech analysis. - Gang Wang 003; Zhu (Drew) Zhang; Jianshan Sun; Shanlin Yang; Catherine A. Larson (Inf. Process. Manag., 2015)

Understanding researchers' Meta-Knowledge Contribution Behavior in Research Social Network: a Social Capital Perspective. - Yunhong Xu; Jianshan Sun; Gang Wang 003; Shanshan Wang; Jian Ma 008 (PACIS, 2016)

科研社交网络中基于联合概率矩阵分解的科技论文推荐方法研究 (Study of Scientific Paper Recommendation Method Based on Unified Probabilistic Matrix Factorization in Scientific Social Networks). - Liaoyuan Wu; Jun Jiang; Gang Wang 003 (计算机科学, 2016)

SSEL-ADE: A semi-supervised ensemble learning framework for extracting adverse drug events from social media. - Jing Liu; Songzheng Zhao; Gang Wang 003 (Artif. Intell. Medicine, 2018)

A new random subspace method incorporating sentiment and textual information for financial distress prediction. - Gang Wang 003; Gang Chen; Yan Chu 002 (Electron. Commer. Res. Appl., 2018)

Pharmacovigilance from social media: An improved random subspace method for identifying adverse drug events. - Jing Liu; Gang Wang 003 (Int. J. Medical Informatics, 2018)

FCE-SVM: a new cluster based ensemble method for opinion mining from social media. - Gang Wang 003; Daqing Zheng; Shanlin Yang; Jian Ma 008 (Inf. Syst. E Bus. Manag., 2018)

社会化推荐研究综述 (Review of Social Recommendation). - Gang Wang 003; Jun Jiang; Hanru Wang (计算机科学, 2018)

任务推荐中考虑任务关联度与时间因素的改进OCCF方法 (Improved OCCF Method Considering Task Relevance and Time for Task Recommendation). - Gang Wang 003; Hanru Wang; Ke Hu; Xiran He (计算机科学, 2018)

HAR-SI: A novel hybrid article recommendation approach integrating with social information in scientific social network. - Gang Wang 003; Xiran He; Carolyne Isigi Ishuga (Knowl. Based Syst., 2018)

Heterogeneous Network-based Group Recommendation Method for Scientific Social Network. - Xinyue Zhang; Hanru Wang; Gang Wang 003; Jian Ma 008 (PACIS, 2019)

Identifying Adverse Drug Events From Social Media Using An Improved Semisupervised Method. - Jing Liu; Gang Wang 003; Gang Chen (IEEE Intell. Syst., 2019)

Research and development project risk assessment using a belief rule-based system with random subspaces. - Ying Yang 009; Jun Wang; Gang Wang 003; Yu-Wang Chen (Knowl. Based Syst., 2019)

Analysis of topics, theories, and methods of information systems research in the past two decades: A knowledge graph approach. - Weiwei Deng; Xiaoming Huang; Hui Yuan; Jian Ma 008; Gang Wang 003 (PACIS, 2020)

Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures. - Gang Wang 003; Jingling Ma; Gang Chen; Ying Yang 009 (Appl. Soft Comput., 2020)

一种融合科研人员标签的学术论文推荐方法 (Academic Paper Recommendation Method Combined with Researcher Tag). - Lei Wu; Feng Yue; Hanru Wang; Gang Wang 003 (计算机科学, 2020)

Relational Time Series Forecasting for Retail Drugstores: A Graph Neural Network Approach. - Jing Liu; Gang Wang 003; Lihua Huang (ICIS, 2021)

Group article recommendation based on ER rule in Scientific Social Networks. - Gang Wang 003; Hanru Wang; Ying Yang 009; Dong-Ling Xu; Jian-Bo Yang; Feng Yue (Appl. Soft Comput., 2021)

An improved ensemble learning method for exchange rate forecasting based on complementary effect of shallow and deep features. - Gang Wang 003; Tao Tao; Jingling Ma; Hui Li; Huimin Fu 004; Yan Chu 006 (Expert Syst. Appl., 2021)

DAMER: a novel diagnosis aggregation method with evidential reasoning rule for bearing fault diagnosis. - Gang Wang 003; Feng Zhang 043; Bayi Cheng; Fang Fang (J. Intell. Manuf., 2021)

A Sequence-to-Sequence Model With Attention and Monotonicity Loss for Tool Wear Monitoring and Prediction. - Gang Wang 003; Feng Zhang 043 (IEEE Trans. Instrum. Meas., 2021)

Leveraging Multisource Heterogeneous Data for Financial Risk Prediction: A Novel Hybrid-Strategy-Based Self-Adaptive Method. - Gang Wang 003; Gang Chen; Huimin Zhao 003; Feng Zhang 043; Shanlin Yang; Tian Lu (MIS Q., 2021)

Feature Fusion based Ensemble Method for remaining useful life prediction of machinery. - Gang Wang 003; Hui Li; Feng Zhang 043; Zhangjun Wu (Appl. Soft Comput., 2022)

Group-Oriented Paper Recommendation With Probabilistic Matrix Factorization and Evidential Reasoning in Scientific Social Network. - Gang Wang 003; Xinyue Zhang; Hanru Wang; Yan Chu 006; Zhen Shao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

SUDF-RS: A new foreign exchange rate prediction method considering the complementarity of supervised and unsupervised deep representation features. - Gang Wang 003; Jingling Ma; Ying Wang; Tao Tao; Gang Ren 007; Hegong Zhu (Expert Syst. Appl., 2023)

Multiview Feature Selection With Information Complementarity and Consensus for Fault Diagnosis. - Gang Wang 003; Feng Zhang 043; Zhaojian Li (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Attentive statement fraud detection: Distinguishing multimodal financial data with fine-grained attention. - Gang Wang 003; Jingling Ma; Gang Chen (Decis. Support Syst., 2023)

Heterogeneous graph neural network with hierarchical attention for group-aware paper recommendation in scientific social networks. - Gang Wang 003; Li Zhou; Junqiao Gong; Xuan Zhang (Appl. Soft Comput., 2024)

Joint item recommendation and trust prediction with graph neural networks. - Gang Wang 003; Hanru Wang; Junqiao Gong; Jingling Ma (Knowl. Based Syst., 2024)

Multiscale Deep Subspace Clustering Network With Hierarchical Fusion Mechanism for Mechanical Fault Diagnosis. - Gang Wang 003; Mingfeng Lu (IEEE Trans. Instrum. Meas., 2024)

An evidence-based multimodal fusion approach for predicting review helpfulness with human-AI complementarity. - Ying Yang 009; Lingfeng Zhang; Gencheng Xu; Gang Ren 007; Gang Wang 003 (Expert Syst. Appl., 2024)

An Evidential Reasoning Rule-Based Ensemble Learning Approach for Evaluating Credit Risks with Customer Heterogeneity. - Ying Yang 009; Ting Gao; Gencheng Xu; Gang Wang 003 (Int. J. Inf. Technol. Decis. Mak., 2024)

A multi-level sparse attentive fusion network integrating hard and soft information for firm-level loan default prediction. - Jingling Ma; Junqiao Gong; Gang Wang 003; Xuan Zhang (Electron. Commer. Res. Appl., 2025)

Temporal Heterogeneous Relationships Enhanced Deep Clustering Network for Fault Diagnosis Using Unlabeled Multisensor Data. - Mingfeng Lu; Gang Wang 003 (IEEE Trans. Ind. Informatics, 2025)