A partial correlation-based Bayesian network structure learning algorithm under linear SEM. - Jing Yang 008; Lian Li 001; Aiguo Wang 002 (Knowl. Based Syst., 2011)

Causal discovery based on healthcare information. - Jing Yang 008; Ning An 001; Gil Alterovitz; Lian Li 001; Aiguo Wang 002 (BIBM, 2013)

Accelerating incremental wrapper based gene selection with K-Nearest-Neighbor. - Aiguo Wang 002; Ning An 001; Guilin Chen; Lian Li 001; Gil Alterovitz (BIBM, 2014)

Incremental wrapper based gene selection with Markov blanket. - Aiguo Wang 002; Ning An 001; Guilin Chen; Jing Yang 008; Lian Li 001; Gil Alterovitz (BIBM, 2014)

A Logistic Regression and Artificial Neural Network-Based Approach for Chronic Disease Prediction: A Case Study of Hypertension. - Aiguo Wang 002; Ning An 001; Yu Xia; Lian Li 001; Guilin Chen (iThings/GreenCom/CPSCom, 2014)

Improving PLS-RFE based gene selection for microarray data classification. - Aiguo Wang 002; Ning An 001; Guilin Chen; Lian Li 001; Gil Alterovitz (Comput. Biol. Medicine, 2015)

Predicting hypertension without measurement: A non-invasive, questionnaire-based approach. - Aiguo Wang 002; Ning An 001; Guilin Chen; Lian Li 001; Gil Alterovitz (Expert Syst. Appl., 2015)

Accelerating wrapper-based feature selection with K-nearest-neighbor. - Aiguo Wang 002; Ning An 001; Guilin Chen; Lian Li 001; Gil Alterovitz (Knowl. Based Syst., 2015)

Human Activity Recognition in a Smart Home Environment with Stacked Denoising Autoencoders. - Aiguo Wang 002; Guilin Chen; Cuijuan Shang; Miaofei Zhang; Li Liu 001 (WAIM Workshops, 2016)

A global learning with local preservation method for microarray data imputation. - Ye Chen 011; Aiguo Wang 002; Huitong Ding; Xia Que; Yabo Li; Ning An 001; Lili Jiang 002 (Comput. Biol. Medicine, 2016)

Wrapper-based gene selection with Markov blanket. - Aiguo Wang 002; Ning An 001; Jing Yang 008; Guilin Chen; Lian Li 001; Gil Alterovitz (Comput. Biol. Medicine, 2017)

Streaming feature-based causal structure learning algorithm with symmetrical uncertainty. - Jing Yang 008; Xiaoxue Guo; Ning An 001; Aiguo Wang 002; Kui Yu (Inf. Sci., 2018)

Subtype dependent biomarker identification and tumor classification from gene expression profiles. - Aiguo Wang 002; Ning An 001; Guilin Chen; Li Liu 001; Gil Alterovitz (Knowl. Based Syst., 2018)

Latent feature learning for activity recognition using simple sensors in smart homes. - Guilin Chen; Aiguo Wang 002; Shenghui Zhao; Li Liu 001; Chih-Yung Chang (Multim. Tools Appl., 2018)

Towards Human Activity Recognition: A Hierarchical Feature Selection Framework. - Aiguo Wang 002; Guilin Chen; Xi Wu 003; Li Liu 001; Ning An 001; Chih-Yung Chang (Sensors, 2018)

Microarray Missing Value Imputation: A Regularized Local Learning Method. - Aiguo Wang 002; Ye Chen 011; Ning An 001; Jing Yang 008; Lian Li 001; Lili Jiang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Stable and Accurate Feature Selection from Microarray Data with Ensembled Fast Correlation Based Filter. - Aiguo Wang 002; Huancheng Liu; Jinjun Liu; Huitong Ding; Jing Yang 008; Guilin Chen (BIBM, 2020)

A Fast Sparse Covariance-Based Fitting Method for DOA Estimation via Non-Negative Least Squares. - Chundi Zheng; Huihui Chen; Aiguo Wang 002 (ICASSP, 2020)

Evaluation of Random Forest for Complex Human Activity Recognition Using Wearable Sensors. - Aiguo Wang 002; Huihui Chen; Chundi Zheng; Liang Zhao; Jinjun Liu; Lulu Wang 002 (NaNA, 2020)

Locality adaptive preserving projections for linear dimensionality reduction. - Aiguo Wang 002; Shenghui Zhao; Jinjun Liu; Jing Yang 008; Li Liu 001; Guilin Chen (Expert Syst. Appl., 2020)

Sparsity-Aware Noise Subspace Fitting for DOA Estimation. - Chundi Zheng; Huihui Chen; Aiguo Wang 002 (Sensors, 2020)

A new machine learning method for identifying Alzheimer's disease. - Lin Liu; Shenghui Zhao; Haibao Chen; Aiguo Wang 002 (Simul. Model. Pract. Theory, 2020)

The Framework of Increasing Drivers' Income on the Online Taxi Platforms. - Huihui Chen; Bin Guo 001; Zhiwen Yu 001; Aiguo Wang 002; Chundi Zheng (IEEE Trans. Netw. Sci. Eng., 2020)

Human Activity Recognition from Accelerometer Data: Axis-Wise Versus Axes-Resultant Feature Extraction. - Aiguo Wang 002; Shenghui Zhao; Guilin Chen (CSAE, 2021)

uHealth: Smart Clothing Enable d Intelligent Ubiquitous Health Monitoring System. - Aiguo Wang 002; Huancheng Liu; Huihui Chen; Chundi Zheng; Guilin Chen (ICCE-TW, 2021)

Causal structure learning of nonlinear additive noise model based on streaming feature. - Jing Yang 008; Gaojin Fan; Anbo Shen; Aiguo Wang 002 (ICDM (Workshops), 2021)

Additive Noise Model Structure Learning Based on Rank Statistics. - Jing Yang 008; Gaojin Fan; Kai Xie; Qiqi Chen; Aiguo Wang 002 (KSEM, 2021)

Multi-domain Feature Extraction for Human Activity Recognition Using Wearable Sensors. - Aiguo Wang 002; Yue Meng; Jinjun Liu; Shenghui Zhao; Guilin Chen (NaNA, 2021)

Regularized Sparse Modelling for Microarray Missing Value Estimation. - Aiguo Wang 002; Jing Yang 008; Ning An 001 (IEEE Access, 2021)

Additive noise model structure learning based on rank correlation. - Jing Yang 008; Gaojin Fan; Kai Xie; Qiqi Chen; Aiguo Wang 002 (Inf. Sci., 2021)

Towards a Clustering Guided Hierarchical Framework for Sensor-Based Activity Recognition. - Aiguo Wang 002; Shenghui Zhao; Huan-Chao Keh; Guilin Chen; Diptendu Sinha Roy (Sensors, 2021)

Comparison of Feature Extraction Techniques for Ambient Sensor-based In-home Activity Recognition. - Aiguo Wang 002; Yue Meng; Liang Zhao; Jinjun Liu; Guilin Chen (NaNA, 2022)

Identifying Those Who Really Need Subsidies: A Data-Driven Approach. - Chunyan Yu; Linfeng Gu; Guilin Chen; Aiguo Wang 002 (NaNA, 2022)

Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model. - Jing Yang 008; Liufeng Jiang; Kai Xie; Qiqi Chen; Aiguo Wang 002 (Appl. Artif. Intell., 2022)

Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data. - Aiguo Wang 002; Huancheng Liu; Jing Yang 008; Guilin Chen (Comput. Biol. Medicine, 2022)

Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors. - Shu Wang 005; Aiguo Wang 002; Mengyuan Ran; Li Liu 001; Yuxin Peng 002; Ming Liu 007; Guoxin Su; Adi Alhudhaif; Fayadh Alenezi; Norah Alnaim (Inf. Sci., 2022)

Causality fields in nonlinear causal effect analysis. - Aiguo Wang 002; Li Liu 001; Jiaoyun Yang; Lian Li 003 (Frontiers Inf. Technol. Electron. Eng., 2022)

Accurate identification of economic hardship students: a data-driven approach. - Chunyan Yu; Linfeng Gu; Guilin Chen; Aiguo Wang 002 (Int. J. Ad Hoc Ubiquitous Comput., 2023)

Online Streaming Features Causal Discovery Algorithm Based on Partial Rank Correlation. - Jing Yang 008; Liufeng Jiang; Anbo Shen; Aiguo Wang 002 (IEEE Trans. Artif. Intell., 2023)

Lung nodule detection algorithm based on rank correlation causal structure learning. - Jing Yang 008; Liufeng Jiang; Kai Xie; Qiqi Chen; Aiguo Wang 002 (Expert Syst. Appl., 2023)

A review of wearable sensors based fall-related recognition systems. - Jiawei Liu; Xiaohu Li; Shanshan Huang 004; Rui Chao; Zhidong Cao; Shu Wang 005; Aiguo Wang 002; Li Liu 001 (Eng. Appl. Artif. Intell., 2023)

Fusion of kinematic and physiological sensors for hand gesture recognition. - Aiguo Wang 002; Huancheng Liu; Chundi Zheng; Huihui Chen; Chih-Yung Chang (Multim. Tools Appl., 2024)