Aiguo Wang

According to our database, Aiguo Wang authored at least 42 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fusion of kinematic and physiological sensors for hand gesture recognition.

Aiguo Wang, Huancheng Liu, Chundi Zheng, Huihui Chen, Chih-Yung Chang

Multim. Tools Appl., August, 2024

2023

A review of wearable sensors based fall-related recognition systems.

Jiawei Liu, Xiaohu Li, Shanshan Huang, Rui Chao, Zhidong Cao, Shu Wang, Aiguo Wang, Li Liu

Eng. Appl. Artif. Intell., May, 2023

Lung nodule detection algorithm based on rank correlation causal structure learning.

Jing Yang, Liufeng Jiang, Kai Xie, Qiqi Chen, Aiguo Wang

Expert Syst. Appl., April, 2023

Online Streaming Features Causal Discovery Algorithm Based on Partial Rank Correlation.

Jing Yang, Liufeng Jiang, Anbo Shen, Aiguo Wang

IEEE Trans. Artif. Intell., February, 2023

Accurate identification of economic hardship students: a data-driven approach.

Chunyan Yu, Linfeng Gu, Guilin Chen, Aiguo Wang

Int. J. Ad Hoc Ubiquitous Comput., 2023

2022

Causality fields in nonlinear causal effect analysis.

Aiguo Wang, Li Liu, Jiaoyun Yang, Lian Li

Frontiers Inf. Technol. Electron. Eng., 2022

Hand gesture recognition framework using a lie group based spatio-temporal recurrent network with multiple hand-worn motion sensors.

Shu Wang, Aiguo Wang, Mengyuan Ran, Li Liu, Yuxin Peng, Ming Liu, Guoxin Su, Adi Alhudhaif, Fayadh Alenezi, Norah Alnaim

Inf. Sci., 2022

Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data.

Aiguo Wang, Huancheng Liu, Jing Yang, Guilin Chen

Comput. Biol. Medicine, 2022

Causal Structure Learning Algorithm Based on Partial Rank Correlation under Additive Noise Model.

Jing Yang, Liufeng Jiang, Kai Xie, Qiqi Chen, Aiguo Wang

Appl. Artif. Intell., 2022

Identifying Those Who Really Need Subsidies: A Data-Driven Approach.

Chunyan Yu, Linfeng Gu, Guilin Chen, Aiguo Wang

Proceedings of the International Conference on Networking and Network Applications, 2022

Comparison of Feature Extraction Techniques for Ambient Sensor-based In-home Activity Recognition.

Aiguo Wang, Yue Meng, Liang Zhao, Jinjun Liu, Guilin Chen

Proceedings of the International Conference on Networking and Network Applications, 2022

2021

Towards a Clustering Guided Hierarchical Framework for Sensor-Based Activity Recognition.

Aiguo Wang, Shenghui Zhao, Huan-Chao Keh, Guilin Chen, Diptendu Sinha Roy

Sensors, 2021

Additive noise model structure learning based on rank correlation.

Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang

Inf. Sci., 2021

Regularized Sparse Modelling for Microarray Missing Value Estimation.

Aiguo Wang, Jing Yang, Ning An

IEEE Access, 2021

Multi-domain Feature Extraction for Human Activity Recognition Using Wearable Sensors.

Aiguo Wang, Yue Meng, Jinjun Liu, Shenghui Zhao, Guilin Chen

Proceedings of the 2021 International Conference on Networking and Network Applications, 2021

Additive Noise Model Structure Learning Based on Rank Statistics.

Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang

Proceedings of the Knowledge Science, Engineering and Management, 2021

Causal structure learning of nonlinear additive noise model based on streaming feature.

Jing Yang, Gaojin Fan, Anbo Shen, Aiguo Wang

Proceedings of the 2021 International Conference on Data Mining, 2021

uHealth: Smart Clothing Enable d Intelligent Ubiquitous Health Monitoring System.

Aiguo Wang, Huancheng Liu, Huihui Chen, Chundi Zheng, Guilin Chen

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2021

Human Activity Recognition from Accelerometer Data: Axis-Wise Versus Axes-Resultant Feature Extraction.

Aiguo Wang, Shenghui Zhao, Guilin Chen

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020

The Framework of Increasing Drivers' Income on the Online Taxi Platforms.

Huihui Chen, Bin Guo, Zhiwen Yu, Aiguo Wang, Chundi Zheng

IEEE Trans. Netw. Sci. Eng., 2020

A new machine learning method for identifying Alzheimer's disease.

Lin Liu, Shenghui Zhao, Haibao Chen, Aiguo Wang

Simul. Model. Pract. Theory, 2020

Sparsity-Aware Noise Subspace Fitting for DOA Estimation.

Chundi Zheng, Huihui Chen, Aiguo Wang

Sensors, 2020

Locality adaptive preserving projections for linear dimensionality reduction.

Aiguo Wang, Shenghui Zhao, Jinjun Liu, Jing Yang, Li Liu, Guilin Chen

Expert Syst. Appl., 2020

Evaluation of Random Forest for Complex Human Activity Recognition Using Wearable Sensors.

Aiguo Wang, Huihui Chen, Chundi Zheng, Liang Zhao, Jinjun Liu, Lulu Wang

Proceedings of the International Conference on Networking and Network Applications, 2020

A Fast Sparse Covariance-Based Fitting Method for DOA Estimation via Non-Negative Least Squares.

Chundi Zheng, Huihui Chen, Aiguo Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Stable and Accurate Feature Selection from Microarray Data with Ensembled Fast Correlation Based Filter.

Aiguo Wang, Huancheng Liu, Jinjun Liu, Huitong Ding, Jing Yang, Guilin Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Microarray Missing Value Imputation: A Regularized Local Learning Method.

Aiguo Wang, Ye Chen, Ning An, Jing Yang, Lian Li, Lili Jiang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

2018

Towards Human Activity Recognition: A Hierarchical Feature Selection Framework.

Aiguo Wang, Guilin Chen, Xi Wu, Li Liu, Ning An, Chih-Yung Chang

Sensors, 2018

Latent feature learning for activity recognition using simple sensors in smart homes.

Guilin Chen, Aiguo Wang, Shenghui Zhao, Li Liu, Chih-Yung Chang

Multim. Tools Appl., 2018

Subtype dependent biomarker identification and tumor classification from gene expression profiles.

Aiguo Wang, Ning An, Guilin Chen, Li Liu, Gil Alterovitz

Knowl. Based Syst., 2018

Streaming feature-based causal structure learning algorithm with symmetrical uncertainty.

Jing Yang, Xiaoxue Guo, Ning An, Aiguo Wang, Kui Yu

Inf. Sci., 2018

2017

Wrapper-based gene selection with Markov blanket.

Aiguo Wang, Ning An, Jing Yang, Guilin Chen, Lian Li, Gil Alterovitz

Comput. Biol. Medicine, 2017

2016

A global learning with local preservation method for microarray data imputation.

Ye Chen, Aiguo Wang, Huitong Ding, Xia Que, Yabo Li, Ning An, Lili Jiang

Comput. Biol. Medicine, 2016

Human Activity Recognition in a Smart Home Environment with Stacked Denoising Autoencoders.

Aiguo Wang, Guilin Chen, Cuijuan Shang, Miaofei Zhang, Li Liu

Proceedings of the Web-Age Information Management, 2016

2015

Accelerating wrapper-based feature selection with K-nearest-neighbor.

Aiguo Wang, Ning An, Guilin Chen, Lian Li, Gil Alterovitz

Knowl. Based Syst., 2015

Predicting hypertension without measurement: A non-invasive, questionnaire-based approach.

Aiguo Wang, Ning An, Guilin Chen, Lian Li, Gil Alterovitz

Expert Syst. Appl., 2015

Improving PLS-RFE based gene selection for microarray data classification.

Aiguo Wang, Ning An, Guilin Chen, Lian Li, Gil Alterovitz

Comput. Biol. Medicine, 2015

2014

A Logistic Regression and Artificial Neural Network-Based Approach for Chronic Disease Prediction: A Case Study of Hypertension.

Aiguo Wang, Ning An, Yu Xia, Lian Li, Guilin Chen

Proceedings of the 2014 IEEE International Conference on Internet of Things, 2014

Incremental wrapper based gene selection with Markov blanket.

Aiguo Wang, Ning An, Guilin Chen, Jing Yang, Lian Li, Gil Alterovitz

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Accelerating incremental wrapper based gene selection with K-Nearest-Neighbor.

Aiguo Wang, Ning An, Guilin Chen, Lian Li, Gil Alterovitz

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013

Causal discovery based on healthcare information.

Jing Yang, Ning An, Gil Alterovitz, Lian Li, Aiguo Wang

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011

A partial correlation-based Bayesian network structure learning algorithm under linear SEM.

Jing Yang, Lian Li, Aiguo Wang

Knowl. Based Syst., 2011