Aiguo Wang

Aiguo Wang

Ph.D. in Engineering

Publications

#Journal Papers

First/Corresponding Author

  1. Wang, Aiguo, “Residual Temporal Convolutional Network with Mixed Attention for Heart Sound Classification.” IEEE Sensors Journal, . [PDF]
  2. Wang, Aiguo, “Transfer Learning Enhanced Cross-domain Sitting Posture Recognition Using Pressure Sensors.”Journal of Electronic Engineering, . [PDF]
  3. Wang, Aiguo, Huancheng Liu, Chundi Zheng, Huihui Chen, Chih-Yung Chang. “Fusion of Kinematic and Physiological Sensors for Hand Gesture Recognition.” Multimedia Tools and Applications, . [PDF]
  4. Zhao, Liang, Jingyu Yan, Aiguo Wang*. “A Comparative Study on Real-time Sitting Posture Monitoring Systems Using Pressure Sensors.” Journal of Electronic Engineering 74, no. 6 (2023): 474-484. [PDF]
  5. Wang, Aiguo, Li Liu, Jiaoyun Yang, Lian Li. “Causality Field in Nonlinear Causal Effect Analysis.” Frontiers of Information Technology & Electronic Engineering 23, no. 8 (2022): 1277-1286. [PDF]
  6. Wang, Aiguo, Huancheng Liu, Jing Yang, Guilin Chen. “Ensemble Feature Selection for Stable Biomarker Identification and Cancer Classification from Microarray Expression Data.” Computers in Biology and Medicine 142 (2022): 105208. [PDF]
  7. Wang, Aiguo, Shenghui Zhao, Huan-Chao Keh, Guilin Chen, Diptendu Sinha Roy. “Towards a Clustering Guided Hierarchical Framework for Sensor-based Activity Recognition.” Sensors 21, no. 21 (2021): 6962. [PDF]
  8. Wang, Aiguo, Xianhong Wu, Liang Zhao, Haibao Chen, Shenghui Zhao. “Physical Activity Recognition from Accelerometer Data Using Multi-view Aggregation.” Journal of Applied Science and Engineering 24, no. 4 (2021): 611-620. [PDF] (EI)
  9. Wang, Aiguo, Jing Yang, Ning An. “Regularized Sparse Modelling for Microarray Missing Value Estimation.” IEEE Access 9 (2021): 16899-16913. [PDF]
  10. Wang, Aiguo, Shenghui Zhao, Chundi Zheng, Jing Yang, Guilin Chen, Chih-Yung Chang. “Activities of Daily Living Recognition with Binary Environment Sensors Using Deep Learning: A Comparative Study.” IEEE Sensors Journal 21, no. 4 (2021): 5423 - 5433. [PDF]
  11. Wang, Aiguo, Shenghui Zhao, Chundi Zheng, Huihui Chen, Li Liu, Guilin Chen. “HierHAR: Sensor-based Data-driven Hierarchical Human Activity Recognition.” IEEE Sensors Journal 21, no. 3 (2021): 3353 - 3365. [PDF]
  12. Wang, Aiguo, Shenghui Zhao, Jinjun Liu, Jing Yang, Li Liu, Guilin Chen. “Locality Adaptive Preserving Projections for Linear Dimensionality Reduction.” Expert Systems with Applications 151 (2020): 113352. [PDF]
  13. Zheng, Chundi, Huihui Chen, Aiguo Wang*. “Sparsity-aware Noise Subspace Fitting for DOA Estimation.” Sensors 20, no. 1 (2020): 81.
  14. Wang, Aiguo, Ye Chen, Ning An, Jing Yang, Lian Li, Lili Jiang. “Microarray Missing Value Imputation: A Regularized Local Learning Method.” IEEE/ACM Transactions on Computational Biology and Bioinformatics 16, no. 3 (2019): 980-993. [PDF]
  15. Wang, Aiguo, Guilin Chen, Xi Wu, Li Liu, Ning An, Chih-Yung Chang. “Towards Human Activity Recognition: A Hierarchical Feature Selection Framework.” Sensors 18, no. 11 (2018): 3629. [PDF]
  16. Wang, Aiguo, Ning An, Guilin Chen, Li Liu, Gil Alterovitz. “Subtype Dependent Biomarker Identification and Tumor Classification from Gene Expression Profiles.” Knowledge-Based Systems 146 (2018): 104-117. [PDF]
  17. Chen, Guilin, Aiguo Wang*, Shenghui Zhao, Li Liu, Chih-Yung Chang. “Latent Feature Learning for Activity Recognition Using Simple Sensors in Smart Homes.” Multimedia Tools and Applications 77, no. 12 (2018): 15201-15219. [PDF]
  18. Wang, Aiguo, Ning An, Jing Yang, Guilin Chen, Lian Li, Gil Alterovitz. “Wrapper-based Gene Selection with Markov Blanket.” Computers in Biology and Medicine 81 (2017): 11-23. [PDF]
  19. Chen, Ye, Aiguo Wang*, Huitong Ding, Xia Que, Yabo Li, Ning An, Lili Jiang. “A Global Learning with Local Preservation Method for Microarray Data Imputation.” Computers in Biology and Medicine 77 (2016): 76-89. [PDF]
  20. Wang, Aiguo, Guilin Chen, Jing Yang, Shenghui Zhao, Chih-Yung Chang. “A Comparative Study on Human Activity Recognition Using Inertial Sensors in a Smartphone.” IEEE Sensors Journal 16, no. 11 (2016): 4566-4578. [PDF]
  21. Wang, Aiguo, Ning An, Guilin Chen, Lian Li, Gil Alterovitz. “Accelerating Wrapper-based Feature Selection with K-nearest-neighbor.” Knowledge-Based Systems 83 (2015): 81-91. [PDF]
  22. Wang, Aiguo, Ning An, Guilin Chen, Lian Li, Gil Alterovitz. “Predicting Hypertension without Measurement: A Non-invasive, Questionnaire-based Approach.” Expert Systems with Applications 42, no. 21 (2015): 7601-7609. [PDF]
  23. Wang, Aiguo, Ning An, Guilin Chen, Lian Li, Gil Alterovitz. “Improving PLS–RFE based Gene Selection for Microarray Data Classification.” Computers in Biology and Medicine 62 (2015): 14-24. [PDF]
  24. Wang, Aiguo, Ning An, Guilin Chen, Lian Li. “Hybridizing mRMR and Harmony Search for Gene Selection and Classification of Microarray Data.” Journal of Computational Information Systems 11, no. 5 (2015): 1563-1570. (EI)
  25. Wang, Aiguo, Ning An, Xin Lu, Hongtu Chen, Changqun Li, Sue Levkoff. “A Classification Scheme for Analyzing Mobile Apps Used to Prevent and Manage Disease in Late Life.” JMIR mHealth and uHealth 2, no. 1 (2014): e6. [PDF]

#Conference Papers

  1. Wang, Aiguo, Qinghao Hu. “Deep learning models for cancer classification from microarry gene expression profiles.” In 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI), Taiyuan, China, May 26-28, 2023. [PDF]
  2. Wang, Aiguo, Jingyu Yan, Zhongyu Luo. “Evaluating stability of feature selectors: Adjusted measures considering feature correlations.” In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Changsha, China, December 6-8, 2022. [PDF]
  3. Wang, Aiguo, Yue Meng, Liang Zhao, Jinjun Liu, Guilin Chen. “Comparison of feature extraction techniques for ambient sensor-based in-home activity recognition.” In 2022 International Conference on Networking and Network Applications (NaNA), Urumqi, China, December 3-5, 2022. [PDF]
  4. Wang, Aiguo, Huancheng Liu, Jingyu Yan. “Hand gesture recognition using multi-sensor information fusion.” In The 3rd International Conference on Artificial Intelligence and Computer Engineering (ICAICE), Dalian, China, November 11-13, 2022. [PDF]
  5. Wang, Aiguo, Liang Zhao, Xianhong Wu. “iCare: An intelligent system for remote cardiac monitoring in smart healthcare.” In 2022 IEEE International Conference Consumer Electronics - Taiwan, Taipei, Taiwan, July 6-8, 2022. [PDF]
  6. Wang, Aiguo, Yue Meng, Jinjun Liu, Shenghui Zhao, Guilin Chen. “Multi-domain feature extraction for human activity recognition using wearable sensors.” In 2021 International Conference on Networking and Network Applications (NaNA), Lijiang City, China, October 29- November 1, 2021. [PDF]
  7. Wang, Aiguo, Shenghui Zhao, Guilin Chen. “Human activity recognition from accelerometer data: Axis-wise versus axes-resultant feature extraction.” In The Fifth International Conference on Computer Science and Application Engineering, Sanya, China, October 19-21, 2021. [PDF]
  8. Wang, Aiguo, Huancheng Liu, Huihui Chen, Chundi Zheng, Guilin Chen. “uHealth: Smart clothing enabled intelligent ubiquitous health monitoring system.” In 2021 IEEE International Conference Consumer Electronics - Taiwan, Penghu, Taiwan, September 15-17, 2021. [PDF]
  9. Wang, Aiguo, Huancheng Liu, Guilin Chen. “Chaotic harmony search based multi-objective feature selection of classification of gene expression profiles.” In 2021 IEEE the 9th International Conference on Bioinformatics and Computational Biology (ICBCB 2021), Taiyuan, China, May 25-27, 2021. [PDF] [Presentation]
  10. Wang, Aiguo, Huancheng Liu, Jinjun Liu, Huitong Ding, Jing Yang, Guilin Chen. “Stable and accurate feature selection from microarray data with ensembled fast correlation based filter.” In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2996-2998. IEEE, 2020. [PDF]
  11. Wang, Aiguo, Huihui Chen, Chundi Zheng, Liang Zhao, Jinjun Liu, Lulu Wang. “Evaluation of random forest for complex human activity recognition using wearable sensors.” In 2020 International Conference on Networking and Network Applications (NaNA), pp. 310-315. IEEE, 2020. [PDF] [Presentation]
  12. Wang, Aiguo, Guilin Chen, Cuijuan Shang, Miaofei Zhang, Li Liu. “Human activity recognition in a smart home environment with stacked denoising autoencoders.” In International conference on web-age information management, pp. 29-40. Springer, Cham, 2016. [PDF]
  13. Wang, Aiguo, Ning An, Yu Xia, Lian Li, Guilin Chen. “A logistic regression and artificial neural network-based approach for chronic disease prediction: A case study of hypertension.” In 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), pp. 45-52. IEEE, 2014. [PDF]

#Books/Chapters

  1. Aiguo Wang, etc., “物联网与数据挖掘”, 电子工业出版社, 2022. (in Chinese) Online
  2. Zhen Zhu, Huihui Chen, Aiguo Wang, etc., “Introduction to Intelligent Science and Technology”, China Machine Press, 2021. (in Chinese)
  3. Ning An, Jiaoyun Yang, Aiguo Wang, Huidong Ding, Lian Li, “Systems Bioinformatics: An Engineering Case-based Approach”, Higher Education Press, 2019. (Translated into Chinese) Online
  4. Aiguo Wang, Ning An, Xin Lu, Hongtu Chen, Changqun Li, Sue Levkoff, “Mobile Health Computing in Smart Eldercare: Analyzing Mobile Apps used to Prevent and Manage Disease in Late Life,” In Annual Global Report on Innovation in Active, Healthy and Smart Ageing Sector (2016), Chapter 1, 71-88, edited by Hui Ding & Jianbing Liu, Beijing Science & Technology Publishing Press, ISBN: 978-7-5304-8479-1/C·031.