Aiguo Wang

Aiguo Wang

Ph.D. in Engineering

#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]

Co-author

  1. Yang, Jing, Liufeng Jiang, Anbo Shen, Aiguo Wang. “Online Streaming Features Causal Discovery Algorithm based on Partial Rank Correlation.” IEEE Transactions on Artificial Intelligence 4, no. 1 (2023): 197-208.
  2. Yang, Jing, Liufeng Jiang, Kai Xie, Qiqi Chen, Aiguo Wang. “Causal Structure Learning Algorithm based on Partial Rank Correlation under Additive Noise Model.” Applied Artificial Intelligence 36, no. 1 (2022): e2023390.
  3. Yang, Jing, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang. “Additive Noise Model Structure Learning based on Rank Correlation.” Information Sciences 571 (2021): 499-526.
  4. Zheng, Chundi, Huihui Chen, Aiguo Wang. “High Angular Resolution for 77GHz FMCW Radar via a Sparse Weighted Quadratic Minimization.” IEEE Sensors Journal 21, no. 9 (2021): 10637-10646.
  5. Chen, Huihui, Bin Guo, Zhiwen Yu, Aiguo Wang, Chundi Zheng. “The Framework of Increasing Drivers’ Income on the Online Taxi Platforms.” IEEE Transactions on Network Science and Engineering 7, no. 4 (2020): 2182-2191.
  6. Liu, Lin, Shenghui Zhao, Haibao Chen, Aiguo Wang. “A New Machine Learning Method for Identifying Alzheimer’s Disease.” Simulation Modelling Practice and Theory 99 (2020): 102023.
  7. Yang, Jing, Xiaoxue Guo, Ning An, Aiguo Wang, Kui Yu. “Streaming Feature-based Causal Structure Learning Algorithm with Symmetrical Uncertainty.” Information Sciences 467 (2018): 708-724.
  8. Yang, Jing, Ning An, Kunxia Wang, Aiguo Wang, Lian Li. “An Efficient Causal Structure Learning Algorithm based on Recursive Simultaneous Equations Model.” Chinese Journal of Electronics 22, no. 3 (2013).
  9. Yang, Jing, Lian Li, Aiguo Wang. “A Partial Correlation-based Bayesian Network Structure Learning Algorithm under Linear SEM.” Knowledge-Based Systems 24, no. 7 (2011): 963-976.