Aiguo Wang

Aiguo Wang

Ph.D. in Engineering

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Pages

About me

Posts

Future Blog Post

less than 1 minute read

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Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

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Blog Post number 2

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Blog Post number 1

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

#Principle Investigator

  1. Research on key technology of daily behavior analysis for the elderly living alone, the Featured Innovation Project of the Department of Education of Guangdong Province, 2021.9-2023.8 (No. 2021KTSCX117), 60K[PDF]
  2. Research on complex human activity recognition based on multi-level feature analysis, National Natural Science Foundation of China (NSFC), 2020.1-2022.12 (No. 61902068), 220K[PDF]
  3. Research on smart sensing enabled healthcare platform for aging in place, Foshan S&T Innovation Plan, 2020.1-2021.12 (No. 1920001001001)
  4. Research on human activity recognion based on the fusion of multi-channel sensor data, Foshan Post Doc Startup Foundation, 2019.10-, (No. BKS203023), 300K
  5. Research on key problems for the feature analysis of microarray gene expression profiles, Guangdong Basic and Applied Basic Research Foundation, 2019.10-2022.9 (No. 2020A1515011499), 100K
  6. Research on human activity recognion based on the fusion of multi-channel sensor data, Foshan University Startup Foundation, 2019.03-2022.12, 264.7K (each year: 9.6+13.6+(13.27-10))
  7. Research on microarray missing value estimation and gene selection methods, Fundamental Research Funds for the Central University, 2016.10-2017.12 (No. JZ2016HGBH1053), 50K
  8. Research on feature analysis and tumor classification for microarray data, China Postdoctoral Science Foundation, 2016.6-2018.5 (No. 2016M592046), 50K[PDF]

#Project Participation

  1. 基于Zigbee的室内定位系统研发。实验室开放创新基金，学生：高世杰
  2. 基于压力坐垫的人体坐姿检测系统。实验室开放创新基金，学生：何俊杰
  3. 基于压力传感器的坐姿监测系统。学术基金重点项目，学生：颜靖禹
  4. 面向智能健康养老的日常行为分析方法研究。学术基金一般项目，学生：刘焕成

publications

#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.

#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]

#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]

talks

AN EXAMPLE

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This is a description of your tutorial, note the different field in type. This is a markdown files that can be all markdown-ified like any other post. Yay markdown!

Those Years: My Graduate Life

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Note: 2015 CCF Hefei Navigation for Graduate Freshman, University of Science and Technology of China, Hefei, China.

因势而动，顺势而为

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The Opportunity of Studying and Living in the Guangdong-Hong Kong-Macao Greater Bay Area

teaching

Undergraduate_courses

  • 2021 Spring

    Intelligent Information Processing, 45
    Data Warehouse and Data Mining, 70

  • 2020 Spring

    Data Warehouse and Data Mining, 36

  • 2019 Autumn

    Introduction to Cognitive Science, 30