Publications (Google Scholar Profile)

Book Chapter

  1. Deep Learning for Building Occupancy Estimation Using Environmental Sensors
    Zhenghua Chen, Chaoyang Jiang, Mustafa K. Masood, Yeng Chai Soh, Min Wu, Xiaoli Li,
    in book “Deep Learning: Algorithms and Applications”, Springer, Cham, 2020.

Thesis

Ph.D Thesis:Indoor physical field estimation from sparse sensor observations
supervised by Prof. SOH Yeng Chai and Prof. LI Hua.

M. Eng Thesis:Optimal filtering of linear systems with state constraints (in Chinese)
supervised by Prof. ZHANG Yongan

Journal Publications

  1. Bayesian filtering for building occupancy estimation from carbon dioxide concentration
    Chaoyang Jiang, Zhenghua Chen, Rong Su, Mustafa K. Masood, Yeng Chai Soh
    Energy and Buildings, vol. 206, 109566, 2020.

  2. Smartphone Sensor Based Human Activity Recognition Using Feature Fusion and Maximum Full A Posteriori
    Zhenghua Chen, Chaoyang Jiang* , Shili Xiang, Jie Ding, Min Wu, Xiaoli Li
    IEEE Transactions on Insturmentation and Measurement, 2019.(* Corresponding Author)

  3. Light Sensor Based Occupancy Estimation via Bayes Filter with Neural Networks
    Zhenghua Chen, Yanbing Yang, Chaoyang Jiang, Jie Hao and Le Zhang
    IEEE Transactions on Industrial Electronics, 2019.

  4. Group Greedy Method for Sensor Placement
    Chaoyang Jiang, Zhenghua Chen, Rong Su, Yeng Chai Soh
    IEEE Transactions on Signal Processing, vol. 67, no.9, pp.2249-2262, 2019.

  5. An internet of things upgrade for smart and scalable heating, ventilation and air-conditioning control in commercial buildings
    Ethan Png, Seshadhri Srinivasan, Korkut Bekiroglu, Chaoyang Jiang, Rong Su, Kameshwar Poolla
    Applied Energy, vol. 239, pp. 408-424, 2019.

  6. WiFi CSI Based Passive Human Activity Recognition Using Attention Based BLSTM
    Zhenghua Chen, Le Zhang, Chaoyang Jiang, Zhiguang Cao, Wei Cui
    IEEE Transactions on Mobile Computing, vol. 18, no. 11, pp. 2714-2724, 2019.

  7. A Novel Ensemble ELM for Human Activity Recognition Using Smartphone Sensors
    Zhenghua Chen, Chaoyang Jiang* , Lihua Xie
    IEEE Transactions on Industrial Informatics, vol. 15, no. 5, pp. 2691 - 2699, 2019. (* Corresponding Author)

  8. Building occupancy modeling using generative adversarial network
    Zhenghua Chen, Chaoyang Jiang*
    Energy and Buildings, vol. 174, pp. 372-379, 2018. (* Corresponding Author)

  9. Building Occupancy Estimation and Detection: A Review
    Zhenghua Chen, Chaoyang Jiang, Lihua Xie
    Energy and Buildings, vol. 169, pp. 260-270, 2018.

  10. A novel feature selection framework with Hybrid Feature-Scaled Extreme Learning Machine (HFS-ELM) for indoor occupancy estimation
    Mustafa K. Masood, Chaoyang Jiang, Yeng Chai Soh
    Energy and Buildings, vol. 158, pp. 1139-1151, 2018.

  11. Occupancy estimation from environmental parameters using wrapper and hybrid feature selection
    Mustafa K. Masood, Yeng Chai Soh, Chaoyang Jiang
    Applied Soft Computing, vol. 60, pp. 482-494, 2017

  12. Two-stage indoor physical field reconstruction from sparse sensor observations
    Chaoyang Jiang, Yeng Chai Soh, Hua Li
    Energy and Buildings, vol. 151, pp. 548-563, 2017.

  13. CFD results calibration from sparse sensor observations with a case study for indoor thermal map
    Chaoyang Jiang, Yeng Chai Soh, Hua Li, Mustafa K. Masood, Zhe Wei, Xiaoli Zhou, and Deqing Zhai
    Building and Environment, vol. 117, pp. 166-177, 2017.

  14. Development of a novel strategy of CFD-based model predictive control
    Xiaoli Zhou, Hua Li, Yeng Chai Soh, and Chaoyang Jiang
    Procedia Engineering, vol. 214, pp. 69-75, 2017.

  15. Indoor occupancy estimation from carbon dioxide concentration
    Chaoyang Jiang, Mustafa K. Masood, Yeng Chai Soh, and Hua Li
    Energy and Buildings, vol. 131, pp. 132-141, 2016.

  16. Sensor and CFD data fusion for airflow field estimation
    Chaoyang Jiang, Yeng Chai Soh, and Hua Li
    Applied Thermal Engineering, vol. 92, pp.149-161, 2016.

  17. Sensor placement by maximal projection on minimum eigenspace for linear inverse problems
    Chaoyang Jiang, Yeng Chai Soh, and Hua Li
    IEEE Transactions on Signal Processing, vol. 64, no. 21, pp.5595-5610, 2016.

  18. Some results on linear equality constrained state filtering
    Chaoyang Jiang and Yong-An Zhang
    International Journal of Control, vol. 86, no. 12, pp.2115-2130, 2013.

  19. Reduced-order Kalman filtering for state constrained linear systems
    Chaoyang Jiang, and Yong-An Zhang
    Journal of Systems Engineering and Electronics, vol. 24, no. 4, pp.674-682, 2013.

Conference Publications

  1. Building Occupancy Detection from Carbon-dioxide and Motion Sensors
    Chaoyang Jiang, Zhenghua Chen, Lih Chieh Png, Korkut Bekiroglu, Seshadhri Srinivasan, Rong Su
    International Conference on Control, Automation, Robotics and Vision(ICARCV), 2018.

  2. Improvement of Energy Efficiency of Markov ACMV Systems based on PTS Information of Occupants
    Deqing Zhai, Tanaya Chaudhuri, Yeng Chai Soh, Xianhua Ou, and Chaoyang Jiang
    International Joint Conference on Neural Network(IJCNN), 2018

  3. Physical field estimation from CFD database and sparse sensor observations
    Chaoyang Jiang, Yeng Chai Soh, and Hua Li
    IEEE International Conference on Automation Science and Engineering (CASE), 2015

  4. Compressed representation learning for fluid field reconstruction from sparse sensor observations
    Hongming Zhou, Yeng Chai Soh, Chaoyang Jiang, and Xiaoying Wu
    International Joint Conference on Neural Network(IJCNN), 2015

  5. ELM based fast cfd model with sensor adjustment
    Hongming Zhou, Yeng Chai Soh, Chaoyang Jiang, and Wenjian Cai
    Proceedings of ELM-2014, Vol. 2, pp. 357-367, 2014

  6. Some results on Kalman filtering with linear equality state constraints
    Chaoyang Jiang, and Yong-An Zhang
    IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1000-1005, 2011.