| Issue Date | Title | Author(s) |
 | 2021 | An attention-based deep learning approach for sleep stage classification with single-channel EEG | Eldele, Emadeldeen; Chen, Zhenghua; Liu, Chengyu; Wu, Min; Kwoh, Chee Keong; Li, Xiaoli; Guan, Cuntai |
| | 2020 | Bayesian filtering for building occupancy estimation from carbon dioxide concentration | Jiang, Chaoyang; Chen, Zhenghua; Su, Rong; Masood, Mustafa Khalid; Soh, Yeng Chai |
| 2018 | Building occupancy estimation and detection : a review | Chen, Zhenghua; Jiang, Chaoyang; Xie, Lihua |
| 2020 | Contrastive adversarial domain adaptation for machine remaining useful life prediction | Mohamed Ragab; Chen, Zhenghua; Wu, Min; Foo, Chuan Sheng; Kwoh, Chee Keong; Yan, Ruqiang; Li, Xiaoli |
| | 2018 | Deep learning and its applications to machine health monitoring | Zhao, Rui; Yan, Ruqiang; Chen, Zhenghua; Mao, Kezhi; Wang, Peng; Gao, Robert X. |
| 2018 | Distilling the knowledge from handcrafted features for human activity recognition | Chen, Zhenghua; Zhang, Le; Cao, Zhiguang; Guo, Jing |
| 2015 | Fusion of WiFi, smartphone sensors and landmarks using the Kalman filter for indoor localization | Chen, Zhenghua; Zou, Han; Jiang, Hao; Zhu, Qingchang; Soh, Yeng; Xie, Lihua |
| | 2019 | Group greedy method for sensor placement | Jiang, Chaoyang; Chen, Zhenghua; Su, Rong; Soh, Yeng Chai |
| | 2018 | A novel ensemble ELM for human activity recognition using smartphone sensors | Chen, Zhenghua; Jiang, Chaoyang; Xie, Lihua |
| 2017 | Occupant sensing in buildings : methods for occupant number, location and activity | Chen, Zhenghua |
| 2021 | Time-series representation learning via temporal and contextual contrasting | Eldele, Emadeldeen; Mohamed Ragab; Chen, Zhenghua; Wu, Min; Kwoh, Chee Keong; Li, Xiaoli; Guan, Cuntai |
| | 2020 | WIFI fingerprinting indoor localization using local feature-based deep LSTM | Chen, Zhenghua; Zou, Han; Yang, Jianfei; Jiang, Hao; Xie, Lihua |
