Internet of Things Data Collection Using Unmanned Aerial Vehicles in Infrastructure Free Environments. - Hengshuo Liang; Weichao Gao; James H. Nguyen; Mont F. Orpilla; Wei Yu 002 (IEEE Access, 2020)

Performance Assessment of Deep Neural Network on Activity Recognition in WiFi Sensing. - Jianchao Song; Cheng Qian 007; Xing Liu 013; Hengshuo Liang; Chao Lu 002; Wei Yu 002 (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2022)

Named Data Networking (NDN) for Data Collection of Digital Twins-based IoT Systems. - Hengshuo Liang; Cheng Qian 007; Chao Lu 002; Lauren Burgess; John Mulo; Wei Yu 002 (SERA, 2023)

Towards an Adversarial Machine Learning Framework in Cyber-Physical Systems. - John Mulo; Pu Tian; Adamu Hussaini; Hengshuo Liang; Wei Yu 002 (SERA, 2023)

Digital Twin based Internet of Vehicles. - Cheng Qian 007; Mian Qian; Kun Hua; Hengshuo Liang; Guobin Xu; Wei Yu 002 (ICCCN, 2024)

Assessing deep learning performance in power demand forecasting for smart grid. - Hengshuo Liang; Cheng Qian 007; Wei Yu 002; David W. Griffith; Nada Golmie (Int. J. Sens. Networks, 2024)

Deep learning-based power quality disturbance detection and classification in smart grid. - Hengshuo Liang; Wei Yu 002; Cheng Qian 007; Yifan Guo 001; David W. Griffith; Nada Golmie (Int. J. Sens. Networks, 2024)

Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things. - John Mulo; Hengshuo Liang; Mian Qian; Milon Biswas; Bharat S. Rawal; Yifan Guo 001; Wei Yu 002 (Future Internet, 2025)