Application of Mutual Information-Sample Entropy Based MED-ICEEMDAN De-Noising Scheme for Weak Fault Diagnosis of Hoist Bearing. - Fen Yang; Ziming Kou; Juan Wu; Tengyu Li (Entropy, 2018)

Application of ICEEMDAN Energy Entropy and AFSA-SVM for Fault Diagnosis of Hoist Sheave Bearing. - Ziming Kou; Fen Yang; Juan Wu; Tengyu Li (Entropy, 2020)

Product Sustainable Design: A Review From the Environmental, Economic, and Social Aspects. - Bin He 006; Fangfang Li; Xiaoyang Cao; Tengyu Li (J. Comput. Inf. Sci. Eng., 2020)

Application of Adaptive MOMEDA with Iterative Autocorrelation to Enhance Weak Features of Hoist Bearings. - Tengyu Li; Ziming Kou; Juan Wu; Fen Yang (Entropy, 2021)

Digital Twin-Driven Controller Tuning Method for Dynamics. - Bin He 006; Tengyu Li; Jing-Long Xiao (J. Comput. Inf. Sci. Eng., 2021)

Digital Twin-Driven Design for Product Control System. - Bin He 006; Tengyu Li; Jing-Long Xiao (Digital Twins for Digital Transformation, 2022)

A closed-loop digital twin modeling method integrated with carbon footprint analysis. - Bin He 006; Hangyu Mao; Tengyu Li; Jing-Long Xiao (Comput. Ind. Eng., 2023)

A Framework for Intelligent Virtual Reality Tutoring System Using Semantic Web Technology. - Victor Häfner; Tengyu Li; Felix Longge Michels; Polina Häfner; Haoran Yu; Jivka Ovtcharova (CSEDU (2), 2024)

Semantic Web-Enabled Intelligent VR Tutoring System for Engineering Education: A Theoretical Framework. - Victor Häfner; Tengyu Li; Felix Longge Michels; Polina Häfner; Haoran Yu; Jivka Ovtcharova (VR Workshops, 2024)