| Machine learning-based real-time monitoring system for smart connected worker to improve energy efficiency S Bian, C Li, Y Fu, Y Ren, T Wu, GP Li, B Li Journal of Manufacturing Systems 61, 66-76, 2021 | 32 | 2021 |
| Affordable artificial intelligence-assisted machine supervision system for the small and medium-sized manufacturers C Li, S Bian, T Wu, RP Donovan, B Li Sensors 22 (16), 6246, 2022 | 11 | 2022 |
| Smart connected worker edge platform for smart manufacturing: Part 2—Implementation and on‐site deployment case study RP Donovan, YG Kim, A Manzo, Y Ren, S Bian, T Wu, S Purawat, ... Journal of Advanced Manufacturing and Processing 4 (4), e10130, 2022 | 8 | 2022 |
| Real-time object detection for smart connected worker in 3d printing S Bian, T Lin, C Li, Y Fu, M Jiang, T Wu, X Hang, B Li International Conference on Computational Science, 554-567, 2021 | 7 | 2021 |
| Smart connected worker edge platform for smart manufacturing: Part 1—Architecture and platform design YG Kim, RP Donovan, Y Ren, S Bian, T Wu, S Purawat, AJ Manzo, ... Journal of Advanced Manufacturing and Processing 4 (4), e10129, 2022 | 6 | 2022 |
| Predictive model for real-time energy disaggregation using long short-term memory B Li, T Wu, S Bian, JW Sutherland CIRP Annals 72 (1), 25-28, 2023 | 3 | 2023 |
| Enhancing metal additive manufacturing training with the advanced vision language model: A pathway to immersive augmented reality training for non-experts H Fan, H Zhang, C Ma, T Wu, JYH Fuh, B Li Journal of Manufacturing Systems 75, 257-269, 2024 | 2 | 2024 |
