2025
Xu, Z., Martelaro, N., & McComb, C. (2025). “Ceci N'est Pas un Drone: Investigating the Impact of Design Representation on Design Decision Making When Using GenAI.” Preprint, Arxiv.
Shockley, R., Herchenroether, K., Xu, Z., Martelaro, N., & McComb, C. (2025). “The Impact of Design Representation on Equal Contribution In Engineering Design Teams.” Proceedings of the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE) 2025, Anaheim.
Xu, Z., Martelaro, N., & McComb, C. (2025). “Mind over modality? The impact of design representation on shared understanding in collaborative student engineering design.” Design Science, 11, e19.
Chen, J., Xu, W., Xu, Z., Grande Gutiérrez, N., Narra, S. P., & McComb, C. (2025). “Enforcing the principle of locality for physical simulations with neural operators.” Journal of Computational Physics, 538, 114131.
2024
Xu, Z., Liechty, J., Benthall, S., Skar-Gislinge, N., & McComb, C. (2024). “GARCH-Informed Neural Networks for Volatility Prediction in Financial Markets.” 5th ACM International Conference on AI in Finance (ICAIF’24), Brooklyn.
Xu, Z., Hong, C. S., Soria Zurita, N. F., Gyory, J. T., Stump, G., Nolte, H., Cagan, J., & McComb, C. (2024). “Adaptation Through Communication: Assessing Human–Artificial Intelligence Partnership for the Design of Complex Engineering Systems.” Journal of Mechanical Design, 146(081401).
2023
Xu, Z., Hong, C., Soria Zurita, N. F., Gyory, J. T., Stump, G., Nolte, H., Cagan, J., & McComb, C. (2023). “Adaptation and Challenges in Human-AI Partnership for the Design of Complex Engineering Systems.” Proceedings of the ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE) 2023, Boston.
2022
Li, Y., Yang, M., Hua, J., Xu, Z., Wang, J., & Fang, X. (2022). “A Channel Attention-Based Method for Micro-Motor Armature Surface Defect Detection.” IEEE Sensors Journal, 22(9), 8672–8684.
2021
Wang, Y., Yang, M., Zhang, Y., Xu, Z., Huang, J., & Fang, X. (2021). “A Bearing Fault Diagnosis Model Based on Deformable Atrous Convolution and Squeeze-and-Excitation Aggregation.” IEEE Transactions on Instrumentation and Measurement, 70, 1–10.
Wang, Y., Yang, M., Li, Y., Xu, Z., Wang, J., & Fang, X. (2021). “A Multi-Input and Multi-Task Convolutional Neural Network for Fault Diagnosis Based on Bearing Vibration Signal.” IEEE Sensors Journal, 21(9), 10946–10956.