Dr. Xin Wang is currently with the Civil Aviation College of Northwestern Polytechnical University. His research focuses on intelligent fault diagnosis of high-end mechanical equipment, including aerospace systems and high-speed railway vehicles, with particular interests in generative adversarial networks, transfer learning, incremental learning, and interpretable deep learning. To date, he has published 23 high-quality international journal papers, including 19 SCI-indexed articles. As first author, he has published six papers in leading journals, including Information Fusion, RESS, MSSP, AEI, EAAI, and MST. His publications include six ESI Hot Papers and nine ESI Highly Cited Papers. His work has accumulated 1328 citations, and he currently holds an H-index of 17. Dr. Wang has actively contributed to several major national research programs in China, including projects funded by the National Natural Science Foundation of China and National Major Science and Technology Programs. In recognition of his academic excellence, he was selected for the Doctoral Special Program of the Youth Science and Technology Talent Cultivation Project of the China Association for Science and Technology, awarded the Chinese National Scholarship twice, and honored by the Institute of Physics (IOP), UK, as both an Outstanding Reviewer and a Trusted Reviewer.