Northwestern Polytechnical University
Li Deyu, B.Eng. Candidate in Communication Engineering and M.Sc. Student at Northwestern Polytechnical University. He was currently completing his undergraduate studies at Minzu University of China, where he had achieved a GPA of 3.92/5.0 and ranked 6th out of 62 students in his major. His academic training includes advanced coursework in Mathematics, Circuit Analysis, and Information Theory and Coding, along with demonstrated English proficiency through CET-6.
His research interests focus on artificial intelligence, large-scale foundation models, motor condition monitoring, and fault diagnosis. He has participated in multiple research projects, including Tibetan–Chinese speech translation using non-autoregressive speech models, large model fine-tuning for industrial fault diagnosis, and intelligent IoT-based elderly care platforms. He has also completed an internship at the Institute of Software, Chinese Academy of Sciences, where he worked on large model security and adversarial robustness.
D31.4 - Data-Efficient Motor Condition Monitoring with Time Series Foundation Models
Thursday, March 26, 2026
12:00 PM - 1:45 PM CT