Jie Xiong, Ph.D.

Dr. Jie Xiong is an algorithm expert specializing in natural language processing, recommendation systems, and large language model pretraining. He currently teaches at Southwest University of Finance and Economics, where he offers undergraduate courses in Data Mining and Introduction to Artificial Intelligence, graduate courses in Deep Learning and Natural Language Processing, and a doctoral course on Frontiers of Multimodal Large Models. He earned a Ph.D. in Computer Applied Technology from Renmin University of China. His academic record includes multiple scholarly publications and patents in natural language processing and recommendation systems, and he serves as a reviewer for leading journals and conferences, including IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Information Processing & Management (IPM), ACL, and ECML-PKDD. In addition to his academic experience, Dr. Xiong has led artificial intelligence research and development for leading technology companies, including Qihoo 360, Zhihu, and Qunar, focusing on semantic representation, information extraction, recommendation systems, ranking algorithms, user-interest modeling, and large-scale pretraining.