Long Shi is an Associate Professor, Master Supervisor, and Joint Ph.D. Supervisor at the School of Computer Science and Artificial Intelligence, Southwestern University of Finance and Economics. He holds a Ph.D. from Southwest Jiaotong University and was a visiting scholar at the University of York, UK. He is a member of the Chinese Association of Automation (CAA) Collaborative Robotics Technical Committee, the China Computer Federation (CCF), and IEEE. His research focuses on trustworthy artificial intelligence and large models, with emphasis on explainable machine learning, federated learning, and multimodal intelligence. He has published over 40 papers in IEEE Transactions (e.g., TSP, TCSVT, TMM, TCSII) and leading conferences such as KDD and WWW. He has led a National Natural Science Foundation of China (Youth) project and a Sichuan Provincial Science and Technology project, and has participated in multiple national research programs. Dr. Shi serves as an Area Chair for IJCNN and a reviewer for several IEEE journals. He received the Outstanding Ph.D. Dissertation Award from Southwest Jiaotong University and the Outstanding Undergraduate Thesis Supervisor Award from Southwestern University of Finance and Economics.