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Weijie Su is an Associate Professor at X University focusing on Machine Learning and its applications. He has a PhD from Stanford University and has published extensively, collaborating with peers on various topics within the field. Su’s recent research explores deep learning and optimization methods, particularly the development of new algorithms with unique theoretical foundations. His works include significant contributions to understanding the dynamics of large language models and their statistical underpinnings, alongside empirical studies of deep learning systems. Su actively engages in mentoring students and contributing to the academic community through workshops and seminars.