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Worked at STMicroelectronics, UTStarcom, and Wuxi (Binhu) National Sensing Information Center. Visited North Carolina State University. Served as Deputy Director of Institute of Internet of Things at Northeastern University (CN). Sole author of the books "Principles and practices of wireless communications for Internet of things" , "Principles and practices of machine learning", "Principles and practices of deep reinforcement learning", and "Transformer-based large models: Principles, practices, and applications". Recently proposed the Extractor and the improved Extractor for replacing the self-attention mechanism in the Transformer architecture, promising for significantly boosting the performance of large language models while reducing runtime. Recently interpreted the Transformer architecture comprehensively in plain words.
Supervisor of Master's Candidates
Name (English):Zhe Chen
Name (Pinyin):Chen Zhe
Contact Information:ml_iot@163.com
Degree:博士
Alma Mater:Tennessee Tech University
Teacher College:计算机科学与工程学院
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