About

Lei Bao is a highly experienced Staff Software Engineer at Samsung Electronics with over 7 years of relevant experience. He specializes in machine learning, computer vision, and information retrieval and has a strong background in data mining and software engineering. In his current role, Lei is responsible for developing high-performance distributed computing batch systems for CAD infrastructure at Samsung. Prior to joining Samsung, he worked as a Research Assistant at the Institute of Computing Technology, Chinese Academy of Sciences, where he conducted research on visual concept learning and concept learning from imbalanced large-scale datasets. He also managed a knowledge-graph construction project and led a news credibility analysis project in collaboration with Xinhua News Agency. Lei has also worked as a Visiting Research Scholar at Carnegie Mellon University, where he led the TRECVID 2011 Multimedia Event Detection and Semantic Indexing tasks sponsored by NIST. He was responsible for creating the pipeline for feature extraction, classifier training, and fusion. He also led the TRECVID 2010 Known-item Search Task sponsored by NIST, where he proposed a bipartite graph propagation model for explicit and implicit concept-based video retrieval. His work was published in ACM MM 2010 and was honorably invited to present at TRECVID workshops in 2010 and 2011. Lei holds a Ph.D. in machine learning, computer vision, and information retrieval from the University of Chinese Academy of Sciences, a Master's degree in data mining and information retrieval from Beijing Normal University, and a Bachelor's degree in Electrical and Electronics Engineering from Beijing Normal University. In addition to his academic qualifications, Lei has a strong tech stack that includes software engineering, senior software engineering, research scientist, SVM, mobile, infra, and search. He is a highly skilled and experienced professional with a proven track record of success in his field.