{"id":5203,"date":"2026-07-06T08:22:15","date_gmt":"2026-07-06T08:22:15","guid":{"rendered":"https:\/\/cognitionconferences.com\/bigdata\/?post_type=speaker&p=5203"},"modified":"2026-07-06T08:31:18","modified_gmt":"2026-07-06T08:31:18","slug":"lixing-zhu","status":"publish","type":"speaker","link":"https:\/\/cognitionconferences.com\/bigdata\/speaker\/lixing-zhu\/","title":{"rendered":"Lixing Zhu"},"content":{"rendered":"

Abstract:<\/strong>
\nThis talk presents a novel two-stage method for detecting structural changes in tensor sequences by leveraging Tucker decomposition to simultaneously capture low-rank and sparse structures. In the first stage, we reformulate the problem of detecting changes in the basis matrix sequence of the projections as one of identifying discrete rank changes in a sequence of subspace ranks. This is achieved via an eigen-decomposition-based estimation procedure. In the second stage, we detect changes in the core tensor sequence and introduce a “Completion Algorithm” to handle core tensors of varying sizes across segments, enhancing the robustness of detection. The proposed method achieves computational efficiency through precise change point categorization and reduced redundancy. Theoretical guarantees include fast convergence rates of the estimated basis matrices and the consistency of the estimated number and locations of change points.<\/p>\n","protected":false},"featured_media":5207,"template":"","meta":{"_acf_changed":false},"schedule":[5],"speaker-category":[6],"class_list":["post-5203","speaker","type-speaker","status-publish","has-post-thumbnail","hentry","schedule-day-1","speaker-category-speakers"],"acf":[],"yoast_head":"\nLixing Zhu | Beijing Normal University | China<\/title>\n<meta name=\"description\" content=\"Professor Lixing Zhu is currently a Professor in the Department of Statistics at Beijing Normal University's School of Arts and Sciences. He previously served as Chair Professor and Head of the Department of Mathematics at Hong Kong Baptist University. Over his distinguished career, Professor Zhu has received numerous prestigious honors, including the Second Prize of the National Natural Science Award of China (as the sole recipient), the Humboldt Research Award from Germany (as the sole recipient), the President's Special Citation from the International Chinese Statistical Association (ICSA), and the President's Award for Outstanding Performance in Scholarly Work from Hong Kong Baptist University. He is an elected Fellow of several leading international professional societies, including the American Association for the Advancement of Science (AAAS), the American Statistical Association (ASA), and the Institute of Mathematical Statistics (IMS). Professor Zhu's research focuses on high-dimensional data analysis, nonparametric and semiparametric statistics, and empirical processes and their applications. In addition to his research contributions, he serves as the Editor-in-Chief of the Statistics and Data Science book series published by Science Press, China.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cognitionconferences.com\/bigdata\/speaker\/lixing-zhu\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lixing Zhu | Beijing Normal University | China\" \/>\n<meta property=\"og:description\" content=\"Professor Lixing Zhu is currently a Professor in the Department of Statistics at Beijing Normal University's School of Arts and Sciences. He previously served as Chair Professor and Head of the Department of Mathematics at Hong Kong Baptist University. Over his distinguished career, Professor Zhu has received numerous prestigious honors, including the Second Prize of the National Natural Science Award of China (as the sole recipient), the Humboldt Research Award from Germany (as the sole recipient), the President's Special Citation from the International Chinese Statistical Association (ICSA), and the President's Award for Outstanding Performance in Scholarly Work from Hong Kong Baptist University. He is an elected Fellow of several leading international professional societies, including the American Association for the Advancement of Science (AAAS), the American Statistical Association (ASA), and the Institute of Mathematical Statistics (IMS). Professor Zhu's research focuses on high-dimensional data analysis, nonparametric and semiparametric statistics, and empirical processes and their applications. 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He previously served as Chair Professor and Head of the Department of Mathematics at Hong Kong Baptist University. Over his distinguished career, Professor Zhu has received numerous prestigious honors, including the Second Prize of the National Natural Science Award of China (as the sole recipient), the Humboldt Research Award from Germany (as the sole recipient), the President's Special Citation from the International Chinese Statistical Association (ICSA), and the President's Award for Outstanding Performance in Scholarly Work from Hong Kong Baptist University. He is an elected Fellow of several leading international professional societies, including the American Association for the Advancement of Science (AAAS), the American Statistical Association (ASA), and the Institute of Mathematical Statistics (IMS). Professor Zhu's research focuses on high-dimensional data analysis, nonparametric and semiparametric statistics, and empirical processes and their applications. 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