Chen Yubo is an associate professor at the Institute of Automation, Chinese Academy of Sciences, and a master's supervisor. His research interests include natural language processing, knowledge graphs, and large models. He has published over 80 high-quality academic papers in international conferences and journals such as TNNLS, ACL, IJCAI, AAAI, NeurIPS, EMNLP, COLING, CIKM, and ISWC (41 papers in CCF A and 45 papers in CCF B). His works have been cited over 6,500 times on Google Scholar. One of his papers was selected as an ESI highly cited paper, and two papers were included in the list of the most influential papers at ACL and EMNLP (selected by Paper Digest). He received the Best Poster Paper Award at the International Semantic Web Conference (ISWC) 2023 (a CCF B-class conference) and has won several Best Paper Awards (NLP-NABD 2016, CCKS 2017, CCL 2020, CCKS 2020, CCKS-IJCKG 2024). He was consecutively listed in the global top 2% of scientists by Stanford University in 2023 and 2024.