Qi Zhang

Professor, Doctoral Supervisor, Fudan University, MOSS Core Member

The MOSS project, launched by the NLP Laboratory at Fudan University, has a core team member. The main research areas include natural language processing and information retrieval, focusing on natural language representation, information extraction, robustness, and interpretability analysis. They also hold positions as a director of the Chinese Information Processing Society, executive committee member of the Information Retrieval Special Committee of the Chinese Information Processing Society, executive committee member of the Chinese Young AI Workers Committee, and member of the Organizing Committee of SIGIR Beijing Chapter. They have served as program committee chairs, domain chairs, and tutorial chairs in important international and domestic conferences such as ACL, EMNLP, COLING, and the National Conference on Information Retrieval multiple times. They have published more than 150 papers in international academic journals and conferences and have been granted four US patents. They have been nominated for the Best Paper Award at WSDM 2014, recommended by the domain chair at COLING 2018, awarded the Outstanding Paper Award at NLPCC 2019, and awarded the Outstanding Paper Award at COLING 2022. They have also received awards such as the second prize of Shanghai Science and Technology Progress Award and the second prize of the Ministry of Education Science and Technology Progress Award. They are the author of “Large-scale Language Models: From Theory to Practice” and other works.