Rui Zhang is an Assistant Professor in the Computer Science and Engineering Department of Penn State University and a co-director of the PSU NLP Lab. He serves as an Area Chair at NAACL 2021, EMNLP 2021, and NLPCC 2021. He has been working on contrastive learning for few-shot named entity recognition and logic-consistency text generation.
Yangfeng Ji is the William Wulf Assistant Professor in the Department of Computer Science at the University of Virginia, where he leads the Natural Language Processing group. His research interests include building machine learning models for text understanding and generation. His work on entity-driven story generation won an Outstanding Paper Award at NAACL 2018. He is a co-author of an EMNLP 2020 tutorial on The Amazing World of Neural Language Generation.
Yue Zhang is an Associate Professor at Westlake University. His research interests include NLP and its underlying machine learning algorithms and downstream applications. He is the PC co-chair for CCL (2020) and EMNLP (2022), and the area chairs of ACL (2017/18/19/20/21), COLING (2014/18), NAACL (2015/19/21), EMNLP (2015/17/19/20), EACL (2021) and IJCAI (2021). He won the best paper awards of IALP (2017), COLING (2018) and best paper honorable mention of SemEval (2020). He served as one tutorial chair for ACL 2020 and is the author of EMNLP 2018 tutorial on Joint models for NLP.
Rebecca J. Passonneau is a Professor in the Computer Science and Engineering Department of Penn State University and a co-director of the PSU NLP Lab. Her area of research is natural language processing, with a focus on semantics and pragmatics. Her work is reported in over 130 journal and refereed conference publications. She won a Best Paper Runner Up at NAACL 2010. She is a tutorial co-chair for NAACL 2018.