Cheng Xiang Zhai
ChengXiang Zhai is a computer scientist. He is a Donald Biggar Willett Professor in Engineering in the Department of Computer Science at the University of Illinois at Urbana-Champaign.
Biography
Zhai received the BS, MS, and PhD in Computer Science from Nanjing University. He spent 1990 to 1993 working at Nanjing University's State Key Laboratory for Novel Software Technology. In 1993, he left for America to pursue a second PhD, this time at Carnegie Mellon University with David A. Evans. Evans then left to spend more time with the company ClariTech. Zhai obtained from CMU a MS in computational linguistics and then started working with John Lafferty. He finally received from CMU a PhD in Language and Information Technologies in 2002.Since then, he has been an Assistant Professor, Associate Professor, Professor, and Donald Biggar Willett Professor at the UIUC Department of Computer Science. He also holds joint appointments with the Carl R. Woese Institute for Genomic Biology, Department of Statistics, and School of Information Sciences at UIUC.
Awards
- ACM SIGIR Gerard Salton Award, 2021, "for significant and sustained contributions to information retrieval and data science. His work has defined many of the theoretical foundations of the language modeling approach, yielding major insights into areas such as smoothing methods, relevance feedback, topic diversification, and text representations that incorporate positional information. He and his collaborators have also pioneered the axiomatic approach to information retrieval, which continues to provide inspiration for retrieval model and evaluation research."
- ACM SIGIR Academy inductee, 2021
- ACM Fellow, 2017, "for contributions to information retrieval and text data mining."
- ACM SIGIR Test of Time Award, 2016, for paper A study of smoothing methods for language models applied to Ad Hoc information retrieval
- ACM SIGIR Test of Time Award, 2016, for paper Document language models, query models, and risk minimization for information retrieval
- ACM SIGIR Test of Time Award, 2014, for paper Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
- ACM Distinguished Member, 2009
- Presidential Early Career Award for Scientists and Engineers, 2004, "for his work on user-centered, adaptive intelligent information access. His techniques expect to improve search-engine performance, support better information organization and enable understanding of large volumes of information. Zhai's work in information retrieval is expected to enhance curricula and provide new educational tools for the growing information technology workforce."
- ACM SIGIR Best Paper Award, 2004, for paper ''A formal study of information retrieval heuristics''