Raymond W. Yeung

Raymond W. Yeung (; born June, 1962) is an information theorist and the Choh-Ming Li Professor of Information Engineering at The Chinese University of Hong Kong, where he serves as Co-Director of Institute of Network Coding.

Biography Yeung was born in Hong Kong. He attended Wah Yan College, Kowloon for secondary school education. Then he went to the United States to study at Cornell University, where he obtained his BS, MEng, and PhD degrees in Electrical Engineering in 1984, 1985, and 1988, respectively.

In 1988, he joined the Performance Analysis Department at AT&T Bell Laboratories, Holmdel. Since 1991, he has been with The Chinese University of Hong Kong, where he is currently Choh-Ming Li Professor of Information Engineering and Co-Director of Institute of Network Coding.

Yeung’s research interests are in information theory, network coding, and probability theory. His pioneering contributions to network coding laid the groundwork for the field. He is also known for his works on information inequalities. Together with Zhen Zhang, he discovered the first unconstrained non-Shannon-type inequality, often referred to as the Zhang-Yeung inequality, that revealed the incompleteness of the previously known constraints on the entropy function. He also pioneered the machine-proving of entropy inequalities.

Yeung has published two textbooks on information theory and network coding (2002, 2008) that have been adopted by over 100 universities. His MOOC on information theory, first offered on Coursera in 2014, has reached over 60,000 students to date.

Awards 2001: Croucher Senior Research Fellowship 2003: IEEE Fellow for contributions to network coding theory. 2005: IEEE Information Theory Society Paper Award 2007: Friedrich Wilhelm Bessel Research Award 2016: IEEE Eric E. Sumner Award 2018: ACM SIGMOBILE Test-of-Time Paper Award 2021: IEEE Richard W. Hamming Medal 2022: Claude E. Shannon Award 2022: National Academy of Inventors 2022: Asian Scientist 100, Asian Scientist