The research work has been cited numerous times in the literature of data compression and information theory, and has been used in IT industries. The following are some highlights:
2007 Manning Innovation Award: Award of Distinction (click to play)
Ontario Innovates: the
Premier's Catalyst Award for Innovato of the Year 2007 (click to play)
Research results on lossless data compression, lossy image and video coding, and content delivery over the Internet have been transferred directly into data processing and communications products which are now used every day by millions of people around the world. For instance, the universal lossless/lossy data compression algorithms invented in over 10 patents are the core technologies behind SlipStream's Internet acceleration products, which have become the defacto standard in web and email acceleration solutions, deployed by over 2000 Service Providers in more than 40 countries and servicing millions of subscribers worldwide every day.
The YK algorithms invented recently are now the state of the art of universal on-line lossless data compression and have been transferred into data processing and communications products.
To celebrate the 50th anniversary of the founding of the field of information theory in Claude E. Shannon's classic 1948 paper, the IEEE Information Theory Society published a special commemorative issue in 1998, which contains 25 invited papers providing tutorial perspectives on the development and state of the art of the major fields in information theory. Out of these 25 papers, there are 5 papers which make references to Prof. Yang's 19 different papers. For instance, in their paper "Lossy Source Coding", Berger and Gibson made references to Prof. Yang's 6 different papers. In particular, with respect to one work with John Kieffer, they made the following comments: "Recent developments are more attractive algorithmically. The paper by Yang and Kieffer is particularly intriguing; they show that a lossy source code exists that is universal not only with respect to the source statistics but also with respect to the distortion measure. Though Yang-Kieffer codes can be selected a priori in the absence of any knowledge about the fidelity criterion, the way one actually does the encoding does, of course, depend on which fidelity criterion is appropriate to the situation at hand."
Premier's Research Excellence Award in recognition of research contributions to information theory and multimedia data compression.
Recipient of Marsland Award for Research Excellence, Department of Electrical and Computer Engineering, University of Waterloo, 2000.
Recipient of 2002 Ontario Distinguished Researcher Award.
Research collaboration with Leitch was highlighted in Leitch's recent Press Releases.