Yanzhi Wang
Yanzhi Wang is currently an associate professor and faculty fellow at Dept. of
ECE at Northeastern University, Boston, MA. He received the B.S. degree from
Tsinghua University in 2009, and Ph.D. degree from University of Southern California
in 2014. His research interests focus on model compression and platform-specific
acceleration of deep learning applications. His work has been published broadly in
top conference and journal venues (e.g., DAC, ICCAD, ASPLOS, ISCA, MICRO, HPCA,
PLDI, ICS, PACT, ISSCC, AAAI, ICML, NeurIPS, CVPR, ICLR, IJCAI, ECCV, ICDM, ACM MM,
FPGA, LCTES, CCS, VLDB, PACT, ICDCS, RTAS, Infocom, C-ACM, JSSC, TComputer, TCAS-I,
TCAD, TCAS-I, JSAC, TNNLS, etc.), and has been cited above 18,000 times. He has
received six Best Paper and Top Paper Awards, and one Communications of the ACM
cover featured article. He has another 13 Best Paper Nominations and four Popular
Paper Awards. He has received the U.S. Army Young Investigator Program Award (YIP),
IEEE TC-SDM Early Career Award, APSIPA Distinguished Leader Award, Massachusetts
Acorn Innovation Award, Martin Essigmann Excellence in Teaching Award, Massachusetts
Acorn Innovation Award, Ming Hsieh Scholar Award, and other research awards from
Google, MathWorks, etc. He has received 26 federal grants from NSF, DARPA, IARPA,
ARO, ARFL/AFOSR, Dept. of Homeland Security, etc.. He has participated in a total of
$40M funds with personal share $8.5M. 14 of his academic descendants become tenure
track faculty at Univ. of Connecticut, Clemson University, Chongqing University,
University of Georgia, Villanova University University of Texas San Antonio, and
Cleveland State University.