Wade Shen

PNW · swade-remove- AT IEEE

As of late 2019, you can find me at Actuate.

From 2014-2019, I was a program manager at DARPA in the Information Innovation Office (I2O) where I started a number of data science, machine learning and hardware for data analytics programs. Prior to that I was an associate group leader at MIT’s Lincoln Laboratory where I was responsible for speech recognition and machine translation research.

I work on applications of machine learning and statistics for real-world problems.

Select publications

Paper - Moses: Open source toolkit for statistical machine translation

Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, "Moses: Open source toolkit for statistical machine translation," Proceedings of the 45th annual meeting of the association for computational linguistics, 2007

January 2007

Paper - Query-by-example spoken term detection using phonetic posteriorgram templates

Timothy J Hazen, Wade Shen, Christopher White, "Query-by-example spoken term detection using phonetic posteriorgram templates," 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

January 2009

Paper - Forensic speaker recognition

Joseph P Campbell, Wade Shen, William M Campbell, Reva Schwartz, J-F Bonastre, Driss Matrouf, "Forensic speaker recognition," IEEE Signal Processing Magazine, 2009

January 2009

Paper - Speaker verification using support vector machines and high-level features

William M Campbell, Joseph P Campbell, Terry P Gleason, Douglas A Reynolds, Wade Shen, "Speaker verification using support vector machines and high-level features," IEEE Transactions on Audio, Speech, and Language Processing, 2007

January 2007

Paper - A comparison of query-by-example methods for spoken term detection

Wade Shen, Christopher M White, Timothy J Hazen, "A comparison of query-by-example methods for spoken term detection," Interspeech Brighton, 2009

January 2009

Paper - Characterizing phonetic transformations and acoustic differences across english dialects

Nancy F Chen, Sharon W Tam, Wade Shen, Joseph P Campbell, "Characterizing phonetic transformations and acoustic differences across english dialects," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2013

January 2013

Paper - A language-independent approach to automatic text difficulty assessment for second-language learners

Wade Shen, Jennifer Williams, Tamas Marius, Elizabeth Salesky, "A language-independent approach to automatic text difficulty assessment for second-language learners," Proceedings of the Second Workshop on Predicting and Improving Text Readability for Target Reader Populations, 2013

January 2013

Paper - End-to-end training of differentiable pipelines across machine learning frameworks

Mitar Milutinovic, Atılım Güneş Baydin, Robert Zinkov, William Harvey, Dawn Song, Frank Wood, Wade Shen, "End-to-end training of differentiable pipelines across machine learning frameworks," , 2017

January 2017

Paper - Efficient speech translation through confusion network decoding

Nicola Bertoldi, Richard Zens, Marcello Federico, Wade Shen, "Efficient speech translation through confusion network decoding," IEEE Transactions on Audio, Speech, and Language Processing, 2008

January 2008

Paper - Experiments with lattice-based PPRLM language identification

Wade Shen, William Campbell, Terry Gleason, Doug Reynolds, Elliot Singer, "Experiments with lattice-based PPRLM language identification," 2006 IEEE Odyssey-The Speaker and Language Recognition Workshop, 2006

January 2006

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See all Select publications for more examples!

Experience

Co-founder and Chief program officer

Actuate

DataSafes, Scalable Prevention and more soon...

Fall 2019 - Present

Program manager

DARPA

Directed 11 programs across in two offices (I2O and MTO): SDH, HIVE, LwLL, ASED, D3M, QCR, Memex, XDATA, DCAPS, Engage, and N7. Started five research programs: Quantitative Crisis Responses (QCR), Data-driven Discovery of Models (D3M), Software-defined Hardware (SDH), Active Social Engineering Defense (ASED), and Learning with Less Labels (LwLL).

Winter 2014 - Fall 2019

Associate group leader // Member of technical staff

MIT/Lincoln Laboratory

Research lead for MIT/LL's low-resource statistical machine translation and speech recognition systems. Developer of pronunciation training and automated text difficulty leveling tools for foreign language learning.

Spring 2003 - Fall 2019

Chief technology officer

Vocentric Corp.

Developer of mobile speaker ID and noise cancellation systems (software and SW/HW custom solutions)

1999 - 2001

Senior speech engineer

Conversational Computing Corp.

Lead developer of ultra-low power mobile speech recognition system and software lead of ASR ASIC. Design lead for distributed speech recognition system

1997 - 1999

Education

University of Maryland, College Park

MS, Computer Science
1996

University of California, Berkeley

BS, Electrical Engineering and Computer Science
1994
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