Jeffrey Dean
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
18
Active years
1994–2018
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2018 | SIGMOD | The Case for Learned Index Structures. | Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis |
| 2017 | ISCA | In-Datacenter Performance Analysis of a Tensor Processing Unit. | Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Daniel Killebrew, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Matt Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon |
| 2016 | OSDI | TensorFlow: A System for Large-Scale Machine Learning. | Martn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng |
| 2016 | WSDM | Large-Scale Deep Learning For Building Intelligent Computer Systems. | Jeffrey Dean |
| 2015 | SOSP | The rise of cloud computing systems. | Jeffrey Dean |
| 2013 | ICASSP | Multilingual acoustic models using distributed deep neural networks. | Georg Heigold, Vincent Vanhoucke, Andrew W. Senior, Patrick Nguyen, Marc'Aurelio Ranzato, Matthieu Devin, Jeffrey Dean |
| 2013 | ICASSP | On rectified linear units for speech processing. | Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Z. Mao, K. Yang, Quoc Viet Le, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke, Jeffrey Dean, Geoffrey E. Hinton |
| 2012 | ICML | Building high-level features using large scale unsupervised learning. | Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Jeffrey Dean, Andrew Y. Ng |
| 2012 | OSDI | Spanner: Google's Globally-Distributed Database. | James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost, J. J. Furman, Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, Wilson C. Hsieh, Sebastian Kanthak, Eugene Kogan, Hongyi Li, Alexander Lloyd, Sergey Melnik, David Mwaura, David Nagle, Sean Quinlan, Rajesh Rao, Lindsay Rolig, Yasushi Saito, Michal Szymaniak, Christopher Taylor, Ruth Wang, Dale Woodford |
| 2010 | CLOUD | Evolution and future directions of large-scale storage and computation systems at Google. | Jeffrey Dean |
| 2009 | Interspeech | Back-off language model compression. | Boulos Harb, Ciprian Chelba, Jeffrey Dean, Sanjay Ghemawat |
| 2009 | WSDM | Challenges in building large-scale information retrieval systems: invited talk. | Jeffrey Dean |
| 2007 | EMNLP | Large Language Models in Machine Translation. | Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Josef Och, Jeffrey Dean |
| 2007 | USENIX | MapReduce and Other Building Blocks for Large-Scale Distributed Systems at Google. | Jeffrey Dean |
| 2006 | OSDI | Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!). | Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Michael Burrows, Tushar Chandra, Andrew Fikes, Robert Gruber |
| 2004 | OSDI | MapReduce: Simplified Data Processing on Large Clusters. | Jeffrey Dean, Sanjay Ghemawat |
| 1997 | MICRO | Untitled record | Jeffrey Dean, James E. Hicks, Carl A. Waldspurger, William E. Weihl, George Z. Chrysos |
| 1997 | OOPSLA | Call Graph Construction in Object-Oriented Languages. | David Grove, Greg DeFouw, Jeffrey Dean, Craig Chambers |
| 1997 | SOSP | Continuous Profiling: Where Have All the Cycles Gone? | Jennifer-Ann M. Anderson, Lance M. Berc, Jeffrey Dean, Sanjay Ghemawat, Monika Rauch Henzinger, Shun-Tak Leung, Richard L. Sites, Mark T. Vandevoorde, Carl A. Waldspurger, William E. Weihl |
| 1996 | ICANN | Simplifying Neural Networks for Controlling Walking by Exploiting Physical Properties. | Holk Cruse, Christian Bartling, Jeffrey Dean, Thomas Kindermann, Josef Schmitz, Michael Schumm, Hendrik Wagner |
| 1996 | OOPSLA | Vortex: An Optimizing Compiler for Object-Oriented Languages. | Jeffrey Dean, Greg DeFouw, David Grove, Vassily Litvinov, Craig Chambers |
| 1995 | ECOOP | Optimization of Object-Oriented Programs Using Static Class Hierarchy Analysis. | Jeffrey Dean, David Grove, Craig Chambers |
| 1995 | ICSE | A Framework for Selective Recompilation in the Presence of Complex Intermodule Dependencies. | Craig Chambers, Jeffrey Dean, David Grove |
| 1995 | OOPSLA | Profile-Guided Receiver Class Prediction. | David Grove, Jeffrey Dean, Charles Garrett, Craig Chambers |
| 1995 | PLDI | Selective Specialization for Object-Oriented Languages. | Jeffrey Dean, Craig Chambers, David Grove |
| 1994 | PEPM | Identifying Profitable Specialization in Object-Oriented Languages. | Jeffrey Dean, Craig Chambers, David Grove |