Joseph E. Gonzalez

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Citations	23877	18035
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Ion StoicaProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Ken GoldbergProfessor, UC Berkeley and UCSFVerified email at berkeley.edu
Joseph HellersteinJim Gray Professor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Michael FranklinLiew Family Chair of Computer Science, University of ChicagoVerified email at uchicago.edu
Carlos GuestrinProfessor, Stanford UniversityVerified email at stanford.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Xin WangMicrosoft Research, UC BerkeleyVerified email at berkeley.edu
Ankur DaveSoftware Engineer, DatabricksVerified email at eecs.berkeley.edu
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyVerified email at berkeley.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Daniel CrankshawGraduate Student, UC BerkeleyVerified email at cs.berkeley.edu
Danny BicksonSr. Manager, AppleVerified email at cs.cmu.edu
Alvin WanResearch Scientist, AppleVerified email at apple.com
Vikram SreekantiUC BerkeleyVerified email at berkeley.edu
Brijen ThananjeyanResearch Scientist, Ambi RoboticsVerified email at ambirobotics.com
Reynold XinDatabricksVerified email at databricks.com
Bichen WuMeta Reality Labs, UC BerkeleyVerified email at berkeley.edu
Michael MahoneyProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Johann Schleier-SmithUC BerkeleyVerified email at berkeley.edu
Ashwin BalakrishnaResearch Scientist, NuroVerified email at nuro.ai

Joseph E. Gonzalez

Professor of Computer Science, UC Berkeley

Verified email at berkeley.edu - Homepage

Machine Learning Computer Systems


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Apache spark: a unified engine for big data processing M Zaharia, RS Xin, P Wendell, T Das, M Armbrust, A Dave, X Meng, ... Communications of the ACM 59 (11), 56-65, 2016	2605	2016
Distributed graphlab: A framework for machine learning in the cloud Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein arXiv preprint arXiv:1204.6078, 2012	2398	2012
Powergraph: Distributed graph-parallel computation on natural graphs JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin Presented as part of the 10th {USENIX} Symposium on Operating Systems Design …, 2012	2294	2012
Graphx: Graph processing in a distributed dataflow framework JE Gonzalez, RS Xin, A Dave, D Crankshaw, MJ Franklin, I Stoica 11th {USENIX} Symposium on Operating Systems Design and Implementation …, 2014	1399	2014
Graphlab: A new framework for parallel machine learning Y Low, JE Gonzalez, A Kyrola, D Bickson, CE Guestrin, J Hellerstein arXiv preprint arXiv:1408.2041, 2014	1042	2014
Graphx: A resilient distributed graph system on spark RS Xin, JE Gonzalez, MJ Franklin, I Stoica First international workshop on graph data management experiences and …, 2013	893	2013
RLlib: Abstractions for distributed reinforcement learning E Liang, R Liaw, R Nishihara, P Moritz, R Fox, K Goldberg, J Gonzalez, ... International Conference on Machine Learning, 3053-3062, 2018	635	2018
Tune: A research platform for distributed model selection and training R Liaw, E Liang, R Nishihara, P Moritz, JE Gonzalez, I Stoica arXiv preprint arXiv:1807.05118, 2018	585	2018
Skipnet: Learning dynamic routing in convolutional networks X Wang, F Yu, ZY Dou, T Darrell, JE Gonzalez Proceedings of the European Conference on Computer Vision (ECCV), 409-424, 2018	553	2018
Cloud programming simplified: A berkeley view on serverless computing E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ... arXiv preprint arXiv:1902.03383, 2019	533	2019
Clipper: A Low-Latency Online Prediction Serving System. D Crankshaw, X Wang, G Zhou, MJ Franklin, JE Gonzalez, I Stoica NSDI 17, 613-627, 2017	482	2017
Graphlab: A new parallel framework for machine learning Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein Conference on uncertainty in artificial intelligence (UAI) 20, 2010	452	2010
Serverless computing: One step forward, two steps back JM Hellerstein, J Faleiro, JE Gonzalez, J Schleier-Smith, V Sreekanti, ... arXiv preprint arXiv:1812.03651, 2018	390	2018
Opaque: An Oblivious and Encrypted Distributed Analytics Platform. W Zheng, A Dave, JG Beekman, RA Popa, JE Gonzalez, I Stoica NSDI 17, 283-298, 2017	365	2017
Shift: A zero flop, zero parameter alternative to spatial convolutions B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018	340	2018
Visual transformers: Token-based image representation and processing for computer vision B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, J Gonzalez, ... arXiv preprint arXiv:2006.03677, 2020	337	2020
Scalable inference in latent variable models A Ahmed, M Aly, J Gonzalez, S Narayanamurthy, AJ Smola Proceedings of the fifth ACM international conference on Web search and data …, 2012	322	2012
Frustratingly simple few-shot object detection X Wang, TE Huang, T Darrell, JE Gonzalez, F Yu arXiv preprint arXiv:2003.06957, 2020	294	2020
Carbon emissions and large neural network training D Patterson, J Gonzalez, Q Le, C Liang, LM Munguia, D Rothchild, D So, ... arXiv preprint arXiv:2104.10350, 2021	281	2021
Model-based value estimation for efficient model-free reinforcement learning V Feinberg, A Wan, I Stoica, MI Jordan, JE Gonzalez, S Levine arXiv preprint arXiv:1803.00101, 2018	248	2018

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