Joseph E. Gonzalez

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Ion StoicaProfessor of Computer Science, UC BerkeleyCorreu electrònic verificat a cs.berkeley.edu
Ken GoldbergProfessor, UC Berkeley and UCSFCorreu electrònic verificat a berkeley.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyCorreu electrònic verificat a berkeley.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyCorreu electrònic verificat a eecs.berkeley.edu
Michael FranklinUniversity of ChicagoCorreu electrònic verificat a uchicago.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyCorreu electrònic verificat a cs.berkeley.edu
Xin WangMicrosoft AI, UC BerkeleyCorreu electrònic verificat a berkeley.edu
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyCorreu electrònic verificat a berkeley.edu
Carlos GuestrinProfessor, Stanford UniversityCorreu electrònic verificat a stanford.edu
Matei ZahariaUC Berkeley and DatabricksCorreu electrònic verificat a berkeley.edu
Alvin WanResearch Scientist, AppleCorreu electrònic verificat a apple.com
Ankur DaveSoftware Engineer, DatabricksCorreu electrònic verificat a eecs.berkeley.edu
Daniel CrankshawGraduate Student, UC BerkeleyCorreu electrònic verificat a cs.berkeley.edu
Brijen ThananjeyanSenior Research Scientist, Ambi RoboticsCorreu electrònic verificat a ambirobotics.com
Vikram SreekantiUC BerkeleyCorreu electrònic verificat a berkeley.edu
Michael MahoneyProfessor of Statistics, UC BerkeleyCorreu electrònic verificat a stat.berkeley.edu
Bichen WuStealth Startup. ex GenAI at Meta, UC BerkeleyCorreu electrònic verificat a berkeley.edu
Danny BicksonSr. Manager, AppleCorreu electrònic verificat a cs.cmu.edu
Reynold XinDatabricksCorreu electrònic verificat a databricks.com
Johann Schleier-SmithUC BerkeleyCorreu electrònic verificat a berkeley.edu

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Joseph E. Gonzalez

Professor of Computer Science, UC Berkeley

Correu electrònic verificat a berkeley.edu - Pàgina d'inici

Machine Learning Computer Systems


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
{PowerGraph}: Distributed {Graph-Parallel} computation on natural graphs JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin 10th USENIX symposium on operating systems design and implementation (OSDI …, 2012	3365*	2012
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	3213	2016
Judging llm-as-a-judge with mt-bench and chatbot arena L Zheng, WL Chiang, Y Sheng, S Zhuang, Z Wu, Y Zhuang, Z Lin, Z Li, ... Advances in Neural Information Processing Systems 36, 46595-46623, 2023	2634	2023
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	2538	2012
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality WL Chiang, Z Li, Z Lin, Y Sheng, Z Wu, H Zhang, L Zheng, S Zhuang, ... See https://vicuna. lmsys. org (accessed 14 April 2023) 2 (3), 6, 2023	1965	2023
Efficient memory management for large language model serving with pagedattention W Kwon, Z Li, S Zhuang, Y Sheng, L Zheng, CH Yu, J Gonzalez, H Zhang, ... Proceedings of the 29th Symposium on Operating Systems Principles, 611-626, 2023	1266	2023
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	1224	2018
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	1125	2014
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	1121	2018
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	942	2013
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	907	2021
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	879	2019
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	796	2018
Clipper: A {Low-Latency} online prediction serving system D Crankshaw, X Wang, G Zhou, MJ Franklin, JE Gonzalez, I Stoica 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017	781	2017
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, March 2023 WL Chiang, Z Li, Z Lin, Y Sheng, Z Wu, H Zhang, L Zheng, S Zhuang, ... URL https://lmsys. org/blog/2023-03-30-vicuna 3 (5), 2023	689	2023
Frustratingly simple few-shot object detection X Wang, TE Huang, T Darrell, JE Gonzalez, F Yu arXiv preprint arXiv:2003.06957, 2020	680	2020
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	657	2020
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	553	2018
Opaque: An oblivious and encrypted distributed analytics platform W Zheng, A Dave, JG Beekman, RA Popa, JE Gonzalez, I Stoica 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017	491	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	472	2018

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