Xinghao Pan

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Priya NarasimhanProfessor, Electrical & Computer Engineering, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jiaqi TanDSO National Laboratories, SingaporeVerified email at alumni.cmu.edu
Soila KavulyaIntelVerified email at intel.com
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Dimitris PapailiopoulosResearcher at Microsoft Research & Assoc. Professor at University of WisconsinVerified email at papail.io
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Rajat MongaMicrosoftVerified email at microsoft.com
Samy BengioSenior Director, AI and Machine Learning Research, AppleVerified email at apple.com
jianmin chenUniversity of FloridaVerified email at cise.ufl.edu
Eugene MarinelliCarnegie Mellon UniversityVerified email at cmu.edu
Ameet TalwalkarCMUVerified email at cmu.edu
Virginia SmithCarnegie Mellon UniversityVerified email at cmu.edu
Michael FranklinLiew Family Chair of Computer Science, University of ChicagoVerified email at uchicago.edu
Tim KraskaMITVerified email at mit.edu
Stefanie JegelkaTUM and MITVerified email at mit.edu
Horia ManiaMassachusetts Institute of TechnologyVerified email at mit.edu
Sejoon LimDepartment of Automobile and IT Convergence, Kookmin UniversityVerified email at kookmin.ac.kr
Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MITVerified email at csail.mit.edu

Xinghao Pan

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Verified email at eecs.berkeley.edu - Homepage

Machine Learning Statistics Big Data Databases


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Revisiting distributed synchronous SGD J Chen, X Pan, R Monga, S Bengio, R Jozefowicz arXiv preprint arXiv:1604.00981, 2016	934	2016
Perturbed iterate analysis for asynchronous stochastic optimization H Mania, X Pan, D Papailiopoulos, B Recht, K Ramchandran, MI Jordan SIAM Journal on Optimization 27 (4), 2202-2229, 2017	259	2017
MLI: An API for distributed machine learning ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ... 2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013	246	2013
City-scale traffic estimation from a roving sensor network J Aslam, S Lim, X Pan, D Rus Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems …, 2012	205	2012
SALSA: Analyzing logs as state machines J Tan, X Pan, S Kavulya, R Gandhi, P Narasimhan First USENIX Workshop on Analysis of System Logs (WASL), 2008	168	2008
Ganesha: Black-box diagnosis of MapReduce systems X Pan, J Tan, S Kavulya, R Gandhi, P Narasimhan ACM SIGMETRICS Performance Evaluation Review 37 (3), 8-13, 2010	122	2010
Parallel correlation clustering on big graphs X Pan, D Papailiopoulos, S Oymak, B Recht, K Ramchandran, MI Jordan Advances in Neural Information Processing Systems 28, 2015	109	2015
Mochi: Visual log-analysis based tools for debugging hadoop J Tan, X Pan, S Kavulya, R Gandhi, P Narasimhan Hot Topics in Cloud Computing (HotCloud), 2009	101	2009
Kahuna: Problem diagnosis for mapreduce-based cloud computing environments J Tan, X Pan, E Marinelli, S Kavulya, R Gandhi, P Narasimhan Network Operations and Management Symposium (NOMS), 112-119, 2010	96	2010
Cyclades: Conflict-free asynchronous machine learning X Pan, M Lam, S Tu, D Papailiopoulos, C Zhang, MI Jordan, ... Advances in Neural Information Processing Systems, 2016, 2016	65	2016
Parallel double greedy submodular maximization X Pan, S Jegelka, J Gonzalez, J Bradley, M Jordan Advances in Neural Information Processing Systems 26, 2014	44	2014
Optimistic concurrency control for distributed unsupervised learning X Pan, JE Gonzalez, S Jegelka, T Broderick, MI Jordan Advances in Neural Information Processing Systems 26, 2013	36	2013
Hemingway: modeling distributed optimization algorithms X Pan, S Venkataraman, Z Tai, J Gonzalez arXiv preprint arXiv:1702.05865, 2017	32	2017
Twitter homophily: Network based prediction of user’s occupation J Pan, R Bhardwaj, W Lu, HL Chieu, X Pan, NY Puay Proceedings of the 57th Conference of the Association for Computational …, 2019	27	2019
MLbase: A distributed machine learning wrapper A Talwalkar, T Kraska, R Griffith, J Duchi, J Gonzalez, D Britz, X Pan, ... Big Learning Workshop at NIPS, 2012	22*	2012
Blind men and the elephant: Piecing together Hadoop for diagnosis X Pan, J Tan, S Kavulya, R Gandhi, P Narasimhan International Symposium on Software Reliability Engineering (ISSRE), Mysuru …, 2009	18	2009
ASDF: Automated online fingerpointing for Hadoop K Bare, M Kasick, S Kavulya, E Marinelli, X Pan, J Tan, R Gandhi, ... Technical Report CMU-PDL-08-104, Carnegie Mellon, 2008	16*	2008
A cognitive system for adaptive decision making X Pan, LN Teow, KH Tan, JHB Ang, GW Ng Proceedings of the 15th International Conference on Information Fusion …, 2012	12	2012
Ganesha: Black-box fault diagnosis for MapReduce systems X Pan, J Tan, S Kavulya, R Gandhi, P Narasimhan Hot Metrics, 2008	10	2008
Parallel machine learning using concurrency control X Pan UC Berkeley, 2017	2	2017

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