Xinghao Pan

Cited by

	All	Since 2016
Citations	1717	1222
h-index	16	14
i10-index	18	15

280

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200820092010201120122013201420152016201720182019202020215 18 47 41 44 75 98 131 177 210 264 276 273 19

Co-authors

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
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyVerified email at eecs.berkeley.edu
Dimitris PapailiopoulosAssistant Professor, University of Wisconsin-MadisonVerified email at papail.io
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Rajat MongaGoogleVerified email at google.com
Samy BengioResearch Scientist, Google BrainVerified email at google.com
Eugene MarinelliCarnegie Mellon UniversityVerified email at cmu.edu
Ameet TalwalkarCMU and Determined AIVerified 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 JegelkaMITVerified 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
Javed AslamProfessor, Khoury College of Computer Sciences, Northeastern UniversityVerified email at ccs.neu.edu
Tamara BroderickAssociate Professor of EECS, Massachusetts Institute of TechnologyVerified email at csail.mit.edu

Xinghao Pan

Senior Research Scientist @ DSO National Laboratories

Verified email at dso.org.sg - 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	462	2016
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	200	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	162	2012
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	152	2017
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	146	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	109	2010
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	95	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	87	2010
Parallel correlation clustering on big graphs X Pan, D Papailiopoulos, S Oymak, B Recht, K Ramchandran, MI Jordan arXiv preprint arXiv:1507.05086, 2015	67	2015
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	55	2016
Parallel double greedy submodular maximization X Pan, S Jegelka, J Gonzalez, J Bradley, M Jordan Advances in Neural Information Processing Systems 26, 2014	38	2014
Optimistic concurrency control for distributed unsupervised learning X Pan, JE Gonzalez, S Jegelka, T Broderick, MI Jordan arXiv preprint arXiv:1307.8049, 2013	33	2013
Hemingway: modeling distributed optimization algorithms X Pan, S Venkataraman, Z Tai, J Gonzalez arXiv preprint arXiv:1702.05865, 2017	24	2017
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	21*	2012
Revisiting distributed synchronous sgd X Pan, J Chen, R Monga, S Bengio, R Jozefowicz arXiv preprint arXiv:1702.05800, 2017	18	2017
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	14*	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	10	2012
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	5	2019
Parallel machine learning using concurrency control X Pan UC Berkeley, 2017	1	2017

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