Xuerui Wang

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	All	Since 2016
Citations	5448	2000
h-index	20	16
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Co-authors

Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Andrés Corrada-EmmanuelFounderVerified email at dataengines.com
Rebecca HutchinsonOregon State UniversityVerified email at eecs.orst.edu
Francisco PereiraMachine Learning Team, National Institute of Mental HealthVerified email at nih.gov
Marcel JustProfessor of Psychology, Carnegie Mellon UniversityVerified email at cmu.edu
Xing WeiInMobi Inc.Verified email at inmobi.com
Sharlene NewmanIndiana UniversityVerified email at indiana.edu
Ruofei ZhangMicrosoftVerified email at microsoft.com
Chris PalProfessor, Polytechnique Montréal & Mila, Element AI, Canada CIFAR AI ChairVerified email at polymtl.ca
Andrei BroderDistinguished Scientist, GoogleVerified email at google.com
Jianchang (JC) MaoCorporate Vice President, Bing Advertising Products and EngineeringVerified email at microsoft.com
Marcus FontouraMicrosoftVerified email at microsoft.com
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Evgeniy GabrilovichPrincipal Research Scientist / Research Director, Google HealthVerified email at google.com
Rong JinAlibaba GroupVerified email at cse.msu.edu
Bo PangGoogle Inc.Verified email at google.com
Yang ZhouLinkedInVerified email at msu.edu
Fuchun PengResearch ManagerVerified email at fb.com
John YenUniversity Professor of Information Sciences and Technology, The Pennsylvania State UniversityVerified email at ist.psu.edu

Xuerui Wang

Google Inc.

Verified email at google.com - Homepage

Machine learning Artificial Intelligence Data Mining Internet Advertising


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Topics over time: a non-Markov continuous-time model of topical trends X Wang, A McCallum Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	1625	2006
Learning to decode cognitive states from brain images TM Mitchell, R Hutchinson, RS Niculescu, F Pereira, X Wang, M Just, ... Machine learning 57 (1-2), 145-175, 2004	849	2004
Topic and role discovery in social networks with experiments on enron and academic email A McCallum, X Wang, A Corrada-Emmanuel Journal of Artificial Intelligence Research 30, 249-272, 2007	567	2007
Topical n-grams: Phrase and topic discovery, with an application to information retrieval X Wang, A McCallum, X Wei icdm, 697-702, 2007	563	2007
Topic and role discovery in social networks A McCallum, A Corrada-Emmanuel, X Wang	400	2005
Group and topic discovery from relations and text X Wang, N Mohanty, A McCallum Proceedings of the 3rd international workshop on Link discovery, 28-35, 2005	163	2005
Dynamic Mixture Models for Multiple Time-Series. X Wei, J Sun, X Wang Ijcai 7, 2909-2914, 2007	147	2007
The author-recipient-topic model for topic and role discovery in social networks: Experiments with enron and academic email A McCallum, A Corrada-Emmanuel, X Wang Computer Science Department Faculty Publication Series, 44, 2005	141	2005
Classifying instantaneous cognitive states from fMRI data TM Mitchell, R Hutchinson, MA Just, RS Niculescu, F Pereira, X Wang AMIA annual symposium proceedings 2003, 465, 2003	137	2003
Training fMRI classifiers to detect cognitive states across multiple human subjects X Wang, R Hutchinson, TM Mitchell Advances in neural information processing systems, 709-716, 2004	133	2004
Multi-conditional learning: Generative/discriminative training for clustering and classification A McCallum, C Pal, G Druck, X Wang AAAI, 433-439, 2006	129	2006
Exploitation and exploration in a performance based contextual advertising system W Li, X Wang, R Zhang, Y Cui, J Mao, R Jin Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	101	2010
Group and topic discovery from relations and their attributes X Wang, N Mohanty, A McCallum Advances in Neural Information Processing Systems, 1449-1456, 2006	82	2006
Click-through rate estimation for rare events in online advertising X Wang, W Li, Y Cui, R Zhang, J Mao Online Multimedia Advertising: Techniques and Technologies, 1-12, 2011	53	2011
Joint group and topic discovery from relations and text A McCallum, X Wang, N Mohanty Statistical network analysis: Models, issues, and new directions, 28-44, 2007	47	2007
A note on topical n-grams X Wang, A McCallum MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2005	46	2005
System and Method for Automated Recommendation of Advertisement Targeting Attributes RB Zhang, Y Zhou, X Wang US Patent App. 12/965,711, 2012	25	2012
A search-based method for forecasting ad impression in contextual advertising X Wang, A Broder, M Fontoura, V Josifovski Proceedings of the 18th international conference on World wide web, 491-500, 2009	23	2009
Forecasting Ad Traffic Based on Business Metrics in Performance-based Display Advertising X Wang, RB Zhang US Patent App. 12/973,637, 2012	22	2012
Using machine learning to detect cognitive states across multiple subjects X Wang, TM Mitchell, R Hutchinson CALD KDD project paper, 2003	20	2003

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