Bert Huang

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Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzVerified email at ucsc.edu
Ben LondonPrincipal Scientist at AmazonVerified email at amazon.com
Tony JebaraSpotifyVerified email at spotify.com
Stephen H. BachAssistant Professor of Computer Science, Brown UniversityVerified email at cs.brown.edu
Ansaf Salleb-AouissiColumbia University Computer Science DepartmentVerified email at columbia.edu
Dan GoldwasserPurdue UniversityVerified email at purdue.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Arti RameshSenior Manager, Nissan Advanced Technology CenterVerified email at nissan-usa.com
Elaheh RaisiLinkedInVerified email at vt.edu
Chidubem ArachieVirginia TechVerified email at vt.edu
Sirui YaoVirginia TechVerified email at vt.edu
Matthias BroechelerVerified email at matthiasb.com
Phil Grossformer PhD candidate, Columbia University, currently at GoogleVerified email at cs.columbia.edu
Angelika KimmigKU LeuvenVerified email at cs.kuleuven.be
Blake ShawRedditVerified email at cs.columbia.edu
Galileo NamataVerified email at cs.umd.edu
Ben TaskarUniversity of WashingtonVerified email at cs.washington.edu
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn StateVerified email at cse.psu.edu
Albert BoulangerSenior Data Architect, Department of Neurology, Columbia UniversityVerified email at ldeo.columbia.edu

Bert Huang

Assistant Professor, Tufts University Department of Computer Science

Verified email at vt.edu - Homepage

Machine learning structured prediction graphical models online harassment detection algorithmic fairness


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Query-driven active surveying for collective classification G Namata, B London, L Getoor, B Huang, U Edu 10th international workshop on mining and learning with graphs 8, 1, 2012	637	2012
Hinge-loss markov random fields and probabilistic soft logic SH Bach, M Broecheler, B Huang, L Getoor Journal of Machine Learning Research 18 (109), 1–67, 2017	529	2017
Beyond Parity: Fairness Objectives for Collaborative Filtering S Yao, B Huang Advances in Neural Information Processing Systems, 2017	469	2017
Machine learning for the New York City power grid C Rudin, D Waltz, RN Anderson, A Boulanger, A Salleb-Aouissi, M Chow, ... IEEE transactions on pattern analysis and machine intelligence 34 (2), 328-345, 2011	354	2011
A short introduction to probabilistic soft logic A Kimmig, S Bach, M Broecheler, B Huang, L Getoor NIPS Workshop on probabilistic programming: Foundations and applications 1, 3, 2012	329	2012
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators N Ramakrishnan, P Butler, S Muthiah, N Self, R Khandpur, P Saraf, ... Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	306	2014
Modeling learner engagement in MOOCs using probabilistic soft logic A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor NIPS workshop on data driven education 21, 62, 2013	214	2013
Semantic model vectors for complex video event recognition M Merler, B Huang, L Xie, G Hua, A Natsev IEEE Transactions on Multimedia 14 (1), 88-101, 2011	173	2011
Learning latent engagement patterns of students in online courses A Ramesh, D Goldwasser, B Huang, H Daume III, L Getoor Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	172	2014
Joint models of disagreement and stance in online debate D Sridhar, J Foulds, B Huang, L Getoor, M Walker Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	168	2015
Hinge-loss Markov random fields: Convex inference for structured prediction SH Bach, B Huang, B London, L Getoor Uncertainty in Artificial Intelligence 1, 2, 2013	147	2013
Network-based drug-target interaction prediction with probabilistic soft logic S Fakhraei, B Huang, L Raschid, L Getoor IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (5 …, 2014	137	2014
Loopy belief propagation for bipartite maximum weight b-matching B Huang, T Jebara Artificial Intelligence and Statistics (AISTATS), 195--202, 2007	132	2007
Understanding MOOC discussion forums using seeded LDA A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor Proceedings of the ninth workshop on innovative use of NLP for building …, 2014	130	2014
Machine learning for power grid RN Anderson, A Boulanger, C Rudin, D Waltz, A Salleb-Aouissi, M Chow, ... US Patent 8,751,421, 2014	110	2014
Learning a Distance Metric from a Network. B Shaw, B Huang, T Jebara Advances in Neural Information Processing Systems, 1899-1907, 2011	107	2011
Cyberbullying identification using participant-vocabulary consistency E Raisi, B Huang arXiv preprint arXiv:1606.08084, 2016	103	2016
Cyberbullying Detection with Weakly Supervised Machine Learning E Raisi, B Huang IEEE/ACM International Conference on Advances in Social Network Analysis and …, 2017	102	2017
Planned Protest Modeling in News and Social Media S Muthiah, B Huang, J Arredondo, D Mares, L Getoor, G Katz, ... Conference on Innovative Applications of Artificial Intelligence (IAAI-15), 2015	98	2015
Machine optimization devices, methods, and systems T Jebara, B Huang US Patent 8,631,044, 2014	68	2014

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