Sugato Basu

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Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Mikhail BilenkoMicrosoftVerified email at microsoft.com
Ian DavidsonProfessor of Computer Science, University of California - DavisVerified email at cs.ucdavis.edu
Pradyumna NarayanaGoogleVerified email at google.com
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraVerified email at cs.ucsb.edu
Xin Eric WangAssistant Professor, University of California, Santa CruzVerified email at ucsc.edu
Kiri WagstaffVerified email at wkiri.com
Nur ToubaProfessor of Electrical and Computer Engineering, University of Texas at AustinVerified email at ece.utexas.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsVerified email at utexas.edu
Christos FaloutsosCMUVerified email at cs.cmu.edu
Brian GallagherComputer Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Tina Eliassi-RadProfessor & The Inaugural Joseph E. Aoun Chair, Northeastern UniversityVerified email at eliassi.org
Hanghang TongUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Wanrong ZhuAdobe ResearchVerified email at adobe.com
Biswanath PandaGoogle Inc.Verified email at google.com

Sugato Basu

Distinguished Scientist at Google

Verified email at google.com - Homepage

Machine Learning/Deep Learning Foundation Models Privacy and Personalization Multimodal Understanding Unsupervised/Semi-supe


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Semi-supervised clustering by seeding S Basu, A Banerjee, RJ Mooney Proceedings of the nineteenth international conference on machine learning …, 2002	1392	2002
Integrating constraints and metric learning in semi-supervised clustering M Bilenko, S Basu, RJ Mooney Proceedings of the twenty-first international conference on Machine learning, 11, 2004	1222	2004
A probabilistic framework for semi-supervised clustering S Basu, M Bilenko, RJ Mooney Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	1137	2004
Active semi-supervision for pairwise constrained clustering S Basu, A Banerjee, RJ Mooney Proceedings of the 2004 SIAM international conference on data mining, 333-344, 2004	864	2004
Constrained clustering: Advances in algorithms, theory, and applications S Basu, I Davidson, K Wagstaff Chapman and Hall/CRC, 2008	757	2008
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Proceedings of the 22nd international conference on machine learning, 457-464, 2005	673	2005
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	566	2012
Planet: massively parallel learning of tree ensembles with mapreduce B Panda, JS Herbach, S Basu, RJ Bayardo Proceedings of the VLDB Endowment 2 (2), 1426-1437, 2009	393	2009
Model-based overlapping clustering A Banerjee, C Krumpelman, J Ghosh, S Basu, RJ Mooney Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005	308	2005
Measuring constraint-set utility for partitional clustering algorithms I Davidson, KL Wagstaff, S Basu European conference on principles of data mining and knowledge discovery …, 2006	286	2006
Training-free structured diffusion guidance for compositional text-to-image synthesis W Feng, X He, TJ Fu, V Jampani, A Akula, P Narayana, S Basu, XE Wang, ... arXiv preprint arXiv:2212.05032, 2022	242	2022
Topic models over text streams: A study of batch and online unsupervised learning A Banerjee, S Basu Proceedings of the 2007 SIAM International Conference on Data Mining, 431-436, 2007	189	2007
Multi-way clustering on relation graphs A Banerjee, S Basu, S Merugu Proceedings of the 2007 SIAM international conference on data mining, 145-156, 2007	178	2007
Predicting bounce rates in sponsored search advertisements D Sculley, RG Malkin, S Basu, RJ Bayardo Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	143	2009
A survey of clustering with instance level constraints I Davidson, S Basu ACM Transactions on Knowledge Discovery from data 1 (1-41), 2-42, 2007	143	2007
Comparing and unifying search-based and similarity-based approaches to semi-supervised clustering S Basu, M Bilenko, RJ Mooney Proceedings of the ICML-2003 workshop on the continuum from labeled to …, 2003	126	2003
Layoutgpt: Compositional visual planning and generation with large language models W Feng, W Zhu, T Fu, V Jampani, A Akula, X He, S Basu, XE Wang, ... Advances in Neural Information Processing Systems 36, 2024	116	2024
Probabilistic semi-supervised clustering with constraints S Basu, M Bilenko, A Banerjee, R Mooney	106	2006
Semi-supervised clustering: probabilistic models, algorithms and experiments S Basu The University of Texas at Austin, 2005	95	2005
When is constrained clustering beneficial, and why KL Wagstaff, S Basu, I Davidson Ionosphere 58 (60.1), 62-63, 2006	92	2006

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