Jihun Hamm

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Daniel D. LeeTisch University Professor of ECE, Cornell UniversityVerified email at alum.mit.edu
Akshay MehraTulane UniversityVerified email at tulane.edu
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon ScholarVerified email at ucsd.edu
Bhavya KailkhuraResearch Scientist, Lawrence Livermore National LaboratoryVerified email at llnl.gov
Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
Dong Hye YeAssistant Professor, Georgia State University, TReNDS CenterVerified email at gsu.edu
Ruben GurUniversity of Pennsylvania Verified email at upenn.edu
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIVerified email at pennmedicine.upenn.edu
Sebastian MikaVerified email at sebastianmika.info
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Simon DennisProfessor, Melbourne School of Psychological Sciences, University of MelbourneVerified email at unimelb.edu.au
Kilian M. PohlProfessor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford UniversityVerified email at stanford.edu
Adam C. ChampionSenior Lecturer, The Ohio State UniversityVerified email at cse.ohio-state.edu
Yuanqing LinAibeeVerified email at aibee.co
Bohyung HanProfessor, Seoul National UniversityVerified email at snu.ac.kr
Dong XuanProfessor of Computer Science and Engineering, The Ohio-State UniversityVerified email at cse.ohio-state.edu
Amy PinkhamThe University of Texas at DallasVerified email at utdallas.edu
Jack SimSTRADVISIONVerified email at stradvision.com
Dongjin KwonGoogleVerified email at google.com
Donghun "Don" LeeSchool of Business and Economics, Seattle Pacific UniversityVerified email at spu.edu

Jihun Hamm

Tulane University

Verified email at tulane.edu - Homepage

Machine Learning Robust ML Privacy Adversarial Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Grassmann discriminant analysis: a unifying view on subspace-based learning J Hamm, DD Lee Proceedings of the 25th international conference on Machine learning, 376-383, 2008	765	2008
A kernel view of the dimensionality reduction of manifolds J Ham, DD Lee, S Mika, B Schölkopf Proceedings of the twenty-first international conference on Machine learning, 47, 2004	718	2004
Spectral methods for dimensionality reduction LK Saul, KQ Weinberger, J Hamm, F Sha, DD Lee Semisupervised learning, 293-308, 2006	384	2006
Automated facial action coding system for dynamic analysis of facial expressions in neuropsychiatric disorders J Hamm, CG Kohler, RC Gur, R Verma Journal of neuroscience methods 200 (2), 237-256, 2011	368	2011
Semisupervised alignment of manifolds. J Hamm, DD Lee, LK Saul AISTATS, 120-127, 2005	342	2005
Learning Privately from Multiparty Data J Hamm, P Cao, M Belkin Proceedings of The 33rd International Conference on Machine Learning (ICML …, 2016	203	2016
GRAM: A framework for geodesic registration on anatomical manifolds J Hamm, DH Ye, R Verma, C Davatzikos Medical image analysis 14 (5), 633-642, 2010	138	2010
Minimax Filter: Learning to Preserve Privacy from Inference Attacks J Hamm Journal of Machine Learning Research 18, 1-31, 2017	110	2017
Learning high dimensional correspondences from low dimensional manifolds JH Ham, DD Lee, LK Saul ICML workshop, 2003	97	2003
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices J Hamm, A Champion, G Chen, M Belkin, D Xuan IEEE International Conference on Distributed Computing Systems (ICDCS), 11-20, 2015	76	2015
Extended Grassmann kernels for subspace-based learning J Hamm, D Lee Advances in neural information processing systems 21, 2008	76	2008
Penalty Method for Inversion-Free Deep Bilevel Optimization A Mehra, J Hamm Asian Conference on Machine Learning (ACML), 2019	55	2019
Statistical Privacy for Streaming Traffic X Zhang, J Hamm, MK Reiter, Y Zhang Proceedings of the 26th Network and Distributed System Security Symposium …, 2019	55	2019
Privacy versus open science S Dennis, P Garrett, H Yim, J Hamm, AF Osth, V Sreekumar, B Stone Behavior research methods 51, 1839-1848, 2019	53	2019
Efficient large deformation registration via geodesics on a learned manifold of images J Hamm, C Davatzikos, R Verma International Conference on Medical Image Computing and Computer-Assisted …, 2009	53	2009
Automatic annotation of daily activity from smartphone-based multisensory streams J Hamm, B Stone, M Belkin, S Dennis Mobile Computing, Applications, and Services: 4th International Conference …, 2013	46	2013
Personalized video summarization with human in the loop B Han, J Hamm, J Sim 2011 IEEE Workshop on Applications of Computer Vision (WACV), 51-57, 2011	46	2011
Subspace-based learning with Grassmann kernels J Hamm University of Pennsylvania, 2008	43	2008
How Robust are Randomized Smoothing based Defenses to Data Poisoning? A Mehra, B Kailkhura, PY Chen, J Hamm Computer Vision and Pattern Recognition (CVPR), 2021	40	2021
Learning nonlinear appearance manifolds for robot localization J Ham, Y Lin, DD Lee 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2005	38	2005

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