Seung-Jean Kim

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Citazioni	9245	3353
Indice H	28	17
i10-index	46	24

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Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordEmail verificata su stanford.edu
Michael (Miki) LustigProfessor of Electrical Engineering and Computer Science, UC BerkeleyEmail verificata su eecs.berkeley.edu
Dimitry GorinevskyConsulting Professor in Electrical Engineering, Stanford UniversityEmail verificata su stanford.edu
Almir MutapcicEmail verificata su alumni.stanford.edu
Mark HorowitzProfessor of Electrical Engineering and Computer ScienceEmail verificata su ee.stanford.edu
Lieven VandenbergheUCLAEmail verificata su ucla.edu
Lin XiaoFacebook AI ResearchEmail verificata su fb.com
John PaulyProfessor of Electrical Engineering, Stanford UniversityEmail verificata su stanford.edu
Jisung OhSamsung ElectronicsEmail verificata su samsung.com
Jungwon LeeVice President, Samsung US R&DEmail verificata su samsung.com
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaEmail verificata su cuhk.edu.cn
Mario ParenteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstEmail verificata su ecs.umass.edu
Xinlei WangProfessor of Statistics, Southern Methodist UniversityEmail verificata su smu.edu
Sungroh YoonProfessor, Electrical and Computer Engineering & Artificial Intelligence, Seoul National UniversityEmail verificata su snu.ac.kr
Ravi NarasimhanEmail verificata su stanfordalumni.org
Young-Han KimUniversity of California, San DiegoEmail verificata su ucsd.edu
Kyu S. HahnSeoul National UniversityEmail verificata su snu.ac.kr
John CioffiProfessor of EE, Stanford University

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Seung-Jean Kim

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Email verificata su sjklab.net

Large-Scale Optimization with Applications Dynamic Optimization Machine Learning Quantitative Finance Control.


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
An Interior-Point Method for Large-Scale-Regularized Least Squares SJ Kim, K Koh, M Lustig, S Boyd, D Gorinevsky IEEE journal of selected topics in signal processing 1 (4), 606-617, 2007	2537	2007
A tutorial on geometric programming S Boyd, SJ Kim, L Vandenberghe, A Hassibi Optimization and engineering 8 (1), 67-127, 2007	1317	2007
Distributed average consensus with least-mean-square deviation L Xiao, S Boyd, SJ Kim Journal of parallel and distributed computing 67 (1), 33-46, 2007	1168	2007
An interior-point method for large-scale l1-regularized logistic regression K Koh, SJ Kim, S Boyd Journal of Machine learning research 8 (Jul), 1519-1555, 2007	899	2007
Trend Filtering SJ Kim, K Koh, S Boyd, D Gorinevsky SIAM review 51 (2), 339-360, 2009	751	2009
A game-theoretic approach to power allocation in frequency-selective Gaussian interference channels ST Chung, SJ Kim, J Lee, JM Cioffi IEEE International Symposium on Information Theory, 2003. Proceedings., 316-316, 2003	221	2003
Digital circuit optimization via geometric programming SP Boyd, SJ Kim, DD Patil, MA Horowitz Operations research 53 (6), 899-932, 2005	219	2005
Optimal kernel selection in kernel fisher discriminant analysis SJ Kim, A Magnani, S Boyd Proceedings of the 23rd international conference on Machine learning, 465-472, 2006	186	2006
Condition‐number‐regularized covariance estimation JH Won, J Lim, SJ Kim, B Rajaratnam Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2013	147	2013
Robust fisher discriminant analysis SJ Kim, A Magnani, S Boyd Advances in neural information processing systems 18, 2005	142	2005
A fast method for designing time-optimal gradient waveforms for arbitrary k-space trajectories M Lustig, SJ Kim, JM Pauly IEEE transactions on medical imaging 27 (6), 866-873, 2008	135	2008
Robust beamforming via worst-case SINR maximization SJ Kim, A Magnani, A Mutapcic, SP Boyd, ZQ Luo IEEE Transactions on Signal Processing 56 (4), 1539-1547, 2008	130	2008
l1_ls: A Matlab solver for large-scale l1-regularized least square problems K Koh http://www. stanford. edu/~ boyd/l1_ls, 2007	118*	2007
An efficient method for compressed sensing SJ Kim, K Koh, M Lustig, S Boyd 2007 IEEE International Conference on Image Processing 3, III-117-III-120, 2007	95	2007
Hyperspectral image unmixing via alternating projected subgradients A Zymnis, SJ Kim, J Skaf, M Parente, S Boyd 2007 Conference Record of the Forty-First Asilomar Conference on Signals …, 2007	89	2007
A minimax theorem with applications to machine learning, signal processing, and finance SJ Kim, S Boyd SIAM Journal on Optimization 19 (3), 1344-1367, 2008	85	2008
A new method for design of robust digital circuits D Patil, S Yun, SJ Kim, A Cheung, M Horowitz, S Boyd Sixth international symposium on quality electronic design (isqed'05), 676-681, 2005	79*	2005
Tractable approximate robust geometric programming KL Hsiung, SJ Kim, S Boyd Optimization and Engineering 9 (2), 95-118, 2008	70	2008
GGPLAB: a matlab toolbox for geometric programming A Mutapcic, K Koh, SJ Kim, S Boyd Available from www. st anford. edu/∼ boyd/ggplab, 2006	54*	2006
Maximum likelihood covariance estimation with a condition number constraint JH Won, SJ Kim 2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 1445-1449, 2006	52	2006

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