Chun-Nam Yu
Chun-Nam Yu
Member of Technical Staff, Nokia Bell Labs
Verified email at cs.cornell.edu
TitleCited byYear
Cutting-plane training of structural SVMs
T Joachims, T Finley, CNJ Yu
Machine Learning 77 (1), 27-59, 2009
11532009
Learning structural SVMs with latent variables.
CNJ Yu, T Joachims
ICML 2 (3), 5, 2009
6782009
Sparse kernel SVMs via cutting-plane training
T Joachims, CNJ Yu
Machine Learning 76 (2-3), 179-193, 2009
1422009
Predicting structured objects with support vector machines
T Joachims, T Hofmann, Y Yue, CN Yu
Communications of the ACM 52 (11), 97, 2009
1072009
Demand forecasting in smart grids
P Mirowski, S Chen, TK Ho, CN Yu
Bell Labs technical journal 18 (4), 135-158, 2014
782014
Demand forecasting in smart grids
P Mirowski, S Chen, TK Ho, CN Yu
Bell Labs technical journal 18 (4), 135-158, 2014
782014
A sparse coding approach to household electricity demand forecasting in smart grids
CN Yu, P Mirowski, TK Ho
IEEE Transactions on Smart Grid 8 (2), 738-748, 2016
652016
The magazine archive includes every article published in Communications of the ACM for over the past 50 years.
PJ Denning
Communications of the ACM 56 (5), 35-38, 2013
53*2013
Learning patient-specific cancer survival distributions as a sequence of dependent regressors
CN Yu, R Greiner, HC Lin, V Baracos
Advances in Neural Information Processing Systems, 1845-1853, 2011
532011
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification.
J Wen, CN Yu, R Greiner
ICML, 631-639, 2014
432014
Training structural svms with kernels using sampled cuts
CNJ Yu, T Joachims
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
412008
Support vector training of protein alignment models
CNJ Yu, T Joachims, R Elber, J Pillardy
Annual International Conference on Research in Computational Molecular …, 2007
342007
Support vector training of protein alignment models
CNJ Yu, T Joachims, R Elber, J Pillardy
Journal of Computational Biology 15 (7), 867-880, 2008
212008
Transductive learning of structural SVMs via prior knowledge constraints
CN Yu
Artificial Intelligence and Statistics, 1367-1376, 2012
82012
A direct approach to robust deep learning using adversarial networks
H Wang, CN Yu
arXiv preprint arXiv:1905.09591, 2019
52019
Improved learning of structural support vector machines: training with latent variables and nonlinear kernels
CN Yu
52011
DyMo: Dynamic Monitoring of Large-Scale LTE-Multicast Systems
Y Bejerano, C Raman, CN Yu, V Gupta, C Gutterman, T Young, ...
IEEE/ACM Transactions on Networking 27 (1), 258-271, 2019
42019
Online algorithm for approximate quantile queries on sliding windows
CN Yu, M Crouch, R Chen, A Sala
International Symposium on Experimental Algorithms, 369-384, 2016
32016
Convolutional Neural Networks for Figure Extraction in Historical Technical Documents
CN Yu, CC Levy, I Saniee
2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017
22017
A generalized loop correction method for approximate inference in graphical models
S Ravanbakhsh, CN Yu, R Greiner
arXiv preprint arXiv:1206.4654, 2012
22012
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Articles 1–20