Tzu-Kuo Huang
Tzu-Kuo Huang
Research Scientist, Google Brain
Verified email at google.com
Title
Cited by
Cited by
Year
Temporal collaborative filtering with bayesian probabilistic tensor factorization
L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell
Proceedings of the 2010 SIAM international conference on data mining, 211-222, 2010
6362010
Generalized Bradley-Terry models and multi-class probability estimates
TK Huang, RC Weng, CJ Lin
Journal of Machine Learning Research 7 (Jan), 85-115, 2006
2092006
Multimodal trajectory predictions for autonomous driving using deep convolutional networks
H Cui, V Radosavljevic, FC Chou, TH Lin, T Nguyen, TK Huang, ...
2019 International Conference on Robotics and Automation (ICRA), 2090-2096, 2019
1082019
Active transfer learning under model shift
X Wang, TK Huang, J Schneider
International Conference on Machine Learning, 1305-1313, 2014
672014
Ranking individuals by group comparisons
TK Huang, CJ Lin, RC Weng
Journal of Machine Learning Research 9 (Oct), 2187-2216, 2008
472008
A generalized Bradley-Terry model: From group competition to individual skill
TK Huang, CJ Lin, R Weng
Advances in neural information processing systems 17, 601-608, 2004
382004
Efficient and parsimonious agnostic active learning
TK Huang, A Agarwal, DJ Hsu, J Langford, RE Schapire
Advances in Neural Information Processing Systems 28, 2755-2763, 2015
352015
Active Search and Bandits on Graphs using Sigma-Optimality.
Y Ma, TK Huang, JG Schneider
UAI, 542-551, 2015
342015
Active learning for cost-sensitive classification
A Krishnamurthy, A Agarwal, TK Huang, H Daumé III, J Langford
International Conference on Machine Learning, 1915-1924, 2017
322017
Predicting motion of vulnerable road users using high-definition maps and efficient convnets
FC Chou, TH Lin, H Cui, V Radosavljevic, T Nguyen, TK Huang, ...
arXiv preprint arXiv:1906.08469, 2019
242019
Robust sensor correlation analysis for machine condition monitoring
C Yuan, C Balderer, TK Huang, C Neubauer
US Patent 7,769,561, 2010
202010
Learning auto-regressive models from sequence and non-sequence data
TK Huang, JG Schneider
Advances in Neural Information Processing Systems, 1548-1556, 2011
122011
Learning nonlinear dynamic models from non-sequenced data
TK Huang, L Song, J Schneider
Proceedings of the Thirteenth International Conference on Artificial …, 2010
92010
Learning linear dynamical systems without sequence information
TK Huang, J Schneider
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
92009
Sequence recognition with scanning N-tuple ensembles
SM Lucas, TK Huang
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
92004
Pyramid: Enhancing selectivity in big data protection with count featurization
M Lecuyer, R Spahn, R Geambasu, TK Huang, S Sen
2017 IEEE Symposium on Security and Privacy (SP), 78-95, 2017
72017
Active learning with oracle epiphany
TK Huang, L Li, A Vartanian, S Amershi, J Zhu
Advances in neural information processing systems 29, 2820-2828, 2016
72016
Spectral Learning of Hidden Markov Models from Dynamic and Static Data
TK Huang, J Schneider
The 30th International Conference on Machine Learning, 2013
72013
Learning bi-clustered vector autoregressive models
TK Huang, J Schneider
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
52012
Learning hidden Markov models from non-sequence data via tensor decomposition
TK Huang, J Schneider
Advances in Neural Information Processing Systems 26, 333-341, 2013
42013
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Articles 1–20