Kuan Liu
Kuan Liu
Google, Information Sciences Institute, University of Southern California
Verified email at usc.edu - Homepage
Cited by
Cited by
Learn to combine modalities in multimodal deep learning
K Liu, Y Li, N Xu, P Natarajan
arXiv preprint arXiv:1805.11730, 2018
How to scale up kernel methods to be as good as deep neural nets
Z Lu, A May, K Liu, AB Garakani, D Guo, A Bellet, L Fan, M Collins, ...
arXiv preprint arXiv:1411.4000, 2014
Similarity learning for high-dimensional sparse data
K Liu, A Bellet, F Sha
Artificial Intelligence and Statistics, 653-662, 2015
Similarity component analysis
S Changpinyo, K Liu, F Sha
Advances in neural information processing systems 26, 1511-1519, 2013
Kernel Approximation Methods for Speech Recognition.
A May, AB Garakani, Z Lu, D Guo, K Liu, A Bellet, L Fan, M Collins, D Hsu, ...
J. Mach. Learn. Res. 20, 59:1-59:36, 2019
Temporal learning and sequence modeling for a job recommender system
K Liu, X Shi, A Kumar, L Zhu, P Natarajan
Proceedings of the Recommender Systems Challenge, 1-4, 2016
A comparison between deep neural nets and kernel acoustic models for speech recognition
Z Lu, D Quo, AB Garakani, K Liu, A May, A Bellet, L Fan, M Collins, ...
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Sequential heterogeneous attribute embedding for item recommendation
K Liu, X Shi, P Natarajan
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 773-780, 2017
Escaping the curse of dimensionality in similarity learning: Efficient Frank-Wolfe algorithm and generalization bounds
K Liu, A Bellet
Neurocomputing 333, 185-199, 2019
WMRB: Learning to Rank in a Scalable Batch Training Approach
K Liu, P Natarajan
Recsys 2017: 11th ACM Conference on Recommender Systems, 2017
A Batch Learning Framework for Scalable Personalized Ranking
K Liu, P Natarajan
AAAI 2018: Thirty-Second AAAI conference on Artificial Intelligence, 2018
Scalable Machine Learning Algorithms for Item Recommendation
K Liu
University of Southern California, 2018
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