Hi! I am a Ph.D. student advised by Prof. Prem Natarajan. My research focus is on Machine Learning. My research interests include large scale optimization, metric learning, deep learning, kernel methods. I am also interested in Recommender systems, Network analysis, and Natural Language Processing.
News
- Feb.17: Released our Tensorflow based toolkit for implicit recommendation algorithms. Feel free to give a try! github repo
- Dec.16: Journal submission Kernel Approximation Methods for Speech Recognition is on arXiv .
- June. 16: Achieved 5th place in ACM Recsys Challenge 2016! Check our paper here .
Technical reports
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Kernel Approximation Methods for Speech Recognition
(under journal review)
[arXiv]
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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
[arXiv]
Publications
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Temporal Learning and Sequence Modeling for a Job Recommender System
[arXiv]
[github]
[slides]
Kuan Liu, Xing Shi, Anoop Kumar, Linhong Zhu, Prem Natarajan. in RecSys Challenge 2016.
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A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition
[pdf]
Zhiyun Lu*, Dong Guo*, Alireza Bagheri Garakani*, Kuan Liu*, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha. in ICASSP 2016. (* : Equal Contribution)