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Ying Xiao (肖盈)
Ying Xiao (肖盈)
Twitter Cortex Applied Research
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Cited by
Year
TACOTRON: TOWARDS END-TO-END SPEECH SYNTHESIS
Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ...
arXiv preprint arXiv:1703.10135, 2017
1596*2017
Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Y Wang, D Stanton, Y Zhang, RJS Ryan, E Battenberg, J Shor, Y Xiao, ...
International Conference on Machine Learning, 5180-5189, 2018
5452018
Towards end-to-end prosody transfer for expressive speech synthesis with tacotron
RJ Skerry-Ryan, E Battenberg, Y Xiao, Y Wang, D Stanton, J Shor, ...
international conference on machine learning, 4693-4702, 2018
4322018
Statistical Algorithms and a Lower Bound for Detecting Planted Cliques
V Feldman, E Grigorescu, L Reyzin, SS Vempala, Y Xiao
230*
An investigation into neural net optimization via hessian eigenvalue density
B Ghorbani, S Krishnan, Y Xiao
International Conference on Machine Learning, 2232-2241, 2019
1622019
Compact random feature maps
R Hamid, Y Xiao, A Gittens, D DeCoste
International conference on machine learning, 19-27, 2014
832014
Fourier PCA and robust tensor decomposition
N Goyal, S Vempala, Y Xiao
Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014
82*2014
Towards unconstrained end-to-end text spotting
S Qin, A Bissacco, M Raptis, Y Fujii, Y Xiao
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
802019
Uncovering latent style factors for expressive speech synthesis
Y Wang, RJ Skerry-Ryan, Y Xiao, D Stanton, J Shor, E Battenberg, ...
arXiv preprint arXiv:1711.00520, 2017
642017
Fourier pca and robust tensor decomposition
N Goyal, S Vempala, Y Xiao
arXiv preprint arXiv:1306.5825, 2013
342013
Complexity of learning subspace juntas and ICA
S Vempala, Y Xiao
2013 Asilomar Conference on Signals, Systems and Computers, 320-324, 2013
32*2013
Neumann Optimizer: A Practical Optimizer for Deep Neural Networks
S Krishnan, Y Xiao, RA Saurous
17*2018
Max vs min: Tensor decomposition and ICA with nearly linear sample complexity
SS Vempala, Y Xiao
Conference on Learning Theory, 1710-1723, 2015
13*2015
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation
A El-Kishky, T Markovich, S Park, C Verma, B Kim, R Eskander, Y Malkov, ...
arXiv preprint arXiv:2202.05387, 2022
62022
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval
A El-Kishky, T Markovich, K Leung, F Portman, A Haghighi
arXiv preprint arXiv:2205.06205, 2022
32022
The effect of network depth on the optimization landscape
B Ghorbani, Y Xiao, S Krishnan
32019
Graph-based Representation Learning for Web-scale Recommender Systems
A El-Kishky, M Bronstein, Y Xiao, A Haghighi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
12022
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