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2020 – today
- 2021
[c7]Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao:
Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. ICASSP 2021: 6558-6562- [i9]Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao:
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models. CoRR abs/2104.02757 (2021) - 2020
- [c6]Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan:
Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. ICASSP 2020: 7149-7153 - [c5]Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan:
A Large Scale Speech Sentiment Corpus. LREC 2020: 6549-6555 - [i8]Zhiyun Lu, Eugene Ie, Fei Sha:
Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation. CoRR abs/2006.07584 (2020) - [i7]Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao:
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data. CoRR abs/2010.12096 (2020)
2010 – 2019
- 2019
- [j1]Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha:
Kernel Approximation Methods for Speech Recognition. J. Mach. Learn. Res. 20: 59:1-59:36 (2019) - [c4]Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha:
Hyper-parameter Tuning under a Budget Constraint. IJCAI 2019: 5744-5750 - [i6]Zhiyun Lu, Chao-Kai Chiang, Fei Sha:
Hyper-parameter Tuning under a Budget Constraint. CoRR abs/1902.00532 (2019) - [i5]Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan:
Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models. CoRR abs/1911.09762 (2019) - 2017
- [i4]Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel J. Hsu, Brian Kingsbury, Michael Picheny, Fei Sha:
Kernel Approximation Methods for Speech Recognition. CoRR abs/1701.03577 (2017) - 2016
- [c3]Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
A comparison between deep neural nets and kernel acoustic models for speech recognition. ICASSP 2016: 5070-5074 - [c2]Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath:
Learning compact recurrent neural networks. ICASSP 2016: 5960-5964 - [i3]Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition. CoRR abs/1603.05800 (2016) - [i2]Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath:
Learning Compact Recurrent Neural Networks. CoRR abs/1604.02594 (2016) - 2014
- [i1]Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha:
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. CoRR abs/1411.4000 (2014) - 2012
- [c1]Zhiyun Lu, Zhirong Yang
, Erkki Oja:
Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. ICANN (2) 2012: 419-426
Coauthor Index
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