Zhiyun Lu

According to our database, Zhiyun Lu authored at least 21 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen

CoRR, 2024

2023

Instruction-Following Speech Recognition.

Cheng-I Jeff Lai, Zhiyun Lu, Liangliang Cao, Ruoming Pang

CoRR, 2023

Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness.

Liangliang Cao, Bowen Zhang, Chen Chen, Yinfei Yang, Xianzhi Du, Wencong Zhang, Zhiyun Lu, Yantao Zheng

CoRR, 2023

2022

The effect of snow damage on self-organization in a primary subtropical evergreen broadleaved forest in Southwest China.

Jing Zhang, Chenna Sun, Qinghai Song, Yiping Zhang, Sadia Bibi, Zhiyun Lu, Hui Yu, Liqing Sha, Wenjun Zhou, Palingamoorthy Gnanamoorthy

Ecol. Informatics, 2022

Unsupervised Data Selection via Discrete Speech Representation for ASR.

Zhiyun Lu, Yongqiang Wang, Yu Zhang, Wei Han, Zhehuai Chen, Parisa Haghani

Proceedings of the Interspeech 2022, 2022

E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR.

W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen

Proceedings of the Interspeech 2022, 2022

Improving the Fusion of Acoustic and Text Representations in RNN-T.

Chao Zhang, Bo Li, Zhiyun Lu, Tara N. Sainath, Shuo-Yiin Chang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition.

Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman

CoRR, 2021

Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models.

Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao

CoRR, 2021

Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models.

Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data.

Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation.

Zhiyun Lu, Eugene Ie, Fei Sha

CoRR, 2020

A Large Scale Speech Sentiment Corpus.

Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models.

Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Kernel Approximation Methods for Speech Recognition.

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

J. Mach. Learn. Res., 2019

Hyper-parameter Tuning under a Budget Constraint.

Zhiyun Lu, Chao-Kai Chiang, Fei Sha

CoRR, 2019

Hyper-parameter Tuning under a Budget Constraint.

Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2016

Learning compact recurrent neural networks.

Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A comparison between deep neural nets and kernel acoustic models for speech recognition.

Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets.

Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

CoRR, 2014

2012

Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching.

Zhiyun Lu, Zhirong Yang, Erkki Oja

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012