Zhiyun Lu

35 papers A* 3A 3B 1Misc 5Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
AXLearn: Modular Large Model Training on Heterogeneous Infrastructure.
CoRR
Mark Lee, Tom Gunter, Chang Lan, John Peebles, Hanzhi Zhou, Kelvin Zou, Sneha Bangalore, Chung-Cheng Chiu, Nan Du, Xianzhi Du, Philipp Dufter, Ruixuan Hou, Haoshuo Huang, Dongseong Hwang, Xiang Kong, Jinhao Lei, Tao Lei, Meng Li, Li Li, Jiarui Lu, Zhiyun Lu, Yiping Ma, David Qiu, Vivek Rathod, Senyu Tong, Zhucheng Tu, Jianyu Wang, Yongqiang Wang, Zirui Wang, Floris Weers, Sam Wiseman, Guoli Yin, Bowen Zhang, Xiyou Zhou, Danyang Zhuo, Cheng Leong, Ruoming Pang
2025 J jnl
Data-Centric Lessons To Improve Speech-Language Pretraining.
CoRR
Vishaal Udandarao, Zhiyun Lu, Xuankai Chang, Yongqiang Wang, Violet Z. Yao, Albin Madapally Jose, Fartash Faghri, Josh Gardner, Chung-Cheng Chiu
2025 A* conf
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.
ICLR
Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao
2025 A* conf
Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics.
ICLR
Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Shinji Watanabe
2025 J jnl
Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics.
CoRR
Siddhant Arora, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Shinji Watanabe
2024 — conf
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.
ACL (1)
Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen
2024 J jnl
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.
CoRR
Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen
2024 J jnl
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.
CoRR
Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao
2023 J jnl
Instruction-Following Speech Recognition.
CoRR
Cheng-I Jeff Lai, Zhiyun Lu, Liangliang Cao, Ruoming Pang
2023 J jnl
Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness.
CoRR
Liangliang Cao, Bowen Zhang, Chen Chen, Yinfei Yang, Xianzhi Du, Wencong Zhang, Zhiyun Lu, Yantao Zheng
2022 A conf
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR.
INTERSPEECH
W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen
2022 J jnl
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR.
CoRR
W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Rohit Prabhavalkar, Tara N. Sainath, Cyril Allauzen, Cal Peyser, Zhiyun Lu
2022 Misc conf
Improving the Fusion of Acoustic and Text Representations in RNN-T.
ICASSP
Chao Zhang, Bo Li, Zhiyun Lu, Tara N. Sainath, Shuo-Yiin Chang
2022 J jnl
Improving the fusion of acoustic and text representations in RNN-T.
CoRR
Chao Zhang, Bo Li, Zhiyun Lu, Tara N. Sainath, Shuo-Yiin Chang
2022 J jnl
The effect of snow damage on self-organization in a primary subtropical evergreen broadleaved forest in Southwest China.
Ecol. Informatics
Jing Zhang, Chenna Sun, Qinghai Song, Yiping Zhang, Sadia Bibi, Zhiyun Lu, Hui Yu, Liqing Sha, Wenjun Zhou, Palingamoorthy Gnanamoorthy
2022 A conf
Unsupervised Data Selection via Discrete Speech Representation for ASR.
INTERSPEECH
Zhiyun Lu, Yongqiang Wang, Yu Zhang, Wei Han, Zhehuai Chen, Parisa Haghani
2021 A conf
Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models.
Interspeech
Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
2021 J jnl
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models.
CoRR
Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
2021 Misc conf
Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data.
ICASSP
Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
2021 J jnl
Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition.
CoRR
Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman
2020 B conf
A Large Scale Speech Sentiment Corpus.
LREC
Eric Chen, Zhiyun Lu, Hao Xu, Liangliang Cao, Yu Zhang, James Fan
2020 J jnl
Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data.
CoRR
Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
2020 Misc conf
Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models.
ICASSP
Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan
2020 J jnl
Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation.
CoRR
Zhiyun Lu, Eugene Ie, Fei Sha
2019 A* conf
Hyper-parameter Tuning under a Budget Constraint.
IJCAI
Zhiyun Lu, Liyu Chen, Chao-Kai Chiang, Fei Sha
2019 J jnl
Hyper-parameter Tuning under a Budget Constraint.
CoRR
Zhiyun Lu, Chao-Kai Chiang, Fei Sha
2019 J jnl
Kernel Approximation Methods for Speech Recognition.
J. Mach. Learn. Res.
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
2019 J jnl
Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models.
CoRR
Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan
2017 J jnl
Kernel Approximation Methods for Speech Recognition.
CoRR
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
2016 J jnl
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition.
CoRR
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016 Misc conf
A comparison between deep neural nets and kernel acoustic models for speech recognition.
ICASSP
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2016 J jnl
Learning Compact Recurrent Neural Networks.
CoRR
Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath
2016 Misc conf
Learning compact recurrent neural networks.
ICASSP
Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath
2014 J jnl
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets.
CoRR
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha
2012 — conf
Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching.
ICANN (2)
Zhiyun Lu, Zhirong Yang, Erkki Oja