Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. - Zhiyun Lu; Zhirong Yang; Erkki Oja (ICANN (2), 2012)

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 001; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2014)

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 001; Brian Kingsbury; Michael Picheny; Fei Sha (ICASSP, 2016)

Learning compact recurrent neural networks. - Zhiyun Lu; Vikas Sindhwani; Tara N. Sainath (ICASSP, 2016)

Hyper-parameter Tuning under a Budget Constraint. - Zhiyun Lu; Liyu Chen; Chao-Kai Chiang; Fei Sha (IJCAI, 2019)

Hyper-parameter Tuning under a Budget Constraint. - Zhiyun Lu; Chao-Kai Chiang; Fei Sha (CoRR, 2019)

Kernel Approximation Methods for Speech Recognition. - Avner May; Alireza Bagheri Garakani; Zhiyun Lu; Dong Guo; Kuan Liu; Aurélien Bellet; Linxi Fan; Michael Collins 001; Daniel Hsu 001; Brian Kingsbury; Michael Picheny; Fei Sha (J. Mach. Learn. Res., 2019)

Speech Sentiment Analysis via Pre-Trained Features from End-to-End ASR Models. - Zhiyun Lu; Liangliang Cao; Yu Zhang 033; Chung-Cheng Chiu; James Fan (ICASSP, 2020)

A Large Scale Speech Sentiment Corpus. - Eric Chen; Zhiyun Lu; Hao Xu; Liangliang Cao; Yu Zhang 033; James Fan (LREC, 2020)

Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation. - Zhiyun Lu; Eugene Ie; Fei Sha (CoRR, 2020)

Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. - Thibault Doutre; Wei Han 002; Min Ma; Zhiyun Lu; Chung-Cheng Chiu; Ruoming Pang; Arun Narayanan; Ananya Misra; Yu Zhang 033; Liangliang Cao (ICASSP, 2021)

Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models. - Zhiyun Lu; Wei Han 002; Yu Zhang 033; Liangliang Cao (Interspeech, 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 031; Trevor Strohman (CoRR, 2021)

Improving the Fusion of Acoustic and Text Representations in RNN-T. - Chao Zhang 031; Bo Li 028; Zhiyun Lu; Tara N. Sainath; Shuo-Yiin Chang (ICASSP, 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 (INTERSPEECH, 2022)

Unsupervised Data Selection via Discrete Speech Representation for ASR. - Zhiyun Lu; Yongqiang Wang; Yu Zhang 033; Wei Han 002; Zhehuai Chen; Parisa Haghani (INTERSPEECH, 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)

Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness. - Liangliang Cao; Bowen Zhang 002; Chen Chen 005; Yinfei Yang; Xianzhi Du; Wencong Zhang; Zhiyun Lu; Yantao Zheng (CoRR, 2023)

Instruction-Following Speech Recognition. - Cheng-I Jeff Lai; Zhiyun Lu; Liangliang Cao; Ruoming Pang (CoRR, 2023)

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 001 (ACL (1), 2024)

Apple Intelligence Foundation Language Models. - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang 002; Chen Chen 005; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 2024)

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. - Aiwei Liu; Haoping Bai; Zhiyun Lu; Yanchao Sun; Xiang Kong; Simon Wang; Jiulong Shan; Albin Madappally Jose; Xiaojiang Liu; Lijie Wen 001; Philip S. Yu; Meng Cao (CoRR, 2024)

Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics. - Siddhant Arora; Zhiyun Lu; Chung-Cheng Chiu; Ruoming Pang; Shinji Watanabe 001 (ICLR, 2025)

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. - Aiwei Liu; Haoping Bai; Zhiyun Lu; Yanchao Sun; Xiang Kong; Xiaoming Simon Wang; Jiulong Shan; Albin Madappally Jose; Xiaojiang Liu; Lijie Wen 001; Philip S. Yu; Meng Cao (ICLR, 2025)

AXLearn: Modular Large Model Training on Heterogeneous Infrastructure. - 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; et al. (CoRR, 2025)