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W. Ronny Huang
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2020 – today
- 2024
- [c27]W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath:
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. ICASSP 2024: 13306-13310 - [i27]W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath:
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. CoRR abs/2401.12789 (2024) - 2023
- [c26]Hillary Ngai, Rohan Agrawal, Neeraj Gaur, W. Ronny Huang, Parisa Haghani, Pedro Moreno Mengibar:
Audio-Adapterfusion: A Task-Id-Free Approach for Efficient and Non-Destructive Multi-Task Speech Recognition. ASRU 2023: 1-8 - [c25]Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley:
Large-Scale Language Model Rescoring on Long-Form Data. ICASSP 2023: 1-5 - [c24]W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman:
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. ICASSP 2023: 1-5 - [c23]Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath:
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. ICASSP 2023: 1-5 - [c22]W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath:
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. INTERSPEECH 2023: 2778-2782 - [i26]Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho:
Dual Learning for Large Vocabulary On-Device ASR. CoRR abs/2301.04327 (2023) - [i25]Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath:
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. CoRR abs/2304.11053 (2023) - [i24]W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath:
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. CoRR abs/2305.18419 (2023) - [i23]Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley:
Large-scale Language Model Rescoring on Long-form Data. CoRR abs/2306.08133 (2023) - [i22]Hillary Ngai, Rohan Agrawal, Neeraj Gaur, W. Ronny Huang, Parisa Haghani, Pedro Moreno Mengibar:
Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition. CoRR abs/2310.13015 (2023) - 2022
- [c21]Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews:
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. ICASSP 2022: 6097-6101 - [c20]Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang:
Improving The Latency And Quality Of Cascaded Encoders. ICASSP 2022: 8112-8116 - [c19]W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar:
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH 2022: 689-693 - [c18]Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach:
Improving Rare Word Recognition with LM-aware MWER Training. INTERSPEECH 2022: 1031-1035 - [c17]W. Ronny Huang, Steve Chien, Om Dipakbhai Thakkar, Rajiv Mathews:
Detecting Unintended Memorization in Language-Model-Fused ASR. INTERSPEECH 2022: 2808-2812 - [c16]Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. INTERSPEECH 2022: 3603-3607 - [c15]W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen:
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. INTERSPEECH 2022: 4995-4999 - [c14]Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno:
Modular Hybrid Autoregressive Transducer. SLT 2022: 197-204 - [c13]Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar
, Michael Picheny, Kyunghyun Cho:
Dual Learning for Large Vocabulary On-Device ASR. SLT 2022: 245-251 - [i21]Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews:
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. CoRR abs/2202.08171 (2022) - [i20]W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar:
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR abs/2203.05008 (2022) - [i19]Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach:
Improving Rare Word Recognition with LM-aware MWER Training. CoRR abs/2204.07553 (2022) - [i18]W. Ronny Huang, Steve Chien, Om Thakkar, Rajiv Mathews:
Detecting Unintended Memorization in Language-Model-Fused ASR. CoRR abs/2204.09606 (2022) - [i17]W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Rohit Prabhavalkar, Tara N. Sainath, Cyril Allauzen, Cal Peyser, Zhiyun Lu:
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. CoRR abs/2204.10749 (2022) - [i16]Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. CoRR abs/2208.13191 (2022) - [i15]Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno:
Modular Hybrid Autoregressive Transducer. CoRR abs/2210.17049 (2022) - [i14]W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman:
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. CoRR abs/2211.15432 (2022) - 2021
- [c12]Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai
Scaling End-to-End Models for Large-Scale Multilingual ASR. ASRU 2021: 1011-1018 - [c11]Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein:
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. ICLR 2021 - [c10]W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. Interspeech 2021: 2002-2006 - [c9]Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein:
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. NeurIPS 2021: 16410-16422 - [i13]Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein:
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. CoRR abs/2102.08098 (2021) - [i12]W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman:
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. CoRR abs/2104.04552 (2021) - [i11]Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma:
Scaling End-to-End Models for Large-Scale Multilingual ASR. CoRR abs/2104.14830 (2021) - 2020
- [c8]Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson:
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. ECCV Workshops (1) 2020: 55-70 - [c7]W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein:
Understanding Generalization Through Visualizations. ICBINB@NeurIPS 2020: 87-97 - [c6]Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein:
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. ICML 2020: 8469-8479 - [c5]W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein:
MetaPoison: Practical General-purpose Clean-label Data Poisoning. NeurIPS 2020 - [c4]Yike Qi, W. Ronny Huang, Qianqian Li, Jonathan L. DeGange:
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. WACV 2020: 3511-3519 - [i10]W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein:
MetaPoison: Practical General-purpose Clean-label Data Poisoning. CoRR abs/2004.00225 (2020) - [i9]Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein:
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. CoRR abs/2009.02276 (2020)
2010 – 2019
- 2019
- [c3]Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein:
Are adversarial examples inevitable? ICLR (Poster) 2019 - [c2]Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein:
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. ICML 2019: 7614-7623 - [i8]Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein:
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. CoRR abs/1904.06963 (2019) - [i7]Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein:
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. CoRR abs/1905.05897 (2019) - [i6]W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein:
Understanding Generalization through Visualizations. CoRR abs/1906.03291 (2019) - [i5]Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson:
Strong Baseline Defenses Against Clean-Label Poisoning Attacks. CoRR abs/1909.13374 (2019) - [i4]W. Ronny Huang, Yike Qi, Qianqian Li, Jonathan L. DeGange:
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. CoRR abs/1910.07070 (2019) - 2018
- [c1]Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein:
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. NeurIPS 2018: 6106-6116 - [i3]Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein:
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. CoRR abs/1804.00792 (2018) - [i2]Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein:
Are adversarial examples inevitable? CoRR abs/1809.02104 (2018) - [i1]W. Ronny Huang, Miguel A. Perez:
Accurate, Data-Efficient Learning from Noisy, Choice-Based Labels for Inherent Risk Scoring. CoRR abs/1811.10791 (2018)
Coauthor Index
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