W. Ronny Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2019–2024
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICASSP | Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. | W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath |
| 2023 | ASRU | Audio-Adapterfusion: A Task-Id-Free Approach for Efficient and Non-Destructive Multi-Task Speech Recognition. | Hillary Ngai, Rohan Agrawal, Neeraj Gaur, W. Ronny Huang, Parisa Haghani, Pedro Moreno Mengibar |
| 2023 | ICASSP | Large-Scale Language Model Rescoring on Long-Form Data. | 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 |
| 2023 | ICASSP | E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. | W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman |
| 2023 | ICASSP | A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. | Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath |
| 2023 | Interspeech | Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. | W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath |
| 2022 | ICASSP | Improving The Latency And Quality Of Cascaded Encoders. | 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 |
| 2022 | ICASSP | Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. | Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews |
| 2022 | Interspeech | 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 |
| 2022 | Interspeech | Detecting Unintended Memorization in Language-Model-Fused ASR. | W. Ronny Huang, Steve Chien, Om Dipakbhai Thakkar, Rajiv Mathews |
| 2022 | Interspeech | Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. | W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar |
| 2022 | Interspeech | Towards Disentangled Speech Representations. | Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho |
| 2022 | Interspeech | Improving Rare Word Recognition with LM-aware MWER Training. | 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 |
| 2021 | ASRU | Scaling End-to-End Models for Large-Scale Multilingual ASR. | Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai |
| 2021 | ICLR | Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. | Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein |
| 2021 | Interspeech | Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. | W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman |
| 2020 | ECCV | Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. | Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson |
| 2020 | ICML | The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. | Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein |
| 2020 | WACV | DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. | Yike Qi, W. Ronny Huang, Qianqian Li, Jonathan L. DeGange |
| 2019 | ICLR | Are adversarial examples inevitable? | Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein |
| 2019 | ICML | Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. | Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein |