| DiffWave: A versatile diffusion model for audio synthesis Z Kong, W Ping, J Huang, K Zhao, B Catanzaro ICLR 2021, 2021 | 1043 | 2021 |
| Deep Voice 3: Scaling text-to-speech with convolutional sequence learning W Ping, K Peng, A Gibiansky, SO Arik, A Kannan, S Narang, J Raiman, ... ICLR 2018, 2018 | 861* | 2018 |
| Deep Voice 2: Multi-speaker neural text-to-speech (α-β), S Arik, G Diamos, A Gibiansky, J Miller, K Peng, W Ping, J Raiman, ... NeurIPS 2017, 2017 | 625* | 2017 |
| Neural voice cloning with a few samples (α-β), S Arik, J Chen, K Peng, W Ping, Y Zhou NeurIPS 2018, 2018 | 420* | 2018 |
| ClariNet: Parallel wave generation in end-to-end text-to-speech W Ping, K Peng, J Chen ICLR 2019, 2019 | 402 | 2019 |
| On fast sampling of diffusion probabilistic models Z Kong, W Ping ICML 2021 Workshop on Invertible Neural Networks, Normalizing Flows, and …, 2021 | 160 | 2021 |
| Non-autoregressive neural text-to-speech K Peng, W Ping, Z Song, K Zhao ICML 2020, 2019 | 150* | 2019 |
| WaveFlow: A compact flow-based model for raw audio W Ping, K Peng, K Zhao, Z Song ICML 2020, 2020 | 131 | 2020 |
| Cancer metastasis detection with neural conditional random field Y Li, W Ping Medical Imaging with Deep Learning, 2018 | 120 | 2018 |
| Long-short transformer: Efficient transformers for language and vision C Zhu, W Ping, C Xiao, M Shoeybi, T Goldstein, A Anandkumar, ... NeurIPS 2021, 2021 | 116 | 2021 |
| BigVGAN: A universal neural vocoder with large-scale training S Lee, W Ping, B Ginsburg, B Catanzaro, S Yoon ICLR 2023, 2022 | 108 | 2022 |
| Factuality enhanced language models for open-ended text generation N Lee, W Ping, P Xu, M Patwary, M Shoeybi, B Catanzaro NeurIPS 2022, 2022 | 102 | 2022 |
| Topic compositional neural language model W Wang, Z Gan, W Wang, D Shen, J Huang, W Ping, S Satheesh, L Carin AISTATS 2018, 2017 | 90 | 2017 |
| End-to-end training of neural retrievers for open-domain question answering DS Sachan, M Patwary, M Shoeybi, N Kant, W Ping, WL Hamilton, ... ACL 2021, 2021 | 84 | 2021 |
| Systems and methods for multi-speaker neural text-to-speech SO Arik, G Diamos, A Gibiansky, J Miller, K Peng, W Ping, J Raiman, ... US Patent App. 15/974,397, 2018 | 68* | 2018 |
| One TTS alignment to rule them all R Badlani, A Łancucki, KJ Shih, R Valle, W Ping, B Catanzaro ICASSP 2022, 2021 | 65 | 2021 |
| Million-scale near-duplicate video retrieval system Y Cai, L Yang, W Ping, F Wang, T Mei, XS Hua, S Li ACM Multimedia 2011, 2011 | 49 | 2011 |
| Speech denoising in the waveform domain with self-attention Z Kong, W Ping, A Dantrey, B Catanzaro ICASSP 2022, 2022 | 48 | 2022 |
| Retrieval meets long context large language models P Xu, W Ping, X Wu, L McAfee, C Zhu, Z Liu, S Subramanian, ... ICLR 2024, 2023 | 44 | 2023 |
| RAD-TTS: Parallel flow-based TTS with robust alignment learning and diverse synthesis KJ Shih, R Valle, R Badlani, A Lancucki, W Ping, B Catanzaro ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021 | 42 | 2021 |
