Wei Ping

Principal Research Scientist
Santa Clara, CA

Email: wping at nvidia dot com

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About me

I am a principal research scientist at NVIDIA Applied Deep Learning Research, working on machine learning, speech and NLP. Before that, I was the TTS Team Lead at Baidu Research. I obtained my PhD in computer science from University of California, Irvine in 2016. I am passionate about building the state-of-the-art generative models for various domains, including audio, text and video.


Selected Publications

* My student intern

Long-Short Transformer: Efficient transformers for language and vision. [code]  NeurIPS 2021.
Chen Zhu*, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro.

DiffWave: A versatile diffusion model for audio synthesis. [project]  ICLR 2021 (Oral).
Zhifeng Kong*, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro.

WaveFlow: A compact flow-based model for raw audio. [project]  ICML 2020.
Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song.

Non-autoregressive neural text-to-speech. [demo]  ICML 2020.
Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao.

ClariNet: Parallel wave generation in end-to-end text-to-speech. [demo]  ICLR 2019.
Wei Ping, Kainan Peng, Jitong Chen.

Deep Voice 3: Scaling text-to-speech with convolutional sequence learning. [demo][more samples]  ICLR 2018.
Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan O. Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller.

Neural voice cloning with a few samples[demo]  NeurIPS 2018.
Sercan O. Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou.

Deep Voice 2: Multi-speaker neural text-to-speech[demo]  NIPS 2017.
Sercan O. Arik, Gregory Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou.

Learning infinite RBMs with Frank-WolfeNIPS 2016.
Wei Ping, Qiang Liu, Alexander Ihler.

Decomposition bounds for marginal MAP.  NIPS 2015.
Wei Ping, Qiang Liu, Alexander Ihler.

Marginal structured SVM with hidden variables.  ICML 2014.
Wei Ping, Qiang Liu, Alexander Ihler.