Wei Ping

According to our database, Wei Ping authored at least 49 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities.

Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro

CoRR, 2024

ChatQA: Building GPT-4 Level Conversational QA Models.

Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2024

2023

Numerical simulation of ozonation in hollow-fiber membranes for wastewater treatment.

Xiang Wang, Wei Ping, Ahmed Salah Al-Shati

Eng. Appl. Artif. Intell., 2023

VILA: On Pre-training for Visual Language Models.

Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han

CoRR, 2023

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.

Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2023

Retrieval meets Long Context Large Language Models.

Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2023

CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram.

Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro

CoRR, 2023

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models.

Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro

CoRR, 2023

Defending against Adversarial Audio via Diffusion Model.

Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BigVGAN: A Universal Neural Vocoder with Large-Scale Training.

Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.

Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.

Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

FlowGrad: Controlling the Output of Generative ODEs with Gradients.

Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Defending against Insertion-based Textual Backdoor Attacks via Attribution.

Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Factuality Enhanced Language Models for Open-Ended Text Generation.

Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2022

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.

Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Factuality Enhanced Language Models for Open-Ended Text Generation.

Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale Fung, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Speech Denoising in the Waveform Domain With Self-Attention.

Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro

Proceedings of the IEEE International Conference on Acoustics, 2022

One TTS Alignment to Rule Them All.

Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro

Proceedings of the IEEE International Conference on Acoustics, 2022

Evaluating Parameter Efficient Learning for Generation.

Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi-Stage Prompting for Knowledgeable Dialogue Generation.

Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Phase separation in synthetic biology.

Shi Shuyu, Si Wen, Ouyang Xiaoyi, Wei Ping

Quant. Biol., December, 2021

On Fast Sampling of Diffusion Probabilistic Models.

Zhifeng Kong, Wei Ping

CoRR, 2021

Long-Short Transformer: Efficient Transformers for Language and Vision.

Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DiffWave: A Versatile Diffusion Model for Audio Synthesis.

Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro

Proceedings of the 9th International Conference on Learning Representations, 2021

End-to-End Training of Neural Retrievers for Open-Domain Question Answering.

Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Local Knowledge Powered Conversational Agents.

Sashank Santhanam, Wei Ping, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro

CoRR, 2020

WaveFlow: A Compact Flow-based Model for Raw Audio.

Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song

Proceedings of the 37th International Conference on Machine Learning, 2020

Non-Autoregressive Neural Text-to-Speech.

Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Multi-Speaker End-to-End Speech Synthesis.

Jihyun Park, Kexin Zhao, Kainan Peng, Wei Ping

CoRR, 2019

Parallel Neural Text-to-Speech.

Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao

CoRR, 2019

ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech.

Wei Ping, Kainan Peng, Jitong Chen

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Cancer Metastasis Detection With Neural Conditional Random Field.

Yi Li, Wei Ping

CoRR, 2018

Neural Voice Cloning with a Few Samples.

Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning.

Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller

Proceedings of the 6th International Conference on Learning Representations, 2018

Large Margin Neural Language Model.

Jiaji Huang, Yi Li, Wei Ping, Liang Huang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Topic Compositional Neural Language Model.

Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Deep Voice 3: 2000-Speaker Neural Text-to-Speech.

Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller

CoRR, 2017

Deep Voice 2: Multi-Speaker Neural Text-to-Speech.

Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Belief Propagation in Conditional RBMs for Structured Prediction.

Wei Ping, Alexander Ihler

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Learning and Inference in Latent Variable Graphical Models.

Wei Ping

PhD thesis, 2016

Learning Infinite RBMs with Frank-Wolfe.

Wei Ping, Qiang Liu, Alexander Ihler

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Decomposition Bounds for Marginal MAP.

Wei Ping, Qiang Liu, Alexander Ihler

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Marginal Structured SVM with Hidden Variables.

Wei Ping, Qiang Liu, Alexander Ihler

Proceedings of the 31th International Conference on Machine Learning, 2014

2011

FAMER: Making Multi-Instance Learning Better and Faster.

Wei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Million-scale near-duplicate video retrieval system.

Yang Cai, Linjun Yang, Wei Ping, Fei Wang, Tao Mei, Xian-Sheng Hua, Shipeng Li

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Multi-instance Metric Learning.

Ye Xu, Wei Ping, Andrew T. Campbell

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

TAKES: a fast method to select features in the kernel space.

Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace.

Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Furao Shen

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010