Wei Ping

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 64

Top Venues

CoRR

NeurIPS

EMNLP

NIPS

University of California, Irvine, USA (PHD)

Education History

University of California, Irvine, USA

PHD

Publications

Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro
ChatQA: Building GPT-4 Level Conversational QA Models. CoRR (2024)
Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. CoRR (2024)
Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR (2023)
Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. CoRR (2023)
Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu
FlowGrad: Controlling the Output of Generative ODEs with Gradients. CVPR (2023)
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR (2023)
Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR (2023)
Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP (2023)
Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
Defending against Adversarial Audio via Diffusion Model. ICLR (2023)
Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han
VILA: On Pre-training for Visual Language Models. CoRR (2023)
Xiang Wang, Wei Ping, Ahmed Salah Al-Shati
Numerical simulation of ozonation in hollow-fiber membranes for wastewater treatment. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran
Defending against Insertion-based Textual Backdoor Attacks via Attribution. CoRR (2023)
Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro
CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. CoRR (2023)
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
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) (2023)
Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
Defending against Adversarial Audio via Diffusion Model. CoRR (2023)
Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran
Defending against Insertion-based Textual Backdoor Attacks via Attribution. ACL (Findings) (2023)
Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR (2023)
Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro
Retrieval meets Long Context Large Language Models. CoRR (2023)
Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR (2022)
Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro
Speech Denoising in the Waveform Domain with Self-Attention. CoRR (2022)
Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale Fung, Mohammad Shoeybi, Bryan Catanzaro
Factuality Enhanced Language Models for Open-Ended Text Generation. NeurIPS (2022)
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. NeurIPS (2022)
Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. CoRR (2022)
Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
One TTS Alignment to Rule Them All. ICASSP (2022)
Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro
Multi-Stage Prompting for Knowledgeable Dialogue Generation. CoRR (2022)
Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan J. Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro
Evaluating Parameter Efficient Learning for Generation. CoRR (2022)
Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro
Evaluating Parameter Efficient Learning for Generation. EMNLP (2022)
Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
Factuality Enhanced Language Models for Open-Ended Text Generation. CoRR (2022)
Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro
Multi-Stage Prompting for Knowledgeable Dialogue Generation. ACL (Findings) (2022)
Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro
Speech Denoising in the Waveform Domain With Self-Attention. ICASSP (2022)
Shi Shuyu, Si Wen, Ouyang Xiaoyi, Wei Ping
Phase separation in synthetic biology. Quant. Biol. 9 (4) (2021)
Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro
Long-Short Transformer: Efficient Transformers for Language and Vision. CoRR (2021)
Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
One TTS Alignment To Rule Them All. CoRR (2021)
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR (2021)
Zhifeng Kong, Wei Ping
On Fast Sampling of Diffusion Probabilistic Models. CoRR (2021)
Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro
Long-Short Transformer: Efficient Transformers for Language and Vision. NeurIPS (2021)
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. ACL/IJCNLP (1) (2021)
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
DiffWave: A Versatile Diffusion Model for Audio Synthesis. ICLR (2021)
Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
WaveFlow: A Compact Flow-based Model for Raw Audio. ICML (2020)
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
DiffWave: A Versatile Diffusion Model for Audio Synthesis. CoRR (2020)
Sashank Santhanam, Wei Ping, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro
Local Knowledge Powered Conversational Agents. CoRR (2020)
Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
Non-Autoregressive Neural Text-to-Speech. ICML (2020)
Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
WaveFlow: A Compact Flow-based Model for Raw Audio. CoRR (2019)
Jihyun Park, Kexin Zhao, Kainan Peng, Wei Ping
Multi-Speaker End-to-End Speech Synthesis. CoRR (2019)
Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
Parallel Neural Text-to-Speech. CoRR (2019)
Wei Ping, Kainan Peng, Jitong Chen
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. ICLR (Poster) (2019)
Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
Neural Voice Cloning with a Few Samples. CoRR (2018)
Jiaji Huang, Yi Li, Wei Ping, Liang Huang
Large Margin Neural Language Model. EMNLP (2018)
Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. ICLR (Poster) (2018)
Wei Ping, Kainan Peng, Jitong Chen
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. CoRR (2018)
Jiaji Huang, Yi Li, Wei Ping, Liang Huang
Large Margin Neural Language Model. CoRR (2018)
Yi Li, Wei Ping
Cancer Metastasis Detection With Neural Conditional Random Field. CoRR (2018)
Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
Topic Compositional Neural Language Model. AISTATS (2018)
Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
Neural Voice Cloning with a Few Samples. NeurIPS (2018)
Wei Ping, Alexander T. Ihler
Belief Propagation in Conditional RBMs for Structured Prediction. AISTATS (2017)
Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS (2017)
Wei Ping, Alexander T. Ihler
Belief Propagation in Conditional RBMs for Structured Prediction. CoRR (2017)
Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR (2017)
Wei Ping, Qiang Liu, Alexander T. Ihler
Learning Infinite RBMs with Frank-Wolfe. CoRR (2017)
Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
Deep Voice 3: 2000-Speaker Neural Text-to-Speech. CoRR (2017)
Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
Topic Compositional Neural Language Model. CoRR (2017)
Wei Ping, Qiang Liu, Alexander T. Ihler
Learning Infinite RBMs with Frank-Wolfe. NIPS (2016)
Wei Ping, Qiang Liu, Alexander T. Ihler
Decomposition Bounds for Marginal MAP. NIPS (2015)
Wei Ping, Qiang Liu, Alexander T. Ihler
Decomposition Bounds for Marginal MAP. CoRR (2015)
Wei Ping, Qiang Liu, Alexander T. Ihler
Marginal Structured SVM with Hidden Variables. ICML (2014)
Wei Ping, Qiang Liu, Alexander T. Ihler
Marginal Structured SVM with Hidden Variables. CoRR (2014)
Wei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua
FAMER: Making Multi-Instance Learning Better and Faster. SDM (2011)
Yang Cai, Linjun Yang, Wei Ping, Fei Wang, Tao Mei, Xian-Sheng Hua, Shipeng Li
Million-scale near-duplicate video retrieval system. ACM Multimedia (2011)
Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao
TAKES: a fast method to select features in the kernel space. CIKM (2011)
Ye Xu, Wei Ping, Andrew T. Campbell
Multi-instance Metric Learning. ICDM (2011)
Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Shen Furao
Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace. AAAI (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wei Ping