Wei Ping
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
12
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models. | Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro |
| 2025 | ACL | AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling. | Zihan Liu, Yang Chen, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping |
| 2025 | ICLR | NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. | Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping |
| 2025 | ICLR | Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS. | Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping |
| 2025 | ICLR | Fugatto 1: Foundational Generative Audio Transformer Opus 1. | Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, Joo Felipe Santos, Shuqi Dai, Siddharth Gururani, Aya Aljafari, Alexander H. Liu, Kevin J. Shih, Ryan Prenger, Wei Ping, Chao-Han Huck Yang, Bryan Catanzaro |
| 2025 | ICLR | ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. | Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro |
| 2025 | ICML | Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities. | Sreyan Ghosh, Zhifeng Kong, Sonal Kumar, S. Sakshi, Jaehyeon Kim, Wei Ping, Rafael Valle, Dinesh Manocha, Bryan Catanzaro |
| 2024 | CVPR | VILA: On Pre-training for Visual Language Models. | Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. | Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro |
| 2023 | ACL | Defending against Insertion-based Textual Backdoor Attacks via Attribution. | Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran |
| 2023 | CVPR | FlowGrad: Controlling the Output of Generative ODEs with Gradients. | Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICLR | BigVGAN: A Universal Neural Vocoder with Large-Scale Training. | Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon |
| 2023 | ICLR | Defending against Adversarial Audio via Diffusion Model. | Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao |
| 2023 | Interspeech | CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. | Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro |
| 2022 | ACL | Multi-Stage Prompting for Knowledgeable Dialogue Generation. | Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro |
| 2022 | EMNLP | Evaluating Parameter Efficient Learning for Generation. | Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro |
| 2022 | ICASSP | One TTS Alignment to Rule Them All. | Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro |
| 2022 | ICASSP | Speech Denoising in the Waveform Domain With Self-Attention. | Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro |
| 2021 | ACL | 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 |
| 2021 | ICLR | DiffWave: A Versatile Diffusion Model for Audio Synthesis. | Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro |
| 2020 | ICML | Non-Autoregressive Neural Text-to-Speech. | Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao |
| 2020 | ICML | WaveFlow: A Compact Flow-based Model for Raw Audio. | Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song |
| 2019 | ICLR | ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. | Wei Ping, Kainan Peng, Jitong Chen |
| 2018 | AISTATS | Topic Compositional Neural Language Model. | Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin |
| 2018 | EMNLP | Large Margin Neural Language Model. | Jiaji Huang, Yi Li, Wei Ping, Liang Huang |
| 2018 | ICLR | Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. | Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan mer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller |
| 2017 | AISTATS | Belief Propagation in Conditional RBMs for Structured Prediction. | Wei Ping, Alexander Ihler |
| 2014 | ICML | Marginal Structured SVM with Hidden Variables. | Wei Ping, Qiang Liu, Alexander Ihler |
| 2011 | CIKM | TAKES: a fast method to select features in the kernel space. | Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao |
| 2011 | ICDM | Multi-instance Metric Learning. | Ye Xu, Wei Ping, Andrew T. Campbell |
| 2011 | SDM | FAMER: Making Multi-Instance Learning Better and Faster. | Wei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua |
| 2010 | AAAI | 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 |