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 (AAAI, 2010)

TAKES: a fast method to select features in the kernel space. - Ye Xu; Furao Shen; Wei Ping; Jinxi Zhao (CIKM, 2011)

Multi-instance Metric Learning. - Ye Xu; Wei Ping; Andrew T. Campbell (ICDM, 2011)

Million-scale near-duplicate video retrieval system. - Yang Cai; Linjun Yang; Wei Ping; Fei Wang; Tao Mei 001; Xian-Sheng Hua 001; Shipeng Li 001 (ACM Multimedia, 2011)

FAMER: Making Multi-Instance Learning Better and Faster. - Wei Ping; Ye Xu; Jianyong Wang 001; Xian-Sheng Hua 001 (SDM, 2011)

Marginal Structured SVM with Hidden Variables. - Wei Ping; Qiang Liu 001; Alexander Ihler (ICML, 2014)

Decomposition Bounds for Marginal MAP. - Wei Ping; Qiang Liu 001; Alexander Ihler (NIPS, 2015)

Learning Infinite RBMs with Frank-Wolfe. - Wei Ping; Qiang Liu 001; Alexander Ihler (NIPS, 2016)

Learning and Inference in Latent Variable Graphical Models. - Wei Ping (2016)

Belief Propagation in Conditional RBMs for Structured Prediction. - Wei Ping; Alexander Ihler (AISTATS, 2017)

Deep Voice 2: Multi-Speaker Neural Text-to-Speech. - Andrew Gibiansky; Sercan Ömer Arik; Gregory Frederick Diamos; John Miller 001; Kainan Peng; Wei Ping; Jonathan Raiman; Yanqi Zhou (NIPS, 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 001 (CoRR, 2017)

Topic Compositional Neural Language Model. - Wenlin Wang; Zhe Gan; Wenqi Wang 001; Dinghan Shen; Jiaji Huang; Wei Ping; Sanjeev Satheesh; Lawrence Carin (AISTATS, 2018)

Large Margin Neural Language Model. - Jiaji Huang; Yi Li; Wei Ping; Liang Huang 001 (EMNLP, 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 001 (ICLR (Poster), 2018)

Neural Voice Cloning with a Few Samples. - Sercan Ömer Arik; Jitong Chen; Kainan Peng; Wei Ping; Yanqi Zhou (NeurIPS, 2018)

Cancer Metastasis Detection With Neural Conditional Random Field. - Yi Li; Wei Ping (CoRR, 2018)

ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. - Wei Ping; Kainan Peng; Jitong Chen (ICLR (Poster), 2019)

Parallel Neural Text-to-Speech. - Kainan Peng; Wei Ping; Zhao Song 001; Kexin Zhao (CoRR, 2019)

Multi-Speaker End-to-End Speech Synthesis. - Jihyun Park; Kexin Zhao; Kainan Peng; Wei Ping (CoRR, 2019)

Non-Autoregressive Neural Text-to-Speech. - Kainan Peng; Wei Ping; Zhao Song 001; Kexin Zhao (ICML, 2020)

WaveFlow: A Compact Flow-based Model for Raw Audio. - Wei Ping; Kainan Peng; Kexin Zhao; Zhao Song 001 (ICML, 2020)

Local Knowledge Powered Conversational Agents. - Sashank Santhanam; Wei Ping; Raul Puri; Mohammad Shoeybi; Mostofa Patwary; Bryan Catanzaro (CoRR, 2020)

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 (ACL/IJCNLP (1), 2021)

DiffWave: A Versatile Diffusion Model for Audio Synthesis. - Zhifeng Kong; Wei Ping; Jiaji Huang; Kexin Zhao; Bryan Catanzaro (ICLR, 2021)

Long-Short Transformer: Efficient Transformers for Language and Vision. - Chen Zhu 001; Wei Ping; Chaowei Xiao; Mohammad Shoeybi; Tom Goldstein; Anima Anandkumar; Bryan Catanzaro (NeurIPS, 2021)

On Fast Sampling of Diffusion Probabilistic Models. - Zhifeng Kong; Wei Ping (CoRR, 2021)

Phase separation in synthetic biology. - Shi Shuyu; Si Wen; Ouyang Xiaoyi; Wei Ping (Quant. Biol., 2021)

Multi-Stage Prompting for Knowledgeable Dialogue Generation. - Zihan Liu 001; Mostofa Patwary; Ryan Prenger; Shrimai Prabhumoye; Wei Ping; Mohammad Shoeybi; Bryan Catanzaro (ACL (Findings), 2022)

Evaluating Parameter Efficient Learning for Generation. - Peng Xu 008; Mostofa Patwary; Shrimai Prabhumoye; Virginia Adams; Ryan Prenger; Wei Ping; Nayeon Lee; Mohammad Shoeybi; Bryan Catanzaro (EMNLP, 2022)

One TTS Alignment to Rule Them All. - Rohan Badlani; Adrian Lancucki; Kevin J. Shih; Rafael Valle; Wei Ping; Bryan Catanzaro (ICASSP, 2022)

Speech Denoising in the Waveform Domain With Self-Attention. - Zhifeng Kong; Wei Ping; Ambrish Dantrey; Bryan Catanzaro (ICASSP, 2022)

Factuality Enhanced Language Models for Open-Ended Text Generation. - Nayeon Lee; Wei Ping; Peng Xu 008; Mostofa Patwary; Pascale Fung; Mohammad Shoeybi; Bryan Catanzaro (NeurIPS, 2022)

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. - Boxin Wang; Wei Ping; Chaowei Xiao; Peng Xu 008; Mostofa Patwary; Mohammad Shoeybi; Bo Li 026; Anima Anandkumar; Bryan Catanzaro (NeurIPS, 2022)

Factuality Enhanced Language Models for Open-Ended Text Generation. - Nayeon Lee; Wei Ping; Peng Xu 008; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2022)

Defending against Insertion-based Textual Backdoor Attacks via Attribution. - Jiazhao Li; Zhuofeng Wu 001; Wei Ping; Chaowei Xiao; V. G. Vinod Vydiswaran (ACL (Findings), 2023)

FlowGrad: Controlling the Output of Generative ODEs with Gradients. - Xingchao Liu; Lemeng Wu; Shujian Zhang; Chengyue Gong; Wei Ping; Qiang Liu 001 (CVPR, 2023)

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. - Boxin Wang; Wei Ping; Peng Xu 008; Lawrence McAfee; Zihan Liu 001; Mohammad Shoeybi; Yi Dong; Oleksii Kuchaiev; Bo Li 026; Chaowei Xiao; Anima Anandkumar; Bryan Catanzaro (EMNLP, 2023)

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. - Zhuolin Yang; Wei Ping; Zihan Liu 001; Vijay Korthikanti; Weili Nie; De-An Huang; Linxi Fan; Zhiding Yu; Shiyi Lan; Bo Li 026; Mohammad Shoeybi; Ming-Yu Liu 001; et al. (EMNLP (Findings), 2023)

BigVGAN: A Universal Neural Vocoder with Large-Scale Training. - Sang-gil Lee; Wei Ping; Boris Ginsburg; Bryan Catanzaro; Sungroh Yoon (ICLR, 2023)

Defending against Adversarial Audio via Diffusion Model. - Shutong Wu; Jiongxiao Wang; Wei Ping; Weili Nie; Chaowei Xiao (ICLR, 2023)

CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. - Zhifeng Kong; Wei Ping; Ambrish Dantrey; Bryan Catanzaro (INTERSPEECH, 2023)

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. - Jie Huang 009; Wei Ping; Peng Xu 008; Mohammad Shoeybi; Kevin Chen-Chuan Chang; Bryan Catanzaro (CoRR, 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Yao Lu 006; Pavlo Molchanov 001; Andrew Tao; Huizi Mao; Jan Kautz; Mohammad Shoeybi; Song Han 003 (CoRR, 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 002; Hongxu Yin; Wei Ping; Pavlo Molchanov 001; Mohammad Shoeybi; Song Han 003 (CVPR, 2024)

Retrieval meets Long Context Large Language Models. - Peng Xu 008; Wei Ping; Xianchao Wu; Lawrence McAfee; Chen Zhu 001; Zihan Liu 001; Sandeep Subramanian; Evelina Bakhturina; Mohammad Shoeybi; Bryan Catanzaro (ICLR, 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 (ICML, 2024)

InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. - Boxin Wang; Wei Ping; Lawrence McAfee; Peng Xu 008; Bo Li 026; Mohammad Shoeybi; Bryan Catanzaro (ICML, 2024)

ChatQA: Surpassing GPT-4 on Conversational QA and RAG. - Zihan Liu 001; Wei Ping; Rajarshi Roy 003; Peng Xu 008; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro (NeurIPS, 2024)

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. - Yue Yu; Wei Ping; Zihan Liu 001; Boxin Wang; Jiaxuan You; Chao Zhang; Mohammad Shoeybi; Bryan Catanzaro (NeurIPS, 2024)

ChatQA: Building GPT-4 Level Conversational QA Models. - Zihan Liu 001; Wei Ping; Rajarshi Roy 003; Peng Xu 008; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

X-VILA: Cross-Modality Alignment for Large Language Model. - Hanrong Ye; De-An Huang; Yao Lu 006; Zhiding Yu; Wei Ping; Andrew Tao; Jan Kautz; Song Han 003; Dan Xu 002; Pavlo Molchanov 001; Hongxu Yin (CoRR, 2024)

Nemotron-4 340B Technical Report. - Bo Adler; Niket Agarwal; Ashwath Aithal; Dong H. Anh; Pallab Bhattacharya; Annika Brundyn; Jared Casper; Bryan Catanzaro; Sharon Clay; Jonathan M. Cohen; Sirshak Das; Ayush Dattagupta; et al. (CoRR, 2024)

ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. - Peng Xu 008; Wei Ping; Xianchao Wu; Zihan Liu 001; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

NVLM: Open Frontier-Class Multimodal LLMs. - Wenliang Dai; Nayeon Lee; Boxin Wang; Zhuoling Yang; Zihan Liu 001; Jon Barker; Tuomas Rintamaki; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (CoRR, 2024)

AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling. - Zihan Liu 001; Yang Chen; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (ACL (Findings), 2025)

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. - Chankyu Lee; Rajarshi Roy 003; Mengyao Xu; Jonathan Raiman; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (ICLR, 2025)

Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS. - Sheng-Chieh Lin; Chankyu Lee; Mohammad Shoeybi; Jimmy Lin; Bryan Catanzaro; Wei Ping (ICLR, 2025)

Fugatto 1: Foundational Generative Audio Transformer Opus 1. - Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim 001; João Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih; et al. (ICLR, 2025)

ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. - Peng Xu 008; Wei Ping; Xianchao Wu; Chejian Xu; Zihan Liu 001; Mohammad Shoeybi; Bryan Catanzaro (ICLR, 2025)

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 (CoRR, 2025)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - Alisson G. Azzolini; Hannah Brandon; Prithvijit Chattopadhyay; Huayu Chen; Jinju Chu; Yin Cui; Jenna Diamond; Yifan Ding; Francesco Ferroni; Rama Govindaraju; Jinwei Gu; Siddharth Gururani; et al. (CoRR, 2025)

From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models. - Chejian Xu; Wei Ping; Peng Xu 008; Zihan Liu 001; Boxin Wang; Mohammad Shoeybi; Bo Li 026; Bryan Catanzaro (CoRR, 2025)

AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning. - Yang Chen; Zhuolin Yang; Zihan Liu 001; Chankyu Lee; Peng Xu 008; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (CoRR, 2025)

AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy. - Zihan Liu 001; Zhuolin Yang; Yang Chen; Chankyu Lee; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (CoRR, 2025)

ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation. - Bo Wang 016; Mengyuan Xu; Yue Yan; Yuqun Yang; Kechen Shu; Wei Ping; Xu Tang; Wei Jiang; Zheng You (CoRR, 2025)

Audio Flamingo Sound-CoT Technical Report: Improving Chain-of-Thought Reasoning in Sound Understanding. - Zhifeng Kong; Arushi Goel; João Felipe Santos; Sreyan Ghosh; Rafael Valle; Wei Ping; Bryan Catanzaro (CoRR, 2025)