Wei Ping - RankMe

107 papers A* 28A 5Misc 2Journal 61Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos. CoRR Arushi Goel, Sreyan Ghosh, Vatsal Agarwal, Nishit Anand, Kaousheik Jayakumar, Lasha Koroshinadze, Yao Xu, Katie Lyons, James Case, Karan Sapra, Kevin J. Shih, Siddharth Gururani, Abhinav Shrivastava, Ramani Duraiswami, Dinesh Manocha, Andrew Tao, Bryan Catanzaro, Mohammad Shoeybi, Wei Ping
2026	J	`jnl`	Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation. CoRR Zhuolin Yang, Zihan Liu, Yang Chen, Wenliang Dai, Boxin Wang, Sheng-Chieh Lin, Chankyu Lee, Yangyi Chen, Dongfu Jiang, Jiafan He, Renjie Pi, Grace Lam, Nayeon Lee, Alexander Bukharin, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2026	J	`jnl`	On Data Engineering for Scaling LLM Terminal Capabilities. CoRR Renjie Pi, Grace Lam, Mohammad Shoeybi, Pooya Jannaty, Bryan Catanzaro, Wei Ping
2026	J	`jnl`	Quantization-Aware Distillation for NVFP4 Inference Accuracy Recovery. CoRR Meng Xin, Sweta Priyadarshi, Jingyu Xin, Bilal Kartal, Aditya Vavre, Asma Kuriparambil Thekkumpate, Zijia Chen, Ameya Sunil Mahabaleshwarkar, Ido Shahaf, Akhiad Bercovich, Kinjal Patel, Suguna Varshini Velury, Chenjie Luo, Zhiyu Cheng, Jenny Chen, Chen-Han Yu, Wei Ping, Oleg Rybakov, Nima Tajbakhsh, Oluwatobi Olabiyi, Dusan Stosic, Di Wu, Song Han, Eric Chung, Sharath Turuvekere Sreenivas, Bryan Catanzaro, Yoshi Suhara, Tijmen Blankevoort, Huizi Mao
2026	J	`jnl`	iGRPO: Self-Feedback-Driven LLM Reasoning. CoRR Ali Hatamizadeh, Shrimai Prabhumoye, Igor Gitman, Ximing Lu, Seungju Han, Wei Ping, Yejin Choi, Jan Kautz
2025	J	`jnl`	ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation. CoRR Bo Wang, Mengyuan Xu, Yue Yan, Yuqun Yang, Kechen Shu, Wei Ping, Xu Tang, Wei Jiang, Zheng You
2025	—	`conf`	AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling. ACL (Findings) Zihan Liu, Yang Chen, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025	J	`jnl`	AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL Synergy. CoRR Zihan Liu, Zhuolin Yang, Yang Chen, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025	J	`jnl`	AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning. CoRR Yang Chen, Zhuolin Yang, Zihan Liu, Chankyu Lee, Peng Xu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025	A*	`conf`	Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities. ICML Sreyan Ghosh, Zhifeng Kong, Sonal Kumar, S. Sakshi, Jaehyeon Kim, Wei Ping, Rafael Valle, Dinesh Manocha, Bryan Catanzaro
2025	J	`jnl`	Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities. CoRR Sreyan Ghosh, Zhifeng Kong, Sonal Kumar, S. Sakshi, Jaehyeon Kim, Wei Ping, Rafael Valle, Dinesh Manocha, Bryan Catanzaro
2025	J	`jnl`	Audio Flamingo Sound-CoT Technical Report: Improving Chain-of-Thought Reasoning in Sound Understanding. CoRR Zhifeng Kong, Arushi Goel, João Felipe Santos, Sreyan Ghosh, Rafael Valle, Wei Ping, Bryan Catanzaro
2025	A*	`conf`	ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. ICLR Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro
2025	J	`jnl`	Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. CoRR 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, Imad El Hanafi, Zekun Hao, Jacob Samuel Huffman, Jingyi Jin, Brendan Johnson, Rizwan Khan, George Kurian, Elena Lantz, Nayeon Lee, Zhaoshuo Li, Xuan Li, Tsung-Yi Lin, Yen-Chen Lin, Ming-Yu Liu, Alice Luo, Andrew Mathau, Yun Ni, Lindsey Pavao, Wei Ping, David W. Romero, Misha Smelyanskiy, Shuran Song, Lyne Tchapmi, Andrew Z. Wang, Boxin Wang, Haoxiang Wang, Fangyin Wei, Jiashu Xu, Yao Xu, Xiaodong Yang, Zhuolin Yang, Xiaohui Zeng, Zhe Zhang
2025	J	`jnl`	Dynamic Multimodal Fusion for Real-Time Lung Cancer Diagnostics in IoMT-Enabled Healthcare. IEEE Internet Things J. Wei Ping, Qihang Sun, Qi Wang, Fazlullah Khan, Ryan Alturki, Bandar Alshawi, Ni Zhang
2025	J	`jnl`	From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models. CoRR Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro
2025	A*	`conf`	Fugatto 1: Foundational Generative Audio Transformer Opus 1. ICLR Rafael Valle, Rohan Badlani, Zhifeng Kong, Sang-gil Lee, Arushi Goel, Sungwon Kim, João 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	A*	`conf`	Mm-Embed: Universal Multimodal Retrieval with Multimodal LLMS. ICLR Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping
2025	A*	`conf`	NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. ICLR Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025	J	`jnl`	Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models. CoRR Boxin Wang, Chankyu Lee, Nayeon Lee, Sheng-Chieh Lin, Wenliang Dai, Yang Chen, Yangyi Chen, Zhuolin Yang, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2025	J	`jnl`	UALM: Unified Audio Language Model for Understanding, Generation and Reasoning. CoRR Jinchuan Tian, Sang-gil Lee, Zhifeng Kong, Sreyan Ghosh, Arushi Goel, Chao-Han Huck Yang, Wenliang Dai, Zihan Liu, Hanrong Ye, Shinji Watanabe, Mohammad Shoeybi, Bryan Catanzaro, Rafael Valle, Wei Ping
2024	J	`jnl`	AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling. CoRR Zihan Liu, Yang Chen, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2024	A*	`conf`	Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. ICML Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro
2024	J	`jnl`	Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities. CoRR Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, Bryan Catanzaro
2024	J	`jnl`	ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. CoRR Peng Xu, Wei Ping, Xianchao Wu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	ChatQA: Building GPT-4 Level Conversational QA Models. CoRR Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro
2024	A*	`conf`	ChatQA: Surpassing GPT-4 on Conversational QA and RAG. NeurIPS Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro
2024	A*	`conf`	InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. ICML Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs. CoRR Sheng-Chieh Lin, Chankyu Lee, Mohammad Shoeybi, Jimmy Lin, Bryan Catanzaro, Wei Ping
2024	J	`jnl`	NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models. CoRR Chankyu Lee, Rajarshi Roy, Mengyao Xu, Jonathan Raiman, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2024	J	`jnl`	NVLM: Open Frontier-Class Multimodal LLMs. CoRR Wenliang Dai, Nayeon Lee, Boxin Wang, Zhuoling Yang, Zihan Liu, Jon Barker, Tuomas Rintamaki, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping
2024	A*	`conf`	RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. NeurIPS Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. CoRR Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
2024	A*	`conf`	Retrieval meets Long Context Large Language Models. ICLR Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro
2024	A*	`conf`	VILA: On Pre-training for Visual Language Models. CVPR Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han
2024	J	`jnl`	X-VILA: Cross-Modality Alignment for Large Language Model. CoRR Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin
2023	A*	`conf`	BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
2023	A	`conf`	CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. INTERSPEECH Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro
2023	J	`jnl`	CleanUNet 2: A Hybrid Speech Denoising Model on Waveform and Spectrogram. CoRR Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro
2023	A*	`conf`	Defending against Adversarial Audio via Diffusion Model. ICLR Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
2023	J	`jnl`	Defending against Adversarial Audio via Diffusion Model. CoRR Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
2023	—	`conf`	Defending against Insertion-based Textual Backdoor Attacks via Attribution. ACL (Findings) Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran
2023	J	`jnl`	Defending against Insertion-based Textual Backdoor Attacks via Attribution. CoRR Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran
2023	A*	`conf`	FlowGrad: Controlling the Output of Generative ODEs with Gradients. CVPR Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu
2023	J	`jnl`	InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining. CoRR Boxin Wang, Wei Ping, Lawrence McAfee, Peng Xu, Bo Li, Mohammad Shoeybi, Bryan Catanzaro
2023	J	`jnl`	Numerical simulation of ozonation in hollow-fiber membranes for wastewater treatment. Eng. Appl. Artif. Intell. Xiang Wang, Wei Ping, Ahmed Salah Al-Shati
2023	J	`jnl`	RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro
2023	—	`conf`	Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. EMNLP (Findings) 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	J	`jnl`	Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. CoRR 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
2023	J	`jnl`	Retrieval meets Long Context Large Language Models. CoRR Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro
2023	A*	`conf`	Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. EMNLP 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	J	`jnl`	Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. CoRR 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	J	`jnl`	VILA: On Pre-training for Visual Language Models. CoRR Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han
2022	J	`jnl`	BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
2022	A*	`conf`	Evaluating Parameter Efficient Learning for Generation. EMNLP Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro
2022	J	`jnl`	Evaluating Parameter Efficient Learning for Generation. CoRR Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan J. Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro
2022	A*	`conf`	Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. NeurIPS Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
2022	J	`jnl`	Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models. CoRR Boxin Wang, Wei Ping, Chaowei Xiao, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bo Li, Anima Anandkumar, Bryan Catanzaro
2022	A*	`conf`	Factuality Enhanced Language Models for Open-Ended Text Generation. NeurIPS Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Pascale Fung, Mohammad Shoeybi, Bryan Catanzaro
2022	J	`jnl`	Factuality Enhanced Language Models for Open-Ended Text Generation. CoRR Nayeon Lee, Wei Ping, Peng Xu, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
2022	—	`conf`	Multi-Stage Prompting for Knowledgeable Dialogue Generation. ACL (Findings) Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro
2022	J	`jnl`	Multi-Stage Prompting for Knowledgeable Dialogue Generation. CoRR Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro
2022	Misc	`conf`	One TTS Alignment to Rule Them All. ICASSP Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
2022	Misc	`conf`	Speech Denoising in the Waveform Domain With Self-Attention. ICASSP Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro
2022	J	`jnl`	Speech Denoising in the Waveform Domain with Self-Attention. CoRR Zhifeng Kong, Wei Ping, Ambrish Dantrey, Bryan Catanzaro
2021	A*	`conf`	DiffWave: A Versatile Diffusion Model for Audio Synthesis. ICLR Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
2021	—	`conf`	End-to-End Training of Neural Retrievers for Open-Domain Question Answering. ACL/IJCNLP (1) Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
2021	J	`jnl`	End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
2021	A*	`conf`	Long-Short Transformer: Efficient Transformers for Language and Vision. NeurIPS Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro
2021	J	`jnl`	Long-Short Transformer: Efficient Transformers for Language and Vision. CoRR Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro
2021	J	`jnl`	On Fast Sampling of Diffusion Probabilistic Models. CoRR Zhifeng Kong, Wei Ping
2021	J	`jnl`	One TTS Alignment To Rule Them All. CoRR Rohan Badlani, Adrian Lancucki, Kevin J. Shih, Rafael Valle, Wei Ping, Bryan Catanzaro
2021	J	`jnl`	Phase separation in synthetic biology. Quant. Biol. Shi Shuyu, Si Wen, Ouyang Xiaoyi, Wei Ping
2020	J	`jnl`	DiffWave: A Versatile Diffusion Model for Audio Synthesis. CoRR Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, Bryan Catanzaro
2020	J	`jnl`	Local Knowledge Powered Conversational Agents. CoRR Sashank Santhanam, Wei Ping, Raul Puri, Mohammad Shoeybi, Mostofa Patwary, Bryan Catanzaro
2020	A*	`conf`	Non-Autoregressive Neural Text-to-Speech. ICML Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
2020	A*	`conf`	WaveFlow: A Compact Flow-based Model for Raw Audio. ICML Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
2019	—	`conf`	ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. ICLR (Poster) Wei Ping, Kainan Peng, Jitong Chen
2019	J	`jnl`	Multi-Speaker End-to-End Speech Synthesis. CoRR Jihyun Park, Kexin Zhao, Kainan Peng, Wei Ping
2019	J	`jnl`	Parallel Neural Text-to-Speech. CoRR Kainan Peng, Wei Ping, Zhao Song, Kexin Zhao
2019	J	`jnl`	WaveFlow: A Compact Flow-based Model for Raw Audio. CoRR Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
2018	J	`jnl`	Cancer Metastasis Detection With Neural Conditional Random Field. CoRR Yi Li, Wei Ping
2018	J	`jnl`	ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. CoRR Wei Ping, Kainan Peng, Jitong Chen
2018	—	`conf`	Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. ICLR (Poster) Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
2018	A*	`conf`	Large Margin Neural Language Model. EMNLP Jiaji Huang, Yi Li, Wei Ping, Liang Huang
2018	J	`jnl`	Large Margin Neural Language Model. CoRR Jiaji Huang, Yi Li, Wei Ping, Liang Huang
2018	A*	`conf`	Neural Voice Cloning with a Few Samples. NeurIPS Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
2018	J	`jnl`	Neural Voice Cloning with a Few Samples. CoRR Sercan Ömer Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou
2018	A	`conf`	Topic Compositional Neural Language Model. AISTATS Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
2017	A	`conf`	Belief Propagation in Conditional RBMs for Structured Prediction. AISTATS Wei Ping, Alexander Ihler
2017	J	`jnl`	Belief Propagation in Conditional RBMs for Structured Prediction. CoRR Wei Ping, Alexander Ihler
2017	—	`conf`	Deep Voice 2: Multi-Speaker Neural Text-to-Speech. NIPS Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
2017	J	`jnl`	Deep Voice 2: Multi-Speaker Neural Text-to-Speech. CoRR Sercan Ömer Arik, Gregory F. Diamos, Andrew Gibiansky, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou
2017	J	`jnl`	Deep Voice 3: 2000-Speaker Neural Text-to-Speech. CoRR Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Ömer Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller
2017	J	`jnl`	Learning Infinite RBMs with Frank-Wolfe. CoRR Wei Ping, Qiang Liu, Alexander Ihler
2017	J	`jnl`	Topic Compositional Neural Language Model. CoRR Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin
2016	—	`conf`	Learning Infinite RBMs with Frank-Wolfe. NIPS Wei Ping, Qiang Liu, Alexander Ihler
2016	—	`—`	Learning and Inference in Latent Variable Graphical Models. Wei Ping
2015	—	`conf`	Decomposition Bounds for Marginal MAP. NIPS Wei Ping, Qiang Liu, Alexander Ihler
2015	J	`jnl`	Decomposition Bounds for Marginal MAP. CoRR Wei Ping, Qiang Liu, Alexander Ihler
2014	A*	`conf`	Marginal Structured SVM with Hidden Variables. ICML Wei Ping, Qiang Liu, Alexander Ihler
2014	J	`jnl`	Marginal Structured SVM with Hidden Variables. CoRR Wei Ping, Qiang Liu, Alexander Ihler
2011	A	`conf`	FAMER: Making Multi-Instance Learning Better and Faster. SDM Wei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua
2011	A*	`conf`	Million-scale near-duplicate video retrieval system. ACM Multimedia Yang Cai, Linjun Yang, Wei Ping, Fei Wang, Tao Mei, Xian-Sheng Hua, Shipeng Li
2011	A*	`conf`	Multi-instance Metric Learning. ICDM Ye Xu, Wei Ping, Andrew T. Campbell
2011	A	`conf`	TAKES: a fast method to select features in the kernel space. CIKM Ye Xu, Furao Shen, Wei Ping, Jinxi Zhao
2010	A*	`conf`	Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace. AAAI Wei Ping, Ye Xu, Kexin Ren, Chi-Hung Chi, Furao Shen