Zhirong Wu

Senior Researcher

论文与出版物

查看方式：

- Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
  
  Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
  
  ICLR 2026 | June 2025
  
  DOI Publication
- NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining
  
  Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
  
  Transactions on Machine Learning Research | July 2024
  
  Publication
- Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
  
  Huimin Wu, Chenyang Lei, Xiao Sun, Pengju Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu
  
  International Conference on Computer Vision (ICCV) | October 2023
  
  Publication
- Extreme Masking for Learning Instance and Distributed Visual Representations
  
  Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin
  
  Transactions on Machine Learning Research | March 2023
  
  Publication
- Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
  
  Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato
  
  European Conference on Computer Vision (ECCV) | October 2022
  
  Publication
- Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
  
  Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato
  
  European Conference on Computer Vision (ECCV) | October 2022
  
  Publication
- Debiased Learning from Naturally Imbalanced Pseudo-Labels
  
  Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
  
  2022 Computer Vision and Pattern Recognition | April 2022
  
  PDF Publication
- A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
  
  Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin
  
  2022 Computer Vision and Pattern Recognition | March 2022
  
  Publication Publication
- Aligning Pretraining for Detection via Object-Level Contrastive Learning
  
  Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin
  
  NeurIPS 2021 | December 2021
  
  Publication
- The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
  
  Runtao Liu, Zhirong Wu, Stella Yu, Stephen Lin
  
  NeurIPS 2021 | December 2021
  
  Publication
- Instance Localization for Self-supervised Detection Pretraining
  
  Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin
  
  CVPR 2021 | June 2021
  
  Publication
- What Makes Instance Discrimination Good for Transfer Learning
  
  Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin
  
  International Conference on Learning Representations (ICLR) | May 2021
  
  PDF Publication
- Distilling Localization for Contrastive Representation Learning
  
  Nanxuan Zhao, Zhirong Wu, Rynson W.H. Lau, Stephen Lin
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication
- Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
  
  Peng-Shuai Wang, Yang Liu, Xin Tong, Zhirong Wu
  
  AAAI | January 2021
  
  Publication
- A Transductive Approach for Video Object Segmentation
  
  Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin
  
  Computer Vision and Pattern Recognition (CVPR) | June 2020
  
  Publication PDF
- Deep Metric Transfer for Label Propagation with Limited Annotated Data
  
  Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
  
  International Conference on Computer Vision Workshops | October 2019
  
  Publication

- Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
  
  Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
  
  ICLR 2026 | June 2025
  
  DOI Publication
- NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining
  
  Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
  
  Transactions on Machine Learning Research | July 2024
  
  Publication
- Extreme Masking for Learning Instance and Distributed Visual Representations
  
  Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin
  
  Transactions on Machine Learning Research | March 2023
  
  Publication
- Debiased Learning from Naturally Imbalanced Pseudo-Labels
  
  Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
  
  2022 Computer Vision and Pattern Recognition | April 2022
  
  PDF Publication
- Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
  
  Peng-Shuai Wang, Yang Liu, Xin Tong, Zhirong Wu
  
  AAAI | January 2021
  
  Publication
- Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
  
  Huimin Wu, Chenyang Lei, Xiao Sun, Pengju Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu
  
  International Conference on Computer Vision (ICCV) | October 2023
  
  Publication
- Extreme Masking for Learning Instance and Distributed Visual Representations
  
  Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin
  
  Transactions on Machine Learning Research | March 2023
  
  Publication
- Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
  
  Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato
  
  European Conference on Computer Vision (ECCV) | October 2022
  
  Publication
- Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
  
  Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato
  
  European Conference on Computer Vision (ECCV) | October 2022
  
  Publication
- Debiased Learning from Naturally Imbalanced Pseudo-Labels
  
  Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
  
  2022 Computer Vision and Pattern Recognition | April 2022
  
  PDF Publication
- A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
  
  Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin
  
  2022 Computer Vision and Pattern Recognition | March 2022
  
  Publication Publication
- The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
  
  Runtao Liu, Zhirong Wu, Stella Yu, Stephen Lin
  
  NeurIPS 2021 | December 2021
  
  Publication
- Aligning Pretraining for Detection via Object-Level Contrastive Learning
  
  Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin
  
  NeurIPS 2021 | December 2021
  
  Publication
- Instance Localization for Self-supervised Detection Pretraining
  
  Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin
  
  CVPR 2021 | June 2021
  
  Publication
- What Makes Instance Discrimination Good for Transfer Learning
  
  Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin
  
  International Conference on Learning Representations (ICLR) | May 2021
  
  PDF Publication
- Distilling Localization for Contrastive Representation Learning
  
  Nanxuan Zhao, Zhirong Wu, Rynson W.H. Lau, Stephen Lin
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication
- A Transductive Approach for Video Object Segmentation
  
  Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin
  
  Computer Vision and Pattern Recognition (CVPR) | June 2020
  
  Publication PDF
- Deep Metric Transfer for Label Propagation with Limited Annotated Data
  
  Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
  
  International Conference on Computer Vision Workshops | October 2019
  
  Publication

- Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
  
  Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang
  
  ICLR 2026 | June 2025
  
  DOI Publication
- Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning
  
  Huimin Wu, Chenyang Lei, Xiao Sun, Pengju Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu
  
  International Conference on Computer Vision (ICCV) | October 2023
  
  Publication
- Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
  
  Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato
  
  European Conference on Computer Vision (ECCV) | October 2022
  
  Publication
- Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
  
  Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato
  
  European Conference on Computer Vision (ECCV) | October 2022
  
  Publication
- Debiased Learning from Naturally Imbalanced Pseudo-Labels
  
  Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu
  
  2022 Computer Vision and Pattern Recognition | April 2022
  
  PDF Publication
- A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation
  
  Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin
  
  2022 Computer Vision and Pattern Recognition | March 2022
  
  Publication Publication
- The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
  
  Runtao Liu, Zhirong Wu, Stella Yu, Stephen Lin
  
  NeurIPS 2021 | December 2021
  
  Publication
- Aligning Pretraining for Detection via Object-Level Contrastive Learning
  
  Fangyun Wei, Yue Gao, Zhirong Wu, Han Hu, Stephen Lin
  
  NeurIPS 2021 | December 2021
  
  Publication
- Instance Localization for Self-supervised Detection Pretraining
  
  Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin
  
  CVPR 2021 | June 2021
  
  Publication
- What Makes Instance Discrimination Good for Transfer Learning
  
  Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin
  
  International Conference on Learning Representations (ICLR) | May 2021
  
  PDF Publication
- Distilling Localization for Contrastive Representation Learning
  
  Nanxuan Zhao, Zhirong Wu, Rynson W.H. Lau, Stephen Lin
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication
- Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
  
  Peng-Shuai Wang, Yang Liu, Xin Tong, Zhirong Wu
  
  AAAI | January 2021
  
  Publication
- A Transductive Approach for Video Object Segmentation
  
  Yizhuo Zhang, Zhirong Wu, Houwen Peng, Stephen Lin
  
  Computer Vision and Pattern Recognition (CVPR) | June 2020
  
  Publication PDF
- Deep Metric Transfer for Label Propagation with Limited Annotated Data
  
  Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
  
  International Conference on Computer Vision Workshops | October 2019
  
  Publication
- NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining
  
  Chenguo Lin, Xumeng Wen, Wei Cao, Congrui Huang, Jiang Bian, Stephen Lin, Zhirong Wu
  
  Transactions on Machine Learning Research | July 2024
  
  Publication
- Extreme Masking for Learning Instance and Distributed Visual Representations
  
  Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin
  
  Transactions on Machine Learning Research | March 2023
  
  Publication

Zhirong Wu

论文与出版物

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining

Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning

Extreme Masking for Learning Instance and Distributed Visual Representations

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion

Debiased Learning from Naturally Imbalanced Pseudo-Labels

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

Aligning Pretraining for Detection via Object-Level Contrastive Learning

The Emergence of Objectness: Learning Zero-shot Segmentation from Videos

Instance Localization for Self-supervised Detection Pretraining

What Makes Instance Discrimination Good for Transfer Learning

Distilling Localization for Contrastive Representation Learning

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

A Transductive Approach for Video Object Segmentation

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining

Extreme Masking for Learning Instance and Distributed Visual Representations

Debiased Learning from Naturally Imbalanced Pseudo-Labels

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning

Extreme Masking for Learning Instance and Distributed Visual Representations

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion

Debiased Learning from Naturally Imbalanced Pseudo-Labels

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

The Emergence of Objectness: Learning Zero-shot Segmentation from Videos

Aligning Pretraining for Detection via Object-Level Contrastive Learning

Instance Localization for Self-supervised Detection Pretraining

What Makes Instance Discrimination Good for Transfer Learning

Distilling Localization for Contrastive Representation Learning

A Transductive Approach for Video Object Segmentation

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

Bringing Rolling Shutter Images Alive with Dual Reversed Distortion

Debiased Learning from Naturally Imbalanced Pseudo-Labels

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

The Emergence of Objectness: Learning Zero-shot Segmentation from Videos

Aligning Pretraining for Detection via Object-Level Contrastive Learning

Instance Localization for Self-supervised Detection Pretraining

What Makes Instance Discrimination Good for Transfer Learning

Distilling Localization for Contrastive Representation Learning

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

A Transductive Approach for Video Object Segmentation

Deep Metric Transfer for Label Propagation with Limited Annotated Data

NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time Series Pretraining

Extreme Masking for Learning Instance and Distributed Visual Representations