Publications

2024

1. Preprint

   Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts

   Yin, Yueqin, Wang, Zhendong, Gu, Yi, Huang, Hai, Chen, Weizhu, and Zhou, Mingyuan

   arXiv preprint arXiv:2402.10958 2024

   Bib PDF Code

   @article{yin2024relative,
     title = {Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts},
     author = {Yin, Yueqin and Wang, Zhendong and Gu, Yi and Huang, Hai and Chen, Weizhu and Zhou, Mingyuan},
     journal = {arXiv preprint arXiv:2402.10958},
     year = {2024},
   }

2023

1. Preprint

   Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts

   Chen, Tianqi, Liu, Yongfei, Wang, Zhendong, Yuan, Jianbo, You, Quanzeng, Yang, Hongxia, and Zhou, Mingyuan

   arXiv preprint arXiv:2312.01408 2023

   Bib PDF

   @article{chen2023improving,
     title = {Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts},
     author = {Chen, Tianqi and Liu, Yongfei and Wang, Zhendong and Yuan, Jianbo and You, Quanzeng and Yang, Hongxia and Zhou, Mingyuan},
     journal = {arXiv preprint arXiv:2312.01408},
     year = {2023},
   }

2. ICLR 2024

   Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling

   Zheng, Huangjie, Wang, Zhendong, Yuan, Jianbo, Ning, Guanghan, He, Pengcheng, You, Quanzeng, Yang, Hongxia, and Zhou, Mingyuan

   The Twelfth International Conference on Learning Representations 2023

   Bib PDF

   @article{zheng2023learning,
     title = {Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling},
     author = {Zheng, Huangjie and Wang, Zhendong and Yuan, Jianbo and Ning, Guanghan and He, Pengcheng and You, Quanzeng and Yang, Hongxia and Zhou, Mingyuan},
     journal = {The Twelfth International Conference on Learning Representations},
     year = {2023},
   }

3. NeurIPS 2023

   In-Context Learning Unlocked for Diffusion Models

   Wang, Zhendong, Jiang, Yifan, Lu, Yadong, Shen, Yelong, He, Pengcheng, Chen, Weizhu, Wang, Zhangyang, and Zhou, Mingyuan

   Advances in Neural Information Processing Systems 2023

   Bib PDF Code

   @article{wang2023context,
     title = {In-Context Learning Unlocked for Diffusion Models},
     author = {Wang, Zhendong and Jiang, Yifan and Lu, Yadong and Shen, Yelong and He, Pengcheng and Chen, Weizhu and Wang, Zhangyang and Zhou, Mingyuan},
     journal = {Advances in Neural Information Processing Systems},
     year = {2023},
   }

4. NeurIPS 2023

   Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

   Wang, Zhendong, Jiang, Yifan, Zheng, Huangjie, Wang, Peihao, He, Pengcheng, Wang, Zhangyang, Chen, Weizhu, and Zhou, Mingyuan

   Advances in Neural Information Processing Systems 2023

   Bib PDF Code

   @article{wang2023patch,
     title = {Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models},
     author = {Wang, Zhendong and Jiang, Yifan and Zheng, Huangjie and Wang, Peihao and He, Pengcheng and Wang, Zhangyang and Chen, Weizhu and Zhou, Mingyuan},
     journal = {Advances in Neural Information Processing Systems},
     year = {2023},
   }

5. ICLR 2023

   Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

   Wang, Zhendong, Hunt, J Jonathan, and Zhou, Mingyuan

   International Conference on Learning Representations 2023

   Bib PDF Code

   @article{wang2023diffusioninrl,
     title = {Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning},
     author = {Wang, Zhendong and Hunt, J Jonathan and Zhou, Mingyuan},
     journal = {International Conference on Learning Representations},
     year = {2023},
   }

6. ICLR 2023

   Diffusion-GAN: Training GANs with Diffusion

   Wang, Zhendong, Zheng, Huangjie, He, Pengcheng, Chen, Weizhu, and Zhou, Mingyuan

   International Conference on Learning Representations 2023

   Bib PDF Code

   @article{wang2023diffusiongan,
     title = {Diffusion-GAN: Training GANs with Diffusion},
     author = {Wang, Zhendong and Zheng, Huangjie and He, Pengcheng and Chen, Weizhu and Zhou, Mingyuan},
     journal = {International Conference on Learning Representations},
     year = {2023},
   }

7. AISTATS 2023

   Probabilistic Conformal Prediction Using Conditional Random Samples

   Wang, Zhendong*, Gao, Ruijiang*, Yin, Mingzhang*, Zhou, Mingyuan, and Blei, David M

   International Conference on Artificial Intelligence and Statistics 2023 2023

   Bib PDF Code

   @article{wang2023pcp,
     title = {Probabilistic Conformal Prediction Using Conditional Random Samples},
     author = {Wang, Zhendong* and Gao, Ruijiang* and Yin, Mingzhang* and Zhou, Mingyuan and Blei, David M},
     journal = {International Conference on Artificial Intelligence and Statistics 2023},
     year = {2023},
   }

2022

1. Preprint

   A Regularized Implicit Policy for Offline Reinforcement Learning

   Yang, Shentao*, Wang, Zhendong*, Zheng, Huangjie, Feng, Yihao, and Zhou, Mingyuan

   arXiv preprint arXiv:2202.09673 2022

   Bib PDF

   @article{yang2022implicitpi,
     title = {A Regularized Implicit Policy for Offline Reinforcement Learning},
     author = {Yang, Shentao* and Wang, Zhendong* and Zheng, Huangjie and Feng, Yihao and Zhou, Mingyuan},
     journal = {arXiv preprint arXiv:2202.09673},
     year = {2022},
   }

2020

1. ICML 2020

   Thompson sampling via local uncertainty

   Wang, Zhendong, and Zhou, Mingyuan

   In International Conference on Machine Learning 2020

   Bib PDF Code

   @inproceedings{wang2020thompson,
     title = {Thompson sampling via local uncertainty},
     author = {Wang, Zhendong and Zhou, Mingyuan},
     booktitle = {International Conference on Machine Learning},
     pages = {10115--10125},
     year = {2020},
     organization = {PMLR},
   }

2. NeurIPS 2020

   Implicit distributional reinforcement learning

   Yue, Yuguang*, Wang, Zhendong*, and Zhou, Mingyuan

   Advances in Neural Information Processing Systems 2020

   Bib PDF Code

   @article{yue2020implicit,
     title = {Implicit distributional reinforcement learning},
     author = {Yue, Yuguang* and Wang, Zhendong* and Zhou, Mingyuan},
     journal = {Advances in Neural Information Processing Systems},
     volume = {33},
     pages = {7135--7147},
     year = {2020},
   }

3. ICLR 2020

   Adaptive correlated Monte Carlo for contextual categorical sequence generation

   Fan, Xinjie, Zhang, Yizhe, Wang, Zhendong, and Zhou, Mingyuan

   International Conference on Learning Representations 2020

   Bib PDF Code

   @article{fan2020adaptive,
     title = {Adaptive correlated Monte Carlo for contextual categorical sequence generation},
     author = {Fan, Xinjie and Zhang, Yizhe and Wang, Zhendong and Zhou, Mingyuan},
     journal = {International Conference on Learning Representations},
     year = {2020},
   }