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ORCIDZhendong Wang 0005
Person information
- affiliation: University of Texas at Austin, TX, USA
- affiliation: Microsoft
Other persons with the same name
- Zhendong Wang — disambiguation page
- Zhendong Wang 0001
![[0000-0002-0647-3808]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0647-3808")
— Style3D Research, Hangzhou, China - Zhendong Wang 0002 — Jiangxi University of Science and Technology, Ganzhou, China
- Zhendong Wang 0003 — University of California, Irvine, CA, USA
- Zhendong Wang 0004 — KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Schweden (and 1 more)
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2020 – today
- 2025
[c14]Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang:
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation. ICLR 2025- [c13]Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang:
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step. ICLR 2025 - [i28]Tianyu Chen, Yasi Zhang, Zhendong Wang, Ying Nian Wu, Oscar Leong, Mingyuan Zhou:
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation. CoRR abs/2503.07578 (2025) - [i27]Mingyuan Zhou, Yi Gu, Zhendong Wang:
Few-Step Diffusion via Score identity Distillation. CoRR abs/2505.12674 (2025) - [i26]Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong:
Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation. CoRR abs/2505.13377 (2025) - [i25]Yifan Sun, Jingyan Shen, Yibin Wang, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang:
Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay. CoRR abs/2506.05316 (2025) - [i24]Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou:
EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing. CoRR abs/2509.13399 (2025) - [i23]Liyang Xie, Haoran Zhang, Zhendong Wang, Wesley Tansey, Mingyuan Zhou:
Distilled Protein Backbone Generation. CoRR abs/2510.03095 (2025) - 2024
- [c12]Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou:
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. ICLR 2024 - [c11]Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang:
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. ICML 2024 - [c10]Tianyu Chen, Zhendong Wang, Mingyuan Zhou:
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning. NeurIPS 2024 - [i22]Yueqin Yin, Zhendong Wang, Yi Gu, Hai Huang, Weizhu Chen, Mingyuan Zhou:
Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts. CoRR abs/2402.10958 (2024) - [i21]Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang:
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR abs/2402.14270 (2024) - [i20]Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang:
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. CoRR abs/2404.04057 (2024) - [i19]Tianyu Chen, Zhendong Wang, Mingyuan Zhou:
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning. CoRR abs/2405.19690 (2024) - [i18]Yueqin Yin, Zhendong Wang, Yujia Xie, Weizhu Chen, Mingyuan Zhou:
Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment. CoRR abs/2405.20830 (2024) - [i17]Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang:
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation. CoRR abs/2406.01561 (2024) - [i16]Yi Gu, Zhendong Wang, Yueqin Yin, Yujia Xie, Mingyuan Zhou:
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization. CoRR abs/2406.06382 (2024) - [i15]Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang:
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step. CoRR abs/2410.14919 (2024) - [i14]Zhendong Wang, Zhaoshuo Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng:
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. CoRR abs/2410.21257 (2024) - [i13]Tianyu Chen, Zhendong Wang, Mingyuan Zhou:
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization. CoRR abs/2412.03941 (2024) - 2023
- [c9]Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei:
Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS 2023: 8814-8836 - [c8]Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. ICLR 2023 - [c7]Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Diffusion-GAN: Training GANs with Diffusion. ICLR 2023 - [c6]Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou:
In-Context Learning Unlocked for Diffusion Models. NeurIPS 2023 - [c5]Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou:
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS 2023 - [c4]Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng:
Beta Diffusion. NeurIPS 2023 - [i12]Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou:
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR abs/2304.12526 (2023) - [i11]Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou:
In-Context Learning Unlocked for Diffusion Models. CoRR abs/2305.01115 (2023) - [i10]Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng:
Beta Diffusion. CoRR abs/2309.07867 (2023) - [i9]Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou:
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. CoRR abs/2310.06389 (2023) - [i8]Tianqi Chen, Yongfei Liu, Zhendong Wang, Jianbo Yuan, Quanzeng You, Hongxia Yang, Mingyuan Zhou:
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. CoRR abs/2312.01408 (2023) - 2022
- [i7]Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou:
A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR abs/2202.09673 (2022) - [i6]Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Diffusion-GAN: Training GANs with Diffusion. CoRR abs/2206.02262 (2022) - [i5]Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei:
Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR abs/2206.06584 (2022) - [i4]Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. CoRR abs/2208.06193 (2022) - 2020
- [c3]Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou:
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. ICLR 2020 - [c2]Zhendong Wang, Mingyuan Zhou:
Thompson Sampling via Local Uncertainty. ICML 2020: 10115-10125 - [c1]Yuguang Yue, Zhendong Wang, Mingyuan Zhou:
Implicit Distributional Reinforcement Learning. NeurIPS 2020 - [i3]Yuguang Yue, Zhendong Wang, Mingyuan Zhou:
Implicit Distributional Reinforcement Learning. CoRR abs/2007.06159 (2020)
2010 – 2019
- 2019
- [i2]Zhendong Wang, Mingyuan Zhou:
Thompson Sampling via Local Uncertainty. CoRR abs/1910.13673 (2019) - [i1]Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou:
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. CoRR abs/1912.13151 (2019)
Coauthor Index
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