Zhendong Wang - RankMe

43 papers A* 14A 1Journal 28

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step. ICLR Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang
2025	J	`jnl`	Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation. CoRR Tianyu Chen, Yasi Zhang, Zhendong Wang, Ying Nian Wu, Oscar Leong, Mingyuan Zhou
2025	J	`jnl`	Distilled Protein Backbone Generation. CoRR Liyang Xie, Haoran Zhang, Zhendong Wang, Wesley Tansey, Mingyuan Zhou
2025	J	`jnl`	EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing. CoRR 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
2025	J	`jnl`	Few-Step Diffusion via Score identity Distillation. CoRR Mingyuan Zhou, Yi Gu, Zhendong Wang
2025	A*	`conf`	Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation. ICLR Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang
2025	J	`jnl`	Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay. CoRR Yifan Sun, Jingyan Shen, Yibin Wang, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang
2025	A*	`conf`	One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. ICML Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
2025	J	`jnl`	Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation. CoRR Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong
2024	J	`jnl`	Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step. CoRR Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang
2024	A*	`conf`	Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning. NeurIPS Tianyu Chen, Zhendong Wang, Mingyuan Zhou
2024	J	`jnl`	Diffusion Policies creating a Trust Region for Offline Reinforcement Learning. CoRR Tianyu Chen, Zhendong Wang, Mingyuan Zhou
2024	J	`jnl`	Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization. CoRR Yi Gu, Zhendong Wang, Yueqin Yin, Yujia Xie, Mingyuan Zhou
2024	J	`jnl`	Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization. CoRR Tianyu Chen, Zhendong Wang, Mingyuan Zhou
2024	A*	`conf`	Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. ICLR Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2024	J	`jnl`	Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation. CoRR Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang
2024	J	`jnl`	One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. CoRR 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
2024	J	`jnl`	Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts. CoRR Yueqin Yin, Zhendong Wang, Yi Gu, Hai Huang, Weizhu Chen, Mingyuan Zhou
2024	A*	`conf`	Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. ICML Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang
2024	J	`jnl`	Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. CoRR Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang
2024	J	`jnl`	Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment. CoRR Yueqin Yin, Zhendong Wang, Yujia Xie, Weizhu Chen, Mingyuan Zhou
2024	J	`jnl`	Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang
2023	A*	`conf`	Beta Diffusion. NeurIPS Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
2023	J	`jnl`	Beta Diffusion. CoRR Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
2023	A*	`conf`	Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. ICLR Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
2023	A*	`conf`	Diffusion-GAN: Training GANs with Diffusion. ICLR Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. CoRR Tianqi Chen, Yongfei Liu, Zhendong Wang, Jianbo Yuan, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2023	A*	`conf`	In-Context Learning Unlocked for Diffusion Models. NeurIPS Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou
2023	J	`jnl`	In-Context Learning Unlocked for Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
2023	J	`jnl`	Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. CoRR Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2023	A*	`conf`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	A	`conf`	Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
2022	J	`jnl`	A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou
2022	J	`jnl`	Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. CoRR Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
2022	J	`jnl`	Diffusion-GAN: Training GANs with Diffusion. CoRR Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	J	`jnl`	Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
2020	A*	`conf`	Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. ICLR Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou
2020	A*	`conf`	Implicit Distributional Reinforcement Learning. NeurIPS Yuguang Yue, Zhendong Wang, Mingyuan Zhou
2020	J	`jnl`	Implicit Distributional Reinforcement Learning. CoRR Yuguang Yue, Zhendong Wang, Mingyuan Zhou
2020	A*	`conf`	Thompson Sampling via Local Uncertainty. ICML Zhendong Wang, Mingyuan Zhou
2019	J	`jnl`	Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. CoRR Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou
2019	J	`jnl`	Thompson Sampling via Local Uncertainty. CoRR Zhendong Wang, Mingyuan Zhou