Wang, Zhendong

25 publications

ICLR 2025 Adversarial Score Identity Distillation: Rapidly Surpassing the Teacher in One Step Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang

CVPR 2025 DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models Zhendong Wang, Jianmin Bao, Shuyang Gu, Dong Chen, Wengang Zhou, Houqiang Li

AAAI 2025 DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models Wei Chen, Jianwei Niu, Xuefeng Liu, Zhendong Wang, Shaojie Tang, Guogang Zhu

ICLR 2025 Guided Score Identity Distillation for Data-Free One-Step Text-to-Image Generation Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang

NeurIPS 2025 Improving Data Efficiency for LLM Reinforcement Fine-Tuning Through Difficulty-Targeted Online Data Selection and Rollout Replay Yifan Sun, Jingyan Shen, Yibin Wang, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang

ICML 2025 One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation 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

CVPR 2025 SmartEraser: Remove Anything from Images Using Masked-Region Guidance Longtao Jiang, Zhendong Wang, Jianmin Bao, Wengang Zhou, Dongdong Chen, Lei Shi, Dong Chen, Houqiang Li

NeurIPS 2024 Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning Tianyu Chen, Zhendong Wang, Mingyuan Zhou

MLJ 2024 Glacier: Guided Locally Constrained Counterfactual Explanations for Time Series Classification Zhendong Wang, Isak Samsten, Ioanna Miliou, Rami Mochaourab, Panagiotis Papapetrou

ICLR 2024 Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou

ICML 2024 Score Identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang

CVPR 2023 AltFreezing for More General Video Face Forgery Detection Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Houqiang Li

NeurIPS 2023 Beta Diffusion Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng

ICCV 2023 DIRE for Diffusion-Generated Image Detection Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li

ICLR 2023 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Zhendong Wang, Jonathan J Hunt, Mingyuan Zhou

ICLR 2023 Diffusion-GAN: Training GANs with Diffusion Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou

NeurIPS 2023 In-Context Learning Unlocked for Diffusion Models Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang "Atlas" Wang, Mingyuan Zhou

NeurIPS 2023 Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang "Atlas" Wang, Weizhu Chen, Mingyuan Zhou

AISTATS 2023 Probabilistic Conformal Prediction Using Conditional Random Samples Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David Blei

NeurIPSW 2022 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Zhendong Wang, Jonathan J Hunt, Mingyuan Zhou

CVPRW 2022 NTIRE 2022 Challenge on Night Photography Rendering Egor I. Ershov, Alexey Savchik, Denis A. Shepelev, Nikola Banic, Michael S. Brown, Radu Timofte, Karlo Koscevic, Michael Freeman, Vasily Tesalin, Dmitry Bocharov, Illya Semenkov, Marko Subasic, Sven Loncaric, Arseniy P. Terekhin, Shuai Liu, Chaoyu Feng, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei, Zhihao Li, Si Yi, Linghao Han, Ruiqi Wu, Xin Jin, Chunle Guo, Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Wei Li, Yipeng Ma, Tao Wang, Ruikang Xu, Fenglong Song, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, Sy-Yen Kuo, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chongyi Li, Xiangyu Chen, Binbin Song, Shile Zhang, Lin Liu, Zhendong Wang, Dohoon Ryu, Hyokyoung Bae, Taesung Kwon, Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Chinmayee Mandi, Sampada Malagi, Akash Uppin, Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

CVPR 2022 Uformer: A General U-Shaped Transformer for Image Restoration Zhendong Wang, Xiaodong Cun, Jianmin Bao, Wengang Zhou, Jianzhuang Liu, Houqiang Li

ICLR 2020 Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou

NeurIPS 2020 Implicit Distributional Reinforcement Learning Yuguang Yue, Zhendong Wang, Mingyuan Zhou

ICML 2020 Thompson Sampling via Local Uncertainty Zhendong Wang, Mingyuan Zhou