| Diffusion policies as an expressive policy class for offline reinforcement learning Z Wang, JJ Hunt, M Zhou arXiv preprint arXiv:2208.06193, 2022 | 340 | 2022 |
| Diffusion-gan: Training gans with diffusion Z Wang, H Zheng, P He, W Chen, M Zhou arXiv preprint arXiv:2206.02262, 2022 | 262 | 2022 |
| Patch diffusion: Faster and more data-efficient training of diffusion models Z Wang, Y Jiang, H Zheng, P Wang, P He, Z Wang, W Chen, M Zhou Advances in neural information processing systems 36, 72137-72154, 2023 | 215 | 2023 |
| In-context learning unlocked for diffusion models Z Wang, Y Jiang, Y Lu, P He, W Chen, Z Wang, M Zhou Advances in Neural Information Processing Systems 36, 8542-8562, 2023 | 64 | 2023 |
| Score identity distillation: Exponentially fast distillation of pretrained diffusion models for one-step generation M Zhou, H Zheng, Z Wang, M Yin, H Huang Forty-first International Conference on Machine Learning, 2024 | 28 | 2024 |
| Thompson sampling via local uncertainty Z Wang, M Zhou International Conference on Machine Learning, 10115-10125, 2020 | 26 | 2020 |
| Implicit Distributional Reinforcement Learning Y Yue, Z Wang, M Zhou Advances in Neural Information Processing Systems 33, 7135-7147, 2020 | 24 | 2020 |
| Probabilistic conformal prediction using conditional random samples Z Wang, R Gao, M Yin, M Zhou, DM Blei arXiv preprint arXiv:2206.06584, 2022 | 23 | 2022 |
| A Behavior Regularized Implicit Policy for Offline Reinforcement Learning S Yang, Z Wang, H Zheng, Y Feng, M Zhou arXiv preprint arXiv:2202.09673, 2022 | 19 | 2022 |
| Relative preference optimization: Enhancing llm alignment through contrasting responses across identical and diverse prompts Y Yin, Z Wang, Y Gu, H Huang, W Chen, M Zhou arXiv preprint arXiv:2402.10958, 2024 | 16 | 2024 |
| Beta diffusion M Zhou, T Chen, Z Wang, H Zheng Advances in Neural Information Processing Systems 36, 30070-30095, 2023 | 12 | 2023 |
| Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation M Zhou, Z Wang, H Zheng, H Huang The Thirteenth International Conference on Learning Representations, 0 | 7* | |
| One-step diffusion policy: Fast visuomotor policies via diffusion distillation Z Wang, Z Li, A Mandlekar, Z Xu, J Fan, Y Narang, L Fan, Y Zhu, Y Balaji, ... arXiv preprint arXiv:2410.21257, 2024 | 6 | 2024 |
| Diffusion policies creating a trust region for offline reinforcement learning T Chen, Z Wang, M Zhou arXiv preprint arXiv:2405.19690, 2024 | 6 | 2024 |
| Improving in-context learning in diffusion models with visual context-modulated prompts T Chen, Y Liu, Z Wang, J Yuan, Q You, H Yang, M Zhou arXiv preprint arXiv:2312.01408, 2023 | 5 | 2023 |
| Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation X Fan, Y Zhang, Z Wang, M Zhou International Conference on Learning Representations 2020, 2019 | 4 | 2019 |
| Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step M Zhou, H Zheng, Y Gu, Z Wang, H Huang arXiv preprint arXiv:2410.14919, 2024 | 3 | 2024 |
| Diffusion-rpo: Aligning diffusion models through relative preference optimization Y Gu, Z Wang, Y Yin, Y Xie, M Zhou arXiv preprint arXiv:2406.06382, 2024 | 3 | 2024 |
| Learning stackable and skippable LEGO bricks for efficient, reconfigurable, and variable-resolution diffusion modeling H Zheng, Z Wang, J Yuan, G Ning, P He, Q You, H Yang, M Zhou arXiv preprint arXiv:2310.06389, 2023 | 3 | 2023 |
| Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization T Chen, Z Wang, M Zhou arXiv preprint arXiv:2412.03941, 2024 | | 2024 |
Mingyuan ZhouAssociate Professor, University of Texas at AustinZweryfikowany adres z mccombs.utexas.edu