| Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning Z Wang, JJ Hunt, M Zhou ICLR 2023, 2022 | 601 | 2022 |
| Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images M Zhou, H Chen, J Paisley, L Ren, L Li, Z Xing, D Dunson, G Sapiro, ... IEEE Transactions on Image Processing 21 (1), 130-144, 2012 | 476 | 2012 |
| Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 423* | 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, 2023 | 404 | 2023 |
| Diffusion-GAN: Training GANs with Diffusion Z Wang, H Zheng, P He, W Chen, M Zhou ICLR 2023, 2022 | 397 | 2022 |
| Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations M Zhou, H Chen, J Paisley, L Ren, G Sapiro, L Carin NIPS 2009, 2009 | 343 | 2009 |
| Masking: A New Perspective of Noisy Supervision B Han, J Yao, G Niu, M Zhou, I Tsang, Y Zhang, M Sugiyama NeurIPS 2018, 2018 | 322 | 2018 |
| Beta-Negative Binomial Process and Poisson Factor Analysis M Zhou, L Hannah, D Dunson, L Carin AISTATS 2012, 2011 | 310 | 2011 |
| Negative binomial process count and mixture modeling M Zhou, L Carin IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2), 307-320, 2015 | 293 | 2015 |
| Variational graph recurrent neural networks E Hajiramezanali, A Hasanzadeh, K Narayanan, N Duffield, M Zhou, ... NeurIPS 2019, 10701-10711, 2019 | 281 | 2019 |
| Meta-Learning without Memorization M Yin, G Tucker, M Zhou, S Levine, C Finn ICLR 2020, 2019 | 261 | 2019 |
| Semi-Implicit Variational Inference M Yin, M Zhou ICML 2018, 2018 | 216 | 2018 |
| Card: Classification and regression diffusion models X Han, H Zheng, M Zhou Advances in Neural Information Processing Systems 35, 18100-18115, 2022 | 207 | 2022 |
| Adversarially Adaptive Normalization for Single Domain Generalization X Fan, Q Wang, J Ke, F Yang, B Gong, M Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 200 | 2021 |
| Semi-implicit graph variational auto-encoders A Hasanzadeh, E Hajiramezanali, K Narayanan, N Duffield, M Zhou, ... Advances in neural information processing systems 32, 2019 | 188 | 2019 |
| Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction M Zhou AISTATS 2015, 2015 | 187 | 2015 |
| Bayesian Graph Neural Networks with Adaptive Connection Sampling A Hasanzadeh, E Hajiramezanali, S Boluki, M Zhou, N Duffield, ... ICML 2020, 2020 | 180 | 2020 |
| Lognormal and Gamma Mixed Negative Binomial Regression M Zhou, L Li, D Dunson, L Carin ICML 2012, 2012 | 156 | 2012 |
| Dictionary Learning for Noisy and Incomplete Hyperspectral Images Z Xing, M Zhou, A Castrodad, G Sapiro, L Carin SIAM Journal on Imaging Sciences 5, 33, 2012 | 151 | 2012 |
| Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders H Zheng, P He, W Chen, M Zhou ICLR 2023, 2022 | 149* | 2022 |
Bo ChenProfessor at School of Electronic Engineering, Xidian UniversityVerified email at mail.xidian.edu.cn
