An L1-based variational model for Retinex theory and its application to medical images W Ma, JM Morel, S Osher, A Chien CVPR 2011, 153-160, 2011 | 128 | 2011 |
A TV Bregman iterative model of Retinex theory W Ma, S Osher Inverse Problems & Imaging, 2012 | 113 | 2012 |
Douzero: Mastering doudizhu with self-play deep reinforcement learning D Zha, J Xie, W Ma, S Zhang, X Lian, X Hu, J Liu international conference on machine learning, 12333-12344, 2021 | 106 | 2021 |
Fast Single Image Reflection Suppression via Convex Optimization Y Yang, W Ma, Y Zheng, JF Cai, W Xu CVPR 2019, 2019 | 61 | 2019 |
Rank the episodes: A simple approach for exploration in procedurally-generated environments D Zha, W Ma, L Yuan, X Hu, J Liu arXiv preprint arXiv:2101.08152, 2021 | 50 | 2021 |
Online adaptive asymmetric active learning for budgeted imbalanced data Y Zhang, P Zhao, J Cao, W Ma, J Huang, Q Wu, M Tan Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 46 | 2018 |
Multi-Channel l1 Regularized Convex Speech Enhancement Model and Fast Computation by the Split Bregman Method M Yu, W Ma, J Xin, S Osher IEEE Transactions on Audio Speech and LanguageProcessing 20 (2), 661, 2012 | 20 | 2012 |
RaFM: Rank-Aware Factorization Machines X Chen, Y Zheng, J Wang, W Ma, J Huang ICML 2019 arXiv:1905.07570, 2019 | 13 | 2019 |
A generalized locally linear factorization machine with supervised variational encoding X Chen, Y Zheng, P Zhao, Z Jiang, W Ma, J Huang IEEE Transactions on Knowledge and Data Engineering 32 (6), 1036-1049, 2019 | 8 | 2019 |
Reducing musical noise in blind source separation by time-domain sparse filters and split Bregman method W Ma, M Yu, J Xin, S Osher Eleventh Annual Conference of the International Speech Communication Association, 2010 | 8 | 2010 |
A Convex Model and l1 Minimization for Musical Noise Reduction in Blind Source Separation W Ma, M Yu, J Xin, S Osher Commun. Math. Sci. 10 (1), 223-238, 2012 | 4 | 2012 |
Convexity and fast speech extraction by split Bregman method M Yu, W Ma, J Xin, S Osher Eleventh Annual Conference of the International Speech Communication Association, 2010 | 4 | 2010 |
Projective Quadratic Regression for Online Learning W Ma AAAI 2020, arXiv:1911.10658, 2019 | 1 | 2019 |
AdnFM: An Attentive DenseNet based Factorization Machine for Click-Through-Rate Prediction K Wang, C Shen, C Zhang, W Ma Proceedings of the 2022 8th International Conference on Computing and Data …, 2022 | | 2022 |
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction K Wang, C Shen, CZW Ma arXiv preprint arXiv:2012.10820, 2020 | | 2020 |
N= 2 SCVA’s FROM A GENERALIZED CALABI-YAU MANIFOLD AND MIRROR SYMMETRY S HU, WY MA, JP QIU Acta Mathematica Scientia, 2009 | | 2009 |