| Maximal Sparsity with Deep Networks? B Xin, Y Wang, W Gao, D Wipf Advances in Neural Information Processing Systems (NIPS 2016), 2016 | 194 | 2016 |
| Background Subtraction via Generalized Fused Lasso Foreground Modeling B Xin, Y Tian, Y Wang, W Gao The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), 2015 | 123 | 2015 |
| Efficient Generalized Fused Lasso with its Application to the Diagnosis of Alzheimer’s Disease B Xin, Y Kawahara, Y Wang, W Gao Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2014), 2014 | 110 | 2014 |
| Collaborative Deep Reinforcement Learning for Joint Object Search X Kong, B Xin, W Yizhou, G Hua The 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), 2017 | 102 | 2017 |
| Revisiting the master-slave architecture in multi-agent deep reinforcement learning X Kong, B Xin, F Liu, Y Wang arXiv preprint arXiv:1712.07305, 2017 | 64 | 2017 |
| From Bayesian sparsity to gated recurrent nets H He, B Xin, S Ikehata, D Wipf Advances in Neural Information Processing Systems 30, 2017 | 38 | 2017 |
| Efficient Generalized Fused Lasso and Its Applications B Xin, Y Kawahara, Y Wang, L Hu, W Gao ACM Transactions on Intelligent Systems and Technology (TIST), 2016 | 37 | 2016 |
| Stable Feature Selection from Brain sMRI B Xin, L Hu, Y Wang, W Gao The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), 2015 | 23 | 2015 |
| Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints B Xin, D Wipf | 22 | 2015 |
| Building invariances into sparse subspace clustering B Xin, Y Wang, W Gao, D Wipf IEEE Transactions on signal processing 66 (2), 449-462, 2017 | 13 | 2017 |
| Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA B Xin, D Wipf The 32nd International Conference on Machine Learning (ICML2015), 2015 | 13 | 2015 |
| An interactive system of stereoscopic video conversion Z Zhang, C Zhou, B Xin, Y Wang, W Gao Proceedings of the 20th ACM international conference on Multimedia, 149-158, 2012 | 13 | 2012 |
| Improving person re-identification with iterative impression aggregation D Fu, B Xin, J Wang, D Chen, J Bao, G Hua, H Li IEEE Transactions on Image Processing 29, 9559-9571, 2020 | 11 | 2020 |
| Data-Dependent Sparsity for Subspace Clustering. B Xin, Y Wang, W Gao, DP Wipf UAI, 2017 | 7 | 2017 |
| Effective master-slave communication on a multiagent deep reinforcement learning system X Kong, B Xin, F Liu, Y Wang Hierarchical Reinforcement Learning Workshop at the 31st Conference on NIPS …, 2017 | 3 | 2017 |
| Subspace Clustering with a Twist D Wipf, Y Dong, B Xin Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016 | 2 | 2016 |
| From sparse bayesian learning to deep recurrent nets H He, B Xin, D Wipf NIPS, 2017 | 1 | 2017 |
| From Bayesian Sparsity to Gated Recurrent Nets− Supplementary File− H He, B Xin, S Ikehata, D Wipf | | |
| SSoC: Learning Spontaneous and Self-Organizing Communication for Multi-Agent Collaboration X Kong, J Li, B Xin, Y Wang | | |
| Supplementary File: Data-Dependent Sparsity for Subspace Clustering B Xin, Y Wang, W Gao, D Wipf | | |
Xiangyu KongBeijing Information Science & Technology UniversityCorreu electrònic verificat a bistu.edu.cn