| Structured Inference for Recurrent Hidden Semi-markov Model. H Liu, L He, H Bai, B Dai, K Bai, Z Xu IJCAI, 2447-2453, 2018 | 18 | 2018 |
| Knowledge base completion by variational bayesian neural tensor decomposition L He, B Liu, G Li, Y Sheng, Y Wang, Z Xu Cognitive Computation 10 (6), 1075-1084, 2018 | 17 | 2018 |
| Mutual information gradient estimation for representation learning L Wen, Y Zhou, L He, M Zhou, Z Xu arXiv preprint arXiv:2005.01123, 2020 | 10 | 2020 |
| Neuralcp: Bayesian multiway data analysis with neural tensor decomposition B Liu, L He, Y Li, S Zhe, Z Xu Cognitive Computation 10 (6), 1051-1061, 2018 | 10 | 2018 |
| Link prediction by exploiting network formation games in exchangeable graphs L Wang, Y Wang, B Liu, L He, S Liu, G De Melo, Z Xu 2017 International Joint Conference on Neural Networks (IJCNN), 619-626, 2017 | 5 | 2017 |
| Stochastic sequential neural networks with structured inference H Liu, H Bai, L He, Z Xu arXiv preprint arXiv:1705.08695, 2017 | 4 | 2017 |
| DeepCP: Flexible Nonlinear Tensor Decomposition B Liu, L He, S Zhe, Y Li, Z Xu | 2 | 2017 |
| Gradient estimation of information measures in deep learning L Wen, H Bai, L He, Y Zhou, M Zhou, Z Xu Knowledge-Based Systems 224, 107046, 2021 | | 2021 |
| Deep Minimax Probability Machine L He, Z Guo, K Huang, Z Xu 2019 International Conference on Data Mining Workshops (ICDMW), 869-876, 2019 | | 2019 |
| Efficient Structured Inference for Stochastic Recurrent Neural Networks H Liu, L He, H Bai, Z Xu | | 2017 |
