Lirong He
Cited by
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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
Structured Inference for Recurrent Hidden Semi-markov Model.
H Liu, L He, H Bai, B Dai, K Bai, Z Xu
IJCAI, 2447-2453, 2018
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
Mutual information gradient estimation for representation learning
L Wen, Y Zhou, L He, M Zhou, Z Xu
arXiv preprint arXiv:2005.01123, 2020
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
Stochastic sequential neural networks with structured inference
H Liu, H Bai, L He, Z Xu
arXiv preprint arXiv:1705.08695, 2017
DeepCP: Flexible Nonlinear Tensor Decomposition
B Liu, L He, S Zhe, Y Li, Z Xu
NeurIPS Workshops 3, 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
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
Q Ai, L He, S Liu, Z Xu
arXiv preprint arXiv:2107.09286, 2021
Deep Minimax Probability Machine
L He, Z Guo, K Huang, Z Xu
2019 International Conference on Data Mining Workshops (ICDMW), 869-876, 2019
Efficient Structured Inference for Stochastic Recurrent Neural Networks
H Liu, L He, H Bai, Z Xu
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