He Zhao
Title
Cited by
Cited by
Year
A new method based on PSR and EA-GMDH for host load prediction in cloud computing system
Q Yang, C Peng, H Zhao, Y Yu, Y Zhou, Z Wang, S Du
The Journal of Supercomputing 68 (3), 1402-1417, 2014
412014
A word embeddings informed focused topic model
H Zhao, L Du, W Buntine
Asian conference on machine learning, 423-438, 2017
292017
MetaLDA: A topic model that efficiently incorporates meta information
H Zhao, L Du, W Buntine, G Liu
2017 IEEE International Conference on Data Mining (ICDM), 635-644, 2017
262017
Social tv analytics: a novel paradigm to transform tv watching experience
H Hu, J Huang, H Zhao, Y Wen, CW Chen, TS Chua
Proceedings of the 5th ACM Multimedia Systems Conference, 172-175, 2014
262014
Leveraging node attributes for incomplete relational data
H Zhao, L Du, W Buntine
International Conference on Machine Learning, 4072-4081, 2017
222017
Dirichlet belief networks for topic structure learning
H Zhao, L Du, W Buntine, M Zhou
arXiv preprint arXiv:1811.00717, 2018
202018
Host load prediction based on PSR and EA-GMDH for cloud computing system
Q Yang, C Peng, Y Yu, H Zhao, Y Zhou, Z Wang, S Du
2013 International Conference on Cloud and Green Computing, 9-15, 2013
132013
Leveraging external information in topic modelling
H Zhao, L Du, W Buntine, G Liu
Knowledge and Information Systems 61 (2), 661-693, 2019
112019
Inter and intra topic structure learning with word embeddings
H Zhao, L Du, W Buntine, M Zhou
International Conference on Machine Learning, 5892-5901, 2018
102018
Inter and intra topic structure learning with word embeddings
H Zhao, L Du, W Buntine, M Zhou
International Conference on Machine Learning, 5892-5901, 2018
102018
Bayesian multi-label learning with sparse features and labels, and label co-occurrences
H Zhao, P Rai, L Du, W Buntine
International Conference on Artificial Intelligence and Statistics, 1943-1951, 2018
82018
Variational autoencoders for sparse and overdispersed discrete data
H Zhao, P Rai, L Du, W Buntine, D Phung, M Zhou
International Conference on Artificial Intelligence and Statistics, 1684-1694, 2020
62020
Topic Modelling Meets Deep Neural Networks: A Survey
H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine
arXiv preprint arXiv:2103.00498, 2021
52021
Improving adversarial robustness by enforcing local and global compactness
A Bui, T Le, H Zhao, P Montague, O deVel, T Abraham, D Phung
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
52020
Experiments with learning graphical models on text
J Capdevila, H Zhao, F Petitjean, W Buntine
Behaviormetrika 45 (2), 363-387, 2018
52018
Perturbations are not enough: Generating adversarial examples with spatial distortions
H Zhao, T Le, P Montague, O De Vel, T Abraham, D Phung
arXiv preprint arXiv:1910.01329, 2019
32019
Most: Multi-source domain adaptation via optimal transport for student-teacher learning
T Nguyen, T Le, H Zhao, QH Tran, T Nguyen, D Phung
UAI, 2021
22021
NEURAL TOPIC MODEL VIA OPTIMAL TRANSPORT
H Zhao, D Phung, V Huynh, T Le, W Buntine
arXiv preprint arXiv:2008.13537, 2020
22020
Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability
M Hossam, T Le, H Zhao, D Phung
2020 25th International Conference on Pattern Recognition (ICPR), 8922-8928, 2021
12021
OTLDA: A geometry-aware optimal transport approach for topic modeling
V Huynh, H Zhao, D Phung
Advances in Neural Information Processing Systems 33, 2020
12020
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