| 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 | 42 | 2014 |
| A word embeddings informed focused topic model H Zhao, L Du, W Buntine Asian conference on machine learning, 423-438, 2017 | 36 | 2017 |
| 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 | 33 | 2017 |
| Leveraging node attributes for incomplete relational data H Zhao, L Du, W Buntine International conference on machine learning, 4072-4081, 2017 | 30 | 2017 |
| 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 | 27 | 2014 |
| Summpip: Unsupervised multi-document summarization with sentence graph compression J Zhao, M Liu, L Gao, Y Jin, L Du, H Zhao, H Zhang, G Haffari Proceedings of the 43rd international acm sigir conference on research and …, 2020 | 21 | 2020 |
| Topic Modelling Meets Deep Neural Networks: A Survey H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 19 | 2021 |
| Dirichlet belief networks for topic structure learning H Zhao, L Du, W Buntine, M Zhou Advances in neural information processing systems, 7966--7977, 2018 | 19 | 2018 |
| Leveraging external information in topic modelling H Zhao, L Du, W Buntine, G Liu Knowledge and Information Systems 61 (2), 661-693, 2019 | 15 | 2019 |
| 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 | 13 | 2013 |
| Improving adversarial robustness by enforcing local and global compactness A Bui, T Le, H Zhao, P Montague, O deVel, T Abraham, D Phung European Conference on Computer Vision, 209-223, 2020 | 12 | 2020 |
| 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 | 12 | 2018 |
| 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 | 11 | 2018 |
| Most: Multi-source domain adaptation via optimal transport for student-teacher learning T Nguyen, T Le, H Zhao, QH Tran, T Nguyen, D Phung Uncertainty in Artificial Intelligence, 225-235, 2021 | 9 | 2021 |
| 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 | 9 | 2020 |
| NEURAL TOPIC MODEL VIA OPTIMAL TRANSPORT H Zhao, D Phung, V Huynh, T Le, W Buntine International Conference on Learning Representations, 2021 | 8 | 2021 |
| Understanding and achieving efficient robustness with adversarial contrastive learning A Bui, T Le, H Zhao, P Montague, S Camtepe, D Phung | 7* | 2021 |
| OTLDA: A geometry-aware optimal transport approach for topic modeling V Huynh, H Zhao, D Phung Advances in Neural Information Processing Systems 33, 18573-18582, 2020 | 5 | 2020 |
| Experiments with learning graphical models on text J Capdevila, H Zhao, F Petitjean, W Buntine Behaviormetrika 45 (2), 363-387, 2018 | 5 | 2018 |
| 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 | 3 | 2019 |
