| Topic Modelling Meets Deep Neural Networks: A Survey H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine Thirtieth International Joint Conference on Artificial Intelligence (IJCAI …, 2021 | 147 | 2021 |
| NEURAL TOPIC MODEL VIA OPTIMAL TRANSPORT H Zhao, D Phung, V Huynh, T Le, W Buntine International Conference on Learning Representations, 2021 | 62 | 2021 |
| 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 | 61 | 2020 |
| Leveraging node attributes for incomplete relational data H Zhao, L Du, W Buntine International conference on machine learning, 4072-4081, 2017 | 57 | 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 | 53 | 2017 |
| 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, 1402-1417, 2014 | 51 | 2014 |
| 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 | 48 | 2021 |
| A word embeddings informed focused topic model H Zhao, L Du, W Buntine Asian conference on machine learning, 423-438, 2017 | 43 | 2017 |
| Dirichlet belief networks for topic structure learning H Zhao, L Du, W Buntine, M Zhou Advances in neural information processing systems, 7966--7977, 2018 | 40* | 2018 |
| A Unified Wasserstein Distributional Robustness Framework for Adversarial Training TA Bui, T Le, Q Tran, H Zhao, D Phung International Conference on Learning Representations, 2022 | 37 | 2022 |
| Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings D Wang, D Guo, H Zhao, H Zheng, K Tanwisuth, B Chen, M Zhou International Conference on Learning Representations, 2022 | 34 | 2022 |
| Contrastively enforcing distinctiveness for multi-label image classification SD Dao, H Zhao, D Phung, J Cai Neurocomputing 555, 126605, 2023 | 30* | 2023 |
| 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 | 29 | 2014 |
| 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 | 26 | 2020 |
| 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 | 26 | 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 | 22 | 2018 |
| Leveraging external information in topic modelling H Zhao, L Du, W Buntine, G Liu Knowledge and Information Systems 61, 661-693, 2019 | 21 | 2019 |
| Learning to re-weight examples with optimal transport for imbalanced classification D Guo, Z Li, M Zheng, H Zhao, M Zhou, H Zha NeurIPS 2022, 2022 | 20 | 2022 |
| Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport D Guo, L Tian, H Zhao, M Zhou, H Zha NeurIPS 2022, 2022 | 19 | 2022 |
| A label-aware autoregressive framework for cross-domain NER J Hu, H Zhao, D Guo, X Wan, TH Chang Findings of the Association for Computational Linguistics: NAACL 2022, 2222-2232, 2022 | 18 | 2022 |
