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 | 161 | 2021 |
NEURAL TOPIC MODEL VIA OPTIMAL TRANSPORT H Zhao, D Phung, V Huynh, T Le, W Buntine International Conference on Learning Representations, 2021 | 72 | 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 | 67 | 2020 |
Leveraging node attributes for incomplete relational data H Zhao, L Du, W Buntine International conference on machine learning, 4072-4081, 2017 | 58 | 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 | 56 | 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 | 52 | 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 | 51 | 2021 |
A word embeddings informed focused topic model H Zhao, L Du, W Buntine Asian conference on machine learning, 423-438, 2017 | 44 | 2017 |
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 | 41 | 2022 |
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 | 41 | 2022 |
Dirichlet belief networks for topic structure learning H Zhao, L Du, W Buntine, M Zhou Advances in neural information processing systems, 7966--7977, 2018 | 41* | 2018 |
Contrastively enforcing distinctiveness for multi-label image classification SD Dao, H Zhao, D Phung, J Cai Neurocomputing 555, 126605, 2023 | 33* | 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 |
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 | 27 | 2022 |
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 | 27 | 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 | 27 | 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 | 23 | 2018 |
Transformed Distribution Matching for Missing Value Imputation H Zhao, K Sun, A Dezfouli, E Bonilla International Conference on Machine Learning, 2023 | 21 | 2023 |
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 | 21 | 2020 |
Leveraging external information in topic modelling H Zhao, L Du, W Buntine, G Liu Knowledge and Information Systems 61, 661-693, 2019 | 21 | 2019 |