Research Output per year
Personal profile
Biography
I’m a postdoctoral research fellow in the Faculty of IT, Monash University. I obtained my PhD from Monash in 2019. I’m interested in statistical machine learning, especially Bayesian modelling and inference with deep learning. My personal website is https://ethanhezhao.github.io.
Keywords
- Bayesian Statistics
- Machine Learning
- Deep Generative Models
Research Output 2013 2019
Leveraging external information in topic modelling
Zhao, H., Du, L., Buntine, W. & Liu, G., 2019, (Accepted/In press) In : Knowledge and Information Systems. p. 1-33 33 p.Research output: Contribution to journal › Article › Research › peer-review
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences
Zhao, H., Rai, P., Du, L. & Buntine, W., 2018, 2018 Twenty-First International Conference on Artificial Intelligence and Statistics, AISTATS 2018 : 9-11 April 2018, Lanzarote, Canary Islands, Proceedings . Storkey, A. & Perez-Cruz, F. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 1943-1951 9 p. (Proceedings of Machine Learning Research; vol. 84).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access
Dirichlet belief networks for topic structure learning
Zhao, H., Du, L., Buntine, W. & Zhou, M., 2018, NIPS Proceedings: Advances in Neural Information Processing Systems 31 (NIPS 2018). Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), p. 7966-7977 12 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review
Open Access
File
Experiments with learning graphical models on text
Capdevila, J., Zhao, E., Petitjean, F. & Buntine, W. L., Oct 2018, In : Behaviormetrika. 45, 2, p. 363-387 25 p.Research output: Contribution to journal › Article › Research › peer-review
Inter and intra topic structure learning with word embeddings
Zhao, H., Du, L., Buntine, W. & Zhou, M., 2018, Proceedings of Machine Learning Research: International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden. Dy, J. & Krause, A. (eds.). Stockholmsmässan Stockholm Sweden: Proceedings of Machine Learning Research (PMLR), Vol. 80. 10 p. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access
File
Activities 2017 2019
- 9 Peer review responsibility
AAAI Conference on Artificial Intelligence (Event)
He Zhao (Peer reviewer)2019
Activity: Publication peer-review and editorial work types › Peer review responsibility
International Conference on Learning Representations 2019 (Event)
He Zhao (Peer reviewer)2019
Activity: Publication peer-review and editorial work types › Peer review responsibility
Advances in Neural Information Processing Systems (Event)
He Zhao (Peer reviewer)2018 → 2019
Activity: Publication peer-review and editorial work types › Peer review responsibility
IEEE Transactions on Neural Networks and Learning Systems (Journal)
He Zhao (Peer reviewer)2018
Activity: Publication peer-review and editorial work types › Peer review responsibility
Asian Conference on Machine Learning (Event)
He Zhao (Peer reviewer)2018 → 2019
Activity: Publication peer-review and editorial work types › Peer review responsibility