20132019
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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 journalArticleResearchpeer-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 proceedingConference PaperResearchpeer-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 proceedingChapter (Book)Researchpeer-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 journalArticleResearchpeer-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 proceedingConference PaperResearchpeer-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 typesPeer review responsibility

International Conference on Learning Representations 2019 (Event)

He Zhao (Peer reviewer)
2019

Activity: Publication peer-review and editorial work typesPeer review responsibility

Advances in Neural Information Processing Systems (Event)

He Zhao (Peer reviewer)
20182019

Activity: Publication peer-review and editorial work typesPeer review responsibility

IEEE Transactions on Neural Networks and Learning Systems (Journal)

He Zhao (Peer reviewer)
2018

Activity: Publication peer-review and editorial work typesPeer review responsibility

Asian Conference on Machine Learning (Event)

He Zhao (Peer reviewer)
20182019

Activity: Publication peer-review and editorial work typesPeer review responsibility