I’m a postdoctoral research fellow working in Prof. Dinh Phung’s group.
I’m interested in statistical machine learning, especially Bayesian modelling and inference with deep learning.
I obtained my PhD from Monash University in 2019, working with Prof. Wray Buntine and Dr. Lan Du, and also collaborating with Prof. Piyush Rai and Prof. Mingyuan Zhou.
Before coming to Monash, I received my M.Eng from Nanjing University in 2014 and B.Eng from Nankai University in 2011, respectively. I was a visiting research student in Nanyang Technological University in 2014.
- H. Zhao, P. Rai, L. Du, W. Buntine, M. Zhou, “Variational Autoencoders for Sparse and Overdispersed Discrete Data”, Arxiv
- H. Zhao, L. Du, G. Liu, W. Buntine, “Leveraging Meta Information in Short Text Aggregation”, in Annual Meeting of the Association for Computational Linguistics (ACL) 2019. Link
- H. Zhao, L. Du, W. Buntine, M. Zhou, “Dirichlet Belief Networks for Topic Structure Learning”, in Neural Information Processing Systems (NeurIPS) 2018. PDF / Arxiv / Code
- H. Zhao, L. Du, W. Buntine, M. Zhou, “Inter and Intra Topic Structure Learning with Word Embeddings”, in International Conference on Machine Learning (ICML) 2018. PDF / Code / Link
- H. Zhao, L. Du, W. Buntine, P. Rai, “Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences”, in Artificial Intelligence and Statistics (AISTATS) 2018. Link / Code
- H. Zhao, L. Du, W. Buntine, “A Word Embeddings Informed Focused Topic Model”, in Asian Conference on Machine Learning (ACML) 2017. Link
- H. Zhao, L. Du, W. Buntine, G. Liu, “MetaLDA: a Topic Model that Efficiently Incorporates Meta information”, a regular paper in International Conference on Data Mining (ICDM) 2017. Arxiv / Code / Link
- H. Zhao, L. Du, W. Buntine, “Leveraging Node Attributes for Incomplete Relational Data”, International Conference on Machine Learning (ICML) 2017. Arxiv / Code / Link
- H. Hu, J. Huang, H. Zhao, Y. Wen, C. Chen, T. Chua, “Social TV Analytics: a Novel Paradigm to Transform TV Watching Experience”, ACM Multimedia Systems Conference 2014. Link
- H. Zhao, C. Peng, Y. Yu, Y. Zhou, Z. Wang, S. Du, “Cost-aware Automatic Virtual Machine Scaling in Fine Granularity for Cloud Applications”, International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery 2013. Link
- Q. Yang, C. Peng, Y. Yu, H. Zhao, Y. Zhou, Z. Wang, S. Du, “Host Load Prediction Based on PSR and EA-GMDH for Cloud Computing System”, International Conference on Cloud and Green Computing 2013. Link / Best Paper Award
- H. Zhao, L. Du, W. Buntine, G. Liu, “Leveraging External Information In Topic Modelling”, in Knowledge and Information Systems (KAIS) 2018. Link
- J. Capdevila, H. Zhao, F. Petitjean, W. Buntine, “Experiments with learning graphical models on text”, in Behaviormetrika 2018. Link
- Q. Yang, C. Peng, H. Zhao, Y. Yu, Y. Zhou, Z. Wang, S. Du, “A New Method Based on PSR and EA-GMDH for Host Load Prediction in Cloud Computing System”, Journal of Supercomputing 2014. Link
- Journal reviewer: TPAMI, TNNLS, Machine Learning Jounral, KAIS
- Conference reviewer or PC member:
AAAI 2020, ICLR 2020, NeurIPS 2019, ICML 2019, ICLR 2019, AAAI 2019, ACML 2019, NeurIPS 2018 (top 30% highest-scoring reviewer), ACML 2018, UAI 2017, ACL 2018 (sub-reviewer), AAAI 2017 (sub-reviewer)
- Student volunteer:
AISTATS 2018, UAI 2017, IJCAI 2017