Erdun Gao

Dr Erdun Gao

Grant-Funded Researcher

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

  • Appointments
    Date Position Institution name
    2024 - ongoing Researcher University of Adelaide

  • Journals
    Year Citation
    2025 Gao, E., Bondell, H., Huang, S., & Gong, M. (2025). Domain generalization via content factors isolation: a two-level latent variable modeling approach. Machine Learning, 114(4).
    DOI
    2024 Yang, Z., Chu, T., Lin, X., Gao, E., Liu, D., Yang, J., & Wang, C. (2024). Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion. IEEE Transactions on Circuits and Systems for Video Technology, 34(2), 1316-1320.
    DOI Scopus11
    2023 Zhang, X., Pan, Z., Zhou, Q., Gao, E., Gao, X., & Fan, G. (2023). A novel two-level embedding pattern for grayscale-invariant reversible data hiding. Multimedia Tools and Applications, 82(22), 33911-33935.
    DOI Scopus3
    2021 Fan, G., Pan, Z., Gao, E., Gao, X., & Zhang, X. (2021). Reversible data hiding method based on combining IPVO with bias-added Rhombus predictor by multi-predictor mechanism. Signal Processing, 180, 107888.
    DOI Scopus24
    2021 Gao, E., Chen, J., Shen, L., Liu, T., Gong, M., & Bondell, H. (2021). FedDAG: Federated DAG Structure Learning.
    2020 Pan, Z., Gao, X., Gao, E., & Fan, G. (2020). Adaptive complexity for pixel-value-ordering based reversible data hiding. IEEE Signal Processing Letters, 27, 915-919.
    DOI Scopus35
    2020 Gao, X., Pan, Z., Gao, E., & Fan, G. (2020). Reversible data hiding for high dynamic range images using two-dimensional prediction-error histogram of the second time prediction. Signal Processing, 173, 107579.
    DOI Scopus45
    2020 Pan, Z., Gao, X., Wang, L., & Gao, E. (2020). Effective reversible data hiding using dynamic neighboring pixels prediction based on prediction-error histogram. Multimedia Tools and Applications, 79(17-18), 12569-12595.
    DOI Scopus12
    2019 Gao, E., Pan, Z., & Gao, X. (2019). Reversible data hiding based on novel pairwise PVO and annular merging strategy. Information Sciences, 505, 549-561.
    DOI Scopus29
    2019 Pan, Z., & Gao, E. (2019). Reversible data hiding based on novel embedding structure PVO and adaptive block-merging strategy. Multimedia Tools and Applications, 78(18), 26047-26071.
    DOI Scopus13
    2019 Pan, Z., Gao, E., Zhu, R., & Wang, L. (2019). A low bit-rate SOC-based reversible data hiding algorithm by using new encoding strategies. Multimedia Tools and Applications, 78(15), 21223-21244.
    DOI Scopus2

  • Conference Papers
    Year Citation
    2024 Gao, E., Bondell, H., Huang, W., & Gong, M. (2024). A VARIATIONAL FRAMEWORK FOR ESTIMATING CONTINUOUS TREATMENT EFFECTS WITH MEASUREMENT ERROR. In 12th International Conference on Learning Representations, ICLR 2024. Online: International Conference on Learning Representations, ICLR.
    Scopus2
    2024 Liu, W., Huang, B., Gao, E., Ke, Q., Bondell, H., & Gong, M. (2024). Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach. In Proceedings of Machine Learning Research Vol. 236 (pp. 1237-1263). Online: ML Research Press.
    2022 Gao, E., Ng, I., Gong, M., Shen, L., Huang, W., Liu, T., . . . Bondell, H. (2022). MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models. In Advances in Neural Information Processing Systems Vol. 35. Online: Neural information processing systems foundation.
    Scopus13
  • Position: Grant-Funded Researcher
  • Phone: 83134374
  • Email: erdun.gao@adelaide.edu.au
  • Campus: Lot 14
  • Building: Australian Institute for Machine Learning Building, floor Second Floor
  • Room: 2.26
  • Org Unit: Australian Institute for Machine Learning - Projects
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