People_
Miss Lena Lin
Address
The University of Sydney
NSW 2006 Australia
Thesis work
Thesis title: Graph Neural Networks
Supervisors: Boris Choy, Junbin Gao
Thesis abstract:
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Publications
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Journals
- Shi, D., Han, A., Lin, L., Guo, Y., Wang, Z., Gao, J. (2025). Design your own universe: a physics-informed agnostic method for enhancing graph neural networks. International Journal of Machine Learning and Cybernetics, 16(2), 1129-1144. [More Information]
- Zou, C., Han, A., Lin, L., Li, M., Gao, J. (2024). A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. IEEE Transactions on Artificial Intelligence, 5(4), 1647-1657. [More Information]
- Lin, L., Li, Z., Li, R., Li, X., Gao, J. (2024). Diffusion models for time-series applications: a survey. Frontiers of Informaion Technology & Electronic Engineering, 25(1), 19-41. [More Information]
Conferences
- Zhai, J., Lin, L., Shi, D., Gao, J. (2024). Bregman Graph Neural Network. 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024, Piscataway, New Jersey: IEEE. [More Information]
- Lin, L., Gao, J. (2023). A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]
Expand all
2025
- Shi, D., Han, A., Lin, L., Guo, Y., Wang, Z., Gao, J. (2025). Design your own universe: a physics-informed agnostic method for enhancing graph neural networks. International Journal of Machine Learning and Cybernetics, 16(2), 1129-1144. [More Information]
2024
- Zou, C., Han, A., Lin, L., Li, M., Gao, J. (2024). A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. IEEE Transactions on Artificial Intelligence, 5(4), 1647-1657. [More Information]
- Zhai, J., Lin, L., Shi, D., Gao, J. (2024). Bregman Graph Neural Network. 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024, Piscataway, New Jersey: IEEE. [More Information]
- Lin, L., Li, Z., Li, R., Li, X., Gao, J. (2024). Diffusion models for time-series applications: a survey. Frontiers of Informaion Technology & Electronic Engineering, 25(1), 19-41. [More Information]
2023
- Lin, L., Gao, J. (2023). A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), United States: Institute of Electrical and Electronics Engineers (IEEE). [More Information]