I obtained my PhD in Engineering from the University of Electronic Science and Technology of China in July 2024. I am currently an assistant researcher at the Institute for Statistics and Interdisciplinary Innovation, Southwest University of Finance and Economics. My primary research focuses on machine learning, with particular attention to areas such as distributed learning, statistical machine learning, and graph representation learning. I also serve as a member of the AAAI Program Committee for international conferences.
Liu Shiyu
/Assistant Research Fellow
E-mail：liushiyu AT swufe.edu.cn
Awards and honors
Lead research projects
Representative papers
- Liu, S., Shi, W., Lv, S., Zhang, Y., Wang, H., & Xu, Z. (2024). Meta-learning via PAC-Bayesian with data-dependent prior: generalization bounds from local entropy. International Joint Conferences on Artificial Intelligence (IJCAI).
- Liu, S., Wei, L., Lv, S., & Li, M. (2023). Stability and generalization of ℓp-regularized stochastic learning for graph convolutional networks. International Joint Conferences on Artificial Intelligence (IJCAI).
- Liu, S., Luo, J., Zhang, Y., Wang, H., Yu, Y., & Xu, Z. (2024). Efficient privacy-preserving Gaussian process via secure multi-party computation. Journal of Systems Architecture, 151, 103134.
- Ai, Q., Liu, S., He, L., & Xu, Z. (2023). Stein variational gradient descent with multiple kernels. Cognitive Computation, 15, 672-682.
- Ai, Q., He, L., Liu, S., & Xu, Z. (2022). ByPE-VAE: Bayesian pseudocoresets exemplar VAE. Neural Information Processing Systems (NeurIPS).