You can also find my articles on my Google Scholar profile.
Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He. Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization. arXiv preprint arXiv:2206.00363, 2022.
Siqi Zhang*, Yifan Hu*, Liang Zhang, Niao He. Uniform Convergence and Generalization for Nonconvex Stochastic Minimax Problems. arXiv preprint arXiv:2205.14278, 2022.
Ziyao Li, Liang Zhang, Guojie Song. GCN-LASE: Towards adequately incorporating link attributes in graph convolutional networks. Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019.
Ziyao Li, Liang Zhang, Guojie Song. Sepne: Bringing separability to network embedding. Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
- Guojie Song, Liang Zhang, Ziyao Li, Yi Li. Large Scale Network Embedding: A Separable Approach. IEEE Transactions on Knowledge and Data Engineering, 2020.
- Liang Zhang. Variance Reduction for Non-Convex Stochastic Optimization: General Analysis and New Applications, 2021. Supervised by Dr. Yifan Hu and Prof. Niao He.