You can also find my articles on my Google Scholar profile.

Preprint

• 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.

Conference

• 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.

Journal

• Guojie Song, Liang Zhang, Ziyao Li, Yi Li. Large Scale Network Embedding: A Separable Approach. IEEE Transactions on Knowledge and Data Engineering, 2020.

Thesis

• Liang Zhang. Variance Reduction for Non-Convex Stochastic Optimization: General Analysis and New Applications, 2021. Supervised by Dr. Yifan Hu and Prof. Niao He.