Education

• B.S. in Physics, Peking University, 2019
• M.S. in Computer Science, ETH Zürich, 2021
• Ph.D. in Computer Science, Max Planck ETH Center for Learning Systems, present

Publications

• 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. IJCAI, 2019.
• Ziyao Li, Liang Zhang, Guojie Song. Sepne: Bringing separability to network embedding. AAAI, 2019.