PhD Candidate College of Computer Science and Technology Zhejiang University, Hangzhou, Zhejiang, China Advisors: Hui Qian, Nenggan Zheng, Makoto Yamada

Education

• Ph.D. Student, College of Computer Science and Technology, Zhejiang University, 2018-.

• Visiting Student, Department of Intelligence Science and Technology, Kyoto University, 2022-.

• B.Eng., College of Information Science & Electronic Engineering, Zhejiang University, 2014-2018.

Research Interests

• Optimal Transport

• Graph Mining

• Optimization

Selected Publications

Conference Proceedings

• Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, and Hui Qian. Robust Graph Dictionary Learning. International Conference on Learning Representations (ICLR), 2023.

• Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian. Towards Optimal Randomized Strategies in Adversarial Example Game. Association for the Advancement of Artificial Intelligence conference (AAAI), 2023.

• Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian. CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. Association for the Advancement of Artificial Intelligence conference (AAAI), 2023.

• Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng. From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. Association for the Advancement of Artificial Intelligence conference (AAAI), 2022.

• Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, and Nenggan Zheng. Accelerating stratified sampling SGD by reconstructing strata. International Conference on International Joint Conferences on Artificial Intelligence (IJCAI), 2020.

Preprints

• Weijie Liu, Chao Zhang, Nenggan Zheng, and Hui Qian. SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. arXiv preprint arXiv:2202.02797 (2022).

• Weijie Liu, Chao Zhang, Nenggan Zheng, and Hui Qian. Approximating optimal transport via low-rank and sparse factorization. arXiv preprint arXiv:2111.06546 (2021).

• Weijie Liu, Aryan Mokhtari, Asuman Ozdaglar, Sarath Pattathil, Zebang Shen, and Nenggan Zheng. A decentralized proximal point-type method for saddle point problems. arXiv preprint arXiv:1910.14380 (2019) (Authors in alphabetical order).

Selected Projects

Optimal transport-based scene graph retrieval, supported by Alibaba-Zhejiang University Joint Institute of Frontier Technologies, 2021-2022.

Professional Services

• Conference Reviewer: AAAI, IJCAI, ICML, NeurIPS

• Journal Reviewer: Signal Processing