Yuyang Xie
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Department of Computer Science and Technology, |
About me
I obtained my Ph.D. degree in January 2024 under the supervision of Prof.Wenjian Yu in the Department of Computer Science and Technology, Tsinghua University. Previously, I received my B.S. in the School of Computer Science and Engineering from Northeast University in 2018.
During my Ph.D., I collaborated with the Knowledge Engineering Group of Tsinghua University to study the problem of large-scale graph representation learning. The main collaborators are Jiezhong Qiu, Yuxiao Dong, and Jie Tang.
Now I work for Zhipu AI.
Research
My research interests include
Graph Representation Learning
Matrix Analysis
Recent Publications
Yuyang Xie, Yuxiao Dong, Jiezhong Qiu, Wenjian Yu, Xu Feng, Jie Tang, “SketchNE:Embedding Billion-Scale Networks Accurately in One Hour” , IEEE Transactions on Knowledge and Data Engineering (CCF-A accepted)
Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang, “Towards Lightweight and Automated Representation Learning System for Networks” , IEEE Transactions on Knowledge and Data Engineering (CCF-A accepted)
Yuyang Xie, Xu Feng, Xizhi Zhang, Jiezhong Qiu and Wenjian Yu, “Approximating element-wise functions of matrix with improved streaming randomized SVD,” in Proc. the 34th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Oct. 2022.
Xu Feng, Wenjian Yu, and Yuyang Xie, “Pass-efficient randomized SVD with boosted accuracy,” in Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Grenoble, France, Sep. 2022.
Xiangyun Ding, Wenjian Yu, Yuyang Xie, and Shenghua Liu, “Efficient model-based collaborative filtering with fast adaptive PCA,” in Proc. the 32th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov. 2020, pp. 955-960. arXiv
Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, and Jie Tang, “Fast randomized PCA for sparse data,” in Proc. the 10th Asian Conference on Machine Learning (ACML), Beijing, China, Nov. 2018, pp. 710-725. arXiv
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng. MonLAD: Money Laundering Agents Detection in Transaction Streams, In WSDM’22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM), pp.976–986, Feb 2022.