Boyu Yang

About Me

I am a Ph.D student in Statistics at School of Data Science, Fudan University, advised by Prof. Weiguo Zheng. I have got a Bachelor's and a Master's degree from Nankai University and Fudan University, respectively, both in Statistics. My research focuses on graph algorithms and graph neural networks.

Research Interests

• Graph Algorithms
• Graph Representation
• Graph Neural Network

Publications

1. Title: HERO: A Hierarchical Set Partitioning and Join Framework for Speeding up the Set Intersection Over Graphs

   Authors: Boyu Yang, Weiguo Zheng, Xian Lian, Yuzheng Cai, X. Sean. Wang

   Journal: Proc. ACM Manag. Data. (2024)

2. Title: A Powerful Local Search Method for Minimum Steiner Tree Problem

   Authors: Boyu Yang, Weiguo Zheng

   Conference: APWeb - WAIM. (2024)

3. Title: Tackling Non - Stationarity in Reinforcement Learning via Causal - Origin Representation

   Authors: Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu

   Conference: ICML. (2024)

4. Title: Towards Building a Lightweight and Powerful Computation Graph for Scalable GNN

   Authors: Chang Gong, Boyu Yang, Weiguo Zheng, Xing Huang, Weiyi Huang, Jie Wen, Shijie Sun, Bohua Yang

   Conference: WISE. (2024)

5. Title: Near - optimal Steiner tree computation powered by node embeddings

   Authors: Boyu Yang, Weiguo Zheng

   Journal: Knowl. Inf. Syst. (2023)

6. Title: Subgraph Reconstruction via Reversible Subgraph Embedding

   Authors: Boyu Yang, Weiguo Zheng

   Conference: DASFAA. (2023)