👋 Hi! I’m 👦 Benyu Wu (吴本钰). I am currently pursuing a Ph.D. 🎓 in Software Engineering at the Intelligent Data Engineering and Analytics (IDEA) Lab, Shandong University (SDU), under the supervision of 👨‍🏫 Professor Guoxian Yu.

👨‍🔬 My current research focuses on Bioinformatics, Spatial Proteomics, Deep Graph Clustering, and Graph Machine Learning. I am always open to discussions and exchanging ideas!

🔥 News

• 2024.12.01: 🎉 I won the China National Scholarship for Graduate Students.
• 2024.11.25: 🎉 I won the First-Prize Scholarship, CUMT.
• 2024.06.22: 🎉 One Paper has been accepted by ACM TKDD.
• 2023.10.12: 🎉 I won the First-Prize Scholarship, CUMT.
• 2023.07.21: 🎉 One Paper has been accepted by Pattern Recognition.

📝 Projects and Publications

Open-source Repo

PyDGC
Benyu Wu CODE

• PyDGC is a unified, flexible, and extensible framework for deep graph clustering.
• It provides a variety of graph clustering methods and datasets, making it easy to reproduce, implement, and evaluate algorithms.
• It also includes a comprehensive set of evaluation metrics for graph clustering tasks.

arXiv

Synergistic Deep Graph Clustering Network
Benyu Wu, Shifei Ding*, Xiao Xu, Lili Guo, Ling Ding and Xindong Wu

CODE

• TIGAE uses simple linear transformation to introduce explicit graph Laplacian information to alleviate representation collapse.
• A synergistic framework of representation learning and structure augmentation is proposed to exploit the reciprocal relationship between them to jointly improve the embedding quality.
• Structure fine-tuning strategy improve the generalization ability of the model.

TKDD

Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder
Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao* and Xindong Wu

CODE

• EGAE optimizes the GAE from the perspectives of data dimension and graph convolution efficiency.
• Dynamic graph weight updating strategy adjust the structure during the training process.

Pattern Recognit.

Graph Clustering Network with Structure Embedding Enhanced
Shifei Ding, Benyu Wu, Xiao Xu, Lili Guo and Ling Ding*

CODE

• GC-SEE enhances the structural information in embeddings for clustering by utilizing different types of structural information.

* indicates corresponding author.

🏅 Honors and Awards

• 2024.12 🏆 The China National Scholarship for Graduate Students.
• 2024.11 🥇 The First-Prize Scholarship, CUMT.
• 2023.10 🥇 The First-Prize Scholarship, CUMT.
• 2022.09 🏆 Outstanding Freshman Scholarship, CUMT.
• 2022.06 🏆 Outstanding Graduates Awards, CUMT.
• 2021.12 🥇 The First-Prize Scholarship, CUMT.
• 2020.12 🥈 The Second-Prize Scholarship, CUMT.
• 2019.11 🥈 The Second-Prize Scholarship, CUMT.

📖 Educations

• 2022.08 - 2025.06, Master, School of Computer Science and Technology, China Uniersity of Mining and Technology, Xuzhou.
• 2019.06 - 2022.04, Undergraduate, School of Computer Science and Technology, China Uniersity of Mining and Technology, Xuzhou.
• 2018.08 - 2019.06, Undergraduate, School of Resources and Geosciences, China Uniersity of Mining and Technology, Xuzhou.
• 2015.09 - 2018.06, Xinyi No.1 Middle School, Jiangsu.