Weixin Bu

Weixin Bu

AI Software Engineer

Hello, this is Weixin Bu (Also, Bryson), an ordinary but curious person.

I persistently explore the things that spark my interest, while striving to learn from those who are both pure-hearted and outstanding. I believe that life is a vast wilderness, and the key is to live it in a way you truly love.

  • I am now working on Intelligent QA System, RAG, Software Development, etc.

  • I graduated from School of Computer and Software, Nanjing University of Information Science and Technology (南京信息工程大学计算机与软件学院) with a bachelor’s degree; and from School of Artificial Intelligence, Jilin University (吉林大学人工智能学院) with a master’s degree.

  • I am passionate about researching on Artificial Intelligence (Graph Neural Networks[Homogeneous/Heterogeneous, Static/Dynamic Graphs], Self/Semi-supervised Learning, Multimodal Learning, Time Series Modeling and Large Foundation Models, etc).

Please feel free to contact me via Email: brysonwx@163.com / bwxhhjy@gmail.com.

🔥 News

📝 Publications

Graph Neural Networks

Pattern Recognition
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Improving Augmentation Consistency for Graph Contrastive Learning
Weixin Bu*, Xiaofeng Cao*, Yizhen Zheng, Shirui Pan
[Paper] | [Code]

  • A novel augmentation consistency perspective in GCL
  • Integrate semantic and structural properties to better capture node consistency
  • An effective consistency improvement loss to maintain augmentation consistency among positive node pairs
ICML 2025 Spotlight
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Nonparametric Teaching for Graph Property Learners
Chen Zhang*, Weixin Bu*, Zeyi Ren, Zhengwu Liu, Yik-Chung Wu, Ngai Wong
[Project] | [Code]

  • A novel paradigm that interprets graph property learning within the theoretical context of nonparametric teaching (NT)
  • Reveal the consistency between the evolution of GCN driven by parameter updates and that under functional gradient descent in NT
  • Demonstrate the effectiveness of GraNT through extensive experiments (graph/node-level regression / classification) in graph property learning

Self / Semi-supervised Learning

Multimodal Learning

Time Series Modeling

One paper in submission.

Large Foundation Models

Others

📖 Educations

  • 2021.09 - 2024.06, Computer Science, Msc, Jilin University, Changchun.
  • 2014.09 - 2018.06, Network Engineering, Bsc, Nanjing University of Information Science and Technology, Nanjing.

💻 Work and Internships

  • 2025.12 - Now, AI Software Engineer at Suzhou AI Lab of RUC, Suzhou.
  • 2024.11 - 2025.11, Search and Recommendation Engineer at Reversible Inc, Remote.
  • 2024.06 - 2024.09, AI Researcher at CAICT, Nanjing.
  • 2022.07 - 2022.10, Algorithm Software Intern at Shanghai AI Lab, Remote.
  • 2021.01 - 2021.06, Software Engineer(Part-time) at BorderX Lab(别样), Shanghai.
  • 2018.07 - 2020.05, Software Engineer(Full-time) at BorderX Lab(别样), Shanghai.