Yanbo Wang

Yanbo Wang

Ph.D. Student at Peking University

About Yanbo Wang

Hello, I’m Yanbo Wang, a dedicated Ph.D. student in Computer Science and Technology at Peking University, fortunate to be guided by Prof. Muhan Zhang.

My academic journey began when I joined Xi’an Jiaotong University through the Honors Youth Program, where I earned my Bachelor’s degree in Computer Science. During my undergraduate years, I had the privilege of being part of the Collegiate Programming Contest school team and LUD at Xi’an Jiaotong University, which greatly enriched my experience.

My research passion centers around relational databases, especially the foundation models for relational databases, and I’m always enthusiastic about engaging in discussions and idea exchange with fellow enthusiasts in this field. If you share this interest or would like to connect for any reason, please don’t hesitate to reach out. Let’s collaborate and explore the world of computer science together!

Education

  • Honors Youth Program, Xi’an Jiaotong University: 2017 - 2019
  • B.S. in Computer Science, Xi’an Jiaotong University: 2019 - 2023
  • Ph.D. in Intelligence Science and Technology (Computer Science), Peking University: 2023 - 2028 (expected)

Publications

Relational In-Context Learning via Synthetic Pre-training with Structural Prior [ICML 2026]

  • Authors: Yanbo Wang, Jiaxuan You, Chuan Shi, Muhan Zhang
  • Description: This paper proposes a first-time synthetic-only pre-training method for relational database in-context learning foundation models, which leverages a universal relational generator with structural priors to generate synthetic RDBs.
  • Link: Arxiv
  • Authors: Weishuo Ma, Yanbo Wang, Xiyuan Wang, Muhan Zhang
  • Description: This paper reevaluates the performance of Graph Autoencoders for link prediction, showing that with proper hyperparameter tuning, orthogonal embeddings, and linear propagation, a simple GAE can match SOTA GNNs in accuracy while being more efficient.
  • Link: Arxiv
  • Authors: Xiaohui Zhang*, Yanbo Wang*, Xiyuan Wang, Muhan Zhang
  • Description: This paper presents an efficient method for temporal graph link prediction, achieving state-of-the-art results on a large-scale temporal dataset (TGB).
  • Link: Arxiv

Griffin: Towards a Graph-Centric Relational Database Foundation Model [ICML 2025]

  • Authors: Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang
  • Description: This paper introduces Griffin, a novel graph-based foundation model that successfully tackles complex relational databases, showing strong predictive performance and transfer learning through its unified data handling, specialized graph neural network, and effective multi-stage pretraining.
  • Link: Arxiv

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs [NeurIPS 2024]

  • Authors: Minjie Wang*, Quan Gan*, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
  • Description: This toolbox transforms any relational database tasks into graph-based tasks for predictive modeling.
  • Link: Arxiv

An Empirical Study of Realized GNN Expressiveness [ICML 2024]

  • Authors: Yanbo Wang, Muhan Zhang
  • Description: This study investigates the capabilities of realized graph neural networks (GNNs), providing insights beyond the general GNN function space.
  • Link: Arxiv

TwiBot-22: Towards Graph-Based Twitter Bot Detection [NeurIPS 2022]

  • Authors: Shangbin Feng*, Zhaoxuan Tan*, Herun Wan*, Ningnan Wang*, Zilong Chen*, Binchi Zhang*, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
  • Description: A comprehensive benchmark for detecting Twitter bots using graph-based approaches.
  • Link: Twibot-22

Experience

MuLab @ Peking University (PKU)

  • Conducting research on Graph-Centric Relational Databases
  • Supervisor: Prof. Muhan Zhang
  • Dates: September 2022 - Present

Amazon AI Lab, Shanghai

  • Remote intern, focusing on Relational Databases
  • Supervisor: Prof. Muhan Zhang, Applied Scientist Minjie Wang
  • Dates: November 2023 - June 2025

Luo Lab Undergraduate Division (LUD) @ Xi’an Jiaotong University (XJTU)

  • Participated in Twibot-22 project as a team member
  • Supervisor: Prof. Minnan Luo
  • Dates: February 2022 - December 2022

Summer Workshop, School of Computing @ National University of Singapore (NUS)

  • Attended lectures on Visual Computing and developed a traffic sign recognition pipeline
  • Supervisor: Prof. Terence Sim
  • Dates: May 2021 - August 2021