CV
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)
Experience
Amazon AI Lab, Shanghai
- Remote intern, focusing on Tabular data and Graph Neural Networks (GNN)
- Supervisor: Prof. Muhan Zhang, Applied Scientist Minjie Wang
- Dates: November 2023 - Present
GraphPKU Group @ Peking University (PKU)
- Conducting research on graph neural networks
- Supervisor: Prof. Muhan Zhang
- Dates: September 2022 - Present
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
Publications
Efficient Neural Common Neighbor for Temporal Graph Link Prediction
- 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
- 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
- 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.
- Publishing: Accepted at ICML 2024.
- Link: Arxiv
- 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.
- Publishing: Accepted at NeurIPS 2022, Datasets and Benchmarks Track.
- Link: Twibot-22
