About Me
I am currently a researcher at Huawei Noah’s Ark Lab (Hong Kong). I obtained my Ph.D. degree from Computer Science and Engineering department of the Hong Kong University of Science and Technology (HKUST), supervised by Professor Lei Chen. Prior to this, I received my Bachelor degree in Computer Science and Engineering from Beihang University (BUAA).
Research Interests
- Data Management for ML
- Scalable Graph Neural Networks
- Sampling and Data Selection
Publications
SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement.
Shihong Gao, Yiming Li, Xin Zhang, Yanyan Shen, Yingxia Shao, Lei Chen. SIGMOD 2024.ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs.
Shihong Gao, Yiming Li, Yanyan Shen, Yingxia Shao, Lei Chen. VLDB 2024.Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank.
Yiming Li, Yanyan Shen, Lei Chen, Mingxuan Yuan. VLDB 2023.Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees.
Yiming Li, Yanyan Shen, Lei Chen, Mingxuan Yuan. SIGMOD 2023.Camel: Managing Data for Efficient Stream Learning.
Yiming Li, Yanyan Shen, Lei Chen. SIGMOD 2022.Palette: Towards Multi-source Model Selection and Ensemble for Reuse.
Yiming Li, Yanyan Shen, Lei Chen. ICDE 2021.Two-sided Online Bipartite Matching in Spatial Data: Experiments and Analysis.
Yiming Li, Jingzhi Fang, Yuxiang Zeng, Balz Maag, Yongxin Tong, Lingyu Zhang. GeoInformatica 2020.Multi-skill Aware Task Assignment in real-time spatial crowdsourcing.
Tianshu Song, Ke Xu, Jiangneng Li, Yiming Li, Yongxin Tong. GeoInformatica 2020.Procrastination-aware Scheduling: A Bipartite Graph Perspective.
Libin Wang, Yongxin Tong, Chunming Hu, Lei Chen, Yiming Li. ICDE 2019.
Teaching Experience
- MSBD5002: Data Mining and Knowledge Discovery, Fall 2021, HKUST.
- COMP 1022P: Introduction to Computing with Java, Fall 2020, HKUST.
- COMP 2611: Computer Organization, Spring 2020, HKUST.