About Me
I am Yiran Li, a postdoctoral fellow at ECE, University of Toronto, working with Prof. Hans-Arno Jacobsen. My research centers on designing efficient and scalable algorithms for clustering and embedding complex networks. I am also deeply interested in graph learning and the intersection of computing with scientific discovery.
I got my PhD from The Hong Kong Polytechnic University in 2025, under the supervision of Prof. Jieming Shi. Before my PhD, I completed my Bachelor's degree in software engineering at Nanjing University in 2019.
Updates
- 2026-07-02 Two papers are accepted to VLDB 2026. Congrats to Gongyao Guo and Qiao He!
- 2026-05-11 Our short paper "Quantum Hypergraph Partitioning" is accepted to Q-Data workshop, collocated with SIGMOD 2026. Read the paper here.
- 2026-05-02 I am giving a talk titled "Quantum Optimization for Sustainable Data Management" at the DSDS workshop, collocated with ICDE in Montreal.
- 2025-11-10 I am joining the MSRG group at the University of Toronto as a postdoctoral fellow, working with Prof. Hans-Arno Jacobsen.
- 2025-08-15 I successfully defended my PhD thesis! The title of my thesis is "Advancing Clustering and Embedding for Attributed Network Structures".
- 2025-06-22 Our paper "Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges" is accepted to VLDB 2025.
Publications
- Gongyao Guo, Chen Feng, Yiran Li, Jieming Shi. "Efficient GPU-Accelerated Adaptive Minimum Cost Seed Selection." To appear at VLDB 2026.
- Qiao He, Yiran Li, Man Lung YIU, Jieming Shi. "Efficient GPU-Accelerated Local Subgraph Counting." To appear at VLDB 2026.
- Yifang Tian, Yaming Liu, Zichun Chong, Zihang Huang, Yiran Li, Hans-Arno Jacobsen. "GALA: Graph-Augmented LLM Agents for Root Cause Analysis and Incident Response in Microservices." To appear at ASE 2026.
- Chen Feng, Gongyao Guo, Yiran Li, Jieming Shi, Sibo Wang. "Efficient Approximation Algorithms for Adaptive Minimum Cost Seed Selection via mRR-set Updates." To appear at KDD 2026.
- Yiran Li, Y. Batuhan Yilmaz, Michael Silver, Zachary Vernec, Hans-Arno Jacobsen. "Quantum Hypergraph Partitioning." Q-Data 2026 (SIGMOD workshop). [arXiv] [Code]
- Yiran Li, Gongyao Guo, Chen Feng, Jieming Shi. "Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges." VLDB 2025. [arXiv] [Code]
- Yiran Li, Gongyao Guo, Jieming Shi, Sibo Wang, Qing Li. "Efficient Integration of Multi-View Attributed Graphs for Clustering and Embedding." ICDE 2025. [arXiv] [Code]
- Zhihao Ding*, Ting Zhang*, Yiran Li, Jieming Shi, Chen Jason Zhang. "RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction." AAAI 2025. [arXiv] [Code]
- Yiran Li, Gongyao Guo, Jieming Shi, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo. "A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation." The VLDB Journal 2024. [arXiv] [Technical report] [Code]
- Yiran Li, Renchi Yang, Jieming Shi. "Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation." SIGMOD 2023. [Presentation video] [Code]
Projects
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