About the Lab
Welcome to the WildAlg Lab at Yale University, led by Prof. Quanquan C.
Liu.
We design algorithms for the "wild"—real-world environments where data is massive, dynamic, and
sensitive.
We are grateful to Google, the National Science Foundation, Yale Institution for Social and Policy
Studies, the Roberts Innovation Fund, NSF ACCESS, the AMD AI & HPC Program, and Tenstorrent for
their support.
Selected Research Areas
Scalable Graph Algorithms
Processing graphs with trillions of edges using parallel (MPC) and distributed frameworks. Focus areas include k-core decomposition and subgraph counting.
Dynamic Data
Developing batch-dynamic algorithms that efficiently update results as the underlying graph evolves, essential for real-time network analysis.
Differential Privacy
Designing Local Edge Differential Privacy (LEDP) algorithms to enable secure analytics on sensitive relationship data.
+ Beyond these core areas: We also actively research a variety of other topics in algorithms, parallel computing, and graphs.
The Team
