1 citations · 1 across the 4 of their papers we have counts for
8 papers
Population-Robust Feature Selection via Generalized Welfare Optimization
Ruiqi Lyu, Alistair Turcan, Bryan Wilder
Choosing which features to collect is a deployment decision: the same limited questionnaire, test panel, or sensor set may need to serve several heterogeneous populations. Standard…
Explaining Concept Shift with Interpretable Feature Attribution
Ruiqi Lyu, Alistair Turcan, Bryan Wilder
Concept shift occurs when the distribution of labels conditioned on the features changes between domains, which can make even a well-tuned ML model miscalibrated on a new domain. I…
TusoAI: Agentic Optimization for Scientific Methods
Alistair Turcan, Kexin Huang, Lei Li +1
Scientific discovery is often slowed by the manual development of computational tools needed to analyze complex experimental data. Building such tools is costly and time-consuming…
SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting
Ruiqi Lyu, Alistair Turcan, Bryan Wilder
Accurate epidemic forecasting is crucial for public health response, resource allocation, and outbreak intervention, but remains difficult with sparse, noisy, and highly non-statio…
SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources
Shuaike Shen, Wenduo Cheng, Mingqian Ma +3
Modern scientific ecosystems are rich in procedural knowledge across repositories, APIs, scripts, notebooks, documentation, databases, and papers, yet much of this knowledge remain…
Combining digital data streams and epidemic networks for real time outbreak detection
Ruiqi Lyu, Alistair Turcan, Bryan Wilder
Responding to disease outbreaks requires close surveillance of their trajectories, but outbreak detection is hindered by the high noise in epidemic time series. Aggregating informa…