🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Shizhou Xu

University of California, Davis

ORCID: 0000-0001-9461-2638

EngineeringSocial Sciences

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Fair Data Representation for Machine Learning at the Pareto Frontier”.

Fair Data Representation for Machine Learning at the Pareto Frontier

PubMed(2022)10.48550/arxiv.2201.00292

N/A

0DataRank · unranked

3 citations

Thomas Strohmer, Shizhou Xu

On the (In)Compatibility between Group Fairness and Individual Fairness

arXiv (Cornell University)(2024)10.48550/arxiv.2401.07174

N/A

0DataRank · unranked

1 citations

Thomas Strohmer, Shizhou Xu

WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity

arXiv (Cornell University)(2024)10.48550/arxiv.2409.18504

N/A

0DataRank · unranked

0 citations

Thomas Strohmer, Shizhou Xu

Machine Unlearning via Information Theoretic Regularization

arXiv (Cornell University)(2025)10.48550/arxiv.2502.05684

N/A

0DataRank · unranked

0 citations

Thomas Strohmer, Shizhou Xu