Query K-means Clustering and the Double Dixie Cup Problem. - I (Eli) Chien; Chao Pan 003; Olgica Milenkovic (NeurIPS, 2018)

Image Processing in DNA. - Chao Pan 003; S. M. Hossein Tabatabaei Yazdi; S. Kasra Tabatabaei; Alvaro G. Hernandez; Charles Schroeder; Olgica Milenkovic (ICASSP, 2020)

Highly Scalable and Provably Accurate Classification in Poincaré Balls. - Eli Chien; Chao Pan 003; Puoya Tabaghi; Olgica Milenkovic (ICDM, 2021)

Spatio-Temporal Graph Scattering Transform. - Chao Pan 003; Siheng Chen; Antonio Ortega (ICLR, 2021)

Linear Classifiers in Mixed Constant Curvature Spaces. - Puoya Tabaghi; Eli Chien; Chao Pan 003; Olgica Milenkovic (CoRR, 2021)

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks. - Eli Chien; Chao Pan 003; Jianhao Peng; Olgica Milenkovic (ICLR, 2022)

Balanced and Swap-Robust Trades for Dynamical Distributed Storage. - Chao Pan 003; Ryan Gabrys; Xujun Liu; Charles J. Colbourn; Olgica Milenkovic (ISIT, 2022)

Certified Graph Unlearning. - Eli Chien; Chao Pan 003; Olgica Milenkovic (CoRR, 2022)

Unlearning Nonlinear Graph Classifiers in the Limited Training Data Regime. - Chao Pan 003; Eli Chien; Olgica Milenkovic (CoRR, 2022)

Machine Unlearning of Federated Clusters. - Chao Pan 003; Jin Sima; Saurav Prakash; Vishal Rana; Olgica Milenkovic (ICLR, 2023)

Efficient Model Updates for Approximate Unlearning of Graph-Structured Data. - Eli Chien; Chao Pan 003; Olgica Milenkovic (ICLR, 2023)

Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. - Eli Chien; Wei-Ning Chen; Chao Pan 003; Pan Li 005; Ayfer Özgür; Olgica Milenkovic (NeurIPS, 2023)

Unlearning Graph Classifiers with Limited Data Resources. - Chao Pan 003; Eli Chien; Olgica Milenkovic (WWW, 2023)

Semi-Quantitative Group Testing for Efficient and Accurate qPCR Screening of Pathogens with a Wide Range of Loads. - Anantham Nambiar; Chao Pan 003; Vishal Rana; Mahdi Cheraghchi; João Ribeiro 002; Sergei Maslov; Olgica Milenkovic (CoRR, 2023)

Provably accurate and scalable linear classifiers in hyperbolic spaces. - Chao Pan 003; Eli Chien; Puoya Tabaghi; Jianhao Peng; Olgica Milenkovic (Knowl. Inf. Syst., 2023)

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning. - Evelyn Ma; Chao Pan 003; S. Rasoul Etesami 001; Han Zhao 002; Olgica Milenkovic (NeurIPS, 2024)

Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks. - Peizhi Niu; Chao Pan 003; Siheng Chen; Olgica Milenkovic (CoRR, 2024)

Perturbation-Resilient Trades for Dynamic Service Balancing. - Jin Sima; Chao Pan 003; Olgica Milenkovic (CoRR, 2024)

Interpretable online network dictionary learning for inferring long-range chromatin interactions. - Vishal Rana; Jianhao Peng; Chao Pan 003; Hanbaek Lyu; Albert Cheng; Minji Kim; Olgica Milenkovic (PLoS Comput. Biol., 2024)

Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls. - Saurav Prakash; Jin Sima; Chao Pan 003; Eli Chien; Olgica Milenkovic (Trans. Mach. Learn. Res., 2024)

DNA-Based Data Storage Systems: A Review of Implementations and Code Constructions. - Olgica Milenkovic; Chao Pan 003 (IEEE Trans. Commun., 2024)

Semi-quantitative group testing for efficient and accurate qPCR screening of pathogens with a wide range of loads. - Ananthan Nambiar; Chao Pan 003; Vishal Rana; Mahdi Cheraghchi; João Ribeiro 002; Sergei Maslov; Olgica Milenkovic (BMC Bioinform., 2024)

DNA Tails for Molecular Flash Memory. - Jin Sima; Chao Pan 003; S. Kasra Tabatabaei; Alvaro G. Hernandez; Charles Schroeder; Olgica Milenkovic (CoRR, 2025)

Perturbation-resilient sets for dynamic service balancing. - Jin Sima; Chao Pan 003; Olgica Milenkovic (Des. Codes Cryptogr., 2025)