Exponential Bounds on Graph Enumerations from Vertex Incremental Characterizations. - Jérémie O. Lumbroso; Jessica Shi 001 (ANALCO, 2018)

Parallel Algorithms for Butterfly Computations. - Jessica Shi 001; Julian Shun (APOCS, 2020)

The Graph Based Benchmark Suite (GBBS). - Laxman Dhulipala; Jessica Shi 001; Tom Tseng; Guy E. Blelloch; Julian Shun (GRADES-NDA@SIGMOD, 2020)

Parallel Clique Counting and Peeling Algorithms. - Jessica Shi 001; Laxman Dhulipala; Julian Shun (ACDA, 2021)

Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time. - Laxman Dhulipala; David Eisenstat; Jakub Lacki; Vahab S. Mirrokni; Jessica Shi 001 (ICML, 2021)

Parallel Batch-Dynamic k-Core Decomposition. - Quanquan C. Liu; Jessica Shi 001; Shangdi Yu; Laxman Dhulipala; Julian Shun (CoRR, 2021)

An Attempt to Generate Code for Symmetric Tensor Computations. - Jessica Shi 001; Stephen Chou; Fredrik Kjolstad; Saman P. Amarasinghe (CoRR, 2021)

Scalable Community Detection via Parallel Correlation Clustering. - Jessica Shi 001; Laxman Dhulipala; David Eisenstat; Jakub Lacki; Vahab S. Mirrokni (Proc. VLDB Endow., 2021)

Theoretically and Practically Efficient Parallel Nucleus Decomposition. - Jessica Shi 001; Laxman Dhulipala; Julian Shun (Proc. VLDB Endow., 2021)

Parallel Algorithms for Butterfly Computations. - Jessica Shi 001; Julian Shun (Massive Graph Analytics, 2022)

Differential Privacy from Locally Adjustable Graph Algorithms: k-Core Decomposition, Low Out-Degree Ordering, and Densest Subgraphs. - Laxman Dhulipala; Quanquan C. Liu; Sofya Raskhodnikova; Jessica Shi 001; Julian Shun; Shangdi Yu (FOCS, 2022)

Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth. - Laxman Dhulipala; David Eisenstat; Jakub Lacki; Vahab Mirrokni; Jessica Shi 001 (NeurIPS, 2022)

Parallel Batch-Dynamic Algorithms for k-Core Decomposition and Related Graph Problems. - Quanquan C. Liu; Jessica Shi 001; Shangdi Yu; Laxman Dhulipala; Julian Shun (SPAA, 2022)

Parallel Five-cycle Counting Algorithms. - Jessica Shi 001; Louisa Ruixue Huang; Julian Shun (ACM J. Exp. Algorithmics, 2022)

Efficient Algorithms for Parallel Bi-core Decomposition. - Yihao Huang 004; Claire Wang; Jessica Shi 001; Julian Shun (APOCS, 2023)

Theoretically and Practically Efficient Parallel Nucleus Decomposition (Abstract). - Jessica Shi 001; Laxman Dhulipala; Julian Shun (HOPC@SPAA, 2023)

Bridging Theory and Practice in Parallel Clustering - Jessica Shi 001 (2023)

Parallel Algorithms for Hierarchical Nucleus Decomposition. - Jessica Shi 001; Laxman Dhulipala; Julian Shun (Proc. ACM Manag. Data, 2024)

The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering. - Shangdi Yu; Jessica Shi 001; Jamison Meindl; David Eisenstat; Xiaoen Ju; Sasan Tavakkol; Laxman Dhulipala; Jakub Lacki; Vahab Mirrokni; Julian Shun (Proc. VLDB Endow., 2024)

FreeForm: Flexibly Augmenting Formulas with Synchronized Markup and Graphical Edits. - Jeffrey Tao; Litao Yan; Jessica Shi 001; Mia Ginsberg; Andrew Head (CHI, 2025)