Jessica Shi

30 papers A* 4B 2Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
FreeForm: Flexibly Augmenting Formulas with Synchronized Markup and Graphical Edits.
CHI
Jeffrey Tao, Litao Yan, Jessica Shi, Mia Ginsberg, Andrew Head
2024 J jnl
Parallel Algorithms for Hierarchical Nucleus Decomposition.
Proc. ACM Manag. Data
Jessica Shi, Laxman Dhulipala, Julian Shun
2024 J jnl
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering.
CoRR
Shangdi Yu, Jessica Shi, Jamison Meindl, David Eisenstat, Xiaoen Ju, Sasan Tavakkol, Laxman Dhulipala, Jakub Lacki, Vahab Mirrokni, Julian Shun
2024 J jnl
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering.
Proc. VLDB Endow.
Shangdi Yu, Jessica Shi, Jamison Meindl, David Eisenstat, Xiaoen Ju, Sasan Tavakkol, Laxman Dhulipala, Jakub Lacki, Vahab Mirrokni, Julian Shun
2023 — —
Bridging Theory and Practice in Parallel Clustering
Jessica Shi
2023 — conf
Efficient Algorithms for Parallel Bi-core Decomposition.
APOCS
Yihao Huang, Claire Wang, Jessica Shi, Julian Shun
2023 J jnl
Parallel Algorithms for Hierarchical Nucleus Decomposition.
CoRR
Jessica Shi, Laxman Dhulipala, Julian Shun
2023 — conf
Theoretically and Practically Efficient Parallel Nucleus Decomposition (Abstract).
HOPC@SPAA
Jessica Shi, Laxman Dhulipala, Julian Shun
2022 A* conf
Differential Privacy from Locally Adjustable Graph Algorithms: k-Core Decomposition, Low Out-Degree Ordering, and Densest Subgraphs.
FOCS
Laxman Dhulipala, Quanquan C. Liu, Sofya Raskhodnikova, Jessica Shi, Julian Shun, Shangdi Yu
2022 J jnl
Differential Privacy from Locally Adjustable Graph Algorithms: k-Core Decomposition, Low Out-Degree Ordering, and Densest Subgraphs.
CoRR
Laxman Dhulipala, Quanquan C. Liu, Sofya Raskhodnikova, Jessica Shi, Julian Shun, Shangdi Yu
2022 A* conf
Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth.
NeurIPS
Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab Mirrokni, Jessica Shi
2022 J jnl
Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth.
CoRR
Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab Mirrokni, Jessica Shi
2022 — ch.
Parallel Algorithms for Butterfly Computations.
Massive Graph Analytics
Jessica Shi, Julian Shun
2022 B conf
Parallel Batch-Dynamic Algorithms for k-Core Decomposition and Related Graph Problems.
SPAA
Quanquan C. Liu, Jessica Shi, Shangdi Yu, Laxman Dhulipala, Julian Shun
2022 J jnl
Parallel Five-cycle Counting Algorithms.
ACM J. Exp. Algorithmics
Jessica Shi, Louisa Ruixue Huang, Julian Shun
2021 J jnl
An Attempt to Generate Code for Symmetric Tensor Computations.
CoRR
Jessica Shi, Stephen Chou, Fredrik Kjolstad, Saman P. Amarasinghe
2021 A* conf
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time.
ICML
Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni, Jessica Shi
2021 J jnl
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time.
CoRR
Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni, Jessica Shi
2021 J jnl
Parallel Batch-Dynamic k-Core Decomposition.
CoRR
Quanquan C. Liu, Jessica Shi, Shangdi Yu, Laxman Dhulipala, Julian Shun
2021 — conf
Parallel Clique Counting and Peeling Algorithms.
ACDA
Jessica Shi, Laxman Dhulipala, Julian Shun
2021 B conf
Parallel Five-Cycle Counting Algorithms.
SEA
Louisa Ruixue Huang, Jessica Shi, Julian Shun
2021 J jnl
Scalable Community Detection via Parallel Correlation Clustering.
CoRR
Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni
2021 J jnl
Scalable Community Detection via Parallel Correlation Clustering.
Proc. VLDB Endow.
Jessica Shi, Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab S. Mirrokni
2021 J jnl
Theoretically and Practically Efficient Parallel Nucleus Decomposition.
CoRR
Jessica Shi, Laxman Dhulipala, Julian Shun
2021 J jnl
Theoretically and Practically Efficient Parallel Nucleus Decomposition.
Proc. VLDB Endow.
Jessica Shi, Laxman Dhulipala, Julian Shun
2020 — conf
Parallel Algorithms for Butterfly Computations.
APOCS
Jessica Shi, Julian Shun
2020 J jnl
Parallel Clique Counting and Peeling Algorithms.
CoRR
Jessica Shi, Laxman Dhulipala, Julian Shun
2020 — conf
The Graph Based Benchmark Suite (GBBS).
GRADES-NDA@SIGMOD
Laxman Dhulipala, Jessica Shi, Tom Tseng, Guy E. Blelloch, Julian Shun
2019 J jnl
Parallel Algorithms for Butterfly Computations.
CoRR
Jessica Shi, Julian Shun
2018 — conf
Exponential Bounds on Graph Enumerations from Vertex Incremental Characterizations.
ANALCO
Jérémie O. Lumbroso, Jessica Shi