| 2025 | SDM | DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering. | Shangdi Yu, Laxman Dhulipala, Jakub Lacki, Nikos Parotsidis |
| 2024 | ICML | Approximate Nearest Neighbor Search with Window Filters. | Joshua Engels, Benjamin Landrum, Shangdi Yu, Laxman Dhulipala, Julian Shun |
| 2023 | ICDE | Parallel Filtered Graphs for Hierarchical Clustering. | Shangdi Yu, Julian Shun |
| 2022 | ESA | ParGeo: A Library for Parallel Computational Geometry. | Yiqiu Wang, Rahul Yesantharao, Shangdi Yu, Laxman Dhulipala, Yan Gu, Julian Shun |
| 2022 | FOCS | 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, Julian Shun, Shangdi Yu |
| 2022 | PPoPP | ParGeo: a library for parallel computational geometry. | Yiqiu Wang, Shangdi Yu, Laxman Dhulipala, Yan Gu, Julian Shun |
| 2022 | SPAA | Parallel Batch-Dynamic Algorithms for k-Core Decomposition and Related Graph Problems. | Quanquan C. Liu, Jessica Shi, Shangdi Yu, Laxman Dhulipala, Julian Shun |
| 2021 | SIGMOD | Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering. | Yiqiu Wang, Shangdi Yu, Yan Gu, Julian Shun |