Modeling and Analysis of Tagging Networks in Stack Exchange Communities. - Xiang Fu 005; Shangdi Yu; Austin R. Benson (CoRR, 2019)

Analyzing the Spotify Top 200 Through a Point Process Lens. - Michelangelo Harris; Brian Liu; Cean Park; Ravi Ramireddy; Gloria Ren; Max Ren; Shangdi Yu; Andrew Daw; Jamol Pender (CoRR, 2019)

Parallel Batch-Dynamic k-Clique Counting. - Laxman Dhulipala; Quanquan C. Liu; Julian Shun; Shangdi Yu (APOCS, 2021)

A Parallel Batch-Dynamic Data Structure for the Closest Pair Problem. - Yiqiu Wang; Shangdi Yu; Yan Gu 001; Julian Shun (SoCG, 2021)

Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering. - Yiqiu Wang; Shangdi Yu; Yan Gu 001; Julian Shun (SIGMOD Conference, 2021)

Modelling and analysis of tagging networks in Stack Exchange communities. - Xiang Fu 005; Shangdi Yu; Austin R. Benson (J. Complex Networks, 2021)

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

ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain. - Shangdi Yu; Yiqiu Wang; Yan Gu 001; Laxman Dhulipala; Julian Shun (Proc. VLDB Endow., 2021)

GeoGraph: A Framework for Graph Processing on Geometric Data. - Yiqiu Wang; Shangdi Yu; Laxman Dhulipala; Yan Gu 001; Julian Shun (ACM SIGOPS Oper. Syst. Rev., 2021)

ParGeo: A Library for Parallel Computational Geometry. - Yiqiu Wang; Rahul Yesantharao; Shangdi Yu; Laxman Dhulipala; Yan Gu 001; Julian Shun (ESA, 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)

ParGeo: a library for parallel computational geometry. - Yiqiu Wang; Shangdi Yu; Laxman Dhulipala; Yan Gu 001; Julian Shun (PPoPP, 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)

Faster Parallel Exact Density Peaks Clustering. - Yihao Huang 004; Shangdi Yu; Julian Shun (ACDA, 2023)

Faster Parallel Exact Density Peaks Clustering (Abstract). - Yihao Huang 004; Shangdi Yu; Julian Shun (HOPC@SPAA, 2023)

Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering (Abstract). - Yiqiu Wang; Shangdi Yu; Yan Gu 001; Julian Shun (HOPC@SPAA, 2023)

Parallel Filtered Graphs for Hierarchical Clustering. - Shangdi Yu; Julian Shun (ICDE, 2023)

Transcending Runtime-Memory Tradeoffs in Checkpointing by being Fusion Aware. - Horace He; Shangdi Yu (MLSys, 2023)

Dr. LLaMA: Improving Small Language Models on PubMedQA via Generative Data Augmentation. - Zhen Guo; Peiqi Wang; Yanwei Wang; Shangdi Yu (CoRR, 2023)

AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising. - Zhen Guo; Shangdi Yu (CoRR, 2023)

PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search. - Shangdi Yu; Joshua Engels; Yihao Huang 004; Julian Shun (CoRR, 2023)

Approximate Nearest Neighbor Search with Window Filters. - Joshua Engels; Benjamin Landrum; Shangdi Yu; Laxman Dhulipala; Julian Shun (ICML, 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)

DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering. - Shangdi Yu; Laxman Dhulipala; Jakub Lacki; Nikos Parotsidis (SDM, 2025)