| Parallel Batch-Dynamic k-Clique Counting L Dhulipala, QC Liu, J Shun, S Yu Symposium on Algorithmic Principles of Computer Systems (APOCS), 129-143, 2021 | 34 | 2021 |
| Fast parallel algorithms for euclidean minimum spanning tree and hierarchical spatial clustering Y Wang, S Yu, Y Gu, J Shun Proceedings of the 2021 International Conference on Management of Data, 1982 …, 2021 | 33 | 2021 |
| Differential Privacy from Locally Adjustable Graph Algorithms: -Core Decomposition, Low Out-Degree Ordering, and Densest Subgraphs L Dhulipala, QC Liu, S Raskhodnikova, J Shi, J Shun, S Yu 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022 | 29 | 2022 |
| Parallel Batch-Dynamic Algorithms for k-Core Decomposition and Related Graph Problems QC Liu, J Shi, S Yu, L Dhulipala, J Shun Proceedings of the ACM Symposium on Parallelism in Algorithms and …, 2022 | 28* | 2022 |
| ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain S Yu, Y Wang, Y Gu, L Dhulipala, J Shun Proc. VLDB Endow. 15 (2), 285, 2021 | 15 | 2021 |
| GeoGraph: A Framework for Graph Processing on Geometric Data Y Wang, S Yu, L Dhulipala, Y Gu, J Shun ACM SIGOPS Operating Systems Review 55 (1), 38-46, 2021 | 14 | 2021 |
| Modelling and analysis of tagging networks in Stack Exchange communities X Fu, S Yu, AR Benson Journal of Complex Networks 8 (5), cnz045, 2020 | 13 | 2020 |
| POSTER: ParGeo: a library for parallel computational geometry Y Wang, S Yu, L Dhulipala, Y Gu, J Shun Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of …, 2022 | 12 | 2022 |
| ParGeo: A Library for Parallel Computational Geometry Y Wang, R Yesantharao, S Yu, L Dhulipala, Y Gu, J Shun 30th Annual European Symposium on Algorithms (ESA 2022) 244, 88:1--88:19, 2022 | 12 | 2022 |
| AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising Z Guo, S Yu NeurIPS’23 Workshop on Generative AI for Education (GAIED), 2023 | 11 | 2023 |
| Improving Small Language Models in Domain-Specific QA via Generative Data Augmentation Z Guo, P Wang, Y Wang, S Yu LLM4AI’23: Workshop on Foundations and Applications in Large-scale AI Models …, 2023 | 11* | 2023 |
| A Parallel Batch-Dynamic Data Structure for the Closest Pair Problem Y Wang, S Yu, Y Gu, J Shun 10.4230/LIPIcs.SoCG.2021.60, 2021 | 11 | 2021 |
| Improving small language models on PubMedQA via Generative Data Augmentation Z Guo, P Wang, Y Wang, S Yu arXiv preprint arXiv:2305.07804, 2023 | 8 | 2023 |
| PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search S Yu, J Engels, Y Huang, J Shun arXiv preprint arXiv:2312.03940, 2023 | 5 | 2023 |
| Faster Parallel Exact Density Peaks Clustering Y Huang, S Yu, J Shun SIAM Conference on Applied and Computational Discrete Algorithms (ACDA23), 49-62, 2023 | 4 | 2023 |
| Analyzing the Spotify Top 200 Through a Point Process Lens M Harris, B Liu, C Park, R Ramireddy, G Ren, M Ren, S Yu, A Daw, ... arXiv preprint arXiv:1910.01445, 2019 | 4 | 2019 |
| Parallel Filtered Graphs for Hierarchical Clustering S Yu, J Shun 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1967-1980, 2023 | 3 | 2023 |
| Transcending Runtime-Memory Tradeoffs in Checkpointing by being Fusion Aware S Yu, H He Proceedings of Machine Learning and Systems 5, 2023 | 2 | 2023 |
| Approximate Nearest Neighbor Search with Window Filters J Engels, B Landrum, S Yu, L Dhulipala, J Shun Proceedings of the 41st International Conference on Machine Learning, 12469 …, 2024 | 1 | 2024 |
| The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering S Yu, J Shi, J Meindl, D Eisenstat, X Ju, S Tavakkol, L Dhulipala, J Łącki, ... arXiv preprint arXiv:2411.10290, 2024 | | 2024 |
Julian ShunMITVerified email at mit.edu
