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
39 2021 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
36 2021 Differential Privacy from Locally Adjustable Graph Algorithms: L Dhulipala, QC Liu, S Raskhodnikova, J Shi, J Shun, S Yu
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022
33 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
32 * 2022 Improving small language models on PubMedQA via Generative Data Augmentation Z Guo, P Wang, Y Wang, S Yu
arXiv preprint arXiv:2305.07804, 2023
23 2023 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
18 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
16 2020 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
15 2023 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
15 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
15 2022 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
15 2021 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 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
6 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
6 * 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
5 2023 Parallel Filtered Graphs for Hierarchical Clustering S Yu, J Shun
2023 IEEE 39th International Conference on Data Engineering (ICDE), 1967-1980, 2023
5 2023 Transcending Runtime-Memory Tradeoffs in Checkpointing by being Fusion Aware S Yu, H He
Proceedings of Machine Learning and Systems 5, 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 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
3 2024 DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering S Yu, L Dhulipala, J Łącki, N Parotsidis
arXiv preprint arXiv:2501.07745, 2025
2025 
Julian ShunMITDirección de correo verificada de mit.edu
