Shiyuan Deng

Orcid: 0009-0007-7883-3458

According to our database1, Shiyuan Deng authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents.
CoRR, May, 2026

DistVS: Large-scale Vector Search with Compute-Memory Disaggregation.
Proceedings of the 23rd USENIX Symposium on Networked Systems Design and Implementation, 2026

2025
SAQ: Pushing the Limits of Vector Quantization through Code Adjustment and Dimension Segmentation.
Proc. ACM Manag. Data, 2025

On estimation and order selection for multivariate extremes via clustering.
J. Multivar. Anal., 2025

2024
Parallel Communication Obliviousness: One Round and Beyond.
Proc. ACM Manag. Data, November, 2024

Subgraph Enumeration in Optimal I/O Complexity.
Proceedings of the 27th International Conference on Database Theory, 2024

2023
On Join Sampling and the Hardness of Combinatorial Output-Sensitive Join Algorithms.
Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2023

Space-Query Tradeoffs in Range Subgraph Counting and Listing.
Proceedings of the 26th International Conference on Database Theory, 2023

Enumerating Subgraphs of Constant Sizes in External Memory.
Proceedings of the 26th International Conference on Database Theory, 2023

2022
Cross-Space Active Learning on Graph Convolutional Networks.
Proceedings of the International Conference on Machine Learning, 2022

2020
High Performance Distributed OLAP on Property Graphs with Grasper.
Proceedings of the 2020 International Conference on Management of Data, 2020

2019
Pyramid: A General Framework for Distributed Similarity Search.
CoRR, 2019

Pyramid: A General Framework for Distributed Similarity Search on Large-scale Datasets.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019


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