Xue Li

Orcid: 0000-0001-5713-7225

Affiliations:
  • Alibaba Group, Hangzhou, China


According to our database1, Xue Li authored at least 25 papers between 2016 and 2025.

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Timeline

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Bibliography

2025
Adaptive Rescheduling in Prefill-Decode Disaggregated LLM Inference.
CoRR, October, 2025

Revisiting Graph Analytics Benchmark.
Proc. ACM Manag. Data, June, 2025

FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding.
CoRR, May, 2025

ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production.
CoRR, May, 2025

Echo: Efficient Co-Scheduling of Hybrid Online-Offline Tasks for Large Language Model Serving.
CoRR, April, 2025

A Survey of Distributed Graph Algorithms on Massive Graphs.
ACM Comput. Surv., February, 2025

Aegaeon: Effective GPU Pooling for Concurrent LLM Serving on the Market.
Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

SkeletonHunter: Diagnosing and Localizing Network Failures in Containerized Large Model Training.
Proceedings of the ACM SIGCOMM 2025 Conference, 2025

Swift Unfolding of Communities: GPU-Accelerated Louvain Algorithm.
Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2025

Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production.
Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

2024
GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes.
Proc. VLDB Endow., November, 2024

Revisiting SLO and Goodput Metrics in LLM Serving.
CoRR, 2024

Unicron: Economizing Self-Healing LLM Training at Scale.
CoRR, 2024

GraphScope Flex: LEGO-like Graph Computing Stack.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Near-Lossless Gradient Compression for Data-Parallel Distributed DNN Training.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023
GraphScope Flex: LEGO-like Graph Computing Stack.
CoRR, 2023

Enhancing Data Lakes with GraphAr: Efficient Graph Data Management with a Specialized Storage Scheme.
CoRR, 2023

Efficient Multi-GPU Graph Processing with Remote Work Stealing.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Flash: A Framework for Programming Distributed Graph Processing Algorithms.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

SMOG: Accelerating Subgraph Matching on GPUs.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2021
3-D Partitioning for Large-Scale Graph Processing.
IEEE Trans. Computers, 2021

GraphScope: A One-Stop Large Graph Processing System.
Proc. VLDB Endow., 2021

GraphScope: A Unified Engine For Big Graph Processing.
Proc. VLDB Endow., 2021

2018
ReGraph: A Graph Processing Framework that Alternately Shrinks and Repartitions the Graph.
Proceedings of the 32nd International Conference on Supercomputing, 2018

2016
Exploring the Hidden Dimension in Graph Processing.
Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016


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