Yuan Yuan

Orcid: 0000-0002-3976-0870

Affiliations:

Ohio State University, Columbus, OH, USA (PhD 2016)

According to our database¹, Yuan Yuan authored at least 31 papers between 2013 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs.

[BibT_eX]

[DOI]

CoRR, July, 2025

Pruning-Based Adaptive Federated Learning at the Edge.

[BibT_eX]

[DOI]

IEEE Trans. Computers, May, 2025

TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data.

[BibT_eX]

[DOI]

CoRR, April, 2025

Adaptive pruning-based Newton's method for distributed learning.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2025

A Case Study for Ray Tracing Cores: Performance Insights with Breadth-First Search and Triangle Counting in Graphs.

[BibT_eX]

[DOI]

Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025

2024

Distributed Learning for Large-Scale Models at Edge With Privacy Protection.

[BibT_eX]

[DOI]

IEEE Trans. Computers, April, 2024

BR-FEEL: A backdoor resilient approach for federated edge learning with fragment-sharing.

[BibT_eX]

[DOI]

J. Syst. Archit., 2024

Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts.

[BibT_eX]

[DOI]

Haiyang Jiang

Tong Chen

Wentao Zhang

Nguyen Quoc Viet Hung

Yuan Yuan

Yong Li

Lizhen Cui

CoRR, 2024

Unity is Power: Semi-Asynchronous Collaborative Training of Large-Scale Models with Structured Pruning in Resource-Limited Clients.

[BibT_eX]

[DOI]

CoRR, 2024

Federating to Grow Transformers with Constrained Resources without Model Sharing.

[BibT_eX]

[DOI]

CoRR, 2024

Fed-MoE: Efficient Federated Learning for Mixture-of-Experts Models via Empirical Pruning.

[BibT_eX]

[DOI]

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024

BR-DeFedRL: Byzantine-Robust Decentralized Federated Reinforcement Learning with Fast Convergence and Communication Efficiency.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

Fed-NAD: Backdoor Resilient Federated Learning via Neural Attention Distillation.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Intelligent Data and Security, 2024

Fed-MS: Fault Tolerant Federated Edge Learning with Multiple Byzantine Servers.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023

Decentralized Parallel SGD Based on Weight-Balancing for Intelligent IoV.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2023

Resource-Adaptive Newton's Method for Distributed Learning.

[BibT_eX]

[DOI]

Proceedings of the Computing and Combinatorics - 29th International Conference, 2023

2021

D-(DP)2SGD: Decentralized Parallel SGD with Differential Privacy in Dynamic Networks.

[BibT_eX]

[DOI]

Wirel. Commun. Mob. Comput., 2021

Distributed Social Learning With Imperfect Information.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2021

NestGPU: Nested Query Processing on GPU.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

Fast Fault-Tolerant Sampling via Random Walk in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

SQLoop: High Performance Iterative Processing in Data Management.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

A distributed in-memory key-value store system on heterogeneous CPU-GPU cluster.

[BibT_eX]

[DOI]

VLDB J., 2017

Feisu: Fast Query Execution over Heterogeneous Data Sources on Large-Scale Clusters.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

BCC: Reducing False Aborts in Optimistic Concurrency Control with Low Cost for In-Memory Databases.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2016

Spark-GPU: An accelerated in-memory data processing engine on clusters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2015

Hetero-DB: Next Generation High-Performance Database Systems by Best Utilizing Heterogeneous Computing and Storage Resources.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2015

SideWalk: A Facility of Lightweight Out-of-Band Communications for Augmenting Distributed Data Processing Flows.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

Concurrent Analytical Query Processing with GPUs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Major technical advancements in apache hive.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Management of Data, 2014

2013

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices.

[BibT_eX]

[DOI]

Yuan Yuan

Rubao Lee

Xiaodong Zhang

Proc. VLDB Endow., 2013

Yuan Yuan

Timeline

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