Scholar
Eiko Yoneki
Google Scholar ID: 39qZ_EsAAAAJ
Computer Laboratory, University of Cambridge
optimisation
large-scale graph processing
distributed systems
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Citations & Impact
All-time
Citations
1,672
H-index
19
i10-index
34
Publications
20
Co-authors
33
list available
Publications
10 items
Efficient Multi-round LLM Inference over Disaggregated Serving
2026
Cited
0
OServe: Accelerating LLM Serving via Spatial-Temporal Workload Orchestration
2026
Cited
0
BOute: Cost-Efficient LLM Serving with Heterogeneous LLMs and GPUs via Multi-Objective Bayesian Optimization
2026
Cited
1
Efficient Pre-Training of LLMs via Topology-Aware Communication Alignment on More Than 9600 GPUs
2025
Cited
0
AutoIndexer: A Reinforcement Learning-Enhanced Index Advisor Towards Scaling Workloads
2025
Cited
0
ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
2025
Cited
0
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach
2025
Cited
0
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
2025
Cited
0
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Co-authors
9 total
Jon Crowcroft
University of Cambridge
Pan Hui
Chair Professor, Nokia Chair in Data Science, FREng & IEEE Fellow (HKUST & University of Helsinki)
Hyoungshick Kim
Sungkyunkwan University
Steven Hand
Cambridge
Jérôme Kunegis
SWIFT
Ruben Cuevas Rumin
Associate Professor, Universidad Carlos III de Madrid; Co-Founder, Hiili S.L
Vassilis Kostakos
School of Computing and Information Systems, University of Melbourne
Nishanth Sastry
University of Surrey
