Zuquan Song
5 papers · 2025–2026 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
⭐
Rising Star
(5)
Top co-authors
Research topics
Keywords
llm training
(2)
silent data corruption
(2)
distributed training
(2)
fault detection
(1)
straggler mitigation
(1)
cluster scheduling
(1)
large language model
(1)
online detection
(1)
bit flip
(1)
large language model training
(1)
performance analysis
(1)
fault isolation
(1)
monitoring metric
(1)
system reliability
(1)
what-if analysis
(1)
checkpoint saving
(1)
storage backend
(1)
execution replay
(1)
hardware fault
(1)
corruption sensing
(1)
Papers
Safeguarding LLM Training at Scale: Online SDC Detection and Insights from 35 Million GPU Hours
OSDI 2026
SDCs in the Wild: Characterizing and Diagnosing SDC-Defective GPUs in Production LLM Training (Operational Systems)
OSDI 2026
ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development
NSDI 2025
Minder: Faulty Machine Detection for Large-scale Distributed Model Training
NSDI 2025
Understanding Stragglers in Large Model Training Using What-if Analysis
OSDI 2025