Wencong Xiao
11 papers · 2017–2026 · 4 venues · across top CS/AI venues
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Achievements
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Research topics
Computer Science
(7)
Machine Learning
(7)
Systems
(7)
Application Areas
(6)
Artificial Intelligence
(4)
Core AI Β· Artificial Intelligence
(4)
Deep Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Optimization & Theory Β· Machine Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
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(1)
Core AI Β· Computer Vision
(1)
Models
(1)
Resources & Methods
(1)
Keywords
cluster scheduling
(3)
large language model
(3)
resource scheduling
(2)
silent data corruption
(2)
deep learning
(2)
model compression
(2)
gpu cluster
(2)
gpu utilization
(2)
gpu scheduling
(2)
llm training
(2)
resource utilization
(2)
sparsity pattern
(1)
deep learning training
(1)
convolutional neural network
(1)
sparse model
(1)
gpu computing
(1)
reinforcement learning
(1)
machine learning
(1)
low-bit quantization
(1)
parallel computing
(1)
Papers
DistRS: Disaggregated Reward Service for RLVR with Batch-Level Constraint
NSDI 2026
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
Teaching the Old Dog New Tricks: Building Efficient Data Pipelines for Large-Scale LLM Pre-Training (Operational Systems)
OSDI 2026
Llumnix: Dynamic Scheduling for Large Language Model Serving
OSDI 2024
MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters
NSDI 2022
AntMan: Dynamic Scaling on GPU Clusters for Deep Learning
OSDI 2020
Balanced Sparsity for Efficient DNN Inference on GPU
AAAI 2019
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
CVPR 2019
Gandiva: Introspective Cluster Scheduling for Deep Learning
OSDI 2018
TuxΒ²: Distributed Graph Computation for Machine Learning
NSDI 2017