Quanlu Zhang
13 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18)
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Keyword Champion
(2)
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Keyword Collector
(60)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(10)
Application Areas
(9)
Deep Learning
(5)
Techniques
(5)
Artificial Intelligence
(4)
Computer Science
(4)
Core AI
(4)
Systems
(4)
Computer Vision
(2)
Optimization & Theory Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Analysis
(1)
Architectures
(1)
Keywords
model compression
(3)
neural architecture search
(3)
gpu scheduling
(2)
deep learning training
(2)
latency optimization
(2)
reinforcement learning
(2)
hardware acceleration
(2)
face detection
(1)
dynamic scheduling
(1)
matrix factorization
(1)
deep learning
(1)
resource allocation
(1)
neural network model
(1)
distributed training
(1)
domain adaptation
(1)
weight pruning
(1)
context length
(1)
deep neural network
(1)
inference efficiency
(1)
model parallelization
(1)
Papers
DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training
OSDI 2026
RLinf: Flexible and Efficient Large-Scale Reinforcement Learning via Macro-to-Micro Flow Transformation
OSDI 2026
Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation
OSDI 2024
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
OSDI 2024
You Only Cache Once: Decoder-Decoder Architectures for Language Models
NeurIPS 2024
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
ICCV 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
ICCV 2023
Privacy-Preserving Online AutoML for Domain-Specific Face Detection
CVPR 2022
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
OSDI 2022
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
OSDI 2020
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression
COLING 2020
Retiarii: A Deep Learning Exploratory-Training Framework
OSDI 2020
Gandiva: Introspective Cluster Scheduling for Deep Learning
OSDI 2018