Lidong Zhou
23 papers · 2012–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(12)
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Research topics
Machine Learning
(16)
Application Areas
(11)
Deep Learning
(7)
Optimization & Theory
(7)
Computer Science
(6)
Techniques
(6)
Systems
(5)
Artificial Intelligence
(4)
Core AI
(3)
Natural Language Processing
(2)
Core Methods
(2)
Foundations
(2)
Learning Paradigms
(2)
Learning Types
(2)
Applications
(1)
Keywords
distributed system
(3)
neural architecture search
(2)
search space
(2)
state machine replication
(2)
deep learning training
(2)
compiler optimization
(2)
deep neural network
(2)
gpu scheduling
(2)
fault tolerance
(2)
multimodal learning
(1)
formal verification
(1)
deep learning
(1)
natural language inference
(1)
parallel computing
(1)
neural network training
(1)
distributed learning
(1)
text classification
(1)
neural network model
(1)
model parallelization
(1)
text representation
(1)
Papers
Equal Opportunity: A Correctness Condition for Ordered Consensus
OSDI 2026
Automated Proof Generation for Rust Code via Self-Evolution
ICLR 2025
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
OSDI 2024
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
NSDI 2023
Optimizing Dynamic Neural Networks with Brainstorm
OSDI 2023
VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity
OSDI 2023
Welder: Scheduling Deep Learning Memory Access via Tile-graph
OSDI 2023
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning
OSDI 2022
SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute
OSDI 2022
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
ACL 2021
Byzantine Ordered Consensus without Byzantine Oligarchy
OSDI 2020
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees
OSDI 2020
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks
OSDI 2020
Retiarii: A Deep Learning Exploratory-Training Framework
OSDI 2020
TextNAS: A Neural Architecture Search Space Tailored for Text Representation
AAAI 2020
Capturing and Enhancing In Situ System Observability for Failure Detection
OSDI 2018
Gandiva: Introspective Cluster Scheduling for Deep Learning
OSDI 2018
TuxΒ²: Distributed Graph Computation for Machine Learning
NSDI 2017
Realizing the Fault-Tolerance Promise of Cloud Storage Using Locks with Intent
OSDI 2016
StreamScope: Continuous Reliable Distributed Processing of Big Data Streams
NSDI 2016
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing
OSDI 2014
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
NSDI 2012
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE
OSDI 2012