Yucheng Lu
13 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Silver 👑 Triple Crown
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Keyword Collector
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The Questioner
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Prolific Year · Productive
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Century Club · Bronze
Venues
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Research topics
Machine Learning
(11)
Optimization & Theory · Machine Learning
(10)
Artificial Intelligence
(5)
Deep Learning
(5)
Mathematics & Optimization
(4)
Application Areas
(4)
Optimization
(4)
Core AI
(3)
Learning Paradigms
(3)
Optimization & Theory · Deep Learning
(3)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Applications · Natural Language Processing
(2)
Applications · Data Science & Analytics
(1)
Generation
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Keywords
stochastic gradient descent
(6)
distributed training
(4)
non-convex optimization
(3)
distributed learning
(3)
large language model
(2)
iteration complexity
(2)
gradient balancing
(2)
adam optimizer
(2)
decentralized learning
(2)
convergence rate
(2)
random reshuffling
(2)
gossip algorithm
(2)
stochastic optimization
(2)
communication efficiency
(2)
model compression
(2)
variance reduction
(1)
time series forecasting
(1)
stratified sampling
(1)
distributed optimization
(1)
text classification
(1)
Papers
Can Reasoning LLMs Synthesize Complex Climate Statements?
ACL 2025
Tracking Green Industrial Policies with LLMs: A Demonstration
ACL 2025
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks
ICML 2023
Coordinating Distributed Example Orders for Provably Accelerated Training
NeurIPS 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements
JMLR 2023
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam
ICLR 2023
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
ICML 2023
A General Analysis of Example-Selection for Stochastic Gradient Descent
ICLR 2022
GraB: Finding Provably Better Data Permutations than Random Reshuffling
NeurIPS 2022
Hyperparameter Optimization Is Deceiving Us, and How to Stop It
NeurIPS 2021
Optimal Complexity in Decentralized Training
ICML 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models
ICML 2021
Moniqua: Modulo Quantized Communication in Decentralized SGD
ICML 2020