Shaohuai Shi
8 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
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Topic Evolution
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Application Areas
(2)
Optimization & Theory · Deep Learning
(2)
Healthcare & Medicine
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Generation
(1)
Keywords
federated learning
(2)
model compression
(2)
client drift
(2)
data heterogeneity
(2)
domain adaptation
(1)
video generation
(1)
medical imaging
(1)
convergence analysis
(1)
neural architecture search
(1)
communication efficiency
(1)
training efficiency
(1)
second-order optimization
(1)
conditional distribution
(1)
convolutional neural network
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
distributed stochastic gradient descent
(1)
latency reduction
(1)
diffusion transformer
(1)
computed tomography
(1)
Papers
PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling
AAAI 2026
SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
AAAI 2026
FedImpro: Measuring and Improving Client Update in Federated Learning
ICLR 2024
Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation
ICLR 2023
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching
ECCV 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
ICML 2022
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans
AAAI 2021
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification
IJCAI 2019