Liang Feng
8 papers · 2021–2026 · 7 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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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(22)
🌈
Renaissance Researcher
(6)
Top co-authors
Research topics
Deep Learning
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Generation
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Keywords
large language model
(3)
diffusion transformer
(2)
inference acceleration
(2)
feature caching
(2)
image generation
(2)
video generation
(1)
knowledge transfer
(1)
in-context learning
(1)
prompt engineering
(1)
neural architecture search
(1)
explainability
(1)
continuous control
(1)
algorithm selection
(1)
budgeted optimization
(1)
submodular maximization
(1)
greedy algorithm
(1)
diffusion model
(1)
robotic control
(1)
ordinary differential equation
(1)
data synthesis
(1)
Papers
Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models
CVPR 2026
Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
AAAI 2026
Design Principle Transfer in Neural Architecture Search via Large Language Models
AAAI 2025
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
ICLR 2025
Towards Robustness and Explainability of Automatic Algorithm Selection
ICML 2025
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations
EMNLP 2024
Budgeted Sequence Submodular Maximization
IJCAI 2022
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic
ACML 2021