Yi-Lun Liao
5 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(3)
Architectures
(3)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Speech & Audio
(1)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory · Machine Learning
(1)
Recognition
(1)
Keywords
graph neural network
(2)
equivariant transformer
(2)
molecular property prediction
(2)
self-supervised learning
(1)
network pruning
(1)
neural architecture search
(1)
automatic speech recognition
(1)
efficient inference
(1)
model pruning
(1)
network optimization
(1)
autoencoders
(1)
latent diffusion
(1)
equivariant representation
(1)
ordered dropout
(1)
speech representation learning
(1)
generative modelling
(1)
neural network
(1)
energy prediction
(1)
force prediction
(1)
low-resource asr
(1)
Papers
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
ICML 2025
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
ICLR 2024
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
ICLR 2023
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization
CVPR 2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
NeurIPS 2021