Pin Chen
5 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(3)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(8)
🏆
Grand Slam
Conferences
NIPS (2)
AAAI (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
neural network training
(1)
uncertainty quantification
(1)
generative model
(1)
denoising model
(1)
equivariant diffusion
(1)
crystal structure
(1)
material design
(1)
crystal property prediction
(1)
dataset pruning
(1)
graph neural network
(1)
crystal structure prediction
(1)
fractional coordinate
(1)
geometric fingerprinting
(1)
superconducting transition temperature
(1)
Papers
FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction
AAAI 2026
ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
ICLR 2025
Learning Superconductivity from Ordered and Disordered Material Structures
NIPS 2024
Equivariant Diffusion for Crystal Structure Prediction
ICML 2024
Crystal Structure Prediction by Joint Equivariant Diffusion
NIPS 2023