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Youzhi Luo

14 papers · 2021–2025 · 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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+6 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (24) 🀝 Dynamic Duo (13)
πŸ† Grand Slam 🀝 Dynamic Duo (13) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (79) πŸ”₯ Unstoppable Β· Bronze

Venues

ICML (5) NeurIPS (4) ICLR (3) AAAI (1) JMLR (1)

Top co-authors

Shuiwang Ji (13) Meng Liu (4) Shurui Gui (4) Keqiang Yan (3) Xiner Li (3) Limei Wang (2) Yi Liu (2) Yuchao Lin (2) Kanji Uchino (2) Haoran Liu (2)

Research topics

Machine Learning (11) Deep Learning (8) Artificial Intelligence (7) Core AI (7) Core Methods (7) Models (4) Application Areas (3) Architectures (3) Interdisciplinary (2) Learning Types (2) Optimization & Theory (2) Science (2) Computer Vision (1) Natural Language Processing (1) Analysis (1)

Keywords

graph neural network (4) 3d molecule generation (2) drug discovery (2) data augmentation (2) graph representation learning (1) out-of-distribution generalization (1) causal discovery (1) adversarial training (1) self-supervised learning (1) geometric deep learning (1) graph structure (1) deep learning (1) graph generation (1) machine learning (1) disentangled representation (1) target shift (1) normalizing flow (1) variational autoencoder (1) language model (1) tokenization (1)

Papers

Geometry Informed Tokenization of Molecules for Language Model Generation ICML 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation AAAI 2025 Graph Structure Extrapolation for Out-of-Distribution Generalization ICML 2024 Automated Data Augmentations for Graph Classification ICLR 2023 Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction ICML 2023 Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization NeurIPS 2023 Learning Fair Graph Representations via Automated Data Augmentations ICLR 2023 QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules NeurIPS 2023 Towards Symmetry-Aware Generation of Periodic Materials NeurIPS 2023 An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch ICLR 2022 Generating 3D Molecules for Target Protein Binding ICML 2022 DIG: A Turnkey Library for Diving into Graph Deep Learning Research JMLR 2021 GraphDF: A Discrete Flow Model for Molecular Graph Generation ICML 2021 Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence NeurIPS 2021