Bozhen Hu
13 papers · 2023–2025 · 4 conferences · across top CS/AI conferences
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protein representation
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graph neural network
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protein structure
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domain adaptation
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drug discovery
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deep learning
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implicit neural representation
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contrastive learning
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conditional mutual information
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protein sequence
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few-shot learning
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generative model
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dynamic graph
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molecular dynamics
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compound-protein interaction
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drug design
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mixture of expert
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protein representation learning
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gene ontology
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Papers
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
ICLR 2025
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
AAAI 2025
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
ICLR 2025
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
NIPS 2024
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
NIPS 2024
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
AAAI 2024
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
AAAI 2024
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
ICLR 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
ICML 2024
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
NIPS 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
NIPS 2024
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
ICLR 2023
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions
NIPS 2023