Bozhen Hu
13 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π Triple Crown
π€
Dynamic Duo
(13)
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Keyword Champion
(2)
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Grand Slam
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(66)
Venues
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(11)
Architectures
(8)
Core Methods
(7)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Techniques
(3)
Healthcare & Medicine
(2)
Interdisciplinary
(2)
Core AI
(2)
Research
(2)
Science
(2)
Keywords
protein structure
(3)
contrastive learning
(3)
graph neural network
(3)
domain adaptation
(2)
protein representation
(2)
drug discovery
(2)
peptide sequencing
(2)
post-translational modification
(2)
mass spectrometry
(2)
representation learning
(2)
protein sequence
(1)
compound-protein interaction
(1)
euclidean space
(1)
conditional mutual information
(1)
few-shot learning
(1)
sequence modeling
(1)
mixture of expert
(1)
pretraining
(1)
molecular dynamics
(1)
dynamic graph
(1)
Papers
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
AAAI 2025
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
ICLR 2025
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
ICLR 2025
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
NeurIPS 2024
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer
ICML 2024
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
AAAI 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
NeurIPS 2024
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
NeurIPS 2024
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
NeurIPS 2024
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
AAAI 2024
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
ICLR 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
NeurIPS 2023