Rick L. Stevens
5 papers · 2022–2025 · 4 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(4)
Deep Learning
(3)
Architectures
(3)
Core AI
(3)
Machine Learning
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Core Methods
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Research
(1)
Keywords
active learning
(1)
reinforcement learning
(1)
online learning
(1)
policy gradient
(1)
attention mechanism
(1)
query complexity
(1)
label efficiency
(1)
regret bound
(1)
active model selection
(1)
contextual selection
(1)
pre-trained model
(1)
label request
(1)
graph attention network
(1)
drug discovery
(1)
molecular generation
(1)
molecule generation
(1)
protein representation learning
(1)
gating mechanism
(1)
exploration-exploitation balance
(1)
generative pre-trained transformer
(1)
Papers
Bidirectional Hierarchical Protein Multi-Modal Representation Learning
MLHC 2025
ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization
MLHC 2025
Contextual Active Model Selection
NeurIPS 2024
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
ICML 2024
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
ICLR 2022