Yifei Shen
23 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (43) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Dynamic Duo
(13)
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Keyword Champion
(2)
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Renaissance Researcher
(7)
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Century Club Β· Bronze
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The Questioner
(4)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(110)
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Prolific Year Β· Productive
Top co-authors
Research topics
Deep Learning
(14)
Machine Learning
(14)
Artificial Intelligence
(12)
Core AI
(12)
Architectures
(9)
Application Areas
(7)
Models
(7)
Learning Types Β· Deep Learning
(5)
Optimization & Theory
(5)
Natural Language Processing
(4)
Core Methods
(4)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Keywords
graph neural network
(4)
diffusion model
(4)
representation learning
(3)
benchmark evaluation
(3)
domain generalization
(3)
large language model
(2)
retrieval-augmented generation
(2)
distribution shift
(2)
electronic health record
(2)
diffusion planning
(2)
model selection
(1)
image generation
(1)
offline reinforcement learning
(1)
transformer architecture
(1)
combinatorial optimization
(1)
vision transformer
(1)
function approximation
(1)
causal inference
(1)
decision making
(1)
information bottleneck
(1)
Papers
Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA
ACL 2026
Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL
EACL 2026
Habitizing Diffusion Planning for Efficient and Effective Decision Making
ICML 2025
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
ICLR 2025
Large Multi-modal Models Can Interpret Features in Large Multi-modal Models
ICCV 2025
SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification
ACL 2025
What Makes a Good Diffusion Planner for Decision Making?
ICLR 2025
When Do LLMs Help With Node Classification? A Comprehensive Analysis
ICML 2025
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
NeurIPS 2024
Can Graph Learning Improve Planning in LLM-based Agents?
NeurIPS 2024
LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning
EMNLP 2024
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
ICLR 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
NeurIPS 2024
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
ICML 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
NeurIPS 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
AAAI 2023
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
ICLR 2023
Sparse Mixture-of-Experts are Domain Generalizable Learners
ICLR 2023
Invariant Information Bottleneck for Domain Generalization
AAAI 2022
Neural Piecewise-Constant Delay Differential Equations
AAAI 2022
Recognizing Vector Graphics without Rasterization
NeurIPS 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
NeurIPS 2021
Complete Dictionary Learning via β_p-norm Maximization
UAI 2020