Yifei Shen
23 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (5)
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Keyword Collector
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Conferences
NIPS (6)
ICLR (5)
AAAI (3)
ICML (3)
ACL (2)
EACL (1)
EMNLP (1)
ICCV (1)
UAI (1)
Top co-authors
Keywords
graph neural network
(4)
representation learning
(3)
benchmark evaluation
(2)
electronic health record
(2)
diffusion model
(2)
retrieval-augmented generation
(2)
information bottleneck
(1)
transformer architecture
(1)
combinatorial optimization
(1)
image generation
(1)
domain generalization
(1)
transfer learning
(1)
multimodal learning
(1)
function approximation
(1)
causal inference
(1)
claim verification
(1)
in-context learning
(1)
zero-shot learning
(1)
graph representation learning
(1)
object detection
(1)
Papers
Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL
EACL 2026
Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA
ACL 2026
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
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
ICLR 2025
What Makes a Good Diffusion Planner for Decision Making?
ICLR 2025
Habitizing Diffusion Planning for Efficient and Effective Decision Making
ICML 2025
When Do LLMs Help With Node Classification? A Comprehensive Analysis
ICML 2025
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
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models
NIPS 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
NIPS 2024
Can Graph Learning Improve Planning in LLM-based Agents?
NIPS 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
NIPS 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
Neural Piecewise-Constant Delay Differential Equations
AAAI 2022
Invariant Information Bottleneck for Domain Generalization
AAAI 2022
Recognizing Vector Graphics without Rasterization
NIPS 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
NIPS 2021
Complete Dictionary Learning via $\ell_p$-norm Maximization
UAI 2020