Rex Ying
33 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (10)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π¬
Deep Specialist
(17)
π
Keyword Champion
(2)
π₯
Mega-Team
(71)
π
Grand Slam
ποΈ
Keyword Collector
(142)
π
Century Club
(32)
π₯
Unstoppable
(8)
β‘
Prolific Year
(11)
Conferences
ICML (10)
NIPS (8)
EMNLP (4)
AAAI (3)
ACL (3)
AISTATS (1)
CVPR (1)
ICLR (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
graph neural network
(18)
link prediction
(3)
attention mechanism
(3)
node classification
(3)
large language model
(3)
message passing
(3)
logical reasoning
(2)
representation learning
(2)
long sequence modeling
(2)
retrieval-augmented generation
(2)
adversarial attack
(2)
multimodal learning
(2)
benchmark dataset
(2)
multi-hop attention
(2)
graph classification
(1)
information bottleneck
(1)
few-shot learning
(1)
text classification
(1)
signal classification
(1)
adversarial robustness
(1)
Papers
Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA
ACL 2026
An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control
AAAI 2025
GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models
EMNLP 2025
Mixture-of-Personas Language Models for Population Simulation
ACL 2025
Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
EMNLP 2024
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
NIPS 2024
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
NIPS 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
NIPS 2024
BLIS-Net: Classifying and Analyzing Signals on Graphs
AISTATS 2024
FOLIO: Natural Language Reasoning with First-Order Logic
EMNLP 2024
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
EMNLP 2024
Explaining Graph Neural Networks via Structure-aware Interaction Index
ICML 2024
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
ICML 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
Learning High-Order Relationships of Brain Regions
ICML 2024
Adversarially Robust Neural Architecture Search for Graph Neural Networks
CVPR 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data
NIPS 2023
Learning to Group Auxiliary Datasets for Molecule
NIPS 2023
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
ICML 2023
Hyperbolic Representation Learning: Revisiting and Advancing
ICML 2023
Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences
AAAI 2023
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion
NIPS 2023
HiPool: Modeling Long Documents Using Graph Neural Networks
ACL 2023
Static and Sequential Malicious Attacks in the Context of Selective Forgetting
NIPS 2023
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery
NIPS 2023
Local Augmentation for Graph Neural Networks
ICML 2022
Multi-hop Attention Graph Neural Networks
IJCAI 2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
NAACL 2021
Identity-aware Graph Neural Networks
AAAI 2021
Learning to Simulate Complex Physics with Graph Networks
ICML 2020
Neural Execution of Graph Algorithms
ICLR 2020
Position-aware Graph Neural Networks
ICML 2019
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
ICML 2018