Rex Ying

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 BLIS-Net: Classifying and Analyzing Signals on Graphs AISTATS 2024 DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs NeurIPS 2024 Explaining Graph Neural Networks via Structure-aware Interaction Index ICML 2024 FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024 From Similarity to Superiority: Channel Clustering for Time Series Forecasting NeurIPS 2024 Learning High-Order Relationships of Brain Regions ICML 2024 Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning EMNLP 2024 P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains EMNLP 2024 Position: Relational Deep Learning - Graph Representation Learning on Relational Databases ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer NeurIPS 2024 Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023 D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion NeurIPS 2023 Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences AAAI 2023 FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning ICML 2023 HiPool: Modeling Long Documents Using Graph Neural Networks ACL 2023 Hyperbolic Representation Learning: Revisiting and Advancing ICML 2023 Learning to Group Auxiliary Datasets for Molecule NeurIPS 2023 MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data NeurIPS 2023 Static and Sequential Malicious Attacks in the Context of Selective Forgetting NeurIPS 2023 TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery NeurIPS 2023 Local Augmentation for Graph Neural Networks ICML 2022 Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification NAACL 2021 Identity-aware Graph Neural Networks AAAI 2021 Multi-hop Attention Graph Neural Networks IJCAI 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