PPaperPicks

Rex Ying

Stanford University, Department of Computer Science, CA, USA

38 papers at tracked venues · 31 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA
  2. LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks
  3. Towards A Universal Graph Structural Encoder
  4. An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control
  5. Flow Matching for Collaborative Filtering
  6. GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models
  7. HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
  8. HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell data
  9. Hyperbolic Deep Learning for Foundation Models: A Survey
  10. Hyperbolic Fine-Tuning for Large Language Models
  11. Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
  12. LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs
  13. Lorentzian Residual Neural Networks
  14. MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments
  15. MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
  16. Mixture-of-Personas Language Models for Population Simulation
  17. Non-Markovian Discrete Diffusion with Causal Language Models
  18. Retrieval-Augmented Language Model for Knowledge-aware Protein Encoding
  19. Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching
  20. TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
  21. Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks
  22. Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
  23. BLIS-Net: Classifying and Analyzing Signals on Graphs
  24. DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
  25. DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting
  26. Explaining Graph Neural Networks via Structure-aware Interaction Index
  27. FOLIO: Natural Language Reasoning with First-Order Logic
  28. From Similarity to Superiority: Channel Clustering for Time Series Forecasting
  29. Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space
  30. Learning High-Order Relationships of Brain Regions
  31. Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning
  32. Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability
  33. P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains
  34. Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
  35. Position: TrustLLM: Trustworthiness in Large Language Models
  36. Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
  37. Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges
  38. Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models