Haoyang Li

15

Papers

41

Total Citations

Papers (15)

Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization

Subgraph Aggregation for Out-of-Distribution Generalization on Graphs

A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks

AutoGFM: Automated Graph Foundation Model with Adaptive Architecture Customization

Multimodal Graph Neural Architecture Search under Distribution Shifts

CurBench: Curriculum Learning Benchmark

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization

DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models

Robotic Visual Instruction

VLR-Driver: Large Vision-Language-Reasoning Models for Embodied Autonomous Driving

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Disentangled Contrastive Learning on Graphs

Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift

Learning Invariant Graph Representations for Out-of-Distribution Generalization

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts