Haoyang Li

11

Papers

41

Total Citations

Papers (11)

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

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

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

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