3 papers
cs.CV2026
UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Science
Jie Zhang, Xingtong Yu, Yuan Fang +2
Learning transferable multimodal embeddings for urban environments is challenging because urban understanding is inherently spatial, yet existing datasets and benchmarks lack expli…
cs.LG2025
Non-Homophilic Graph Pre-Training and Prompt Learning
Xingtong Yu, Jie Zhang, Yuan Fang +1
Graphs are ubiquitous for modeling complex relationships between objects across various fields. Graph neural networks (GNNs) have become a mainstream technique for graph-based appl…
cs.CL2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning
Zhihao Wen, Jie Zhang, Yuan Fang
Fine-tuning all parameters of large language models (LLMs) necessitates substantial computational power and extended time. Latest advancements in parameter-efficient fine-tuning (P…