34 citations · 34 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Are Large Language Models In-Context Graph Learners?
Jintang Li, Ruofan Wu, Yuchang Zhu +3
Large language models (LLMs) have demonstrated remarkable in-context reasoning capabilities across a wide range of tasks, particularly with unstructured inputs such as language or…
cs.NE2024
SGHormer: An Energy-Saving Graph Transformer Driven by Spikes
Huizhe Zhang, Jintang Li, Liang Chen +1
Graph Transformers (GTs) with powerful representation learning ability make a huge success in wide range of graph tasks. However, the costs behind outstanding performances of GTs a…
cs.HC2023★ 34 cited
Exploring the Opportunities of AR for Enriching Storytelling with Family Photos between Grandparents and Grandchildren
Zisu Li, Li Feng, Chen Liang +2
Storytelling with family photos, as an important mode of reminiscence-based activities, can be instrumental in promoting intergenerational communication between grandparents and gr…