activity
20232026
collaborators

6 papers

cs.LG2026

LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs

Ying Zhang, Hang Yu, Haipeng Zhang +1

Text-rich graphs, which integrate complex structural dependencies with abundant textual information, are ubiquitous yet remain challenging for existing learning paradigms. Conventi…

cs.AI2025

Tracing Footsteps of Similar Cities: Modeling Urban Economic Vitality with Dynamic Inter-City Graph Embeddings

Xiaofeng Li, Xiangyi Xiao, Xiaocong Du +2

Urban economic vitality is a crucial indicator of a city's long-term growth potential, comprising key metrics such as the annual number of new companies and the population employed…

cs.SE2025

Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks

Hongyuan Tao, Ying Zhang, Zhenhao Tang +12

Recent advances in Large Language Models (LLMs) have shown promise in function-level code generation, yet repository-level software engineering tasks remain challenging. Current so…

cs.SI2025

Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised Approach

Laixin Xie, Ying Zhang, Xiyuan Wang +6

Influence Maximization (IM) in temporal graphs focuses on identifying influential "seeds" that are pivotal for maximizing network expansion. We advocate defining these seeds throug…

cs.CL2024

Paths of A Million People: Extracting Life Trajectories from Wikipedia

Ying Zhang, Xiaofeng Li, Zhaoyang Liu +1

The life trajectories of notable people have been studied to pinpoint the times and places of significant events such as birth, death, education, marriage, competition, work, speec…

cs.AI2023

Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles

Kai Peng, Ying Zhang, Shuai Ling +2

Celebrities' whereabouts are of pervasive importance. For instance, where politicians go, how often they visit, and who they meet, come with profound geopolitical and economic impl…