6 papers
Inferring Hidden Structural Changes from Node-State Responses under Partial Network Observations
En Xu, Jingtao Ding, Yong Li
Online platforms often expose activity signals even when records of the underlying connections are incomplete or delayed. These activity responses may retain indirect evidence of c…
STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation
Peng Yu, En Xu, Bin Chen +2
Knowledge Graph-based Question Answering (KGQA) plays a pivotal role in complex reasoning tasks but remains constrained by two persistent challenges: the structural heterogeneity o…
Inferring Network Evolutionary History via Structure-State Coupled Learning
En Xu, Shihe Zhou, Huandong Wang +2
Inferring a network's evolutionary history from a single final snapshot with limited temporal annotations is fundamental yet challenging. Existing approaches predominantly rely on…
QZhou-Embedding Technical Report
Peng Yu, En Xu, Bin Chen +2
We present QZhou-Embedding, a general-purpose contextual text embedding model with exceptional text representation capabilities. Built upon the Qwen2.5-7B-Instruct foundation model…
A Survey of Physics-Informed AI for Complex Urban Systems
En Xu, Huandong Wang, Yunke Zhang +8
Urban systems are typical examples of complex systems, where the integration of physics-based modeling with artificial intelligence (AI) presents a promising paradigm for enhancing…
A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History
En Xu, Can Rong, Jingtao Ding +1
The evolutionary processes of complex systems contain critical information regarding their functional characteristics. The generation time of edges provides insights into the histo…