activity
20242026
collaborators

6 papers

cs.AI2026

Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking

Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi +3

Misinformation spreading over the Internet poses a significant threat to both societies and individuals, necessitating robust and scalable fact-checking that relies on retrieving a…

cs.DS2025

Approximate Graph Propagation Revisited: Dynamic Parameterized Queries, Tighter Bounds and Dynamic Updates

Zhuowei Zhao, Zhuo Zhang, Hanzhi Wang +3

We revisit Approximate Graph Propagation (AGP), a unified framework which captures various graph propagation tasks, such as PageRank, feature propagation in Graph Neural Networks (…

cs.LG2025

Towards Synthesizing High-Dimensional Tabular Data with Limited Samples

Zuqing Li, Junhao Gan, Jianzhong Qi

Diffusion-based tabular data synthesis models have yielded promising results. However, when the data dimensionality increases, existing models tend to degenerate and may perform ev…

cs.CL2025

Towards Question Answering over Large Semi-structured Tables

Yuxiang Wang, Junhao Gan, Jianzhong Qi

Table Question Answering (TableQA) attracts strong interests due to the prevalence of web information presented in the form of semi-structured tables. Despite many efforts, TableQA…

cs.DS2024

Dynamic Structural Clustering Unleashed: Flexible Similarities, Versatile Updates and for All Parameters

Zhuowei Zhao, Junhao Gan, Boyu Ruan +3

We study structural clustering on graphs in dynamic scenarios, where the graphs can be updated by arbitrary insertions or deletions of edges/vertices. The goal is to efficiently co…

cs.CL2024

Accurate and Regret-aware Numerical Problem Solver for Tabular Question Answering

Yuxiang Wang, Jianzhong Qi, Junhao Gan

Question answering on free-form tables (a.k.a. TableQA) is a challenging task because of the flexible structure and complex schema of tables. Recent studies use Large Language Mode…