activity
20202025
most citedInterpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model

9 citations · 16 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Diffusion-based 3D Hand Motion Recovery with Intuitive Physics

Yufei Zhang, Zijun Cui, Jeffrey O. Kephart +1

While 3D hand reconstruction from monocular images has made significant progress, generating accurate and temporally coherent motion estimates from videos remains challenging, part…

cs.CV2024

PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos

Yufei Zhang, Jeffrey O. Kephart, Zijun Cui +1

While current methods have shown promising progress on estimating 3D human motion from monocular videos, their motion estimates are often physically unrealistic because they mainly…

cs.CL2023★ 9 cited

Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model

Yizhou Zhang, Loc Trinh, Defu Cao +2

Recent years have witnessed the sustained evolution of misinformation that aims at manipulating public opinions. Unlike traditional rumors or fake news editors who mainly rely on g…

cs.LG2022★ 4 cited

Knowledge-augmented Deep Learning and Its Applications: A Survey

Zijun Cui, Tian Gao, Kartik Talamadupula +1

Deep learning models, though having achieved great success in many different fields over the past years, are usually data hungry, fail to perform well on unseen samples, and lack o…

cs.LG2022

Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data

Zijun Cui, Naiyu Yin, Yuru Wang +1

Causal discovery is to learn cause-effect relationships among variables given observational data and is important for many applications. Existing causal discovery methods assume da…

cs.LG2020★ 3 cited

Type-augmented Relation Prediction in Knowledge Graphs

Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula +2

Knowledge graphs (KGs) are of great importance to many real world applications, but they generally suffer from incomplete information in the form of missing relations between entit…