32 citations · 71 across the 9 of their papers we have counts for
9 papers
PAVE: A Cognitive Architecture for Legitimate Violation in Generative Agent Societies
Ahmad Yehia, Abduallah Mohamed, Kun Qian +4
Generative agents based on large language models reproduce believable human behavior in cooperative settings, but how they should reason in situations where rule-breaking may be re…
EgoTraj: Real-World Egocentric Human Trajectory Dataset for Multimodal Prediction
Ahmad Yehia, Abduallah Mohamed, Tianyi Wang +4
Accurately forecasting human trajectories from an egocentric perspective plays a central role in applications such as humanoid robotics, wearable sensing systems, and assistive nav…
Learning to Seek: Multi-Agent Online Source Seeking Against Non-Stochastic Disturbances
Bin Du, Kun Qian, Christian Claudel +1
This paper proposes to leverage the emerging~learning techniques and devise a multi-agent online source {seeking} algorithm under unknown environment. Of particular significance in…
Multi-Robot Dynamical Source Seeking in Unknown Environments
Bin Du, Kun Qian, Christian Claudel +1
This paper presents an algorithmic framework for the distributed on-line source seeking, termed as 'DoSS', with a multi-robot system in an unknown dynamical environment. Our algori…
Jacobi-Style Iteration for Distributed Submodular Maximization
Bin Du, Kun Qian, Christian Claudel +1
This paper presents a novel Jacobi-style iteration algorithm for solving the problem of distributed submodular maximization, in which each agent determines its own strategy from a…
Real-time Mobile Sensor Management Framework for city-scale environmental monitoring
Kun Qian, Christian G. Claudel
Environmental disasters such as flash floods are becoming more and more prevalent and carry an increasing burden on human civilization. They are usually unpredictable, fast in deve…
Impacts of Covid-19 mode shift on road traffic
Yue Hu, William Barbour, Kun Qian +3
This work considers the sensitivity of commute travel times in US metro areas due to potential changes in commute patterns, for example caused by events such as pandemics. Permanen…
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny +1
Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans. Pedestrian trajectories…
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development
Kun Qian, Abduallah Mohamed, Christian Claudel
Flash floods in urban areas occur with increasing frequency. Detecting these floods would greatlyhelp alleviate human and economic losses. However, current flood prediction methods…