14 citations · 19 across the 9 of their papers we have counts for
9 papers
Empirical Grounding Improves the Realism of LLM Agents Simulating Human Behavior During Disruptions
Chen Xia, Zexi Kuang, Yuqing Hu
Large language model (LLM) agents offer a generative approach to simulating human behavior under conditions that may have few or no direct historical analogues, a common challenge…
Matching-with-Contracts for the AI-RAN Market: AIGC-as-a-Service for Teleoperation
Zijun Zhan, Yaxian Dong, Daniel Mawunyo Doe +3
Artificial intelligence radio access networks (AI-RANs) are a promising architecture for bolstering the prosperity of the edge AI ecosystem. A well-designed incentive mechanism can…
Learning to Incentivize: LLM-Empowered Contract for AIGC Offloading in Teleoperation
Zijun Zhan, Yaxian Dong, Daniel Mawunyo Doe +4
With the rapid growth in demand for AI-generated content (AIGC), edge AIGC service providers (ASPs) have become indispensable. However, designing incentive mechanisms that motivate…
A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms
Zijun Zhan, Yaxian Dong, Daniel Mawunyo Doe +4
Vertical Federated Learning (VFL)-based Traffic State Estimation (TSE) offers a promising approach for integrating vertically distributed traffic data from municipal authorities (M…
Distributionally Robust Contract Theory for Edge AIGC Services in Teleoperation
Zijun Zhan, Yaxian Dong, Daniel Mawunyo Doe +5
Advanced AI-Generated Content (AIGC) technologies have injected new impetus into teleoperation, further enhancing its security and efficiency. Edge AIGC networks have been introduc…
Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation
Zijun Zhan, Yaxian Dong, Yuqing Hu +3
Integrating low-light image enhancement techniques, in which diffusion-based AI-generated content (AIGC) models are promising, is necessary to enhance nighttime teleoperation. Rema…
An activity-based spatial-temporal community electricity vulnerability assessment framework
Chen Xia, Yuqing Hu, Jianli Chen
The power system is among the most important critical infrastructures in urban cities and is getting increasingly essential in supporting people s daily activities. However, it is…
Community Time-Activity Trajectory Modelling based on Markov Chain Simulation and Dirichlet Regression
Chen Xia, Yuqing Hu, Jianli Chen
Accurate modeling of human time-activity trajectory is essential to support community resilience and emergency response strategies such as daily energy planning and urban seismic v…
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network
Yuqing Hu, Xiaoyuan Cheng, Suhang Wang +3
The world is increasingly urbanizing and the building industry accounts for more than 40% of energy consumption in the United States. To improve urban sustainability, many cities a…