26 citations · 27 across the 10 of their papers we have counts for
11 papers
RoboPhys-3D: A Comprehensive Embodied World Model Evaluation via 3D Reconstruction
Tianyi Wang, Jiazhou Chen, Yiming Xu +7
Video world models increasingly serve as data engines, action planners, and simulators for embodied AI, but conventional embodied world model (EWM) benchmarks lack a unified 3D-gro…
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines
Saleh Afroogh, Yasser Pouresmaeil, Yiming Xu +3
Large Language Models (LLMs) are rapidly reshaping academic research across the natural sciences, social sciences, and humanities, yet the scientific community lacks a comprehensiv…
Solar phased arrays-based wireless power transfer for commercial airlines can reduce energy costs and carbon emissions in the United States
Tianyi Wang, Yiming Xu, Jiseop Byeon +5
Decarbonizing aviation remains challenging because energy-dense jet fuels dominate beyond short-range operations, while batteries impose severe range and payload penalties. Here we…
DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation
Tianyi Wang, Tianyi Zeng, Zimo Zeng +8
Advanced driver assistance systems (ADAS) play an important role in modern automotive intelligence, significantly enhancing vehicle safety and stability. The performance of ADAS cr…
ARCAS: An Augmented Reality Collision Avoidance System with SLAM-Based Tracking for Enhancing VRU Safety
Ahmad Yehia, Jiseop Byeon, Tianyi Wang +4
Vulnerable road users (VRUs) face high collision risks in mixed traffic, yet most existing safety systems prioritize driver or vehicle assistance over direct VRU support. This pape…
PILD: Physics-Informed Learning via Diffusion
Tianyi Zeng, Tianyi Wang, Jiaru Zhang +7
Diffusion models have emerged as powerful generative tools for modeling complex data distributions, yet their purely data-driven nature limits applicability in engineering and scie…
XR-DT: Extended Reality-Enhanced Digital Twin for Safe Motion Planning via Human-Aware Model Predictive Path Integral Control
Tianyi Wang, Jiseop Byeon, Ahmad Yehia +7
As mobile robots increasingly operate alongside humans in shared workspaces, ensuring safe, efficient, and interpretable Human-Robot Interaction (HRI) has become a pressing challen…
Benchmarking Retrieval-Augmented Generation Strategies for Large Language Model-Based Travel Mode Choice Prediction
Yiming Xu, Junfeng Jiao
Accurately predicting travel mode choice is essential for effective transportation planning, yet traditional statistical and machine learning models are constrained by rigid assump…
SafeMate: A Modular RAG-Based Agent for Context-Aware Emergency Guidance
Junfeng Jiao, Jihyung Park, Yiming Xu +2
Despite the abundance of public safety documents and emergency protocols, most individuals remain ill-equipped to interpret and act on such information during crises. Traditional e…
Investigating Robotaxi Crash Severity with Geographical Random Forest and the Urban Environment
Junfeng Jiao, Seung Gyu Baik, Seung Jun Choi +1
This paper quantitatively investigates the crash severity of Autonomous Vehicles (AVs) with spatially localized machine learning and macroscopic measures of the urban built environ…
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Junfeng Jiao, Saleh Afroogh, Yiming Xu +1
This study addresses ethical issues surrounding Large Language Models (LLMs) within the field of artificial intelligence. It explores the common ethical challenges posed by both LL…