collaborators

16 papers

cs.RO2026

Flying over The Uncertain Nature (FORTUNE): Intelligent and Humanistic 3D Path Planning for Low-Altitude Collaboration

Minghui Liwang, Wenhan Jia, Xinlei Yi +3

The proliferation of low-altitude intelligent agents is increasing the demand for timely and socially responsible collaborative sensing in dynamic urban environments. However, join…

cs.RO2026

SAGE: A Socially-Aware Generative Engine for Heterogeneous Multi-Agent Navigation

Lan Hu, Minghui Liwang, Wenbo Zhu +5

Safe and socially compliant navigation in open human-robot environments requires robots to reason about heterogeneous participants with different dynamics, autonomy levels, and soc…

cs.NI2026

FUSION: Forecast-Embedded Agent Scheduling with Service Incentive Optimization over Distributed Air-Ground Edge Networks

Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour +5

In this paper, we introduce a first-of-its-kind forecasting-driven, incentive-aware service provisioning framework for distributed air-ground integrated networks that explicitly ac…

cs.NI2026

STEPS: Semantic Contract-Guided Scheduling for LLM-Assisted Natural Language-Driven Edge AI Services

Houyi Qi, Minghui Liwang, Xianbin Wang +2

Edge user/service scheduling has become a cornerstone of distributed AI systems, determining where and how AI services are executed under limited communication and computing resour…

cs.LG2026

HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning

Xiaohong Yang, Minghui Liwang, Xianbin Wang +4

The rapid growth of AI-enabled Internet of Vehicles (IoV) calls for efficient Machine Learning (ML) solutions that can handle high vehicular mobility and decentralized data. This h…

cs.NI2026

Forecasting-Driven Stable Successor Matching for UAV-Assisted Continuous Edge Services

Houyi Qi, Minghui Liwang, Yuhan Su +1

Continuous and reliable service support is crucial for emerging latency-sensitive and computation-intensive applications in UAV-assisted edge networks (UENs) due to operational dyn…