works on

From the 1 of 51 linked papers with an AI index.

activity
20242026
most citedDynamic and Robust Sensor Selection Strategies for Wireless Positioning with TOA/RSS Measurement

9 citations · 13 across the 13 of their papers we have counts for

collaborators

51 papers

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.CE2026

HermesHFL: Incentive-Compatible Hierarchical Federated Unlearning for Dynamic LLM Fine-Tuning

Chenxi Sun, Minghui Liwang, Wusi He +8

The paper introduces HermesHFL, a hierarchical federated learning system that enables selective unlearning and dynamic client participation for fine‑tuning large language models us…

cs.DC2026

DRIFT: Risk-Constrained Diffusion with Imitation Priors for Mixed-Autonomy Traffic Generation

Yaoshen Yu, Minghui Liwang, Wenbo Zhu +5

Future intelligent transportation systems are envisioned to evolve toward a long-term mixed-autonomy paradigm, where human-driven vehicles (HVs) and autonomous vehicles (AVs) coexi…

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…

eess.SP2026

FLAME: A Federated Learning Approach for Multi-Modal RF Fingerprinting

Kasra Borazjani, Kiarash Kianfar, Seyyedali Hosseinalipour +1

Authorization systems are increasingly relying on processing radio frequency (RF) waveforms at receivers to fingerprint (i.e., determine the identity of) the corresponding transmit…

eess.SP20269 cited

Dynamic and Robust Sensor Selection Strategies for Wireless Positioning with TOA/RSS Measurement

Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim +3

Emerging wireless applications are requiring ever more accurate location-positioning from sensor measurements. In this paper, we develop sensor selection strategies for 3D wireless…