collaborators

8 papers

eess.SP2026

A JEPA-Based Field-Layer World Model for Bridging Channel Prediction and Estimation

Yuzhi Yang, Brahim Mefgouda, Hang Zou +5

Channel state information (CSI) acquisition, reconstruction, and prediction are fundamental yet costly tasks in modern MIMO-OFDM wireless systems. Direct coefficient-level predicti…

cs.CV2026

RECO: Region-Aware Compensation for Extrinsic Perturbations in Roadside 3D Detection

Junsheng Du, Zhaocheng He, Yuhuan Lu

In intelligent transportation systems, roadside 3D object detection provides wide-area perception crucial for traffic understanding, cooperative early warning, and safe autonomous…

eess.SP2026

SEM-RAG: Structure-Preserving Multimodal Graph Compilation and Entropy-Guided Retrieval for Telecommunication Standards

Yuzhi Yang, Lina Bariah, Yuhuan Lu +2

Telecommunication standards pose a unique challenge for retrieval systems, where accuracy depends on semantic relevance as well as on preserving the structural logic embedded in th…

cs.CV2026

AffectSeek: Agentic Affective Understanding in Long Videos under Vague User Queries

Zhen Zhang, Yuhang Yang, Yunxiang Jiang +5

Existing affective understanding studies have mainly focused on recognizing emotions from images, audio signals, or pre-cliped video clips, where the affective evidence is already…

cs.RO2026

Telecom World Models: Unifying Digital Twins, Foundation Models, and Predictive Planning for 6G

Hang Zou, Yuzhi Yang, Lina Bariah +15

The integration of machine learning tools into telecom networks, has led to two prevailing paradigms, namely, language-based systems, such as Large Language Models (LLMs), and phys…

cs.AI2026

Talk2DM: Enabling Natural Language Querying and Commonsense Reasoning for Vehicle-Road-Cloud Integrated Dynamic Maps with Large Language Models

Lu Tao, Jinxuan Luo, Yousuke Watanabe +6

Dynamic maps (DM) serve as the fundamental information infrastructure for vehicle-road-cloud (VRC) cooperative autonomous driving in China and Japan. By providing comprehensive tra…