activity
20222026
most citedToward 6G TK Extreme Connectivity: Architecture, Key Technologies and Experiments

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Channel Knowledge Map Reconstruction From Sparse Measurements via Pilot-Anchored Layout-Conditioned Fourier Refinement

Zhonghao Jiu, Fan Meng, Yongming Huang +3

Channel knowledge maps (CKMs) enable environment-aware wireless systems by providing location-specific channel knowledge, but long-term environmental variations, such as constructi…

eess.SP2026

RieIF: Knowledge-Driven Riemannian Information Flow for Robust Spatio-Temporal Graph Signal Prediction in 6G Wireless Networks

Zhonghao Jiu, Yongming Huang, Fan Meng +3

With 6G evolving towards intelligent network autonomy, artificial intelligence (AI)-native operations are becoming pivotal. Wireless networks continuously generate rich and heterog…

cs.NI2024

Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments

Yongming Huang, Xiaohu You, Hang Zhan +3

Intelligent communications have played a pivotal role in shaping the evolution of 6G networks. Native artificial intelligence (AI) within green communication systems must meet stri…

cs.LG2022★ 1 cited

Representation Learning of Knowledge Graph for Wireless Communication Networks

Shiwen He, Yeyu Ou, Liangpeng Wang +3

With the application of the fifth-generation wireless communication technologies, more smart terminals are being used and generating huge amounts of data, which has prompted extens…

cs.NI2022★ 3 cited

Toward 6G TK Extreme Connectivity: Architecture, Key Technologies and Experiments

Xiaohu You, Yongming Huang, Shengheng Liu +20

Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the…