Publications

Enabling ‘See-and-Point’ Communication between Robots

Published in IEEE Transactions on Mobile Computing, 2026, 2026

We propose a physical-world addressing mechanism and vision-driven real-time scene-to-channel conversion, enabling robots to establish directional communication links using only an onboard camera.

Recommended citation: Huangwei Wu, Weiguo Wang, Meng Jin, Zhuxuan He, Qi Cao, Xinbing Wang, Chenghu Zhou. "Enabling See-and-Point Communication between Robots," IEEE Transactions on Mobile Computing, 2026. https://doi.org/10.1109/TMC.2026.3665613

Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices

Published in IEEE/ACM Transactions on Networking, 2026, 2026

We extend SpotSound with customizable spot sizes, synthetic CIR data generation for cross-scenario generalization, and relaxed channel reciprocity assumptions.

Recommended citation: Huangwei Wu*, Tingchao Fan*, Meng Jin, Tao Chen, Xinbing Wang, Chenghu Zhou. "Neural-Enhanced Modulation for Spatial Selective Transmission on Low-End IoT Devices," IEEE/ACM Transactions on Networking, 2026. https://doi.org/10.1109/TON.2025.3650658

Towards Spatial Selection Transmission for Low-end IoT Devices with SpotSound

Published in ACM MobiCom 2023, 2023

We propose a neural-enhanced modulation scheme that leverages indoor multipath effects as a natural beamformer, enabling spatial selective transmission on low-end single-antenna IoT devices for the first time.

Recommended citation: Tingchao Fan*, Huangwei Wu*, Meng Jin, Tao Chen, Longfei Shangguan, Xinbing Wang, Chenghu Zhou. "Towards Spatial Selection Transmission for Low-end IoT Devices with SpotSound," ACM MobiCom, 2023. https://doi.org/10.1145/3570361.3592496