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Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks., , and . ICC Workshops, page 1-6. IEEE, (2021)Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation., , , , , , , and . DAC, page 1-6. IEEE, (2020)User Identification: A Key Enabler for Multi-User Vision-Aided Communications., and . IEEE Open J. Commun. Soc., (2024)DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset., , , , , , and . CoRR, (2022)Environment Semantic Aided Communication: A Real World Demonstration for Beam Prediction., , and . ICC Workshops, page 48-53. IEEE, (2023)DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset., , , , , , and . IEEE Commun. Mag., 61 (9): 122-128 (September 2023)Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches., , , , , and . CoRR, (2019)Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff., , and . CoRR, (2021)Towards Real-World 6G Drone Communication: Position and Camera Aided Beam Prediction., , , , , , and . GLOBECOM, page 2951-2956. IEEE, (2022)Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction., , and . CoRR, (2022)