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06/10/2023
Rate-Splitting Multiple Access for Simultaneous Multi-User Communication and Multi-Target Sensing
In this paper, we initiate the study of rate-splitting multiple access (...
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04/10/2023
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation
Since clicks usually contain heavy noise, increasing research efforts ha...
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09/18/2022
Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO
Reconfigurable intelligent surface (RIS) can significantly enhance the s...
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06/25/2021
An Edge Computing Paradigm for Massive IoT Connectivity over High-Altitude Platform Networks
With the advent of the Internet-of-Things (IoT) era, the ever-increasing...
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06/05/2021
Dynamic Resource Configuration for Low-Power IoT Networks: A Multi-Objective Reinforcement Learning Method
Considering grant-free transmissions in low-power IoT networks with unkn...
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06/01/2021
A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks
Many machine learning frameworks have been proposed and used in wireless...
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04/10/2021
Deep Weakly Supervised Positioning
PoseNet can map a photo to the position where it is taken, which is appe...
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03/08/2021
Time and Frequency Network for Human Action Detection in Videos
Currently, spatiotemporal features are embraced by most deep learning ap...
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04/06/2019
Quantum Key Distribution System Immune to Polarization-Induced Signal Fading with Quarter-Wave Plate Reflector-Michelson Interferometers
Improvement of QKD performance, particularly on system stability, has be...
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12/01/2018
Markov chain Monte Carlo Methods For Lattice Gaussian Sampling: Lattice Reduction and Decoding Optimization
Sampling from the lattice Gaussian distribution has emerged as an import...
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11/04/2018