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04/25/2023
Depth-Relative Self Attention for Monocular Depth Estimation
Monocular depth estimation is very challenging because clues to the exac...
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03/10/2023
Semantic-Preserving Augmentation for Robust Image-Text Retrieval
Image text retrieval is a task to search for the proper textual descript...
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02/02/2023
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) is a technique to train a deep lea...
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01/26/2023
Towards 6G Hyper-Connectivity: Vision, Challenges, and Key Enabling Technologies
Technology forecasts anticipate a new era in which massive numbers of hu...
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03/17/2022
Energy-Efficient Power Control and Beamforming for Reconfigurable Intelligent Surface-Aided Uplink IoT Networks
Recently, reconfigurable intelligent surface (RIS), a planar metasurface...
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02/17/2022
On-Time Communications Over Fading Channels
We consider the on-time transmissions of a sequence of packets over a fa...
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12/31/2021
Fast Graph Subset Selection Based on G-optimal Design
Graph sampling theory extends the traditional sampling theory to graphs ...
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12/29/2021
Semantic Feature Extraction for Generalized Zero-shot Learning
Generalized zero-shot learning (GZSL) is a technique to train a deep lea...
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12/25/2021
Energy-Efficient Ultra-Dense Network with Deep Reinforcement Learning
With the explosive growth in mobile data traffic, ultra-dense network (U...
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10/11/2021
Gradual Federated Learning with Simulated Annealing
Federated averaging (FedAvg) is a popular federated learning (FL) techni...
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02/19/2021
Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility
In this paper, we propose a deep learning-based beam tracking method for...
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12/30/2019
Joint Sparse Recovery Using Signal Space Matching Pursuit
In this paper, we put forth a new joint sparse recovery algorithm called...
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12/23/2019
Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO with Lens-Array
Channel estimation (CE) for millimeter-wave (mmWave) lens-array suffers ...
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10/24/2019
An Optimal Restricted Isometry Condition for Exact Sparse Recovery with Orthogonal Least Squares
The orthogonal least squares (OLS) algorithm is popularly used in sparse...
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09/16/2019
Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems
Cell-free system where a group of base stations (BSs) cooperatively serv...
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07/27/2019
Low-Rank Matrix Completion: A Contemporary Survey
As a paradigm to recover unknown entries of a matrix from partial observ...
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03/21/2019
Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems
Hybrid analog-digital precoding is challenging for broadband millimeter-...
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10/04/2018
EP-based Joint Active User Detection and Channel Estimation for Massive Machine-Type Communications
Massive machine-type communication (mMTC) is a newly introduced service ...
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04/21/2018