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05/11/2023
Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts
We present a sequence-to-sequence vision-language model whose parameters...
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01/26/2023
Channel Estimation for RIS-aided mmWave Massive MIMO System Using Few-bit ADCs
Millimeter wave (mmWave) massive multiple-input multiple-output (massive...
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10/19/2022
CFAR based NOMP for Line Spectral Estimation and Detection
The line spectrum estimation problem is considered in this paper. We pro...
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09/27/2022
Towards Regression-Free Neural Networks for Diverse Compute Platforms
With the shift towards on-device deep learning, ensuring a consistent be...
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05/30/2022
Confederated Learning: Federated Learning with Decentralized Edge Servers
Federated learning (FL) is an emerging machine learning paradigm that al...
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05/08/2022
Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing
To achieve communication-efficient federated multitask learning (FMTL), ...
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09/25/2021
A Variational Bayesian Inference-Inspired Unrolled Deep Network for MIMO Detection
The great success of deep learning (DL) has inspired researchers to deve...
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02/03/2021
Session-based Recommendation with Self-Attention Networks
Session-based recommendation aims to predict user's next behavior from c...
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10/11/2020
Joint Transceiver and Large Intelligent Surface Design for Massive MIMO MmWave Systems
Large intelligent surface (LIS) has recently emerged as a potential low-...
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01/31/2020
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation
Quantization plays an important role for energy-efficient deployment of ...
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12/25/2019
Channel Estimation and Hybrid Beamforming for Reconfigurable Intelligent Surfaces Assisted THz Communications
Terahertz (THz) communications are promising to be the next frontier for...
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12/02/2019
Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
In this paper, we study the problem of joint active and passive beamform...
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09/22/2019
Outlier-Detection Based Robust Information Fusion for Networked Systems
We consider state estimation for networked systems where measurements fr...
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09/16/2019
Intelligent Reflecting Surface Design for MIMO System by Maximizing Sum-Path-Gains
Intelligent reflecting surface (IRS) serves as an emerging paradigm to e...
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03/24/2019
Fast Compressed Power Spectrum Estimation: Towards A Practical Solution for Wideband Spectrum Sensing
There has been a growing interest in wideband spectrum sensing due to it...
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11/09/2018
Fast Beam Alignment for Millimeter Wave Communications: A Sparse Encoding and Phaseless Decoding Approach
In this paper, we studied the problem of beam alignment for millimeter w...
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11/05/2018
Low-Rank Phase Retrieval via Variational Bayesian Learning
In this paper, we consider the problem of low-rank phase retrieval whose...
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12/20/2017
Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach
We consider the problem of spectrum sharing in a cognitive radio system ...
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12/20/2017
Intelligent Power Control for Spectrum Sharing: A Deep Reinforcement Learning Approach
We consider the problem of spectrum sharing in a cognitive radio system ...
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11/06/2017
Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning
In this paper, we consider the block-sparse signals recovery problem in ...
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08/24/2017
Bayesian Compressive Sensing Using Normal Product Priors
In this paper, we introduce a new sparsity-promoting prior, namely, the ...
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08/08/2017
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models
The problem of low rank matrix completion is considered in this paper. T...
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10/10/2016