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04/17/2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation
Decision Transformers (DT) have demonstrated strong performances in offl...
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03/09/2023
Planning with Large Language Models for Code Generation
Existing large language model-based code generation pipelines typically ...
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10/30/2022
Benchmarking Adversarial Patch Against Aerial Detection
DNNs are vulnerable to adversarial examples, which poses great security ...
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10/08/2022
KG-MTT-BERT: Knowledge Graph Enhanced BERT for Multi-Type Medical Text Classification
Medical text learning has recently emerged as a promising area to improv...
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06/27/2022
Prompting Decision Transformer for Few-Shot Policy Generalization
Humans can leverage prior experience and learn novel tasks from a handfu...
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06/14/2022
CVR-LSE: Compact Vectorization Representation of Local Static Environments for Unmanned Ground Vehicles
According to the requirement of general static obstacle detection, this ...
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06/08/2022
Efficient reversible data hiding via two layers of double-peak embedding
Reversible data hiding continues to attract significant attention in rec...
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04/14/2022
Least-Squares Methods with Nonconforming Finite Elements for General Second-Order Elliptic Equations
In this paper, we study least-squares finite element methods (LSFEM) for...
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01/20/2022
Several Coercivity Proofs of First-Order System Least-Squares Methods for Second-Order Elliptic PDEs
In this paper, we present three versions of proofs of the coercivity for...
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08/09/2021
Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO
In a time-varying massive multiple-input multipleoutput (MIMO) system, t...
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05/14/2021
Deep Learning Based RIS Channel Extrapolation with Element-grouping
Reconfigurable intelligent surface (RIS) is considered as a revolutionar...
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02/25/2021
Deep Learning based Channel Extrapolation for Large-Scale Antenna Systems: Opportunities, Challenges and Solutions
With the depletion of spectrum, wireless communication systems turn to e...
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02/01/2021
Regionalized location obfuscation mechanism with personalized privacy levels
Global Positioning Systems are now a standard module in mobile devices, ...
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12/22/2020
Ordinary Differential Equation-based CNN for Channel Extrapolation over RIS-assisted Communication
The reconfigurable intelligent surface (RIS) is considered as a promisin...
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10/03/2020
Utility-efficient Differentially Private K-means Clustering based on Cluster Merging
Differential privacy is widely used in data analysis. State-of-the-art k...
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09/03/2020
Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMO
In massive multiple-input multiple-output (MIMO) systems, the large numb...
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09/03/2020
Deep Learning Optimized Sparse Antenna Activation for Reconfigurable Intelligent Surface Assisted Communication
To capture the communications gain of the massive radiating elements wit...
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08/08/2020
A Differentially Private Framework in Spatial Crowdsourcing with Historical Data Learning
Spatial crowdsourcing (SC) is an increasing popular category of crowdsou...
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08/03/2020
The Largest Entry in the Inverse of a Vandermonde Matrix
We investigate the size of the largest entry (in absolute value) in the ...
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04/19/2020
Graph Neural Network based Channel Tracking for Massive MIMO Networks
In this paper, we resort to the graph neural network (GNN) and propose t...
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02/27/2020
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation
Brain lesion volume measured on T2 weighted MRI images is a clinically i...
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01/24/2020
Generalized Prager-Synge Inequality and Equilibrated Error Estimators for Discontinuous Elements
The well-known Prager-Synge identity is valid in H^1(Ω) and serves as a ...
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01/03/2020
Differentially Private Combinatorial Cloud Auction
Cloud service providers typically provide different types of virtual mac...
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08/10/2019
Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics
With the rapid development of GPS enabled devices (smartphones) and loca...
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07/17/2019
Multi-Antenna Covert Communications with Random Access Protocol
In this paper, we consider the issue of covert communications with rando...
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07/15/2019
Adaptive Flux-Only Least-Squares Finite Element Methods for Linear Transport Equations
In this paper, two flux-only least-squares finite element methods (LSFEM...
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07/08/2019
On Approximating Discontinuous Solutions of PDEs by Adaptive Finite Elements
For singularly perturbed problems with a small diffusion, when the trans...
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06/27/2019
Adaptive First-Order System Least-Squares Finite Element Methods for Second Order Elliptic Equations in Non-Divergence Form
This paper studies adaptive first-order least-squares finite element met...
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05/15/2019
Time-Varying Downlink Channel Tracking for Quantized Massive MIMO Networks
This paper proposes a Bayesian downlink channel estimation algorithm for...
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05/07/2019
Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
On the time-varying channel estimation, the traditional downlink (DL) ch...
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04/24/2019
S^2-LBI: Stochastic Split Linearized Bregman Iterations for Parsimonious Deep Learning
This paper proposes a novel Stochastic Split Linearized Bregman Iteratio...
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12/05/2018
Differentially Private User-based Collaborative Filtering Recommendation Based on K-means Clustering
Collaborative filtering (CF) recommendation algorithms are well-known fo...
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10/19/2018
Probabilistic Matrix Factorization with Personalized Differential Privacy
Probabilistic matrix factorization (PMF) plays a crucial role in recomme...
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10/18/2018
Making Double Spectrum Auction Practical: Both Privacy and Efficiency Matter
Truthful spectrum auction is believed to be an effective method for spec...
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10/18/2018
Differentially Private Double Spectrum Auction with Approximate Social Welfare Maximization
Spectrum auction is an effective approach to improving spectrum utilizat...
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07/30/2018
Extreme Network Compression via Filter Group Approximation
In this paper we propose a novel decomposition method based on filter gr...
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10/05/2017