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08/07/2022
Terahertz-Band Channel and Beam Split Estimation via Array Perturbation Model
For the demonstration of ultra-wideband bandwidth and pencil-beamforming...
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07/13/2022
Federated Learning for THz Channel Estimation
This paper addresses two major challenges in terahertz (THz) channel est...
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07/13/2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
Analog/mixed-signal circuit design is one of the most complex and time-c...
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06/24/2022
Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networks
With the deployment of the fifth generation (5G) wireless systems gather...
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05/06/2022
Intelligent Reflection Enabling Technologies for Integrated and Green Internet-of-Everything Beyond 5G: Communication, Sensing, and Security
Internet-of-Everything (IoE) has gradually been recognized as an integra...
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04/27/2022
Supervised Contrastive CSI Representation Learning for Massive MIMO Positioning
Similarity metric is crucial for massive MIMO positioning utilizing chan...
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03/16/2022
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning
The ability to recognize analogies is fundamental to human cognition. Ex...
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12/05/2021
Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
Occluded person re-identification is a challenging task as human body pa...
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11/26/2021
Semi-supervised t-SNE for Millimeter-wave Wireless Localization
We consider the mobile localization problem in future millimeter-wave wi...
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08/25/2021
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images
Deep learning models have shown their superior performance in various vi...
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05/12/2021
Silicon Photonics in Optical Access Networks for 5G Communications
Only radio access networks can provide connectivity across multiple ante...
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02/19/2021
Obfuscation of Images via Differential Privacy: From Facial Images to General Images
Due to the pervasiveness of image capturing devices in every-day life, i...
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02/12/2020
Joint Embedding in Named Entity Linking on Sentence Level
Named entity linking is to map an ambiguous mention in documents to an e...
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11/01/2019
Differential Privacy Via a Truncated and Normalized Laplace Mechanism
When querying databases containing sensitive information, the privacy of...
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07/06/2019
Bayesian Nonparametric Nonhomogeneous Poisson Process with Applications to USGS Earthquake Data
Intensity estimation is a common problem in statistical analysis of spat...
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02/12/2019
Real Time Lateral Movement Detection based on Evidence Reasoning Network for Edge Computing Environment
Edge computing is providing higher class intelligent service and computi...
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01/02/2019
Coverage Protocols for Wireless Sensor Networks: Review and Future Directions
The coverage problem in wireless sensor networks (WSNs) can be generally...
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11/05/2018
Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification
Implicit discourse relation classification is one of the most difficult ...
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10/15/2018
Push-Pull Gradient Methods for Distributed Optimization in Networks
In this paper, we focus on solving a distributed convex optimization pro...
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08/30/2018
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification
Implicit discourse relation classification is one of the most challengin...
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05/31/2018
On Curvature-aided Incremental Aggregated Gradient Methods
This paper studies an acceleration technique for incremental aggregated ...
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03/20/2018
A Push-Pull Gradient Method for Distributed Optimization in Networks
In this paper, we focus on solving a distributed convex optimization pro...
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10/24/2017
Curvature-aided Incremental Aggregated Gradient Method
We propose a new algorithm for finite sum optimization which we call the...
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06/16/2017
Improved Convergence Rates for Distributed Resource Allocation
In this paper, we develop a class of decentralized algorithms for solvin...
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04/25/2017
A decentralized proximal-gradient method with network independent step-sizes and separated convergence rates
This paper considers the problem of decentralized optimization with a co...
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09/19/2016
Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes
A recent algorithmic family for distributed optimization, DIGing's, have...
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05/26/2015