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06/03/2023
Exploring Global and Local Information for Anomaly Detection with Normal Samples
Anomaly detection aims to detect data that do not conform to regular pat...
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05/30/2023
Blind Beamforming for Intelligent Reflecting Surface in Fading Channels without CSI
This paper discusses how to optimize the phase shifts of intelligent ref...
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05/19/2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction
In this paper, we investigate the challenge of spatio-temporal video pre...
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04/19/2023
Cooperative Multi-Cell Massive Access with Temporally Correlated Activity
This paper investigates the problem of activity detection and channel es...
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04/03/2023
FMGNN: Fused Manifold Graph Neural Network
Graph representation learning has been widely studied and demonstrated e...
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02/20/2023
Coordinating Multiple Intelligent Reflecting Surfaces without Channel Information
Conventional beamforming methods for intelligent reflecting surfaces (IR...
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07/06/2022
Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization
In this paper, we show that the difference in Euclidean norm of samples ...
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06/28/2022
Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach
One of the main focuses in distributed learning is communication efficie...
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06/24/2022
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
Proteins are essential component of human life and their structures are ...
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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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08/19/2019
Heterogeneous Coded Distributed Computing: Joint Design of File Allocation and Function Assignment
This paper studies the computation-communication tradeoff in a heterogen...
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04/16/2019
Content Caching and Delivery in Wireless Radio Access Networks
Today's mobile data traffic is dominated by content-oriented traffic. Ca...
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05/20/2018
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy
Super-resolution fluorescence microscopy, with a resolution beyond the d...
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05/09/2018
Fundamental Limits of Decentralized Caching in Fog-RANs with Wireless Fronthaul
This paper aims to characterize the synergy of distributed caching and w...
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04/14/2017
An entity-driven recursive neural network model for chinese discourse coherence modeling
Chinese discourse coherence modeling remains a challenge taskin Natural ...
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01/08/2017