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05/22/2023
Multilevel Control Functional
Control variates are variance reduction techniques for Monte Carlo estim...
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03/08/2023
Meta-learning Control Variates: Variance Reduction with Limited Data
Control variates can be a powerful tool to reduce the variance of Monte ...
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11/02/2022
Age of Information of Multi-user Mobile Edge Computing Systems
In this paper, we analyze the average age of information (AoI) and the a...
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08/04/2022
Equivalence between Time Series Predictability and Bayes Error Rate
Predictability is an emerging metric that quantifies the highest possibl...
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09/18/2021
Vector-Valued Control Variates
Control variates are post-processing tools for Monte Carlo estimators wh...
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09/13/2021
Whittle Index Based Scheduling Policy for Minimizing the Cost of Age of Information
We design a new scheduling policy to minimize the general non-decreasing...
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02/25/2021
Dual MINE-based Neural Secure Communications under Gaussian Wiretap Channel
Recently, some researches are devoted to the topic of end-to-end learnin...
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11/29/2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Few-shot learning for fine-grained image classification has gained recen...
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05/22/2020
A Concise Review of Recent Few-shot Meta-learning Methods
Few-shot meta-learning has been recently reviving with expectations to m...
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04/16/2020
Coverage Analysis for 3D Terahertz Communication Systems with Blockage and Directional Antennas
The scarcity of spectrum resources in current wireless communication sys...
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08/28/2019
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
Histopathology image analysis plays a critical role in cancer diagnosis ...
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06/10/2019