
Accelerating Multigridbased Hierarchical Scientific Data Refactoring on GPUs
Rapid growth in scientific data and a widening gap between computational...
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Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
Computer vision systems in realworld applications need to be robust to ...
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Intersequence Enhanced Framework for Personalized Sequential Recommendation
Modeling the sequential correlation of users' historical interactions is...
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Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Recent work has shown that deep convolutional neural networks (DCNNs) do...
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Adversarial Attack on DLbased Massive MIMO CSI Feedback
With the increasing application of deep learning (DL) algorithms in wire...
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Incremental Learning for MetricBased MetaLearners
Majority of the modern metalearning methods for fewshot classification...
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Localizing Occluders with Compositional Convolutional Networks
Compositional convolutional networks are generative compositional models...
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A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation
Segmentation of optic disc (OD) and optic cup (OC) is critical in automa...
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Dualattention Focused Module for Weakly Supervised Object Localization
The research on recognizing the most discriminative regions provides ref...
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Compositional Convolutional Networks For Robust Object Classification under Occlusion
Deep convolutional neural networks (DCNNs) are powerful models that yiel...
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Landmark Proportional Subdistribution Hazards Models for Dynamic Prediction of Cumulative Incidence Functions
An individualized risk prediction model that dynamically updates the pro...
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DDNet: Cartesianpolar Dualdomain Network for the Joint Optic Disc and Cup Segmentation
Existing joint optic disc and cup segmentation approaches are developed ...
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SemanticAware Knowledge Preservation for ZeroShot SketchBased Image Retrieval
Sketchbased image retrieval (SBIR) is widely recognized as an important...
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Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize
Building open domain conversational systems that allow users to have eng...
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Anisotropic functional deconvolution with longmemory noise: the case of a multiparameter fractional Wiener sheet
We look into the minimax results for the anisotropic twodimensional fun...
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An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets
In a crowdsourcing market, a requester is looking to form a team of work...
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Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints from Limited Training Data
Detecting semantic parts of an object is a challenging task in computer ...
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Minimax adaptive wavelet estimator for the anisotropic functional deconvolution model with unknown kernel
In the present paper, we consider the estimation of a periodic twodimen...
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Bahadur representations for the bootstrap median absolute deviation and the application to projection depth weighted mean
Median absolute deviation (hereafter MAD) is known as a robust alternati...
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Limit theory for an AR(1) model with intercept and a possible infinite variance
In this paper, we derive the limit distribution of the least squares est...
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Conversational AI: The Science Behind the Alexa Prize
Conversational agents are exploding in popularity. However, much work re...
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Unleashing the Potential of CNNs for Interpretable FewShot Learning
Convolutional neural networks (CNNs) have been generally acknowledged as...
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Qing Liu
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