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05/21/2023
CNN-based Dendrite Core Detection from Microscopic Images of Directionally Solidified Ni-base Alloys
Dendrite core is the center point of the dendrite. The information of de...
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05/24/2022
Fine-grained Poisoning Attacks to Local Differential Privacy Protocols for Mean and Variance Estimation
Local differential privacy (LDP) protects individual data contributors a...
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08/31/2021
Unsupervised Open-Domain Question Answering
Open-domain Question Answering (ODQA) has achieved significant results i...
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03/05/2021
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation
Sequential recommender systems aim to model users' evolving interests fr...
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11/01/2020
Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack
Public intelligent services enabled by machine learning algorithms are v...
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10/20/2020
Transition path theory for Langevin dynamics on manifold: optimal control and data-driven solver
We present a data-driven point of view for the rare events, which repres...
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08/19/2020
Blur-Attention: A boosting mechanism for non-uniform blurred image restoration
Dynamic scene deblurring is a challenging problem in computer vision. It...
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06/28/2020
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image
Computed Tomography (CT) of the temporal bone has become an important me...
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03/06/2020
The Graph Limit of The Minimizer of The Onsager-Machlup Functional and Its Computation
The Onsager-Machlup (OM) functional is well-known for characterizing the...
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02/06/2020
Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism
Public intelligent services enabled by machine learning algorithms are v...
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01/26/2020
Dual Multi-head Co-attention for Multi-choice Reading Comprehension
Multi-choice Machine Reading Comprehension (MRC) requires model to decid...
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09/23/2019
A Phase Shift Deep Neural Network for High Frequency Wave Equations in Inhomogeneous Media
In this paper, we propose a phase shift deep neural network (PhaseDNN) w...
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08/31/2019
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
The pre-trained language models have achieved great successes in various...
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05/03/2019
