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02/23/2023
Patch Network for medical image Segmentation
Accurate and fast segmentation of medical images is clinically essential...
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02/21/2023
Non-pooling Network for medical image segmentation
Existing studies tend tofocus onmodel modifications and integration with...
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01/07/2022
GPU-Net: Lightweight U-Net with more diverse features
Image segmentation is an important task in the medical image field and m...
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11/24/2021
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
Spatial-temporal local binary pattern (STLBP) has been widely used in dy...
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04/02/2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI
Purpose: To develop a scan-specific model that estimates and corrects k-...
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10/09/2020
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
As a sequence-to-sequence generation task, neural machine translation (N...
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07/31/2020
On Learning Universal Representations Across Languages
Recent studies have demonstrated the overwhelming advantage of cross-lin...
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04/29/2020
Multiscale Collaborative Deep Models for Neural Machine Translation
Recent evidence reveals that Neural Machine Translation (NMT) models wit...
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04/05/2020
AR: Auto-Repair the Synthetic Data for Neural Machine Translation
Compared with only using limited authentic parallel data as training cor...
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02/24/2020
GRET: Global Representation Enhanced Transformer
Transformer, based on the encoder-decoder framework, has achieved state-...
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12/04/2019
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation
Pre-training and fine-tuning have achieved great success in the natural ...
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08/21/2019
Improving Neural Machine Translation with Pre-trained Representation
Monolingual data has been demonstrated to be helpful in improving the tr...
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06/23/2019
Sequence Generation: From Both Sides to the Middle
The encoder-decoder framework has achieved promising process for many se...
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04/19/2019
Code-Switching for Enhancing NMT with Pre-Specified Translation
Leveraging user-provided translation to constrain NMT has practical sign...
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10/20/2018
Improving Multilingual Semantic Textual Similarity with Shared Sentence Encoder for Low-resource Languages
Measuring the semantic similarity between two sentences (or Semantic Tex...
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06/15/2016
