Jing Xiao

Melody Classification based on Performance Event Vector and BRNN

We proposed a model for the Conference of Music and Technology (CSMT2020...
10/15/2020 ∙ by Jinyue Guo, et al. ∙ 0 ∙ share

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FedSmart: An Auto Updating Federated Learning Optimization Mechanism

Federated learning has made an important contribution to data privacy-pr...
09/16/2020 ∙ by Anxun He, et al. ∙ 0 ∙ share

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Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT

Large-scale datasets with high-quality labels are desired for training a...
09/05/2020 ∙ by Ke Yan, et al. ∙ 9 ∙ share

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User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation

Mask-based annotation of medical images, especially for 3D data, is a bo...
09/05/2020 ∙ by Ashwin Raju, et al. ∙ 0 ∙ share

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Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression

Identifying, measuring and reporting lesions accurately and comprehensiv...
08/30/2020 ∙ by Jinzheng Cai, et al. ∙ 2 ∙ share

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Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Determining the spread of GTV_LN is essential in defining the respective...
08/29/2020 ∙ by Chun-Hung Chao, et al. ∙ 9 ∙ share

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Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy

Finding, identifying and segmenting suspicious cancer metastasized lymph...
08/27/2020 ∙ by Zhuotun Zhu, et al. ∙ 5 ∙ share

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DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer...
08/26/2020 ∙ by Jiawen Yao, et al. ∙ 12 ∙ share

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Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans

Accurate and automated tumor segmentation is highly desired since it has...
08/24/2020 ∙ by Ling Zhang, et al. ∙ 19 ∙ share

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A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection

In this paper, we propose a real-time robot-based auxiliary system for r...
08/18/2020 ∙ by Wenqi Wei, et al. ∙ 0 ∙ share

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Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification

State-of-the-art speaker verification models are based on deep learning ...
08/13/2020 ∙ by Xiaoyang Qu, et al. ∙ 0 ∙ share

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Large-scale Transfer Learning for Low-resource Spoken Language Understanding

End-to-end Spoken Language Understanding (SLU) models are made increasin...
08/13/2020 ∙ by Xueli Jia, et al. ∙ 0 ∙ share

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Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit

Recent neural speech synthesis systems have gradually focused on the con...
08/13/2020 ∙ by Zhen Zeng, et al. ∙ 0 ∙ share

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MLNET: An Adaptive Multiple Receptive-field Attention Neural Network for Voice Activity Detection

Voice activity detection (VAD) makes a distinction between speech and no...
08/13/2020 ∙ by Zhenpeng Zheng, et al. ∙ 0 ∙ share

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DREAM: A Dynamic Relational-Aware Model for Social Recommendation

Social connections play a vital role in improving the performance of rec...
08/11/2020 ∙ by Liqiang Song, et al. ∙ 0 ∙ share

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Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization

Ultrasound (US) is a critical modality for diagnosing liver fibrosis. Un...
08/07/2020 ∙ by Bowen Li, et al. ∙ 0 ∙ share

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UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks

The problem of session-based recommendation aims to predict user next ac...
08/06/2020 ∙ by Bo Huang, et al. ∙ 0 ∙ share

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A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users

Internet is changing the world, adapting to the trend of internet sales ...
07/30/2020 ∙ by Ye Bi, et al. ∙ 0 ∙ share

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DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain

Internet insurance products are apparently different from traditional e-...
07/27/2020 ∙ by Ye Bi, et al. ∙ 0 ∙ share

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One Click Lesion RECIST Measurement and Segmentation on CT Scans

In clinical trials, one of the radiologists' routine work is to measure ...
07/21/2020 ∙ by Youbao Tang, et al. ∙ 0 ∙ share

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E^2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans

Developing an effective liver and liver tumor segmentation model from CT...
07/19/2020 ∙ by Youbao Tang, et al. ∙ 0 ∙ share

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Learning to Segment Anatomical Structures Accurately from One Exemplar

Accurate segmentation of critical anatomical structures is at the core o...
07/06/2020 ∙ by Yuhang Lu, et al. ∙ 0 ∙ share

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Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images

Visual cues of enforcing bilaterally symmetric anatomies as normal findi...
07/03/2020 ∙ by Haomin Chen, et al. ∙ 0 ∙ share

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Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Effective and non-invasive radiological imaging based tumor/lesion chara...
06/28/2020 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets

Lesion detection is an important problem within medical imaging analysis...
05/28/2020 ∙ by Ke Yan, et al. ∙ 5 ∙ share

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Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification

Finding and identifying scatteredly-distributed, small, and critically i...
05/27/2020 ∙ by Zhuotun Zhu, et al. ∙ 4 ∙ share

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Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation

In medical imaging, organ/pathology segmentation models trained on curre...
05/27/2020 ∙ by Ashwin Raju, et al. ∙ 20 ∙ share

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Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search

OAR segmentation is a critical step in radiotherapy of head and neck (H ...
04/17/2020 ∙ by Dazhou Guo, et al. ∙ 6 ∙ share

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Structured Landmark Detection via Topology-Adapting Deep Graph Learning

Image landmark detection aims to automatically identify the locations of...
04/17/2020 ∙ by Weijian Li, et al. ∙ 0 ∙ share

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BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels

One-Shot methods have evolved into one of the most popular methods in Ne...
03/22/2020 ∙ by Zan Shen, et al. ∙ 0 ∙ share

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Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

Completing a corrupted image with correct structures and reasonable text...
03/15/2020 ∙ by Liang Liao, et al. ∙ 0 ∙ share

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A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder

Recently, the speaker clustering model based on aggregation hierarchy cl...
03/04/2020 ∙ by Chen Feng, et al. ∙ 0 ∙ share

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AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment

Targeting at both high efficiency and performance, we propose AlignTTS t...
03/04/2020 ∙ by Zhen Zeng, et al. ∙ 0 ∙ share

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GraphTTS: graph-to-sequence modelling in neural text-to-speech

This paper leverages the graph-to-sequence method in neural text-to-spee...
03/04/2020 ∙ by Aolan Sun, et al. ∙ 0 ∙ share

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Bone Suppression on Chest Radiographs With Adversarial Learning

Dual-energy (DE) chest radiography provides the capability of selectivel...
02/08/2020 ∙ by Jia Liang, et al. ∙ 0 ∙ share

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Weakly Supervised Lesion Co-segmentation on CT Scans

Lesion segmentation in medical imaging serves as an effective tool for a...
01/24/2020 ∙ by Vatsal Agarwal, et al. ∙ 18 ∙ share

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Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation

Lesion segmentation on computed tomography (CT) scans is an important st...
01/23/2020 ∙ by Vatsal Agarwal, et al. ∙ 8 ∙ share

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Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale

Acquiring large-scale medical image data, necessary for training machine...
01/21/2020 ∙ by Jinzheng Cai, et al. ∙ 3 ∙ share

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An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation

Owing to its unique literal and aesthetical characteristics, automatic g...
11/29/2019 ∙ by Liming Deng, et al. ∙ 0 ∙ share

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Domain-Aware No-Reference Image Quality Assessment

No-reference image quality assessment (NR-IQA) is a fundamental yet chal...
11/02/2019 ∙ by Weihao Xia, et al. ∙ 14 ∙ share

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MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization

In this paper, we present and discuss a deep mixture model with online k...
10/27/2019 ∙ by Rongcheng Lin, et al. ∙ 0 ∙ share

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CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

As the demand for more descriptive machine learning models grows within ...
09/05/2019 ∙ by Bo Zhou, et al. ∙ 0 ∙ share

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Weakly Supervised Universal Fracture Detection in Pelvic X-rays

Hip and pelvic fractures are serious injuries with life-threatening comp...
09/04/2019 ∙ by Yirui Wang, et al. ∙ 0 ∙ share

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Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk

Clinical target volume (CTV) delineation from radiotherapy computed tomo...
09/04/2019 ∙ by Dakai Jin, et al. ∙ 0 ∙ share

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Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion

Gross tumor volume (GTV) segmentation is a critical step in esophageal c...
09/04/2019 ∙ by Dakai Jin, et al. ∙ 0 ∙ share

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TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays

In this work, we exploit the unsupervised domain adaptation problem for ...
08/21/2019 ∙ by Yuxing Tang, et al. ∙ 0 ∙ share

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Audio-Based Music Classification with DenseNet And Data Augmentation

In recent years, deep learning technique has received intense attention ...
06/15/2019 ∙ by Wenhao Bian, et al. ∙ 0 ∙ share

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A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics

This paper presents a novel, syllable-structured Chinese lyrics generati...
06/15/2019 ∙ by Xu Lu, et al. ∙ 0 ∙ share

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A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation

In this paper, we comprehensively study on context-aware generation of C...
06/15/2019 ∙ by Haoshen Fan, et al. ∙ 0 ∙ share

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Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines

As one of the quintessence of Chinese traditional culture, couplet compr...
06/15/2019 ∙ by Haoshen Fan, et al. ∙ 0 ∙ share

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Jing Xiao

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