b'Lin Yang'

The DKU-Duke-Lenovo System Description for the Third DIHARD Speech Diarization Challenge

In this paper, we present the submitted system for the third DIHARD Spee...
02/06/2021 ∙ by Weiqing Wang, et al. ∙ 0 ∙ share

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Denoising Single Voxel Magnetic Resonance Spectroscopy with Deep Learning on Repeatedly Sampled In Vivo Data

Objective: Magnetic Resonance Spectroscopy (MRS) is a noninvasive tool t...
01/26/2021 ∙ by Wanqi Hu, et al. ∙ 17 ∙ share

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Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation

Automatic histopathology image segmentation is crucial to disease analys...
12/17/2020 ∙ by Hongxiao Wang, et al. ∙ 12 ∙ share

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Exploring Voice Conversion based Data Augmentation in Text-Dependent Speaker Verification

In this paper, we focus on improving the performance of the text-depende...
11/21/2020 ∙ by Xiaoyi Qin, et al. ∙ 0 ∙ share

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Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling

This paper introduces our approaches for the Mask and Breathing Sub-Chal...
08/12/2020 ∙ by Haiwei Wu, et al. ∙ 0 ∙ share

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Nearly Linear Row Sampling Algorithm for Quantile Regression

We give a row sampling algorithm for the quantile loss function with sam...
06/15/2020 ∙ by Yi Li, et al. ∙ 0 ∙ share

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Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection

In this paper, we propose a deep convolutional neural network-based acou...
05/24/2020 ∙ by Murong Ma, et al. ∙ 0 ∙ share

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IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report

This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...
04/26/2020 ∙ by Qi She, et al. ∙ 30 ∙ share

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DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team

In this paper, we present the submitted system for the second DIHARD Spe...
02/23/2020 ∙ by Qingjian Lin, et al. ∙ 10 ∙ share

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Deep Reinforcement Learning with Linear Quadratic Regulator Regions

Practitioners often rely on compute-intensive domain randomization to en...
02/23/2020 ∙ by Gabriel I. Fernandez, et al. ∙ 5 ∙ share

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Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device

Recent years NLP research has witnessed the record-breaking accuracy imp...
01/28/2020 ∙ by Baohua Sun, et al. ∙ 0 ∙ 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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End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Automatic segmentation of abdomen organs using medical imaging has many ...
10/15/2019 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications

Power-efficient CNN Domain Specific Accelerator (CNN-DSA) chips are curr...
06/04/2019 ∙ by Baohua Sun, et al. ∙ 0 ∙ share

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SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding

Language and vision are processed as two different modal in current work...
05/25/2019 ∙ by Baohua Sun, et al. ∙ 0 ∙ share

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2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for Image Retrieval

Image retrieval utilizes image descriptors to retrieve the most similar ...
05/08/2019 ∙ by Bin Yang, et al. ∙ 0 ∙ share

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SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models

The recent work of Super Characters method using two-dimensional word em...
05/07/2019 ∙ by Baohua Sun, et al. ∙ 0 ∙ share

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SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

Supervised training a deep neural network aims to "teach" the network to...
02/28/2019 ∙ by Yizhe Zhang, et al. ∙ 0 ∙ share

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Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition

The goal of MRI reconstruction is to restore a high fidelity image from ...
02/08/2019 ∙ by Zizhao Zhang, et al. ∙ 0 ∙ share

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Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis

The Super Characters method addresses sentiment analysis problems by fir...
01/24/2019 ∙ by Baohua Sun, et al. ∙ 0 ∙ share

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Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation

The Encoder-Decoder architecture is a main stream deep learning model fo...
01/15/2019 ∙ by Peixian Liang, et al. ∙ 0 ∙ share

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Online Inventory Management with Application to Energy Procurement in Data Centers

Motivated by the application of energy storage management in electricity...
01/14/2019 ∙ by Lin Yang, et al. ∙ 0 ∙ share

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A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

3D image segmentation plays an important role in biomedical image analys...
12/10/2018 ∙ by Hao Zheng, et al. ∙ 0 ∙ share

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A Scalable Optimization Mechanism for Pairwise based Discrete Hashing

Maintaining the pair similarity relationship among originally high-dimen...
11/27/2018 ∙ by Xiaoshuang Shi, et al. ∙ 0 ∙ share

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Super Characters: A Conversion from Sentiment Classification to Image Classification

We propose a method named Super Characters for sentiment classification....
10/15/2018 ∙ by Baohua Sun, et al. ∙ 0 ∙ share

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ConvPath: A Software Tool for Lung Adenocarcinoma Digital Pathological Image Analysis Aided by Convolutional Neural Network

The spatial distributions of different types of cells could reveal a can...
09/20/2018 ∙ by Shidan Wang, et al. ∙ 0 ∙ share

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CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement

Automated lesion segmentation from computed tomography (CT) is an import...
07/18/2018 ∙ by Youbao Tang, et al. ∙ 0 ∙ share

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Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays

Given image labels as the only supervisory signal, we focus on harvestin...
07/03/2018 ∙ by Jinzheng Cai, et al. ∙ 4 ∙ share

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Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST

Volumetric lesion segmentation from computed tomography (CT) images is a...
07/02/2018 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation

Instance segmentation in 3D images is a fundamental task in biomedical i...
06/28/2018 ∙ by Zhuo Zhao, et al. ∙ 0 ∙ share

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BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation

In recent years, deep learning (DL) methods have become powerful tools f...
06/02/2018 ∙ by Lin Yang, et al. ∙ 0 ∙ share

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Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications

Computer vision performances have been significantly improved in recent ...
04/30/2018 ∙ by Baohua Sun, et al. ∙ 0 ∙ share

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Resonance-based Secure Pairing for Wearables

Securely pairing wearables with another device is the key to many promis...
04/27/2018 ∙ by Wei Wang, et al. ∙ 0 ∙ share

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Configurations and Diagnosis for Ultra-Dense Heterogeneous Networks: From Empirical Measurements to Technical Solutions

The intense demands for higher data rates and ubiquitous network coverag...
04/27/2018 ∙ by Wei Wang, et al. ∙ 0 ∙ share

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Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning

Automatic pancreas segmentation in radiology images, eg., computed tomog...
03/30/2018 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation

With pervasive applications of medical imaging in health-care, biomedica...
03/13/2018 ∙ by Xiaowei Xu, et al. ∙ 0 ∙ share

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Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization

Stochastic optimization naturally arises in machine learning. Efficient ...
03/06/2018 ∙ by Minshuo Chen, et al. ∙ 0 ∙ share

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Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network

Synthesized medical images have several important applications, e.g., as...
02/27/2018 ∙ by Zizhao Zhang, et al. ∙ 0 ∙ share

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Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network

This paper presents a novel method to deal with the challenging task of ...
02/26/2018 ∙ by Zizhao Zhang, et al. ∙ 0 ∙ share

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A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs

Wing disc pouches of fruit flies are a powerful genetic model for studyi...
02/01/2018 ∙ by Peixian Liang, et al. ∙ 0 ∙ share

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Securing On-Body IoT Devices By Exploiting Creeping Wave Propagation

On-body devices are an intrinsic part of the Internet-of-Things (IoT) vi...
01/28/2018 ∙ by Wei Wang, et al. ∙ 0 ∙ share

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Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST

Volumetric lesion segmentation via medical imaging is a powerful means t...
01/25/2018 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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Wi-Fi Teeter-Totter: Overclocking OFDM for Internet of Things

The conventional high-speed Wi-Fi has recently become a contender for lo...
01/09/2018 ∙ by Wei Wang, et al. ∙ 0 ∙ share

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Uncertainty measurement with belief entropy on interference effect in Quantum-Like Bayesian Networks

Social dilemmas have been regarded as the essence of evolution game theo...
09/08/2017 ∙ by Zhiming Huang, et al. ∙ 0 ∙ share

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Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection

The fast growing deep learning technologies have become the main solutio...
08/24/2017 ∙ by Zizhao Zhang, et al. ∙ 0 ∙ share

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TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References

In this paper, we introduce the semantic knowledge of medical images fro...
08/10/2017 ∙ by Zizhao Zhang, et al. ∙ 0 ∙ share

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Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

Deep neural networks have demonstrated very promising performance on acc...
07/16/2017 ∙ by Jinzheng Cai, et al. ∙ 0 ∙ share

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MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

The inability to interpret the model prediction in semantically and visu...
07/08/2017 ∙ by Zizhao Zhang, et al. ∙ 0 ∙ share

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Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

Image segmentation is a fundamental problem in biomedical image analysis...
06/15/2017 ∙ by Lin Yang, et al. ∙ 0 ∙ share

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Microscopic Muscle Image Enhancement

We propose a robust image enhancement algorithm dedicated for muscle fib...
12/17/2016 ∙ by Xiangfei Kong, et al. ∙ 0 ∙ share

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Lin Yang

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