b'Lin Yang'

research

∙ 05/05/2022

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

While achieving remarkable success for medical image segmentation, deep ...

Yuxin Kang, et al. ∙

research

∙ 03/29/2022

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Synthesizing a subject-specific pathology-free image from a pathological...

Yunlong Zhang, et al. ∙

research

∙ 03/19/2022

Mechanism, measurement, and quantification of stress in decision process: a model based systematic-review protocol

Every human action begins with decision-making. Stress is a significant ...

Chang Su, et al. ∙

research

∙ 02/27/2022

Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images

Cell classification and counting in immunohistochemical cytoplasm staini...

Shichuan Zhang, et al. ∙

research

∙ 01/23/2022

Distributed Bandits with Heterogeneous Agents

This paper tackles a multi-agent bandit setting where M agents cooperate...

Lin Yang, et al. ∙

research

∙ 12/31/2021

Modelling matrix time series via a tensor CP-decomposition

We propose to model matrix time series based on a tensor CP-decompositio...

Jinyuan Chang, et al. ∙

research

∙ 12/22/2021

Hybrid Curriculum Learning for Emotion Recognition in Conversation

Emotion recognition in conversation (ERC) aims to detect the emotion lab...

Lin Yang, et al. ∙

research

∙ 11/27/2021

Online Speaker Diarization with Graph-based Label Generation

This paper introduces an online speaker diarization system that can hand...

Yucong Zhang, et al. ∙

research

∙ 10/09/2021

Towards Lightweight Applications: Asymmetric Enroll-Verify Structure for Speaker Verification

With the development of deep learning, automatic speaker verification ha...

Qingjian Lin, et al. ∙

research

∙ 09/05/2021

The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge

This report describes the submission of the DKU-DukeECE-Lenovo team to t...

Weiqing Wang, et al. ∙

research

∙ 08/24/2021

Image-based Insider Threat Detection via Geometric Transformation

Insider threat detection has been a challenging task over decades, exist...

Dongyang Li, et al. ∙

research

∙ 08/20/2021

A Quantitative Framework for Network Resilience Evaluation using Dynamic Bayesian Network

Measuring and evaluating network resilience has become an important aspe...

Shanqing Jiang, et al. ∙

research

∙ 07/10/2021

Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

A large labeled dataset is a key to the success of supervised deep learn...

Hao Zheng, et al. ∙

research

∙ 07/06/2021

Generalizing Nucleus Recognition Model in Multi-source Images via Pruning

Ki67 is a significant biomarker in the diagnosis and prognosis of cancer...

Jiatong Cai, et al. ∙

research

∙ 06/28/2021

Sparsely Overlapped Speech Training in the Time Domain: Joint Learning of Target Speech Separation and Personal VAD Benefits

Target speech separation is the process of filtering a certain speaker's...

Qingjian Lin, et al. ∙

research

∙ 06/07/2021

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

We introduce a method based on deep metric learning to perform Bayesian ...

Antoine Grosnit, et al. ∙

research

∙ 04/29/2021

A comparative study of neural network techniques for automatic software vulnerability detection

Software vulnerabilities are usually caused by design flaws or implement...

Gaigai Tang, et al. ∙

research

∙ 04/12/2021

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Deep learning recommendation models (DLRMs) are used across many busines...

Dheevatsa Mudigere, et al. ∙

research

∙ 04/04/2021

TransfoRNN: Capturing the Sequential Information in Self-Attention Representations for Language Modeling

In this paper, we describe the use of recurrent neural networks to captu...

Tze Yuang Chong, et al. ∙

research

∙ 02/06/2021

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...

Weiqing Wang, et al. ∙

research

∙ 01/26/2021

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...

Wanqi Hu, et al. ∙

research

∙ 12/17/2020

Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation

Automatic histopathology image segmentation is crucial to disease analys...

Hongxiao Wang, et al. ∙

research

∙ 11/21/2020

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

In this paper, we focus on improving the performance of the text-depende...

Xiaoyi Qin, et al. ∙

research

∙ 08/12/2020

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...

Haiwei Wu, et al. ∙

research

∙ 06/15/2020

Nearly Linear Row Sampling Algorithm for Quantile Regression

We give a row sampling algorithm for the quantile loss function with sam...

Yi Li, et al. ∙

research

∙ 05/24/2020

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...

Murong Ma, et al. ∙

research

∙ 04/26/2020

IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report

This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...

Qi She, et al. ∙

research

∙ 02/23/2020

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...

Qingjian Lin, et al. ∙

research

∙ 02/23/2020

Deep Reinforcement Learning with Linear Quadratic Regulator Regions

Practitioners often rely on compute-intensive domain randomization to en...

Gabriel I. Fernandez, et al. ∙

research

∙ 01/28/2020

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...

Baohua Sun, et al. ∙

research

∙ 01/21/2020

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

Acquiring large-scale medical image data, necessary for training machine...

Jinzheng Cai, et al. ∙

research

∙ 10/15/2019

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation

Automatic segmentation of abdomen organs using medical imaging has many ...

Jinzheng Cai, et al. ∙

research

∙ 06/04/2019

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...

Baohua Sun, et al. ∙

research

∙ 05/25/2019

SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding

Language and vision are processed as two different modal in current work...

Baohua Sun, et al. ∙

research

∙ 05/08/2019

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 ...

Bin Yang, et al. ∙

research

∙ 05/07/2019

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...

Baohua Sun, et al. ∙

research

∙ 02/28/2019

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation

Supervised training a deep neural network aims to "teach" the network to...

Yizhe Zhang, et al. ∙

research

∙ 02/08/2019

Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition

The goal of MRI reconstruction is to restore a high fidelity image from ...

Zizhao Zhang, et al. ∙

research

∙ 01/24/2019

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...

Baohua Sun, et al. ∙

research

∙ 01/15/2019

Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation

The Encoder-Decoder architecture is a main stream deep learning model fo...

Peixian Liang, et al. ∙

research

∙ 01/14/2019

Online Inventory Management with Application to Energy Procurement in Data Centers

Motivated by the application of energy storage management in electricity...

Lin Yang, et al. ∙

research

∙ 12/10/2018

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

3D image segmentation plays an important role in biomedical image analys...

Hao Zheng, et al. ∙

research

∙ 11/27/2018

A Scalable Optimization Mechanism for Pairwise based Discrete Hashing

Maintaining the pair similarity relationship among originally high-dimen...

Xiaoshuang Shi, et al. ∙

research

∙ 10/15/2018

Super Characters: A Conversion from Sentiment Classification to Image Classification

We propose a method named Super Characters for sentiment classification....

Baohua Sun, et al. ∙

research

∙ 09/20/2018

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...

Shidan Wang, et al. ∙

research

∙ 07/18/2018

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...

Youbao Tang, et al. ∙

research

∙ 07/03/2018

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...

Jinzheng Cai, et al. ∙

research

∙ 07/02/2018

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...

Jinzheng Cai, et al. ∙

research

∙ 06/28/2018

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

Instance segmentation in 3D images is a fundamental task in biomedical i...

Zhuo Zhao, et al. ∙

research

∙ 06/02/2018

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

In recent years, deep learning (DL) methods have become powerful tools f...

Lin Yang, et al. ∙

Lin Yang

Featured Co-authors