b'Lin Yang'

research

∙ 05/24/2023

PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology

As advances in large language models (LLMs) and multimodal techniques co...

7 Yuxuan Sun, et al. ∙

research

∙ 04/25/2023

MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis

Coronavirus disease 2019 (COVID-19) has spread all over the world for th...

1 Lin Yang, et al. ∙

research

∙ 03/15/2023

Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification

While Multiple Instance Learning (MIL) has shown promising results in di...

13 Honglin Li, et al. ∙

research

∙ 03/05/2023

Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision

Point-based cell recognition, which aims to localize and classify cells ...

4 Zhongyi Shui, et al. ∙

research

∙ 02/15/2023

On-Demand Communication for Asynchronous Multi-Agent Bandits

This paper studies a cooperative multi-agent multi-armed stochastic band...

0 Yu-Zhen Janice Chen, et al. ∙

research

∙ 01/01/2023

Semantic Data Sourcing for 6G Edge Intelligence

As a new function of 6G networks, edge intelligence refers to the ubiqui...

0 Kaibin Huang, et al. ∙

research

∙ 12/25/2022

3-D Markerless Tracking of Human Gait by Geometric Trilateration of Multiple Kinects

In this paper, we develop an integrated markerless gait tracking system ...

0 Lin Yang, et al. ∙

research

∙ 12/25/2022

Evaluating and Improving the Depth Accuracy of Kinect for Windows v2

Microsoft Kinect sensor has been widely used in many applications since ...

0 Lin Yang, et al. ∙

research

∙ 11/22/2022

The weak Galerkin finite element method for Stokes interface problems with curved interface

In this paper, we develop a new weak Galerkin finite element scheme for ...

0 Lin Yang, et al. ∙

research

∙ 11/04/2022

GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff

Deep learning technology has made great progress in multi-view 3D recons...

4 Zhenwei Zhu, et al. ∙

research

∙ 10/14/2022

Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images

The success of supervised deep learning models in medical image segmenta...

4 Pingyi Chen, et al. ∙

research

∙ 10/14/2022

LeVoice ASR Systems for the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge

This paper describes LeVoice automatic speech recognition systems to tra...

0 Yan Jia, et al. ∙

research

∙ 10/05/2022

TC-SKNet with GridMask for Low-complexity Classification of Acoustic scene

Convolution neural networks (CNNs) have good performance in low-complexi...

1 Luyuan Xie, et al. ∙

research

∙ 09/24/2022

From Local to Global: Spectral-Inspired Graph Neural Networks

Graph Neural Networks (GNNs) are powerful deep learning methods for Non-...

16 Ningyuan Huang, et al. ∙

research

∙ 09/24/2022

The Online Knapsack Problem with Departures

The online knapsack problem is a classic online resource allocation prob...

0 Bo Sun, et al. ∙

research

∙ 07/24/2022

Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery

In urban environments, the complex and uncertain intersection scenarios ...

5 Xianqi He, et al. ∙

research

∙ 07/01/2022

Constraining Model Uncertainty in Plasma Equation-of-State Models with a Physics-Constrained Gaussian Process

Equation-of-state (EOS) models underpin numerical simulations at the cor...

0 Jim A. Gaffney, et al. ∙

research

∙ 07/01/2022

End-to-end cell recognition by point annotation

Reliable quantitative analysis of immunohistochemical staining images re...

11 Zhongyi Shui, et al. ∙

research

∙ 07/01/2022

ChrSNet: Chromosome Straightening using Self-attention Guided Networks

Karyotyping is an important procedure to assess the possible existence o...

10 Sunyi Zheng, et al. ∙

research

∙ 06/30/2022

Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology

When designing a diagnostic model for a clinical application, it is cruc...

35 Yunlong Zhang, et al. ∙

research

∙ 06/11/2022

Model-based Offline Imitation Learning with Non-expert Data

Although Behavioral Cloning (BC) in theory suffers compounding errors, i...

2 Jeongwon Park, et al. ∙

research

∙ 05/05/2022

Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation

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

5 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...

9 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 ...

0 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...

5 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...

5 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...

7 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...

11 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...

0 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...

0 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...

0 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...

0 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...

0 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...

10 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...

10 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...

1 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 ...

37 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...

10 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...

32 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...

16 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...

0 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...

17 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...

12 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...

0 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...

0 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...

0 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...

0 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...

30 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...

10 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...

5 Gabriel I. Fernandez, et al. ∙

Lin Yang

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