b'Bo Wang'

Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images

Onfocus detection aims at identifying whether the focus of the individua...
03/29/2021 ∙ by Dingwen Zhang, et al. ∙ 0 ∙ share

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Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches

A rapid decline in mortality and fertility has become major issues in ma...
02/18/2021 ∙ by Ka Kin Lam, et al. ∙ 0 ∙ share

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Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches

Human mortality patterns and trajectories in closely related populations...
02/18/2021 ∙ by Ka Kin Lam, et al. ∙ 0 ∙ share

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Modelling Paralinguistic Properties in Conversational Speech to Detect Bipolar Disorder and Borderline Personality Disorder

Bipolar disorder (BD) and borderline personality disorder (BPD) are two ...
02/18/2021 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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A Linearized Learning with Multiscale Deep Neural Network for Stationary Navier-Stokes Equations with Oscillatory Solutions

In this paper, we combine a linearized iterative method with multi-scale...
02/05/2021 ∙ by Lizuo Liu, et al. ∙ 0 ∙ share

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Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection

The explosive growth of fake news along with destructive effects on poli...
01/27/2021 ∙ by Yuxiang Ren, et al. ∙ 0 ∙ share

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Reinforcement Learning under Model Risk for Biomanufacturing Fermentation Control

In the biopharmaceutical manufacturing, fermentation process plays a cri...
01/11/2021 ∙ by Bo Wang, et al. ∙ 22 ∙ share

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Multi-Scale Networks for 3D Human Pose Estimation with Inference Stage Optimization

Estimating 3D human poses from a monocular video is still a challenging ...
10/13/2020 ∙ by Cheng Yu, et al. ∙ 4 ∙ share

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Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder

Relying on large pretrained language models such as Bidirectional Encode...
10/10/2020 ∙ by John Pougue Biyong, et al. ∙ 0 ∙ share

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Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version)

Incremental processing is widely-adopted in many applications, ranging f...
09/28/2020 ∙ by Zuozhi Wang, et al. ∙ 0 ∙ share

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Multi-scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains

In this paper, we study a multi-scale deep neural network (MscaleDNN) as...
09/27/2020 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews

Bipolar disorder (BD) and borderline personality disorder (BPD) are both...
08/08/2020 ∙ by Bo Wang, et al. ∙ 1 ∙ share

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A Matrix Basis Formulation For The Green's Functions Of Maxwell's Equations And The Elastic Wave Equations In Layered Media

A matrix basis formulation is introduced to represent the 3 x 3 dyadic G...
08/03/2020 ∙ by Wenzhong Zhang, et al. ∙ 0 ∙ share

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Exponential convergence for multipole and local expansions and their translations for sources in layered media: three-dimensional Laplace equation

In this paper, we prove the exponential convergence of the multipole and...
08/02/2020 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management

With the passage of the 2018 U.S. Farm Bill, Industrial Hemp production ...
06/19/2020 ∙ by Keqi Wang, et al. ∙ 0 ∙ share

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DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

We present DeCLUTR: Deep Contrastive Learning for Unsupervised Textual R...
06/05/2020 ∙ by John M. Giorgi, et al. ∙ 0 ∙ share

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On time-domain NRBC for Maxwell's equations and its application in accurate simulation of electromagnetic invisibility cloaks

In this paper, we present analytic formulas of the temporal convolution ...
05/28/2020 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Semantic Triple Encoder for Fast Open-Set Link Prediction

We improve both the open-set generalization and efficiency of link predi...
04/30/2020 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution

A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
04/23/2020 ∙ by Qingsen Yan, et al. ∙ 15 ∙ share

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A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box

Currently, reliable and accurate ship detection in optical remote sensin...
04/15/2020 ∙ by Linhao Li, et al. ∙ 5 ∙ share

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The importance of transparency and reproducibility in artificial intelligence research

In their study, McKinney et al. showed the high potential of artificial ...
02/28/2020 ∙ by Benjamin Haibe-Kains, et al. ∙ 0 ∙ share

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Fast Multipole Method for 3-D Linearized Poisson-Boltzmann Equation in Layered Media

In this paper, we propose a fast multipole method (FMM) for 3-D lineariz...
02/03/2020 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation

Medical image segmentation is a difficult but important task for many cl...
01/21/2020 ∙ by Jesse Sun, et al. ∙ 69 ∙ share

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Learning Global and Local Consistent Representations for Unsupervised Image Retrieval via Deep Graph Diffusion Networks

Diffusion has shown great success in improving accuracy of unsupervised ...
01/05/2020 ∙ by Zhiyong Dou, et al. ∙ 53 ∙ share

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Diversity Transfer Network for Few-Shot Learning

Few-shot learning is a challenging task that aims at training a classifi...
12/31/2019 ∙ by Mengting Chen, et al. ∙ 12 ∙ share

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End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models

Named entity recognition (NER) and relation extraction (RE) are two impo...
12/20/2019 ∙ by John Giorgi, et al. ∙ 0 ∙ share

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Shenjing: A low power reconfigurable neuromorphic accelerator with partial-sum and spike networks-on-chip

The next wave of on-device AI will likely require energy-efficient deep ...
11/25/2019 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Progressive Feature Polishing Network for Salient Object Detection

Feature matters for salient object detection. Existing methods mainly fo...
11/14/2019 ∙ by Bo Wang, et al. ∙ 22 ∙ share

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A Pooled Quantile Estimator for Parallel Simulations

Quantile is an important risk measure quantifying the stochastic system ...
10/13/2019 ∙ by Qiong Zhang, et al. ∙ 0 ∙ share

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s-LWSR: Super Lightweight Super-Resolution Network

Deep learning (DL) architectures for superresolution (SR) normally conta...
09/24/2019 ∙ by biao Li, et al. ∙ 39 ∙ share

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Learning from Label Proportions with Generative Adversarial Networks

In this paper, we leverage generative adversarial networks (GANs) to der...
09/05/2019 ∙ by Jiabin Liu, et al. ∙ 0 ∙ share

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An Efficient Iterative Method for Solving Multiple Scattering in Locally Inhomogeneous Media

In this paper, an efficient iterative method is proposed for solving mul...
08/28/2019 ∙ by Ziqing Xie, et al. ∙ 0 ∙ share

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Fast multipole method for 3-D Laplace equation in layered media

In this paper, a fast multipole method (FMM) is proposed for 3-D Laplace...
08/27/2019 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Deep Differentiable Random Forests for Age Estimation

Age estimation from facial images is typically cast as a label distribut...
07/23/2019 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Can We Derive Explicit and Implicit Bias from Corpus?

Language is a popular resource to mine speakers' attitude bias, supposin...
05/31/2019 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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New insights on Multi-Solution Distribution of the P3P Problem

Traditionally, the P3P problem is solved by firstly transforming its 3 q...
01/30/2019 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem

It is well known that the P3P problem could have 1, 2, 3 and at most 4 p...
01/29/2019 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Moment Matching for Multi-Source Domain Adaptation

Conventional unsupervised domain adaptation (UDA) assumes that training ...
12/04/2018 ∙ by Xingchao Peng, et al. ∙ 10 ∙ share

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Robust Face Detection via Learning Small Faces on Hard Images

Recent anchor-based deep face detectors have achieved promising performa...
11/28/2018 ∙ by Zhishuai Zhang, et al. ∙ 0 ∙ share

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Biconvex Landscape In SDP-Related Learning

Many machine learning problems can be reduced to learning a low-rank pos...
11/03/2018 ∙ by En-Liang Hu, et al. ∙ 0 ∙ share

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Image Captioning based on Deep Reinforcement Learning

Recently it has shown that the policy-gradient methods for reinforcement...
09/13/2018 ∙ by Haichao Shi, et al. ∙ 0 ∙ share

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Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

New technologies have enabled the investigation of biology and human hea...
06/30/2018 ∙ by Marinka Zitnik, et al. ∙ 0 ∙ share

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Network Enhancement: a general method to denoise weighted biological networks

Networks are ubiquitous in biology where they encode connectivity patter...
05/09/2018 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents

Movies provide us with a mass of visual content as well as attracting st...
04/25/2018 ∙ by Bo Wang, et al. ∙ 0 ∙ share

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Deep Co-Training for Semi-Supervised Image Recognition

In this paper, we study the problem of semi-supervised image recognition...
03/15/2018 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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Learning to Synthesize

In many scenarios we need to find the most likely program under a local ...
02/21/2018 ∙ by Yingfei Xiong, et al. ∙ 0 ∙ share

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Deep Regression Forests for Age Estimation

Age estimation from facial images is typically cast as a nonlinear regre...
12/19/2017 ∙ by Wei Shen, et al. ∙ 0 ∙ share

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Single-Shot Object Detection with Enriched Semantics

We propose a novel single shot object detection network named Detection ...
12/01/2017 ∙ by Zhishuai Zhang, et al. ∙ 0 ∙ share

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Gradually Updated Neural Networks for Large-Scale Image Recognition

We present a simple yet effective neural network architecture for image ...
11/25/2017 ∙ by Siyuan Qiao, et al. ∙ 0 ∙ share

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SYSTRAN Purely Neural MT Engines for WMT2017

This paper describes SYSTRAN's systems submitted to the WMT 2017 shared ...
09/12/2017 ∙ by Yongchao Deng, et al. ∙ 0 ∙ share

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Bo Wang

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