b'Bo Wang'

research

∙ 05/12/2022

Dynamic Prefix-Tuning for Generative Template-based Event Extraction

We consider event extraction in a generative manner with template-based ...

Xiao Liu, et al. ∙

research

∙ 05/02/2022

Dual networks based 3D Multi-Person Pose Estimation from Monocular Video

Monocular 3D human pose estimation has made progress in recent years. Mo...

Yu Cheng, et al. ∙

research

∙ 04/03/2022

A sequence-to-sequence approach for document-level relation extraction

Motivated by the fact that many relations cross the sentence boundary, t...

John Giorgi, et al. ∙

research

∙ 03/31/2022

Traffic4cast at NeurIPS 2021 – Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes

The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...

Christian Eichenberger, et al. ∙

research

∙ 03/29/2022

Hybrid Routing Transformer for Zero-Shot Learning

Zero-shot learning (ZSL) aims to learn models that can recognize unseen ...

De Cheng, et al. ∙

research

∙ 03/04/2022

Interactive Image Synthesis with Panoptic Layout Generation

Interactive image synthesis from user-guided input is a challenging task...

Bo Wang, et al. ∙

research

∙ 02/07/2022

A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation

The segmentation module which precisely outlines the nodules is a crucia...

Xinliang Fu, et al. ∙

research

∙ 01/31/2022

MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection

The mortality of lung cancer has ranked high among cancers for many year...

Juanyun Mai, et al. ∙

research

∙ 01/28/2022

Neural-FST Class Language Model for End-to-End Speech Recognition

We propose Neural-FST Class Language Model (NFCLM) for end-to-end speech...

Antoine Bruguier, et al. ∙

research

∙ 12/31/2021

Random cohort effects and age groups dependency structure for mortality modelling and forecasting: Mixed-effects time-series model approach

There have been significant efforts devoted to solving the longevity ris...

Ka Kin Lam, et al. ∙

research

∙ 12/21/2021

High-Fidelity Point Cloud Completion with Low-Resolution Recovery and Noise-Aware Upsampling

Completing an unordered partial point cloud is a challenging task. Exist...

Ren-Wu Li, et al. ∙

research

∙ 11/10/2021

Traffic4cast – Large-scale Traffic Prediction using 3DResNet and Sparse-UNet

The IARAI competition Traffic4cast 2021 aims to predict short-term city-...

Bo Wang, et al. ∙

research

∙ 11/08/2021

MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers

Mass spectrometry is a key tool in the study of small molecules, playing...

Adamo Young, et al. ∙

research

∙ 09/06/2021

Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction

Aspect-level sentiment classification (ALSC) aims at identifying the sen...

Bo Wang, et al. ∙

research

∙ 09/03/2021

A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis

Dementia is a family of neurogenerative conditions affecting memory and ...

Dimitris Gkoumas, et al. ∙

research

∙ 08/06/2021

Transferring Knowledge Distillation for Multilingual Social Event Detection

Recently published graph neural networks (GNNs) show promising performan...

Jiaqian Ren, et al. ∙

research

∙ 06/30/2021

Evaluation of Thematic Coherence in Microblogs

Collecting together microblogs representing opinions about the same topi...

Iman Munire Bilal, et al. ∙

research

∙ 06/29/2021

Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function

Numerous detection problems in computer vision, including road crack det...

Kai Li, et al. ∙

research

∙ 06/22/2021

SynGuar: Guaranteeing Generalization in Programming by Example

Programming by Example (PBE) is a program synthesis paradigm in which th...

Bo Wang, et al. ∙

research

∙ 05/22/2021

Two-stage Training for Learning from Label Proportions

Learning from label proportions (LLP) aims at learning an instance-level...

Jiabin Liu, et al. ∙

research

∙ 03/29/2021

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

Onfocus detection aims at identifying whether the focus of the individua...

Dingwen Zhang, et al. ∙

research

∙ 02/18/2021

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...

Ka Kin Lam, et al. ∙

research

∙ 02/18/2021

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

Human mortality patterns and trajectories in closely related populations...

Ka Kin Lam, et al. ∙

research

∙ 02/18/2021

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

Bipolar disorder (BD) and borderline personality disorder (BPD) are two ...

Bo Wang, et al. ∙

research

∙ 02/05/2021

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...

Lizuo Liu, et al. ∙

research

∙ 01/27/2021

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

The explosive growth of fake news along with destructive effects on poli...

Yuxiang Ren, et al. ∙

research

∙ 01/11/2021

Reinforcement Learning under Model Risk for Biomanufacturing Fermentation Control

In the biopharmaceutical manufacturing, fermentation process plays a cri...

Bo Wang, et al. ∙

research

∙ 10/13/2020

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

Estimating 3D human poses from a monocular video is still a challenging ...

Cheng Yu, et al. ∙

research

∙ 10/10/2020

Information Extraction from Swedish Medical Prescriptions with Sig-Transformer Encoder

Relying on large pretrained language models such as Bidirectional Encode...

John Pougue Biyong, et al. ∙

research

∙ 09/28/2020

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

Incremental processing is widely-adopted in many applications, ranging f...

Zuozhi Wang, et al. ∙

research

∙ 09/27/2020

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...

Bo Wang, et al. ∙

research

∙ 08/08/2020

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...

Bo Wang, et al. ∙

research

∙ 08/03/2020

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...

Wenzhong Zhang, et al. ∙

research

∙ 08/02/2020

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...

Bo Wang, et al. ∙

research

∙ 06/19/2020

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 ...

Keqi Wang, et al. ∙

research

∙ 06/05/2020

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations

We present DeCLUTR: Deep Contrastive Learning for Unsupervised Textual R...

John M. Giorgi, et al. ∙

research

∙ 05/28/2020

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 ...

Bo Wang, et al. ∙

research

∙ 04/30/2020

Semantic Triple Encoder for Fast Open-Set Link Prediction

We improve both the open-set generalization and efficiency of link predi...

Bo Wang, et al. ∙

research

∙ 04/23/2020

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

A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...

Qingsen Yan, et al. ∙

research

∙ 04/15/2020

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...

Linhao Li, et al. ∙

research

∙ 02/28/2020

The importance of transparency and reproducibility in artificial intelligence research

In their study, McKinney et al. showed the high potential of artificial ...

Benjamin Haibe-Kains, et al. ∙

research

∙ 02/03/2020

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...

Bo Wang, et al. ∙

research

∙ 01/21/2020

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

Medical image segmentation is a difficult but important task for many cl...

Jesse Sun, et al. ∙

research

∙ 01/05/2020

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 ...

Zhiyong Dou, et al. ∙

research

∙ 12/31/2019

Diversity Transfer Network for Few-Shot Learning

Few-shot learning is a challenging task that aims at training a classifi...

Mengting Chen, et al. ∙

research

∙ 12/20/2019

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...

John Giorgi, et al. ∙

research

∙ 11/25/2019

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 ...

Bo Wang, et al. ∙

research

∙ 11/14/2019

Progressive Feature Polishing Network for Salient Object Detection

Feature matters for salient object detection. Existing methods mainly fo...

Bo Wang, et al. ∙

research

∙ 10/13/2019

A Pooled Quantile Estimator for Parallel Simulations

Quantile is an important risk measure quantifying the stochastic system ...

Qiong Zhang, et al. ∙

research

∙ 09/24/2019

s-LWSR: Super Lightweight Super-Resolution Network

Deep learning (DL) architectures for superresolution (SR) normally conta...

biao Li, et al. ∙

Bo Wang

Featured Co-authors