b'Tao Zhou'

research

∙ 05/24/2023

Collaborative Recommendation Model Based on Multi-modal Multi-view Attention Network: Movie and literature cases

The existing collaborative recommendation models that use multi-modal in...

0 Zheng Hu, et al. ∙

research

∙ 04/22/2023

Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model

The Segment Anything Model (SAM) is a recently developed large model for...

0 Yizhe Zhang, et al. ∙

research

∙ 04/09/2023

AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources

We present an end-to-end automated workflow that uses large-scale remote...

0 Anakha V Babu, et al. ∙

research

∙ 02/07/2023

IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning

In this paper, a novel framework is established for uncertainty quantifi...

0 Ling Guo, et al. ∙

research

∙ 02/03/2023

Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation

This is the second part of our series works on failure-informed adaptive...

0 Zhiwei Gao, et al. ∙

research

∙ 01/13/2023

Prompting Neural Machine Translation with Translation Memories

Improving machine translation (MT) systems with translation memories (TM...

0 Abudurexiti Reheman, et al. ∙

research

∙ 12/01/2022

A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms

Brain network provides important insights for the diagnosis of many brai...

0 Zhengwang Xia, et al. ∙

research

∙ 11/24/2022

Identifying discreditable firms in a large-scale ownership network

Violations of laws and regulations about food safety, production safety,...

0 Tao Zhou, et al. ∙

research

∙ 11/01/2022

SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates

CNN-based surrogates have become prevalent in scientific applications to...

0 Baixi Sun, et al. ∙

research

∙ 10/01/2022

Failure-informed adaptive sampling for PINNs

Physics-informed neural networks (PINNs) have emerged as an effective te...

0 Zhiwei Gao, et al. ∙

research

∙ 09/28/2022

Prompt-driven efficient Open-set Semi-supervised Learning

Open-set semi-supervised learning (OSSL) has attracted growing interest,...

0 Haoran Li, et al. ∙

research

∙ 09/26/2022

Myopia prediction for adolescents via time-aware deep learning

Background: Quantitative prediction of the adolescents' spherical equiva...

0 Junjia Huang, et al. ∙

research

∙ 09/20/2022

Deep learning at the edge enables real-time streaming ptychographic imaging

Coherent microscopy techniques provide an unparalleled multi-scale view ...

27 Anakha V Babu, et al. ∙

research

∙ 08/21/2022

A predictor-corrector deep learning algorithm for high dimensional stochastic partial differential equations

In this paper, we present a deep learning-based numerical method for app...

0 He Zhang, et al. ∙

research

∙ 08/04/2022

Equivalence between Time Series Predictability and Bayes Error Rate

Predictability is an emerging metric that quantifies the highest possibl...

0 En Xu, et al. ∙

research

∙ 07/27/2022

Camouflaged Object Detection via Context-aware Cross-level Fusion

Camouflaged object detection (COD) aims to identify the objects that con...

0 Geng Chen, et al. ∙

research

∙ 04/27/2022

Discrete energy analysis of the third-order variable-step BDF time-stepping for diffusion equations

This is one of our series works on discrete energy analysis of the varia...

0 Hong-lin Liao, et al. ∙

research

∙ 03/21/2022

Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation

In real-world scenarios, many large-scale datasets often contain inaccur...

0 Yongliang Ding, et al. ∙

research

∙ 03/17/2022

On Vision Features in Multimodal Machine Translation

Previous work on multimodal machine translation (MMT) has focused on the...

0 Bei Li, et al. ∙

research

∙ 03/16/2022

Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations

We introduce a sampling based machine learning approach, Monte Carlo phy...

0 Ling Guo, et al. ∙

research

∙ 02/10/2022

Consistency and Diversity induced Human Motion Segmentation

Subspace clustering is a classical technique that has been widely used f...

10 Tao Zhou, et al. ∙

research

∙ 11/27/2021

Quantifying human mixing patterns in Chinese provinces outside Hubei after the 2020 lockdown was lifted

Contact patterns play a key role in the spread of respiratory infectious...

0 Yining Zhao, et al. ∙

research

∙ 11/08/2021

threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

Host-based threats such as Program Attack, Malware Implantation, and Adv...

0 Su Wang, et al. ∙

research

∙ 09/22/2021

The NiuTrans Machine Translation Systems for WMT21

This paper describes NiuTrans neural machine translation systems of the ...

0 Shuhan Zhou, et al. ∙

research

∙ 09/14/2021

Information Cocoons in Online Navigation

Social media and online navigation bring us enjoyable experience in acce...

0 Lei Hou, et al. ∙

research

∙ 08/30/2021

Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models

We introduce in this work the normalizing field flows (NFF) for learning...

0 Ling Guo, et al. ∙

research

∙ 08/18/2021

Specificity-preserving RGB-D Saliency Detection

RGB-D saliency detection has attracted increasing attention, due to its ...

12 Tao Zhou, et al. ∙

research

∙ 08/03/2021

A well-conditioned direct PinT algorithm for first- and second-order evolutionary equations

In this paper, we propose a direct parallel-in-time (PinT) algorithm for...

0 Jun Liu, et al. ∙

research

∙ 06/28/2021

An augmented Lagrangian deep learning method for variational problems with essential boundary conditions

This paper is concerned with a novel deep learning method for variationa...

0 Jianguo Huang, et al. ∙

research

∙ 05/26/2021

Context-aware Cross-level Fusion Network for Camouflaged Object Detection

Camouflaged object detection (COD) is a challenging task due to the low ...

0 Yujia Sun, et al. ∙

research

∙ 04/13/2021

Optimal design for kernel interpolation: applications to uncertainty quantification

The paper is concerned with classic kernel interpolation methods, in add...

0 Akil Narayan, et al. ∙

research

∙ 04/13/2021

An acceleration strategy for randomize-then-optimize sampling via deep neural networks

Randomize-then-optimize (RTO) is widely used for sampling from posterior...

0 Liang Yan, et al. ∙

research

∙ 04/13/2021

Stein variational gradient descent with local approximations

Bayesian computation plays an important role in modern machine learning ...

0 Liang Yan, et al. ∙

research

∙ 04/06/2021

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation

It has been found that residual networks are an Euler discretization of ...

0 Bei Li, et al. ∙

research

∙ 03/25/2021

Quantifying the efficacy of childcare services on women employment

Women are set back in the labor market after becoming mother. Intuitivel...

0 Jing-Yi Liao, et al. ∙

research

∙ 03/14/2021

Collaborative Filtering Approach to Link Prediction

Link prediction is a fundamental challenge in network science. Among var...

0 Yan-Li Lee, et al. ∙

research

∙ 02/23/2021

Progresses and Challenges in Link Prediction

Link prediction is a paradigmatic problem in network science, which aims...

0 Tao Zhou, et al. ∙

research

∙ 02/09/2021

Stability implies robust convergence of a class of diagonalization-based iterative algorithms

Solving wave equations in a time-parallel manner is challenging, and the...

0 Shulin Wu, et al. ∙

research

∙ 02/09/2021

A new discrete energy technique for multi-step backward difference formulas

The backward differentiation formula (BDF) is a useful family of implici...

0 Honglin Liao, et al. ∙

research

∙ 12/19/2020

An energy stable and maximum bound preserving scheme with variable time steps for time fractional Allen-Cahn equation

In this work, we propose a Crank-Nicolson-type scheme with variable step...

0 Hong-lin Liao, et al. ∙

research

∙ 12/12/2020

Improving EEG Decoding via Clustering-based Multi-task Feature Learning

Accurate electroencephalogram (EEG) pattern decoding for specific mental...

0 Yu Zhang, et al. ∙

research

∙ 12/07/2020

High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming

Lorentz transmission electron microscopy is a unique characterization te...

0 Tao Zhou, et al. ∙

research

∙ 11/26/2020

Positive definiteness of real quadratic forms resulting from the variable-step approximation of convolution operators

The positive definiteness of real quadratic forms with convolution struc...

0 Hong-lin Liao, et al. ∙

research

∙ 10/10/2020

Light Field Salient Object Detection: A Review and Benchmark

Salient object detection (SOD) is a long-standing research topic in comp...

0 Yao Jiang, et al. ∙

research

∙ 09/22/2020

Dynamic Fusion based Federated Learning for COVID-19 Detection

Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine...

0 Weishan Zhang, et al. ∙

research

∙ 08/23/2020

Sparse approximation of data-driven Polynomial Chaos expansions: an induced sampling approach

One of the open problems in the field of forward uncertainty quantificat...

0 Ling Guo, et al. ∙

research

∙ 08/07/2020

Analysis of the second order BDF scheme with variable steps for the molecular beam epitaxial model without slope selection

In this work, we are concerned with the stability and convergence analys...

0 Hong-lin Liao, et al. ∙

research

∙ 08/01/2020

RGB-D Salient Object Detection: A Survey

Salient object detection (SOD), which simulates the human visual percept...

0 Tao Zhou, et al. ∙

research

∙ 05/19/2020

ParaDIAG: Parallel-in-Time Algorithms Based on the Diagonalization Technique

In 2008, Maday and Rønquist introduced an interesting new approach for t...

0 Martin J. Gander, et al. ∙

research

∙ 04/22/2020

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causi...

16 Deng-Ping Fan, et al. ∙

Tao Zhou

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