b'Yue Yu'

research

∙ 09/20/2023

NeighViz: Towards Better Understanding of Neighborhood Effects on Social Groups with Spatial Data

Understanding how local environments influence individual behaviors, suc...

0 Yue Yu, et al. ∙

research

∙ 08/15/2023

Active Inverse Learning in Stackelberg Trajectory Games

Game-theoretic inverse learning is the problem of inferring the players'...

0 Yue Yu, et al. ∙

research

∙ 08/07/2023

Intelligence-Endogenous Management Platform for Computing and Network Convergence

Massive emerging applications are driving demand for the ubiquitous depl...

0 Zicong Hong, et al. ∙

research

∙ 08/04/2023

Model Provenance via Model DNA

Understanding the life cycle of the machine learning (ML) model is an in...

0 Xin Mu, et al. ∙

research

∙ 07/24/2023

FoodWise: Food Waste Reduction and Behavior Change on Campus with Data Visualization and Gamification

Food waste presents a substantial challenge with significant environment...

0 Yue Yu, et al. ∙

research

∙ 07/05/2023

Personalized Federated Learning via Amortized Bayesian Meta-Learning

Federated learning is a decentralized and privacy-preserving technique t...

0 Shiyu Liu, et al. ∙

research

∙ 06/26/2023

Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing

Gaussian process regression (GPR) is a non-parametric model that has bee...

0 Jinglong Luo, et al. ∙

research

∙ 06/23/2023

ToolQA: A Dataset for LLM Question Answering with External Tools

Large Language Models (LLMs) have demonstrated impressive performance in...

0 Yuchen Zhuang, et al. ∙

research

∙ 06/12/2023

Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training

Scientific document classification is a critical task for a wide range o...

0 Ran Xu, et al. ∙

research

∙ 06/07/2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises

Healthcare knowledge graphs (HKGs) have emerged as a promising tool for ...

9 Hejie Cui, et al. ∙

research

∙ 06/05/2023

R-Mixup: Riemannian Mixup for Biological Networks

Biological networks are commonly used in biomedical and healthcare domai...

6 Xuan Kan, et al. ∙

research

∙ 05/30/2023

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling

Learning from noisy labels is a challenge that arises in many real-world...

0 Yuchen Zhuang, et al. ∙

research

∙ 05/26/2023

Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications

With the advent of group equivariant convolutions in deep networks liter...

0 Gianfranco Cortes, et al. ∙

research

∙ 04/30/2023

Domain Agnostic Fourier Neural Operators

Fourier neural operators (FNOs) can learn highly nonlinear mappings betw...

0 Ning Liu, et al. ∙

research

∙ 03/31/2023

Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning

Markov games model interactions among multiple players in a stochastic, ...

0 Shenghui Chen, et al. ∙

research

∙ 03/02/2023

Stochastic Clustered Federated Learning

Federated learning is a distributed learning framework that takes full a...

0 Dun Zeng, et al. ∙

research

∙ 01/28/2023

MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics

Gradient-based meta-learning methods have primarily been applied to clas...

0 Lu Zhang, et al. ∙

research

∙ 01/11/2023

Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures

Molecular dynamics (MD) has served as a powerful tool for designing mate...

0 Huaiqian You, et al. ∙

research

∙ 01/10/2023

Neighborhood-Regularized Self-Training for Learning with Few Labels

Training deep neural networks (DNNs) with limited supervision has been a...

12 Ran Xu, et al. ∙

research

∙ 12/29/2022

INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation

Neural operators, which emerge as implicit solution operators of hidden ...

0 Ning Liu, et al. ∙

research

∙ 12/27/2022

EDoG: Adversarial Edge Detection For Graph Neural Networks

Graph Neural Networks (GNNs) have been widely applied to different tasks...

0 Xiaojun Xu, et al. ∙

research

∙ 12/09/2022

Polynomial Distributions and Transformations

Polynomials are common algebraic structures, which are often used to app...

0 Yue Yu, et al. ∙

research

∙ 11/29/2022

Transferability Estimation Based On Principal Gradient Expectation

Deep transfer learning has been widely used for knowledge transmission i...

0 Huiyan Qi, et al. ∙

research

∙ 11/27/2022

OBMeshfree: An optimization-based meshfree solver for nonlocal diffusion and peridynamics models

We present OBMeshfree, an Optimization-Based Meshfree solver for compact...

0 Yiming Fan, et al. ∙

research

∙ 11/09/2022

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

When reading a story, humans can rapidly understand new fictional charac...

0 Mo Yu, et al. ∙

research

∙ 10/31/2022

Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives

In this paper, we investigate the instability in the standard dense retr...

0 Si Sun, et al. ∙

research

∙ 10/27/2022

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

We present a new zero-shot dense retrieval (ZeroDR) method, COCO-DR, to ...

0 Yue Yu, et al. ∙

research

∙ 10/26/2022

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select

We study the problem of extracting N-ary relation tuples from scientific...

0 Yuchen Zhuang, et al. ∙

research

∙ 10/03/2022

Cost Design in Atomic Routing Games

An atomic routing game is a multiplayer game on a directed graph. Each p...

0 Yue Yu, et al. ∙

research

∙ 09/22/2022

Unified Implementation of Adaptive Finite Element Methods in Matlab

We provide a unified implementation of the adaptive finite element metho...

0 Yue Yu, et al. ∙

research

∙ 09/04/2022

Hybrid mixed discontinuous Galerkin finite element method for incompressible wormhole propagation problem

Wormhole propagation plays a very important role in the product enhancem...

0 Jiansong Zhang, et al. ∙

research

∙ 09/04/2022

Hybrid mixed discontinuous Galerkin finite element method for incompressible miscible displacement problem

A new hybrid mixed discontinuous Galerkin finite element (HMDGFE) method...

0 Jiansong Zhang, et al. ∙

research

∙ 07/17/2022

Inverse Matrix Games with Unique Quantal Response Equilibrium

In an inverse game problem, one needs to infer the cost function of the ...

0 Yue Yu, et al. ∙

research

∙ 07/13/2022

Relationship Design for Socially Desirable Behavior in Static Games

Interactions among multiple self-interested agents may not necessarily y...

0 Shenghui Chen, et al. ∙

research

∙ 07/08/2022

Physics-Informed Deep Neural Operator Networks

Standard neural networks can approximate general nonlinear operators, re...

28 Somdatta Goswami, et al. ∙

research

∙ 06/25/2022

ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation

The concept relatedness estimation (CRE) task is to determine whether tw...

0 Yueen Ma, et al. ∙

research

∙ 06/15/2022

PolyU-BPCoMa: A Dataset and Benchmark Towards Mobile Colorized Mapping Using a Backpack Multisensorial System

Constructing colorized point clouds from mobile laser scanning and image...

0 Wenzhong Shi, et al. ∙

research

∙ 06/14/2022

varFEM: variational formulation based programming for finite element methods in Matlab

This paper summarizes the development of varFEM, which provides a realiz...

0 Yue Yu, et al. ∙

research

∙ 06/04/2022

MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling

We propose MetaNOR, a meta-learnt approach for transfer-learning operato...

0 Lu Zhang, et al. ∙

research

∙ 05/23/2022

Nonparametric learning of kernels in nonlocal operators

Nonlocal operators with integral kernels have become a popular tool for ...

0 Fei Lu, et al. ∙

research

∙ 05/19/2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

The ever-growing model size and scale of compute have attracted increasi...

8 Yang Xiang, et al. ∙

research

∙ 04/04/2022

mVEM: A MATLAB Software Package for the Virtual Element Methods

This paper summarizes the development of mVEM, a MATLAB software package...

0 Yue Yu, et al. ∙

research

∙ 04/01/2022

A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements

We present a data-driven workflow to biological tissue modeling, which a...

0 Huaiqian You, et al. ∙

research

∙ 03/18/2022

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning

Weakly-supervised learning (WSL) has shown promising results in addressi...

0 Rongzhi Zhang, et al. ∙

research

∙ 03/15/2022

Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling

Constitutive modeling based on continuum mechanics theory has been a cla...

0 Huaiqian You, et al. ∙

research

∙ 02/25/2022

Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems

Multiscale modeling is an effective approach for investigating multiphys...

14 Minglang Yin, et al. ∙

research

∙ 02/18/2022

Programming of linear virtual element methods in three dimensions

We present a simple and efficient MATLAB implementation of the linear vi...

0 Yue Yu, et al. ∙

research

∙ 02/17/2022

The Development and Prospect of Code Clone

The application of code clone technology accelerates code search, improv...

0 Xunhui Zhang, et al. ∙

research

∙ 02/14/2022

A Meshfree Peridynamic Model for Brittle Fracture in Randomly Heterogeneous Materials

In this work we aim to develop a unified mathematical framework and a re...

0 Yiming Fan, et al. ∙

research

∙ 02/12/2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity

Despite impressive capabilities and outstanding performance, deep neural...

0 Haibo Jin, et al. ∙

Yue Yu

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