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09/20/2023
NeighViz: Towards Better Understanding of Neighborhood Effects on Social Groups with Spatial Data
Understanding how local environments influence individual behaviors, suc...
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08/15/2023
Active Inverse Learning in Stackelberg Trajectory Games
Game-theoretic inverse learning is the problem of inferring the players'...
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08/07/2023
Intelligence-Endogenous Management Platform for Computing and Network Convergence
Massive emerging applications are driving demand for the ubiquitous depl...
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08/04/2023
Model Provenance via Model DNA
Understanding the life cycle of the machine learning (ML) model is an in...
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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...
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07/05/2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Federated learning is a decentralized and privacy-preserving technique t...
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06/26/2023
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
Gaussian process regression (GPR) is a non-parametric model that has bee...
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06/23/2023
ToolQA: A Dataset for LLM Question Answering with External Tools
Large Language Models (LLMs) have demonstrated impressive performance in...
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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...
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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 ...
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06/05/2023
R-Mixup: Riemannian Mixup for Biological Networks
Biological networks are commonly used in biomedical and healthcare domai...
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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...
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05/26/2023
Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
With the advent of group equivariant convolutions in deep networks liter...
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04/30/2023
Domain Agnostic Fourier Neural Operators
Fourier neural operators (FNOs) can learn highly nonlinear mappings betw...
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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, ...
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03/02/2023
Stochastic Clustered Federated Learning
Federated learning is a distributed learning framework that takes full a...
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01/28/2023
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics
Gradient-based meta-learning methods have primarily been applied to clas...
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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...
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01/10/2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Training deep neural networks (DNNs) with limited supervision has been a...
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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 ...
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12/27/2022
EDoG: Adversarial Edge Detection For Graph Neural Networks
Graph Neural Networks (GNNs) have been widely applied to different tasks...
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12/09/2022
Polynomial Distributions and Transformations
Polynomials are common algebraic structures, which are often used to app...
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11/29/2022
Transferability Estimation Based On Principal Gradient Expectation
Deep transfer learning has been widely used for knowledge transmission i...
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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...
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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...
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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...
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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 ...
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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...
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10/03/2022
Cost Design in Atomic Routing Games
An atomic routing game is a multiplayer game on a directed graph. Each p...
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09/22/2022
Unified Implementation of Adaptive Finite Element Methods in Matlab
We provide a unified implementation of the adaptive finite element metho...
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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...
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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...
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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 ...
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07/13/2022
Relationship Design for Socially Desirable Behavior in Static Games
Interactions among multiple self-interested agents may not necessarily y...
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07/08/2022
Physics-Informed Deep Neural Operator Networks
Standard neural networks can approximate general nonlinear operators, re...
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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...
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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...
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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...
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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...
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05/23/2022
Nonparametric learning of kernels in nonlocal operators
Nonlocal operators with integral kernels have become a popular tool for ...
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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...
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04/04/2022
mVEM: A MATLAB Software Package for the Virtual Element Methods
This paper summarizes the development of mVEM, a MATLAB software package...
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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...
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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...
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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...
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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...
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02/18/2022
Programming of linear virtual element methods in three dimensions
We present a simple and efficient MATLAB implementation of the linear vi...
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02/17/2022
The Development and Prospect of Code Clone
The application of code clone technology accelerates code search, improv...
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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...
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02/12/2022