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09/07/2023
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Open Information Extraction (OIE) task aims at extracting structured fac...
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09/06/2023
Helper Recommendation with seniority control in Online Health Community
Online health communities (OHCs) are forums where patients with similar ...
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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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05/30/2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
Large language models (LLMs) have significantly advanced the field of na...
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05/01/2023
Deep Graph Representation Learning and Optimization for Influence Maximization
Influence maximization (IM) is formulated as selecting a set of initial ...
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03/13/2023
Beyond Fish and Bicycles: Exploring the Varieties of Online Women's Ideological Spaces
The Internet has been instrumental in connecting under-represented and v...
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02/04/2023
Knowledge-enhanced Neural Machine Reasoning: A Review
Knowledge-enhanced neural machine reasoning has garnered significant att...
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12/26/2022
Saliency-Augmented Memory Completion for Continual Learning
Continual Learning is considered a key step toward next-generation Artif...
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11/19/2022
DeepGAR: Deep Graph Learning for Analogical Reasoning
Analogical reasoning is the process of discovering and mapping correspon...
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09/16/2022
A regularization-patching dual quaternion optimization method for solving the hand-eye calibration problem
The hand-eye calibration problem is an important application problem in ...
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06/29/2022
SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice
To counter online abuse and misinformation, social media platforms have ...
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06/24/2022
Deep Generation of Heterogeneous Networks
Heterogeneous graphs are ubiquitous data structures that can inherently ...
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06/24/2022
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems
Graph diffusion problems such as the propagation of rumors, computer vir...
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03/07/2022
Minimax principle for right eigenvalues of dual quaternion matrices and their generalized inverses
Dual quaternions can represent rigid body motion in 3D spaces, and have ...
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01/30/2022
Low Rank Approximation of Dual Complex Matrices
Dual complex numbers can represent rigid body motion in 2D spaces. Dual ...
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01/19/2022
"Learn the Facts About COVID-19": Analyzing the Use of Warning Labels on TikTok Videos
During the COVID-19 pandemic, health-related misinformation and harmful ...
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11/03/2021
Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos
Short videos have become one of the leading media used by younger genera...
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10/18/2021
A DCT-based Tensor Completion Approach for Recovering Color Images and Videos from Highly Undersampled Data
Recovering color images and videos from highly undersampled data is a fu...
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04/12/2021
ST-SVD Factorization and s-Diagonal Tensors
A third order real tensor is mapped to a special f-diagonal tensor by go...
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03/29/2021
An Orthogonal Equivalence Theorem for Third Order Tensors
In 2011, Kilmer and Martin proposed tensor singular value decomposition ...
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01/16/2021
Dissecting the Meme Magic: Understanding Indicators of Virality in Image Memes
Despite the increasingly important role played by image memes, we do not...
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10/01/2020
Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion
Tensor completion refers to the task of estimating the missing data from...
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09/08/2020
A First Look at Zoombombing
Online meeting tools like Zoom and Google Meet have become central to ou...
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05/20/2020
A Parallelizable Method for Missing Internet Traffic Tensor Data
Recovery of internet network traffic data from incomplete observed data ...
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05/20/2020
A Parallelizable Optimization Method for Missing Internet Traffic Tensor Data
Recovery of internet network traffic data from incomplete observed data ...
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04/08/2020