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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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03/16/2023
A Novel Scholar Embedding Model for Interdisciplinary Collaboration
Interdisciplinary collaboration has become a driving force for scientifi...
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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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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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06/18/2022
An Invertible Graph Diffusion Neural Network for Source Localization
Localizing the source of graph diffusion phenomena, such as misinformati...
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05/22/2022
Edge Graph Neural Networks for Massive MIMO Detection
Massive Multiple-Input Multiple-Out (MIMO) detection is an important pro...
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12/23/2021
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
During the past several years, a surge of multi-lingual Pre-trained Lang...
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12/22/2021
A Convergent ADMM Framework for Efficient Neural Network Training
As a well-known optimization framework, the Alternating Direction Method...
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12/17/2021
Community-based Layerwise Distributed Training of Graph Convolutional Networks
The Graph Convolutional Network (GCN) has been successfully applied to m...
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05/20/2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework
The Graph Augmented Multi-layer Perceptron (GA-MLP) model is an attracti...
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02/22/2021
Sign-regularized Multi-task Learning
Multi-task learning is a framework that enforces different learning task...
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09/09/2020
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training
Alternating minimization methods have recently been proposed as alternat...
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05/31/2019