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06/15/2023
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain
The pervasive influence of misinformation has far-reaching and detriment...
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06/14/2023
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy
Graph Neural Networks (GNNs) have achieved great success in modeling gra...
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10/13/2021
Cross-lingual COVID-19 Fake News Detection
The COVID-19 pandemic poses a great threat to global public health. Mean...
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05/22/2020
CoAID: COVID-19 Healthcare Misinformation Dataset
As the COVID-19 virus quickly spreads around the world, unfortunately, m...
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11/27/2019
Warning Signs in Communicating the Machine Learning Detection Results of Misinformation with Individuals
With the prevalence of misinformation online, researchers have focused o...
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11/26/2019
CONAN: Complementary Pattern Augmentation for Rare Disease Detection
Rare diseases affect hundreds of millions of people worldwide but are ha...
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05/22/2018
Fake News Detection with Deep Diffusive Network Model
In recent years, due to the booming development of online social network...
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05/22/2018
EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model
Programming has been an important skill for researchers and practitioner...
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05/19/2018
GEN Model: An Alternative Approach to Deep Neural Network Models
In this paper, we introduce an alternative approach, namely GEN (Genetic...
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05/19/2018
Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models
In this paper, we aim at introducing a new machine learning model, namel...
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05/19/2018
Deep Loopy Neural Network Model for Graph Structured Data Representation Learning
Existing deep learning models may encounter great challenges in handling...
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05/19/2018
On Deep Ensemble Learning from a Function Approximation Perspective
In this paper, we propose to provide a general ensemble learning framewo...
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05/19/2018
GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization
Deep neural network learning can be formulated as a non-convex optimizat...
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03/23/2018
SEGEN: Sample-Ensemble Genetic Evolutional Network Model
Deep learning, a rebranding of deep neural network research works, has a...
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11/30/2017
LATTE: Application Oriented Social Network Embedding
In recent years, many research works propose to embed the network struct...
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11/30/2017
LATTE: Application Oriented Network Embedding
In recent years, many research works propose to embed the networked data...
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11/26/2017
BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion
Employees in companies can be divided into di erent communities, and tho...
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11/26/2017