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09/19/2023
Exploring the Influence of Information Entropy Change in Learning Systems
In this work, we explore the influence of entropy change in deep learnin...
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09/10/2023
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps
Over decades, neuroscience has accumulated a wealth of research results ...
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07/19/2023
PharmacyGPT: The AI Pharmacist
In this study, we introduce PharmacyGPT, a novel framework to assess the...
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07/10/2023
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification
With the popularity of deep neural networks (DNNs), model interpretabili...
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06/20/2023
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications
This paper explores new frontiers in agricultural natural language proce...
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05/17/2023
SAM for Poultry Science
In recent years, the agricultural industry has witnessed significant adv...
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05/15/2023
Learning Better Contrastive View from Radiologist's Gaze
Recent self-supervised contrastive learning methods greatly benefit from...
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04/24/2023
Artificial General Intelligence (AGI) for Education
Artificial general intelligence (AGI) has gained global recognition as a...
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04/13/2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Large pre-trained models, also known as foundation models (FMs), are tra...
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04/12/2023
AGI for Agriculture
Artificial General Intelligence (AGI) is poised to revolutionize a varie...
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03/27/2023
Core-Periphery Principle Guided Redesign of Self-Attention in Transformers
Designing more efficient, reliable, and explainable neural network archi...
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03/27/2023
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network
The evolution of convolutional neural networks (CNNs) can be largely att...
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03/27/2023
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
Linking computational natural language processing (NLP) models and neura...
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01/27/2023
Context Matters: A Strategy to Pre-train Language Model for Science Education
This study aims at improving the performance of scoring student response...
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11/04/2022
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks
Using functional magnetic resonance imaging (fMRI) and deep learning to ...
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10/27/2022
BI AVAN: Brain inspired Adversarial Visual Attention Network
Visual attention is a fundamental mechanism in the human brain, and it i...
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06/22/2022
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations
Artificial neural networks (ANNs), originally inspired by biological neu...
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06/17/2022
Rectify ViT Shortcut Learning by Visual Saliency
Shortcut learning is common but harmful to deep learning models, leading...
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05/31/2022
Dataset Bias in Android Malware Detection
Researchers have proposed kinds of malware detection methods to solve th...
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05/25/2022
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning
Learning harmful shortcuts such as spurious correlations and biases prev...
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05/20/2022
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning
Learning with little data is challenging but often inevitable in various...
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05/20/2022
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers
Vision transformer (ViT) and its variants have achieved remarkable succe...
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05/19/2022
Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention
Using deep learning models to recognize functional brain networks (FBNs)...
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04/20/2022
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers
How to identify and characterize functional brain networks (BN) is funda...
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04/06/2022
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis
When deep neural network (DNN) was first introduced to the medical image...
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02/05/2020
MadDroid: Characterising and Detecting Devious Ad Content for Android Apps
Advertisement drives the economy of the mobile app ecosystem. As a key c...
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05/31/2018
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)
Simultaneous modeling of the spatio-temporal variation patterns of brain...
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10/24/2017