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07/03/2023
Enhancing the Robustness of QMIX against State-adversarial Attacks
Deep reinforcement learning (DRL) performance is generally impacted by s...
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05/17/2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks
Meta-learning algorithms are able to learn a new task using previously l...
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03/17/2023
VPU-EM: An Event-based Modeling Framework to Evaluate NPU Performance and Power Efficiency at Scale
State-of-art NPUs are typically architected as a self-contained sub-syst...
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08/30/2022
HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise Attention
Elucidating and accurately predicting the druggability and bioactivities...
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05/08/2022
FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction
Deep learning is an important method for molecular design and exhibits c...
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02/24/2022
Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction
Existing Deep Neural Nets on crops growth prediction mostly rely on avai...
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12/25/2021
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?
Explainable Artificial Intelligence (XAI) has been identified as a viabl...
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04/16/2021
LAI Estimation of Cucumber Crop Based on Improved Fully Convolutional Network
LAI (Leaf Area Index) is of great importance for crop yield estimation i...
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02/03/2021
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images
Automatic CT segmentation of proximal femur is crucial for the diagnosis...
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10/15/2020
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things
Nowadays, Deep Learning as a service can be deployed in Internet of Thin...
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08/02/2020
Balancing Common Treatment and Epidemic Control in Medical Procurement during COVID-19: Transform-and-Divide Evolutionary Optimization
Balancing common disease treatment and epidemic control is a key objecti...
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12/01/2019
Model Embedded DRL for Intelligent Greenhouse Control
Greenhouse environment is the key to influence crops production. However...
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08/02/2019
Retrosynthesis with Attention-Based NMT Model and Chemical Analysis of the "Wrong" Predictions
We cast retrosynthesis as a machine translation problem by introducing a...
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11/09/2018
Sample-Efficient Policy Learning based on Completely Behavior Cloning
Direct policy search is one of the most important algorithm of reinforce...
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05/20/2018
Utilizing Bluetooth and Adaptive Signal Control Data for Urban Arterials Safety Analysis
Real-time safety analysis has become a hot research topic as it can more...
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05/20/2018
Real-Time Crash Risk Analysis of Urban Arterials Incorporating Bluetooth, Weather, and Adaptive Signal Control Data
Real-time safety analysis has become a hot research topic as it can reve...
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06/18/2012